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John Richard Hauser

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Toubia, Olivier & Hauser, John & Simester, Duncan, 2003. "Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis," Working papers 4285-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Toubia, Olivier & Simester, Duncan & Hauser, John & Dahan, Ely, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Working papers 4279-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    3. Greg Allenby & Geraldine Fennell & Joel Huber & Thomas Eagle & Tim Gilbride & Dan Horsky & Jaehwan Kim & Peter Lenk & Rich Johnson & Elie Ofek & Bryan Orme & Thomas Otter & Joan Walker, 2005. "Adjusting Choice Models to Better Predict Market Behavior," Marketing Letters, Springer, vol. 16(3), pages 197-208, December.
    4. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    5. Acosta, Lilibeth A. & Enano, Nelson H. & Magcale-Macandog, Damasa B. & Engay, Kathreena G. & Herrera, Maria Noriza Q. & Nicopior, Ozzy Boy S. & Sumilang, Mic Ivan V. & Eugenio, Jemimah Mae A. & Lucht,, 2013. "How sustainable is bioenergy production in the Philippines? A conjoint analysis of knowledge and opinions of people with different typologies," Applied Energy, Elsevier, vol. 102(C), pages 241-253.
    6. David Hensher & Sean Puckett & John Rose, 2007. "Extending stated choice analysis to recognise agent-specific attribute endogeneity in bilateral group negotiation and choice: a think piece," Transportation, Springer, vol. 34(6), pages 667-679, November.
    7. Vishva Danthurebandara & Jie Yu & Martina Vandebroek, 2011. "Sequential choice designs to estimate the heterogeneity distribution of willingness-to-pay," Quantitative Marketing and Economics (QME), Springer, vol. 9(4), pages 429-448, December.

  2. Toubia, Olivier & Simester, Duncan & Hauser, John & Dahan, Ely, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Working papers 4171-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Rod Mccoll & Yann Truong & Antonella La Rocca, 2019. "Service guarantees as a base for positioning in B2B," Post-Print hal-02326105, HAL.
    2. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    3. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    4. Murray, Kyle B. & Häubl, Gerald, 2009. "Personalization without Interrogation: Towards more Effective Interactions between Consumers and Feature-Based Recommendation Agents," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 138-146.
    5. Nikhil Bhat & Vivek F. Farias & Ciamac C. Moallemi & Deeksha Sinha, 2020. "Near-Optimal A-B Testing," Management Science, INFORMS, vol. 66(10), pages 4477-4495, October.
    6. Dimitris Bertsimas & Velibor V. Mišić, 2017. "Robust Product Line Design," Operations Research, INFORMS, vol. 65(1), pages 19-37, February.
    7. Fay, Scott & Mitra, Deb & Wang, Qiong, 2009. "Ask or infer? Strategic implications of alternative learning approaches in customization," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 136-152.
    8. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    9. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    10. Dimitris Bertsimas & Allison O'Hair, 2013. "Learning Preferences Under Noise and Loss Aversion: An Optimization Approach," Operations Research, INFORMS, vol. 61(5), pages 1190-1199, October.
    11. Jimmy Q. Li & Paat Rusmevichientong & Duncan Simester & John N. Tsitsiklis & Spyros I. Zoumpoulis, 2015. "The Value of Field Experiments," Management Science, INFORMS, vol. 61(7), pages 1722-1740, July.
    12. Martijn G. de Jong & Jan-Benedict E. M. Steenkamp & Bernard P. Veldkamp, 2009. "A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales," Marketing Science, INFORMS, vol. 28(4), pages 674-689, 07-08.
    13. Alexandre Belloni & Robert Freund & Matthew Selove & Duncan Simester, 2008. "Optimizing Product Line Designs: Efficient Methods and Comparisons," Management Science, INFORMS, vol. 54(9), pages 1544-1552, September.
    14. Ghaderi, Mohammad & Kadziński, Miłosz, 2021. "Incorporating uncovered structural patterns in value functions construction," Omega, Elsevier, vol. 99(C).
    15. Eggers, Felix & Sattler, Henrik, 2009. "Hybrid individualized two-level choice-based conjoint (HIT-CBC): A new method for measuring preference structures with many attribute levels," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 108-118.
    16. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
    17. Theodoros Evgeniou & Constantinos Boussios & Giorgos Zacharia, 2005. "Generalized Robust Conjoint Estimation," Marketing Science, INFORMS, vol. 24(3), pages 415-429, May.
    18. Joffre Swait & Rick L. Andrews, 2003. "Enriching Scanner Panel Models with Choice Experiments," Marketing Science, INFORMS, vol. 22(4), pages 442-460, September.
    19. Rajeev Kohli & Khaled Boughanmi & Vikram Kohli, 2019. "Randomized Algorithms for Lexicographic Inference," Operations Research, INFORMS, vol. 67(2), pages 357-375, March.
    20. Dimitris Bertsimas & Velibor V. Mišić, 2017. "Robust Product Line Design," Operations Research, INFORMS, vol. 65(1), pages 19-37, February.
    21. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    22. Decker, Reinhold & Trusov, Michael, 2010. "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 293-307.
    23. Orbach Yair & Fruchter Gila E., 2010. "A Utility-Based Diffusion Model Applied to the Digital Camera Case," Review of Marketing Science, De Gruyter, vol. 8(1), pages 1-28, June.
    24. Min Ding & Young-Hoon Park & Eric T. Bradlow, 2009. "Barter Markets for Conjoint Analysis," Management Science, INFORMS, vol. 55(6), pages 1003-1017, June.
    25. Anocha Aribarg & Neeraj Arora & Moon Young Kang, 2010. "Predicting Joint Choice Using Individual Data," Marketing Science, INFORMS, vol. 29(1), pages 139-157, 01-02.
    26. Joel Steckel & Russell Winer & Randolph Bucklin & Benedict Dellaert & Xavier Drèze & Gerald Häubl & Sandy Jap & John Little & Tom Meyvis & Alan Montgomery & Arvind Rangaswamy, 2005. "Choice in Interactive Environments," Marketing Letters, Springer, vol. 16(3), pages 309-320, December.
    27. Danaf, Mazen & Guevara, C. Angelo & Ben-Akiva, Moshe, 2023. "A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems," Journal of choice modelling, Elsevier, vol. 46(C).
    28. Xinfang (Jocelyn) Wang & Jeffrey D. Camm & David J. Curry, 2009. "A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem," Management Science, INFORMS, vol. 55(10), pages 1718-1728, October.
    29. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    30. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    31. Yupeng Chen & Raghuram Iyengar & Garud Iyengar, 2017. "Modeling Multimodal Continuous Heterogeneity in Conjoint Analysis—A Sparse Learning Approach," Marketing Science, INFORMS, vol. 36(1), pages 140-156, January.
    32. Dong, Songting & Ding, Min & Huber, Joel, 2010. "A simple mechanism to incentive-align conjoint experiments," International Journal of Research in Marketing, Elsevier, vol. 27(1), pages 25-32.
    33. Arinze Christian Nwoba & Nathaniel Boso & Matthew J. Robson, 2021. "Corporate sustainability strategies in institutional adversity: Antecedent, outcome, and contingency effects," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 787-807, February.
    34. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    35. Pantourakis, Michail & Tsafarakis, Stelios & Zervoudakis, Konstantinos & Altsitsiadis, Efthymios & Andronikidis, Andreas & Ntamadaki, Vasiliki, 2022. "Clonal selection algorithms for optimal product line design: A comparative study," European Journal of Operational Research, Elsevier, vol. 298(2), pages 585-595.
    36. Olivier Toubia & John Hauser & Rosanna Garcia, 2007. "Probabilistic Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis: Theory and Application," Marketing Science, INFORMS, vol. 26(5), pages 596-610, 09-10.
    37. Steven M. Shugan, 2004. "Endogeneity in Marketing Decision Models," Marketing Science, INFORMS, vol. 23(1), pages 1-3.
    38. Jong Seok Kim, 2017. "Empirical Analysis Of Consumer Willingness To Pay For Smart Phone Attributes In Multi-Countries," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-37, February.
    39. Arnaud De Bruyn & John C. Liechty & Eelko K. R. E. Huizingh & Gary L. Lilien, 2008. "Offering Online Recommendations with Minimum Customer Input Through Conjoint-Based Decision Aids," Marketing Science, INFORMS, vol. 27(3), pages 443-460, 05-06.
    40. Mingyu Joo & Michael L. Thompson & Greg M. Allenby6, 2019. "Optimal Product Design by Sequential Experiments in High Dimensions," Management Science, INFORMS, vol. 65(7), pages 3235-3254, July.
    41. John R. Hauser & Olivier Toubia, 2005. "The Impact of Utility Balance and Endogeneity in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(3), pages 498-507, August.
    42. Olivier Toubia & John R. Hauser, 2007. "—On Managerially Efficient Experimental Designs," Marketing Science, INFORMS, vol. 26(6), pages 851-858, 11-12.
    43. Steven M. Shugan, 2003. "Editorial: Journal Rankings: Save the Outlets for Your Research," Marketing Science, INFORMS, vol. 22(4), pages 437-441.
    44. Maxime C. Cohen & Ilan Lobel & Renato Paes Leme, 2020. "Feature-Based Dynamic Pricing," Management Science, INFORMS, vol. 66(11), pages 4921-4943, November.
    45. Hema Yoganarasimhan & Ebrahim Barzegary & Abhishek Pani, 2020. "Design and Evaluation of Personalized Free Trials," Papers 2006.13420, arXiv.org.
    46. Tsafarakis, Stelios & Zervoudakis, Konstantinos & Andronikidis, Andreas & Altsitsiadis, Efthymios, 2020. "Fuzzy self-tuning differential evolution for optimal product line design," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1161-1169.
    47. Daniel McFadden, 2014. "The new science of pleasure: consumer choice behavior and the measurement of well-being," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 2, pages 7-48, Edward Elgar Publishing.
    48. Theodoros Evgeniou & Massimiliano Pontil & Olivier Toubia, 2007. "A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation," Marketing Science, INFORMS, vol. 26(6), pages 805-818, 11-12.
    49. Robert Dunlea & Leslie Lenert, 2015. "Understanding Patients’ Preferences for Referrals to Specialists for an Asymptomatic Condition," Medical Decision Making, , vol. 35(6), pages 691-702, August.
    50. Michael Yee & Ely Dahan & John R. Hauser & James Orlin, 2007. "Greedoid-Based Noncompensatory Inference," Marketing Science, INFORMS, vol. 26(4), pages 532-549, 07-08.
    51. Olivier Toubia & Eric Johnson & Theodoros Evgeniou & Philippe Delquié, 2013. "Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters," Management Science, INFORMS, vol. 59(3), pages 613-640, June.
    52. Tan Wang & Genaro Gutierrez, 2022. "Robust Product Line Design by Protecting the Downside While Minding the Upside," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 194-217, January.
    53. Dominique Olié Lauga & Elie Ofek, 2009. "Market Research and Innovation Strategy in a Duopoly," Marketing Science, INFORMS, vol. 28(2), pages 373-396, 03-04.
    54. Dimitris Bertsimas & Velibor V. Mišić, 2019. "Exact First-Choice Product Line Optimization," Operations Research, INFORMS, vol. 67(3), pages 651-670, May.
    55. Díaz, Verónica & Montoya, Ricardo & Maldonado, Sebastián, 2023. "Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach," European Journal of Operational Research, Elsevier, vol. 304(2), pages 797-812.
    56. Steven M. Shugan, 2004. "The Impact of Advancing Technology on Marketing and Academic Research," Marketing Science, INFORMS, vol. 23(4), pages 469-475.
    57. John C. Liechty & Duncan K. H. Fong & Wayne S. DeSarbo, 2005. "Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(2), pages 285-293, November.
    58. Halme, Merja & Kallio, Markku, 2011. "Estimation methods for choice-based conjoint analysis of consumer preferences," European Journal of Operational Research, Elsevier, vol. 214(1), pages 160-167, October.
    59. Furrer, Olivier & Sudharshan, Devanathan & Tsiotsou, Rodoula H. & Liu, Ben S., 2016. "A framework for innovative service design," FSES Working Papers 476, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    60. Jeffrey D. Camm & James J. Cochran & David J. Curry & Sriram Kannan, 2006. "Conjoint Optimization: An Exact Branch-and-Bound Algorithm for the Share-of-Choice Problem," Management Science, INFORMS, vol. 52(3), pages 435-447, March.
    61. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.

  3. Hauser, John R. & Katz, Gerald M. & International Center for Research on the Management of Technology., 1998. "Metrics : you are what you measure!," Working papers 172-98, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Moses Nyakuwanika & Huibrecht Margaretha van der Poll & John Andrew van der Poll, 2021. "A Conceptual Framework for Greener Goldmining through Environmental Management Accounting Practices (EMAPs): The Case of Zimbabwe," Sustainability, MDPI, vol. 13(18), pages 1-26, September.
    2. Neil A. Morgan & Lopo Leotte Rego, 2006. "The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Business Performance," Marketing Science, INFORMS, vol. 25(5), pages 426-439, September.
    3. Alina Almã?an & Cristina Circa & Mãdãlina Dumitru & Raluca Gina Gu?e & Drago? Marian Mangiuc, 2019. "Effects of Integrated Reporting on Corporate Disclosure Practices regarding the Capitals and Performance," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(52), pages 572-572, August.
    4. VAN CAMP, Jelle & BRAET, Johan, 2013. "Proposing a taxonomy for performance measurement systems' failures," Working Papers 2013004, University of Antwerp, Faculty of Business and Economics.
    5. Giorgia Nigri & Mara Del Baldo, 2018. "Sustainability Reporting and Performance Measurement Systems: How do Small- and Medium-Sized Benefit Corporations Manage Integration?," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    6. Jan Mattsson & Helge Helmersson & Katarina Stetler, 2016. "Motivation Fatigue As A Threat To Innovation: Bypassing The Productivity Dilemma In R&D By Cyclic Production," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-23, February.
    7. Brooks, Mary R., 2006. "Chapter 25 Issues in Measuring Port Devolution Program Performance: A Managerial Perspective," Research in Transportation Economics, Elsevier, vol. 17(1), pages 599-629, January.
    8. Attilio Bruni, 2013. "Le metriche di marketing nel turismo. un?indagine esplorativa sui comportamenti manageriali delle imprese turistiche profit oriented," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2013(2), pages 105-129.
    9. Kaveh Asiaei & Nick Bontis & Omid Barani & Ruzita Jusoh, 2021. "Corporate social responsibility and sustainability performance measurement systems: implications for organizational performance," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 32(1), pages 85-126, March.
    10. Henner Gimpel & Dominikus Kleindienst & Daniela Waldmann, 2018. "The disclosure of private data: measuring the privacy paradox in digital services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 475-490, November.
    11. Cedergren, Stefan & Wall, Anders & Norström, Christer, 2010. "Evaluation of performance in a product development context," Business Horizons, Elsevier, vol. 53(4), pages 359-369, July.
    12. Bielecki, Andre & Albers, Sönke & Mantrala, Murali, 2012. "Salesperson Efficiency Benchmarking Using Sales Response Data: Who is Working Hard and Working Smart?," EconStor Preprints 57427, ZBW - Leibniz Information Centre for Economics.
    13. Berg, Pekka & Leinonen, Mikko & Leivo, Virpi & Pihlajamaa, Jussi, 2002. "Assessment of quality and maturity level of R&D," International Journal of Production Economics, Elsevier, vol. 78(1), pages 29-35, July.

  4. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1997. "Side payments in marketing," Working papers 161-97. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Yuetao Gao & Yue Wu, 2023. "Regulating Probabilistic Selling of Counterfeits," Management Science, INFORMS, vol. 69(8), pages 4498-4517, August.
    2. Duncan Simester & Juanjuan Zhang, 2010. "Why Are Bad Products So Hard to Kill?," Management Science, INFORMS, vol. 56(7), pages 1161-1179, July.
    3. Shubhranshu Singh, 2017. "Competition in Corruptible Markets," Marketing Science, INFORMS, vol. 36(3), pages 361-381, May.
    4. Matthias Kräkel & Anja Schöttner, 2020. "Delegating Pricing Authority to Sales Agents: The Impact of Kickbacks," Management Science, INFORMS, vol. 66(6), pages 2686-2705, June.
    5. Wernerfelt, Birger. & Simester, Duncan I. & Hauser, John R., 1997. "Influence transfers, performance, and performance ratings," Working papers 160-97. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. Leigh McAlister, 2007. "—Cross-Brand Pass-Through: Fact or Artifact?," Marketing Science, INFORMS, vol. 26(6), pages 876-898, 11-12.

  5. Hauser, John R. & Zettelmeyer, Florian., 1996. "Metrics to evaluate R,D&E," Working papers 156-96. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Iain Cockburn & Rebecca Henderson & Scott Stern, 1999. "Balancing Incentives: The Tension Between Basic and Applied Research," NBER Working Papers 6882, National Bureau of Economic Research, Inc.
    2. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1995. "Internal customers and internal suppliers," Working papers 3759-95. WP (Internationa, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Hauser, John R. & Zettelmeyer, Florian., 1996. "Evaluating and managing the tiers of R&D," Working papers #145-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Ely Dahan & Haim Mendelson, 2001. "An Extreme-Value Model of Concept Testing," Management Science, INFORMS, vol. 47(1), pages 102-116, January.

  6. Hauser, John R. & Zettelmeyer, Florian., 1996. "Evaluating and managing the tiers of R&D," Working papers #145-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Jap, Sandy D., 1998. "'Pie-division' in interorganizational collaboration," Working papers 178-98. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Hauser, John R., 1996. "The role of mathematical models in the study of product development," Working papers #148-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Hauser, John R. & Zettelmeyer, Florian., 1996. "Metrics to evaluate R,D&E," Working papers 156-96. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.

  7. Simester, Duncan I. & Wernerfelt, Birger. & Hauser, John R., 1995. "Overcoming collusion : using a supervisor to costlessly resolve moral hazard," Working papers #117-95. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1995. "Internal customers and internal suppliers," Working papers 3759-95. WP (Internationa, Massachusetts Institute of Technology (MIT), Sloan School of Management.

  8. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1995. "Internal customers and internal suppliers," Working papers 3759-95. WP (Internationa, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1997. "Side Payments in Marketing," Marketing Science, INFORMS, vol. 16(3), pages 246-255.
      • Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1997. "Side payments in marketing," Working papers 161-97. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Hauser, John R., 1996. "Gainsharing issues in marketing," Working papers #142-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.

  9. Urban, Glen L. & Weinberg, Bruce D. & Hauser, John R., 1994. "Premarket forecasting of really new products," Working papers 3689-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Urban, Glen L. & Sultan, Fareena. & Qualls, William J. 1953-, 1998. "Trust based marketing on the internet," Working papers WP 4035-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Lettl, Christoph & Herstatt, Cornelius & Gemuenden, H-G., 2004. "Learning from users for radical innovation," Working Papers 27, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    3. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Mangement Sciences in Research on Personalization," Review of Marketing Science Working Papers 2-2-1025, Berkeley Electronic Press.
    4. Herstatt, Cornelius & Lettl, Christopher, 2000. "Management of "technology push" development projects," Working Papers 5e, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    5. Herstatt, Cornelius & Lettl, Christopher, 2000. "Management von technologie-getriebenen Entwicklungsprojekten," Working Papers 5, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    6. Claudio Giachetti & Gianluca Marchi & Riccardo Corradini, 2012. "UsersÕ ability to anticipate incremental and radical innovation in online communities: The role of product knowledge and willingness to participate in the community life," Working Papers 15, Department of Management, Università Ca' Foscari Venezia.
    7. Mennecke, Brian E. & Townsend, Anthony M. & Hayes, Dermot J. & Lonergan, Steven M., 2007. "A study of the factors that influence consumer attitudes toward beef products using the conjoint market analysis tool," ISU General Staff Papers 200710010700001003, Iowa State University, Department of Economics.
    8. Christina Guenther, 2009. "Pioneer burnout: Radical product innovation and firm capabilities," Papers on Economics and Evolution 2009-22, Philipps University Marburg, Department of Geography.
    9. Lettl, Christopher & Herstatt, Cornelius, 2004. "Users as inventors and developers of radical innovation: An explorative case study analysis in the field of medical technology," Working Papers 22, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    10. Herstatt, Cornelius & Verworn, Birgit, 2001. "The "fuzzy front end" of innovation," Working Papers 4, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    11. Morrison, Pamela D. & Roberts, John H., 1998. "Matching Electronic Distribution Channels to Product Characteristics: The Role of Congruence in Consideration Set Formation," Journal of Business Research, Elsevier, vol. 41(3), pages 223-229, March.

  10. Griffin, Abbie. & Hauser, John R. & Griffin, Abbie, 1994. "Integrating R&D and marketing : a review and analysis of the literature," Working papers #112-94. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Cooper, Marjorie J. & Gwin, Carol F. & Wakefield, Kirk L., 2008. "Cross-functional interface and disruption in CRM projects: Is marketing from Venus and information systems from Mars?," Journal of Business Research, Elsevier, vol. 61(4), pages 292-299, April.
    2. Thomas Gillier & Gérald Piat, 2011. "Exploring over the Presumed Identity of Emerging Technology," Grenoble Ecole de Management (Post-Print) hal-00641765, HAL.
    3. Lichtenthaler, Ulrich, 2008. "Externally commercializing technology assets: An examination of different process stages," Journal of Business Venturing, Elsevier, vol. 23(4), pages 445-464, July.
    4. Hausman, Warren H. & Montgomery, David B. & Roth, Aleda V., 2000. "Exploring the Impact of Marketing and Manufacturing Strategies, Conflict, and Morale on Business Performance," Research Papers 1620, Stanford University, Graduate School of Business.
    5. Chimhanzi, Jacqueline & Morgan, Robert E., 2005. "Explanations from the marketing/human resources dyad for marketing strategy implementation effectiveness in service firms," Journal of Business Research, Elsevier, vol. 58(6), pages 787-796, June.
    6. Rehme, Sarina & Rennhak, Carsten, 2011. "Marketing and sales: Successful peacekeeping," Reutlingen Working Papers on Marketing & Management 2011-11, Reutlingen University, ESB Business School.
    7. Fosfuri, Andrea & Rønde, Thomas, 2009. "Leveraging resistance to change and the skunk works model of innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 274-289, October.
    8. Clercq, Dirk De & Menguc, Bulent & Auh, Seigyoung, 2009. "Unpacking the relationship between an innovation strategy and firm performance: The role of task conflict and political activity," Journal of Business Research, Elsevier, vol. 62(11), pages 1046-1053, November.
    9. Montgomery, David B. & Roth, Aleda V. & Hausmann, Warren H., 2001. "Why Should Marketing and Manufacturing Work Together? Some Exploratory Empirical," Research Papers 1706, Stanford University, Graduate School of Business.
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    4. Shuo-Fang Liu & Yu-Shan Wei & Hong-Kai Guo & An-Yu Su, 2023. "An Application of Quality Function Deployment to Explore a Product Design Concept—A Case Study of a Triple-Effect Green Energy Generator for the Taiwan Environment," Sustainability, MDPI, vol. 15(24), pages 1-16, December.
    5. Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Universal Model to Predict Expected Direction of Products Quality Improvement," Energies, MDPI, vol. 15(5), pages 1-18, February.
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    7. Ocampo, Lanndon & Alinsub, Jovir & Casul, Ruselle Anne & Enquig, Germellie & Luar, Mitzi & Panuncillon, Noche & Bongo, Miriam & Ocampo, Christine Omela, 2019. "Public service quality evaluation with SERVQUAL and AHP-TOPSIS: A case of Philippine government agencies," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
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    Cited by:

    1. Ulrike Schuster & J?rgen W?ckl, 2005. "Optimal Defensive Strategies under Varying Consumer Distributional Patterns and Market Maturity," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 1(2), pages 187-206, July.
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    Cited by:

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    Cited by:

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    2. Joost M.E. Pennings & Raymond M. Leuthold, 1999. "Commodity Futures Contract Viability: A Multidisciplinary Approach," Finance 9905002, University Library of Munich, Germany.

  17. Hauser, John R. & Urban, Glen L., 1982. "Prelaunch forecasting of new consumer durables : ideas on a consumer value - priority model," Working papers 1270-82., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. John R. Hauser & Steven M. Shugan, 2008. "Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 88-110, 01-02.
    2. Hauser, John R. & Urban, Glen L., 1985. "The value priority hypotheses for purchases of consumer durable goods," Working papers 1637-85., Massachusetts Institute of Technology (MIT), Sloan School of Management.

  18. Hauser, John R. & Wisniewski, Kenneth J., 1981. "Application, predictive test, and strategy implications for a dynamic model of consumer response to marketing," Working papers 1244-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Urban, Glen L. & Weinberg, Bruce D. & Hauser, John R., 1994. "Premarket forecasting of really new products," Working papers 3689-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.

  19. Hauser, John R. & Shugan, Steven., 1981. "Defensive marketing stategies," Working papers 1243-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.

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    4. Ulrike Schuster & J?rgen W?ckl, 2005. "Optimal Defensive Strategies under Varying Consumer Distributional Patterns and Market Maturity," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 1(2), pages 187-206, July.
    5. Ganesh Iyer & David Soberman, 2000. "Markets for Product Modification Information," Marketing Science, INFORMS, vol. 19(3), pages 203-225, February.
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    10. Ashish Sinha & Anna Sahgal & Sharat K. Mathur, 2013. "Practice Prize Paper ---Category Optimizer: A Dynamic-Assortment, New-Product-Introduction, Mix-Optimization, and Demand-Planning System," Marketing Science, INFORMS, vol. 32(2), pages 221-228, March.
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    30. Yan Lu & Debanjan Mitra & David Musto & Sugata Ray, 2020. "Can Brands Circumvent Marketing Regulations? Exploiting Umbrella Branding in Financial Markets," Marketing Science, INFORMS, vol. 39(1), pages 71-91, January.
    31. Byung Cheol Lee & Christine Moorman & C. Page Moreau & Andrew T. Stephen & Donald R. Lehmann, 2020. "The past, present, and future of innovation research," Marketing Letters, Springer, vol. 31(2), pages 187-198, September.
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    52. Martín-Herrán, Guiomar & McQuitty, Shaun & Sigué, Simon Pierre, 2012. "Offensive versus defensive marketing: What is the optimal spending allocation?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 210-219.
    53. Zhang, Jun & Guo, Ruey-Shan, 2016. "The D-Day, V-Day, and bleak days of a disruptive technology: A new model for ex-ante evaluation of the timing of technology disruptionAuthor-Name: Chen, Chialin," European Journal of Operational Research, Elsevier, vol. 251(2), pages 562-574.
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    55. Noriaki Matsushima & Tomomichi Mizuno, 2009. "Input specificity and product differentiation," ISER Discussion Paper 0745, Institute of Social and Economic Research, Osaka University.
    56. Yuanfang Lin & Sandeep Krishnamurthy, 2017. "Generic and Brand Advertising Strategies Under Inter-Industry Competition," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 4(1), pages 18-27, September.
    57. Zenan Zhou & Xiang Wan, 2022. "Does the Sharing Economy Technology Disrupt Incumbents? Exploring the Influences of Mobile Digital Freight Matching Platforms on Road Freight Logistics Firms," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 117-137, January.
    58. Nicholas Economides & Joel Steckel, "undated". "The Max-Min Principle of Product Differentiation," Networks, Compatibility 94-16, Economics of Networks.
    59. Xianjin Du & Meng Li & Brian Wu, 2019. "Incumbent repositioning with decision biases," Strategic Management Journal, Wiley Blackwell, vol. 40(12), pages 1984-2010, December.
    60. Yuanfang Lin & Amit Pazgal, 2021. "Taking marketing strategy risks with seemingly no expected gains," Marketing Letters, Springer, vol. 32(4), pages 363-377, December.
    61. John R. Hauser & Steven M. Shugan, 2008. "Commentary—Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 85-87, 01-02.
    62. Niladri B. Syam & Nanda Kumar, 2006. "On Customized Goods, Standard Goods, and Competition," Marketing Science, INFORMS, vol. 25(5), pages 525-537, September.
    63. Raphael Thomadsen, 2007. "Product Positioning and Competition: The Role of Location in the Fast Food Industry," Marketing Science, INFORMS, vol. 26(6), pages 792-804, 11-12.
    64. Suman Basuroy & Dung Nguyen, 1998. "Multinomial Logit Market Share Models: Equilibrium Characteristics and Strategic Implications," Management Science, INFORMS, vol. 44(10), pages 1396-1408, October.
    65. Vishal Singh & Ting Zhu, 2008. "Pricing and Market Concentration in Oligopoly Markets," Marketing Science, INFORMS, vol. 27(6), pages 1020-1035, 11-12.
    66. Chang, Shih-Chia & Yang, Chen-Lung & Cheng, Hsin-Chia & Sheu, Chwen, 2003. "Manufacturing flexibility and business strategy: An empirical study of small and medium sized firms," International Journal of Production Economics, Elsevier, vol. 83(1), pages 13-26, January.
    67. Mark Simon & Susan M. Houghton, 2002. "The Relationship among Biases, Misperceptions, and the Introduction of Pioneering Products: Examining Differences in Venture Decision Contexts," Entrepreneurship Theory and Practice, , vol. 27(2), pages 105-124, April.
    68. Neil A. Morgan & Kimberly A. Whitler & Hui Feng & Simos Chari, 2019. "Research in marketing strategy," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 4-29, January.
    69. Ó González-Benito & M P Martínez-Ruiz & A Molla-Descals, 2009. "Spatial mapping of price competition using logit-type market share models and store-level scanner-data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 52-62, January.
    70. Ravi Kumar, K. & Hadjinicola, George C., 1996. "Resource allocation to defensive marketing and manufacturing strategies," European Journal of Operational Research, Elsevier, vol. 94(3), pages 453-466, November.
    71. Riemer, Hila & Mallik, Suman & Sudharshan, Devanathan, 2002. "Market Shares Follow the Zipf Distribution," Working Papers 02-0125, University of Illinois at Urbana-Champaign, College of Business.
    72. Dmitri Kuksov & Yuanfang Lin, 2017. "Signaling Low Margin Through Assortment," Management Science, INFORMS, vol. 63(4), pages 1166-1183, April.
    73. Dmitri Kuksov & Yuanfang Lin, 2010. "Information Provision in a Vertically Differentiated Competitive Marketplace," Marketing Science, INFORMS, vol. 29(1), pages 122-138, 01-02.
    74. Wayne DeSarbo & Kamel Jedidi & Joel Steckel, 1991. "A stochastic multidimensional scaling procedure for the empirical determination of convex indifference curves for preference/choice analysis," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 279-307, June.
    75. Elie Ofek & V. Srinivasan, 2002. "How Much Does the Market Value an Improvement in a Product Attribute?," Marketing Science, INFORMS, vol. 21(4), pages 398-411, June.
    76. Adithya Pattabhiramaiah & S. Sriram & Shrihari Sridhar, 2018. "Rising Prices Under Declining Preferences: The Case of the U.S. Print Newspaper Industry," Marketing Science, INFORMS, vol. 37(1), pages 97-122, January.
    77. Rust, Roland T. & Metters, Richard, 1996. "Mathematical models of service," European Journal of Operational Research, Elsevier, vol. 91(3), pages 427-439, June.
    78. Sridhar Balasubramanian & Shantanu Bhattacharya & Vish V. Krishnan, 2015. "Pricing Information Goods: A Strategic Analysis of the Selling and Pay-per-Use Mechanisms," Marketing Science, INFORMS, vol. 34(2), pages 218-234, March.
    79. Oghojafor Ben Akpoyomare & Ladipo Patrick Kunle Adeosun & Rahim Ajao Ganiyu, 2013. "Approaches for Generating and Evaluating Product Positioning Strategy," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 4(1), pages 46-52, January.
    80. Sherif Nasser & Danko Turcic & Chakravarthi Narasimhan, 2013. "National Brand's Response to Store Brands: Throw In the Towel or Fight Back?," Marketing Science, INFORMS, vol. 32(4), pages 591-608, July.
    81. Yogesh V. Joshi & David J. Reibstein & Z. John Zhang, 2016. "Turf Wars: Product Line Strategies in Competitive Markets," Marketing Science, INFORMS, vol. 35(1), pages 128-141, January.
    82. John D. C. Little, 2004. "Comments on ÜModels and Managers: The Concept of a Decision CalculusÝ," Management Science, INFORMS, vol. 50(12_supple), pages 1854-1860, December.
    83. Chia-Lin LEE & Reinhold DECKER, 2009. "Modeling The Effect Of Belief Revisions On The Success Of Co-Branding," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_ Sum).
    84. Niladri Syam & Partha Krishnamurthy & James D. Hess, 2008. "What I Thought I Wanted? Miswanting and Regret for a Standard Good in a Mass-Customized World," Marketing Science, INFORMS, vol. 27(3), pages 379-397, 05-06.
    85. J. Miguel Villas-Boas, 2018. "A Dynamic Model of Repositioning," Marketing Science, INFORMS, vol. 37(2), pages 279-293, March.
    86. Christine Chou & Steven O. Kimbrough, 2016. "An agent-based model of organizational ambidexterity decisions and strategies in new product development," Computational and Mathematical Organization Theory, Springer, vol. 22(1), pages 4-46, March.
    87. Zheyin (Jane) Gu & Ying Xie, 2013. "Facilitating Fit Revelation in the Competitive Market," Management Science, INFORMS, vol. 59(5), pages 1196-1212, May.
    88. Mansour Lotayif, 2015. "Selection Factors of Market Segments and Porter’s Generic Marketing Strategies: Evidence from an Emerging GCC Market," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(1), pages 199-199, December.

  20. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Vassiliadis, Chris A. & Siomkos, George J. & Vassilikopoulou, Aikaterini & Mylonakis, John, 2005. "Product Design Decisions for Developing New Tourist destinations: The Case of Rhodopi Mountains," MPRA Paper 25404, University Library of Munich, Germany, revised 22 Jan 2006.
    2. Nicole Wiebach & Lutz Hildebrandt, 2010. "Context Effects as Customer Reaction on Delisting of Brands," SFB 649 Discussion Papers SFB649DP2010-056, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

  21. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    3. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

  22. John R. Hauser & Steven M. Shugan, 1977. "Efficient Measurement of Consumer Preference Functions: A General Theory for Intensity of Preference," Discussion Papers 285, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Leonard Greenhalg & Scott A. Neslin, 1981. "Conjoint Analysis of Negotiator Preferences," Journal of Conflict Resolution, Peace Science Society (International), vol. 25(2), pages 301-327, June.

  23. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Yasemin Bal Gunduz, 2009. "Estimating Demand for IMF Financing by Low-Income Countries in Response to Shocks," IMF Working Papers 2009/263, International Monetary Fund.
    2. Veall, M. & Zimmermann, K., 1990. "Evaluating Pseudo-R2's for Binary Probit Models," Other publications TiSEM d425a232-37e3-4e5b-910e-c, Tilburg University, School of Economics and Management.
    3. Tony Dignan & Kingsley E. Haynes & Dennis Conway & Nanda R. Shrestha, 1989. "Land and Landlessness among Rural-to-Rural Migrants in Nepal's Terai Region," International Regional Science Review, , vol. 12(2), pages 189-209, August.
    4. De Pinto, Alessandro & Nelson, Gerald C., 2006. "Assessing the Robustness of Predictions in Spatially Explicit Models of Land Use," 2006 Annual meeting, July 23-26, Long Beach, CA 21307, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Joseph Pancras, 2010. "A Framework to Determine the Value of Consumer Consideration Set Information for Firm Pricing Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 269-300, March.
    6. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    7. Hauser, John R., 1981. "Consumer analysis to evaluate R&D projects," Working papers 1245-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    8. Xing, Yan & Handy, Susan L. & Mokhtarian, Patricia L., 2010. "Factors Associated with Proportions and Miles of Bicycling for Transportation and Recreation in Six Small U.S. Cities," Institute of Transportation Studies, Working Paper Series qt74n4j1p0, Institute of Transportation Studies, UC Davis.
    9. Wayne DeSarbo & Donald Lehmann & Gregory Carpenter & Indrajit Sinha, 1996. "A stochastic multidimensional unfolding approach for representing phased decision outcomes," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 485-508, September.
    10. Gurumurthy, K. & Little, John D. C. & University of Texas at Dallas. Marketing Center., 2003. "A price response model developed from perceptual theories," Working papers 89-5, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    11. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    12. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
    13. Narwa, Daniel, 2001. "How general should the proximity model be?," European Journal of Political Economy, Elsevier, vol. 17(1), pages 53-74, March.
    14. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    15. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    16. Agarwal, Rajshree & Bayus, Barry L., 2002. "The Market Evolution and Sales Take-Off of Product Innovations," Working Papers 02-0104, University of Illinois at Urbana-Champaign, College of Business.
    17. Mokhtarian, Patricia L. & Bagley, Michael N., 2000. "Modeling employees' perceptions and proportional preferences of work locations: the regular workplace and telecommuting alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 223-242, May.
    18. Colin Cameron, A. & Windmeijer, Frank A. G., 1997. "An R-squared measure of goodness of fit for some common nonlinear regression models," Journal of Econometrics, Elsevier, vol. 77(2), pages 329-342, April.

  24. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Hauser, John R. & Koppelman, Frank S., 1977. "Designing Transportation Services: A Marketing Apporach," Transportation Research Forum Proceedings 1970s 318674, Transportation Research Forum.
    2. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    3. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

  25. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    2. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    3. Ana Oliveira-Brochado & Francisco Vitorino Martins, 2008. "Aspectos Metodológicos da Segmentação de Mercado: Base de Segmentação e Métodos de Classificação," FEP Working Papers 261, Universidade do Porto, Faculdade de Economia do Porto.
    4. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    6. Urban, Glen L. & Neslin, Scott A., 1976. "The design and marketing of new educational programs," Working papers 873-76., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    7. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    8. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    9. Silk, Alvin J. & Urban, Glen L., 1976. "Pre-test market evaluation of new packaged goods : a model and measurement methodology," Working papers 834-76., Massachusetts Institute of Technology (MIT), Sloan School of Management.

Articles

  1. John R. Hauser & Glen L. Urban & Guilherme Liberali & Michael Braun, 2009. "—Response to Comments on “Website Morphing”," Marketing Science, INFORMS, vol. 28(2), pages 227-228, 03-04.

    Cited by:

    1. Oberoi, Poonam & Patel, Chirag & Haon, Christophe, 2017. "Technology sourcing for website personalization and social media marketing: A study of e-retailing industry," Journal of Business Research, Elsevier, vol. 80(C), pages 10-23.
    2. John Gittins, 2009. "—Discussion on “Website Morphing” by Hauser, Urban, Liberali, and Braun," Marketing Science, INFORMS, vol. 28(2), pages 225-225, 03-04.
    3. Andrew Gelman, 2009. "—Discussion of the Article “Website Morphing”," Marketing Science, INFORMS, vol. 28(2), pages 226-226, 03-04.

  2. John R. Hauser & Glen L. Urban & Guilherme Liberali & Michael Braun, 2009. "Website Morphing," Marketing Science, INFORMS, vol. 28(2), pages 202-223, 03-04.

    Cited by:

    1. Oberoi, Poonam & Patel, Chirag & Haon, Christophe, 2017. "Technology sourcing for website personalization and social media marketing: A study of e-retailing industry," Journal of Business Research, Elsevier, vol. 80(C), pages 10-23.
    2. Eric Johnson & Suzanne Shu & Benedict Dellaert & Craig Fox & Daniel Goldstein & Gerald Häubl & Richard Larrick & John Payne & Ellen Peters & David Schkade & Brian Wansink & Elke Weber, 2012. "Beyond nudges: Tools of a choice architecture," Marketing Letters, Springer, vol. 23(2), pages 487-504, June.
    3. John Gittins, 2009. "—Discussion on “Website Morphing” by Hauser, Urban, Liberali, and Braun," Marketing Science, INFORMS, vol. 28(2), pages 225-225, 03-04.
    4. Andrew Gelman, 2009. "—Discussion of the Article “Website Morphing”," Marketing Science, INFORMS, vol. 28(2), pages 226-226, 03-04.

  3. John R. Hauser & Steven M. Shugan, 2008. "Commentary—Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 85-87, 01-02.

    Cited by:

    1. Yanjie Wu & Sujuan Wang, 2021. "Sustainable Market Entry Strategy under a Supply Chain Environment," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
    2. Yan Lu & Debanjan Mitra & David Musto & Sugata Ray, 2020. "Can Brands Circumvent Marketing Regulations? Exploiting Umbrella Branding in Financial Markets," Marketing Science, INFORMS, vol. 39(1), pages 71-91, January.
    3. Martín-Herrán, Guiomar & McQuitty, Shaun & Sigué, Simon Pierre, 2012. "Offensive versus defensive marketing: What is the optimal spending allocation?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 210-219.
    4. Xianjin Du & Meng Li & Brian Wu, 2019. "Incumbent repositioning with decision biases," Strategic Management Journal, Wiley Blackwell, vol. 40(12), pages 1984-2010, December.
    5. Neil A. Morgan & Kimberly A. Whitler & Hui Feng & Simos Chari, 2019. "Research in marketing strategy," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 4-29, January.

  4. Michael Yee & Ely Dahan & John R. Hauser & James Orlin, 2007. "Greedoid-Based Noncompensatory Inference," Marketing Science, INFORMS, vol. 26(4), pages 532-549, 07-08.

    Cited by:

    1. Petri, Henrik & Voorneveld, Mark, 2016. "Characterizing lexicographic preferences," Journal of Mathematical Economics, Elsevier, vol. 63(C), pages 54-61.
    2. Zhenghui Sha & Yun Huang & Jiawei Sophia Fu & Mingxian Wang & Yan Fu & Noshir Contractor & Wei Chen, 2018. "A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations," Complexity, Hindawi, vol. 2018, pages 1-14, January.
    3. Carson, Richard T. & Louviere, Jordan J., 2014. "Statistical properties of consideration sets," Journal of choice modelling, Elsevier, vol. 13(C), pages 37-48.
    4. Mridu Prabal Goswami & Manipushpak Mitra & Debapriya Sen, 2022. "A Characterization of Lexicographic Preferences," Decision Analysis, INFORMS, vol. 19(2), pages 170-187, June.
    5. Anderson, Simon & Renault, Régis, 2012. "The advertising mix for a search good," CEPR Discussion Papers 8756, C.E.P.R. Discussion Papers.
    6. Brighton, Henry & Gigerenzer, Gerd, 2015. "The bias bias," Journal of Business Research, Elsevier, vol. 68(8), pages 1772-1784.
    7. Neeraj Arora & Ty Henderson & Qing Liu, 2011. "Noncompensatory Dyadic Choices," Marketing Science, INFORMS, vol. 30(6), pages 1028-1047, November.
    8. Nicolas Houy, 2011. "Common characterizations of the untrapped set and the top cycle," Theory and Decision, Springer, vol. 70(4), pages 501-509, April.
    9. Bernhard Weiss & Uwe Dulleck & Franz Hackl & Rudolf Winter-Ebmer, 2008. "Buying Online: Sequential Decision Making by Shopbot Visitors," Economics working papers 2008-10, Department of Economics, Johannes Kepler University Linz, Austria.
    10. Krecik, Markus, 2024. "A needs-based framework for approximating decisions and well-being," Discussion Papers 2024/2, Free University Berlin, School of Business & Economics.
    11. Michael Mandler & Paola Manzini & Marco Mariotti, 2008. "A Million Answers to Twenty Questions: Choosing by Checklist," Working Papers 622, Queen Mary University of London, School of Economics and Finance.
    12. Berg, Nathan, 2014. "Success from satisficing and imitation: Entrepreneurs' location choice and implications of heuristics for local economic development," Journal of Business Research, Elsevier, vol. 67(8), pages 1700-1709.
    13. Nathan Berg & Gerd Gigerenzer, 2010. "As-if behavioral economics: neoclassical economics in disguise?," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(1), pages 133-166.
    14. Rajeev Kohli & Khaled Boughanmi & Vikram Kohli, 2019. "Randomized Algorithms for Lexicographic Inference," Operations Research, INFORMS, vol. 67(2), pages 357-375, March.
    15. Parag A. Pathak & Peng Shi, 2017. "How Well Do Structural Demand Models Work? Counterfactual Predictions in School Choice," NBER Working Papers 24017, National Bureau of Economic Research, Inc.
    16. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
    17. Schlereth, Christian & Eckert, Christine & Schaaf, René & Skiera, Bernd, 2014. "Measurement of preferences with self-explicated approaches: A classification and merge of trade-off- and non-trade-off-based evaluation types," European Journal of Operational Research, Elsevier, vol. 238(1), pages 185-198.
    18. Paola Manzini & Marco Mariotti, 2006. "Consumer Choice and Revealed Bounded Rationality," Working Papers 571, Queen Mary University of London, School of Economics and Finance.
    19. Jeffrey E. Harris & Mariana Gerstenblüth & Patricia Triunfo, 2018. "Smokers’ Rational Lexicographic Preferences for Cigarette Package Warnings: A Discrete Choice Experiment with Eye Tracking," Documentos de Trabajo (working papers) 0218, Department of Economics - dECON.
    20. Pere Mir-Artigues, 2022. "Combining preferences and heuristics in analysing consumer behaviour," Evolutionary and Institutional Economics Review, Springer, vol. 19(2), pages 523-543, September.
    21. Volker Kuppelwieser & Fouad Ben Abdelaziz & Olfa Meddeb, 2020. "Unstable interactions in customers’ decision making: an experimental proof," Annals of Operations Research, Springer, vol. 294(1), pages 479-499, November.
    22. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    23. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    24. Karniouchina, Ekaterina V. & Moore, William L. & van der Rhee, Bo & Verma, Rohit, 2009. "Issues in the use of ratings-based versus choice-based conjoint analysis in operations management research," European Journal of Operational Research, Elsevier, vol. 197(1), pages 340-348, August.
    25. Kim, Youngju & Hardt, Nino & Kim, Jaehwan & Allenby, Greg M., 2022. "Conjunctive screening in models of multiple discreteness," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1209-1234.
    26. Daria Dzyabura & John R. Hauser, 2011. "Active Machine Learning for Consideration Heuristics," Marketing Science, INFORMS, vol. 30(5), pages 801-819, September.
    27. Jella Pfeiffer & Michael Scholz, 2013. "A Low-Effort Recommendation System with High Accuracy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 397-408, December.
    28. Anocha Aribarg & Thomas Otter & Daniel Zantedeschi & Greg M. Allenby & Taylor Bentley & David J. Curry & Marc Dotson & Ty Henderson & Elisabeth Honka & Rajeev Kohli & Kamel Jedidi & Stephan Seiler & X, 2018. "Advancing Non-compensatory Choice Models in Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 82-92, March.
    29. Dimitris Bertsimas & Velibor V. Mišić, 2019. "Exact First-Choice Product Line Optimization," Operations Research, INFORMS, vol. 67(3), pages 651-670, May.
    30. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.
    31. Bremer, Lucas & Heitmann, Mark & Schreiner, Thomas F., 2017. "When and how to infer heuristic consideration set rules of consumers," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 516-535.

  5. Garcia, Rosanna & Rummel, Paul & Hauser, John, 2007. "Validating agent-based marketing models through conjoint analysis," Journal of Business Research, Elsevier, vol. 60(8), pages 848-857, August.

    Cited by:

    1. Ngo-Hoang, Dai-Long, 2019. "A research paper of Hossein Sabzian (2019), Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners, ArXiv, 54p," AgriXiv xutyz, Center for Open Science.
    2. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    3. Mann, S. & Reissig, L. & Ferjani, A. & Ayala, T., 2011. "Worauf kommt es Schweizer Konsumenten von Biowein an?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    4. Enrico Cozzoni & Carmine Passavanti & Cristina Ponsiglione & Simonetta Primario & Pierluigi Rippa, 2021. "Interorganizational Collaboration in Innovation Networks: An Agent Based Model for Responsible Research and Innovation in Additive Manufacturing," Sustainability, MDPI, vol. 13(13), pages 1-17, July.
    5. Ronny Baierl, 2018. "Understanding Entrepreneurial Team Decisions: Measuring Team Members’ Influences With The Metricized Limit Conjoint Analysis," SAGE Open, , vol. 8(2), pages 21582440187, May.
    6. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    7. Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
    8. Steven D’Alessandro & Lester Johnson & David Gray & Leanne Carter, 2015. "Consumer satisfaction versus churn in the case of upgrades of 3G to 4G cell networks," Marketing Letters, Springer, vol. 26(4), pages 489-500, December.
    9. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.
    10. Shim Jaehu & Bliemel Martin, 2018. "Ignition of New Product Diffusion in Entrepreneurship: An Agent-Based Approach," Entrepreneurship Research Journal, De Gruyter, vol. 8(2), pages 1-17, March.
    11. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.
    12. Herbert Dawid & Reinhold Decker & Thomas Hermann & Hermann Jahnke & Wilhelm Klat & Rolf König & Christian Stummer, 2017. "Management science in the era of smart consumer products: challenges and research perspectives," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 203-230, March.
    13. Schubring, Sandra & Lorscheid, Iris & Meyer, Matthias & Ringle, Christian M., 2016. "The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation," Journal of Business Research, Elsevier, vol. 69(10), pages 4604-4612.
    14. Stummer, Christian & Kiesling, Elmar & Günther, Markus & Vetschera, Rudolf, 2015. "Innovation diffusion of repeat purchase products in a competitive market: An agent-based simulation approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 157-167.
    15. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    16. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.

  6. Olivier Toubia & John R. Hauser, 2007. "—On Managerially Efficient Experimental Designs," Marketing Science, INFORMS, vol. 26(6), pages 851-858, 11-12.

    Cited by:

    1. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    2. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    3. Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
    4. Qing Liu & Yihui (Elina) Tang, 2015. "Construction of Heterogeneous Conjoint Choice Designs: A New Approach," Marketing Science, INFORMS, vol. 34(3), pages 346-366, May.
    5. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    6. Daria Dzyabura & John R. Hauser, 2011. "Active Machine Learning for Consideration Heuristics," Marketing Science, INFORMS, vol. 30(5), pages 801-819, September.
    7. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    8. Dominique Olié Lauga & Elie Ofek, 2009. "Market Research and Innovation Strategy in a Duopoly," Marketing Science, INFORMS, vol. 28(2), pages 373-396, 03-04.

  7. Olivier Toubia & John Hauser & Rosanna Garcia, 2007. "Probabilistic Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis: Theory and Application," Marketing Science, INFORMS, vol. 26(5), pages 596-610, 09-10.

    Cited by:

    1. Julio López & Sebastián Maldonado & Ricardo Montoya, 2017. "Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1323-1334, November.
    2. Tammo Bijmolt & Michel Velden, 2012. "Multiattribute perceptual mapping with idiosyncratic brand and attribute sets," Marketing Letters, Springer, vol. 23(3), pages 585-601, September.
    3. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    4. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    5. Dimitris Bertsimas & Allison O'Hair, 2013. "Learning Preferences Under Noise and Loss Aversion: An Optimization Approach," Operations Research, INFORMS, vol. 61(5), pages 1190-1199, October.
    6. Eggers, Felix & Sattler, Henrik, 2009. "Hybrid individualized two-level choice-based conjoint (HIT-CBC): A new method for measuring preference structures with many attribute levels," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 108-118.
    7. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
    8. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
    9. Qing Liu & Yihui (Elina) Tang, 2015. "Construction of Heterogeneous Conjoint Choice Designs: A New Approach," Marketing Science, INFORMS, vol. 34(3), pages 346-366, May.
    10. Vishva Danthurebandara & Jie Yu & Martina Vandebroek, 2015. "Designing choice experiments by optimizing the complexity level to individual abilities," Quantitative Marketing and Economics (QME), Springer, vol. 13(1), pages 1-26, March.
    11. Maldonado, Sebastián & Montoya, Ricardo & Weber, Richard, 2015. "Advanced conjoint analysis using feature selection via support vector machines," European Journal of Operational Research, Elsevier, vol. 241(2), pages 564-574.
    12. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    13. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    14. Mingyu Joo & Michael L. Thompson & Greg M. Allenby6, 2019. "Optimal Product Design by Sequential Experiments in High Dimensions," Management Science, INFORMS, vol. 65(7), pages 3235-3254, July.
    15. Maxime C. Cohen & Ilan Lobel & Renato Paes Leme, 2020. "Feature-Based Dynamic Pricing," Management Science, INFORMS, vol. 66(11), pages 4921-4943, November.
    16. Daria Dzyabura & John R. Hauser, 2011. "Active Machine Learning for Consideration Heuristics," Marketing Science, INFORMS, vol. 30(5), pages 801-819, September.
    17. Steven M. Shugan, 2009. "—Relevancy Is Robust Prediction, Not Alleged Realism," Marketing Science, INFORMS, vol. 28(5), pages 991-998, 09-10.
    18. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    19. Olivier Toubia & Eric Johnson & Theodoros Evgeniou & Philippe Delquié, 2013. "Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters," Management Science, INFORMS, vol. 59(3), pages 613-640, June.
    20. Junpei Komiyama & Shunya Noda, 2021. "Deviation-Based Learning: Training Recommender Systems Using Informed User Choice," Papers 2109.09816, arXiv.org, revised Aug 2022.
    21. Denis Sauré & Juan Pablo Vielma, 2019. "Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis," Operations Research, INFORMS, vol. 67(2), pages 315-338, March.
    22. Steven M. Shugan & Jihwan Moon & JQiaoni Shi & Nanda S. Kumar, 2017. "Product Line Bundling: Why Airlines Bundle High-End While Hotels Bundle Low-End," Marketing Science, INFORMS, vol. 36(1), pages 124-139, January.

  8. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.

    Cited by:

    1. Christine Moorman & Simone Wies & Natalie Mizik & Fredrika J. Spencer, 2012. "Firm Innovation and the Ratchet Effect Among Consumer Packaged Goods Firms," Marketing Science, INFORMS, vol. 31(6), pages 934-951, November.
    2. Hollenbeck, Brett, 2018. "Horizontal Mergers and Innovation in Concentrated Industries," MPRA Paper 90764, University Library of Munich, Germany.
    3. Ya You & Shuba Srinivasan & Koen Pauwels & Amit Joshi, 2020. "How CEO/CMO characteristics affect innovation and stock returns: findings and future directions," Journal of the Academy of Marketing Science, Springer, vol. 48(6), pages 1229-1253, November.
    4. Mohammad Jamal Khan & Sahrish Ahmad & Hasliza Abdul Halim & Noor Hazlina Ahmad, 2022. "The Effect of Service Innovation Orientation and Open Innovation on Innovation Performance of Medium and Small Private Hospitals in India," SAGE Open, , vol. 12(3), pages 21582440221, August.
    5. Stella Lippolis & Angelo Ruggieri & Rossella Leopizzi, 2023. "Open Innovation for sustainable transition: The case of Enel “Open Power”," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4202-4216, November.
    6. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    7. Heidenreich, Sven & Kraemer, Tobias, 2015. "Passive innovation resistance: The curse of innovation? Investigating consequences for innovative consumer behavior," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 134-151.
    8. Rajdeep Grewal & Murali Chandrashekaran & F. Robert Dwyer, 2008. "Navigating Local Environments with Global Strategies: A Contingency Model of Multinational Subsidiary Performance," Marketing Science, INFORMS, vol. 27(5), pages 886-902, 09-10.
    9. Cloughton, Carol, 2020. "Investigating the link between innovation and mainstream adoption: How to identify consumer trends," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    10. Granato, Giulia & Fischer, Arnout R.H. & van Trijp, Hans C.M., 2022. "“Misalignments between users and designers as source of inspiration: A novel hybrid method for physical new product development”," Technovation, Elsevier, vol. 111(C).
    11. Bitner, Mary Jo & Brown, Stephen W., 2008. "The service imperative," Business Horizons, Elsevier, vol. 51(1), pages 39-46.
    12. Sylwia Bąk, 2023. "The Embedment of Risk Management in Enterprise Management System," International Journal of Contemporary Management, Sciendo, vol. 59(2), pages 1-16, June.
    13. Tor Helge Aas & Karl Joachim Breunig & Katja Maria Hydle, 2017. "Exploring New Service Portfolio Management," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-31, August.
    14. Zschocke, Mark S. & Mantin, Benny & Jewkes, Elizabeth M., 2013. "Mature or emerging markets: Competitive duopoly investment decisions," European Journal of Operational Research, Elsevier, vol. 228(3), pages 612-622.
    15. Andries, Petra & Hünermund, Paul, 2020. "Firm-level effects of staged investments in innovation: The moderating role of resource availability," Research Policy, Elsevier, vol. 49(7).
    16. Brettel, Malte & Mauer, René & Engelen, Andreas & Küpper, Daniel, 2012. "Corporate effectuation: Entrepreneurial action and its impact on R&D project performance," Journal of Business Venturing, Elsevier, vol. 27(2), pages 167-184.
    17. Bolton, Ruth & Saxena-Iyer, Shruti, 2009. "Interactive Services: A Framework, Synthesis and Research Directions," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 91-104.
    18. Thierry BURGER-HELMCHEN & Claude GUITTARD, 2008. "Are Users The Next Entrepreneurs? A Case Study On The Video Game Industry," Working Papers of BETA 2008-14, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    19. Małgorzata Wiścicka-Fernando & Sandra Misiak-Kwit & Kelaniyage Shihan Dilruk Fernando, 2019. "Co-Creation as an Innovative Way to Develop an Enterprise—Cross-Country Analysis," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    20. Jugend, Daniel & da Silva, Sérgio Luis & Salgado, Manoel Henrique & Miguel, Paulo Augusto Cauchick, 2016. "Product portfolio management and performance: Evidence from a survey of innovative Brazilian companies," Journal of Business Research, Elsevier, vol. 69(11), pages 5095-5100.
    21. Sara Parry & Beata Kupiec-Teahan, 2010. "Exploring Marketing and Relationship Software SMEs: A Mixed Methods Approach," Working Papers 10015, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    22. Deepa Chandrasekaran & Gerard J. Tellis, 2008. "Global Takeoff of New Products: Culture, Wealth, or Vanishing Differences?," Marketing Science, INFORMS, vol. 27(5), pages 844-860, 09-10.
    23. Mihai DRAGHICI & Andreea Jenica PETCU (DRAGHICI), 2011. "Knowledge Transfer - The Key To Drive Innovation For Service Organizations Excellence," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 1(4), pages 1-2, June.
    24. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    25. Sheng, Shibin & Zhou, Kevin Zheng & Lessassy, Leopold, 2013. "NPD speed vs. innovativeness: The contingent impact of institutional and market environments," Journal of Business Research, Elsevier, vol. 66(11), pages 2355-2362.
    26. Reade, Carol & Lee, Hyun-Jung, 2016. "Does ethnic conflict impede or enable employee innovation behavior? The alchemic role of collaborative conflict management," LSE Research Online Documents on Economics 65613, London School of Economics and Political Science, LSE Library.
    27. Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 0. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    28. Eleonora Bartoloni & Maurizio Baussola, 2015. "Persistent Product Innovation and Market-oriented Behaviour: the Impact on Firms' Performance," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1505, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    29. Katharina Elisabeth Fischer & Tom Stargardt, 2016. "The diffusion of generics after patent expiry in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 1027-1040, November.
    30. M. Berk Ataman & Carl F. Mela & Harald J. van Heerde, 2008. "Building Brands," Marketing Science, INFORMS, vol. 27(6), pages 1036-1054, 11-12.
    31. Aurélie Hemonnet-Goujot & Julie Fabbri & Delphine Manceau, 2016. "Crowdsourcing vs Design Thinking. Une étude comparative de deux démarches d'innovation externe dans la phase d'idéation," Post-Print hal-01412693, HAL.
    32. Lin, Jun & Chai, Kah Hin & Brombacher, Aarnout C. & Wong, Yoke San, 2009. "Optimal overlapping and functional interaction in product development," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1158-1169, August.
    33. Jacob Goldenberg & Oded Lowengart & Daniel Shapira, 2009. "Zooming In: Self-Emergence of Movements in New Product Growth," Marketing Science, INFORMS, vol. 28(2), pages 274-292, 03-04.
    34. Steven M. Shugan, 2007. "Editorial—The Anna Karenina Bias: Which Variables to Observe?," Marketing Science, INFORMS, vol. 26(2), pages 145-148, 03-04.
    35. Pejman Peykani & Mehdi Namazi & Emran Mohammadi, 2022. "Bridging the knowledge gap between technology and business: An innovation strategy perspective," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-18, April.
    36. Ahmed, Waqar & Najmi, Arsalan & Ikram, Minhaj, 2020. "Steering firm performance through innovative capabilities: A contingency approach to innovation management," Technology in Society, Elsevier, vol. 63(C).
    37. Yan lI, 2022. "Corporate Social Responsibility of Chinese Manufacturing Companies' effect on Green Business Strategy, Innovation and Performance," Technium Social Sciences Journal, Technium Science, vol. 31(1), pages 522-552, May.
    38. Sebastian Schneider & Frank Huber, 2022. "You paid what!? Understanding price-related word-of-mouth and price perception among opinion leaders and innovators," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 64-80, February.
    39. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    40. Healey, John & Mintz, Ofer, 2021. "What if your owners also own other firms in your industry? The relationship between institutional common ownership, marketing, and firm performance," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 838-856.
    41. Jun Huang & Peijun Xie & Yating Zeng & Yun Li, 2021. "The Effect of Corporate Social Responsibility on the Technology Innovation of High-Growth Business Organizations," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    42. Lucian-Florin Onișor, 2015. "Marketing and Business Development between Idea, Scientific Discovery and Innovation," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 1(1), pages 29-39, July.
    43. Lemmerer, Andreas & Zapilko, Marina & Menrad, Klaus, 2015. "Senior Management’s Influence on New Product Development Projects and Firm Performance in Small and Medium-Sized Food Companies," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(4), pages 1-16, November.
    44. Abbie Griffin & Brett Josephson & Gary Lilien & Fred Wiersema & Barry Bayus & Rajesh Chandy & Ely Dahan & Steve Gaskin & Ajay Kohli & Christopher Miller & Ralph Oliva & Jelena Spanjol, 2013. "Marketing’s roles in innovation in business-to-business firms: Status, issues, and research agenda," Marketing Letters, Springer, vol. 24(4), pages 323-337, December.
    45. Rangus, Kaja & Slavec, Alenka, 2017. "The interplay of decentralization, employee involvement and absorptive capacity on firms' innovation and business performance," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 195-203.
    46. Jissink, Tymen & Schweitzer, Fiona & Rohrbeck, René, 2019. "Forward-looking search during innovation projects: Under which conditions it impacts innovativeness," Technovation, Elsevier, vol. 84, pages 71-85.
    47. Voola, Ranjit & Casimir, Gian & Carlson, Jamie & Anushree Agnihotri, M., 2012. "The effects of market orientation, technological opportunism, and e-business adoption on performance: A moderated mediation analysis," Australasian marketing journal, Elsevier, vol. 20(2), pages 136-146.
    48. Preeti Nayal & Neeraj Pandey & Justin Paul, 2022. "Covid‐19 pandemic and consumer‐employee‐organization wellbeing: A dynamic capability theory approach," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 359-390, March.
    49. Guidolin, Mariangela & Guseo, Renato, 2016. "The German energy transition: Modeling competition and substitution between nuclear power and Renewable Energy Technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1498-1504.
    50. Gaelle Pantin-Sohier & François Pantin & Alice Sohier & Laure Jacquemier & Rania Serhal, 2018. "Comprendre les conditions d’acceptation de l’innovation dans le secteur végétal," Post-Print hal-03224072, HAL.
    51. A. Negahban & J.S. Smith, 2016. "The effect of supply and demand uncertainties on the optimal production and sales plans for new products," International Journal of Production Research, Taylor & Francis Journals, vol. 54(13), pages 3852-3869, July.
    52. Zeynep Gürhan-Canli & Ceren Hayran & Gülen Sarial-Abi, 2016. "Customer-based brand equity in a technologically fast-paced, connected, and constrained environment," AMS Review, Springer;Academy of Marketing Science, vol. 6(1), pages 23-32, June.
    53. Pez, Virginie & Butori, Raphaëlle & de Kerviler, Gwarlann, 2015. "Because I'm worth it: The impact of given versus perceived status on preferential treatment effectiveness," Journal of Business Research, Elsevier, vol. 68(12), pages 2477-2483.
    54. Marc Fischer & Peter Leeflang & Peter Verhoef, 2010. "Drivers of peak sales for pharmaceutical brands," Quantitative Marketing and Economics (QME), Springer, vol. 8(4), pages 429-460, December.
    55. Feim M. Blakçori, 2014. "The Role of Formal Routines in Organizational Innovation," International Journal of Business and Social Research, LAR Center Press, vol. 4(2), pages 56-70, February.
    56. Oh, Ga-Eun (Grace) & Aliyev, Murod & Kafouros, Mario & Au, Alan Kai Ming, 2022. "The role of consumer characteristics in explaining product innovation performance: Evidence from emerging economies," Journal of Business Research, Elsevier, vol. 149(C), pages 713-727.
    57. Akter, Shahriar & Babu, Mujahid Mohiuddin & Hossain, Md Afnan & Hani, Umme, 2022. "Value co-creation on a shared healthcare platform: Impact on service innovation, perceived value and patient welfare," Journal of Business Research, Elsevier, vol. 140(C), pages 95-106.
    58. Pasquale Del Vecchio & Gioconda Mele & Valentina Ndou & Giustina Secundo, 2018. "Open Innovation and Social Big Data for Sustainability: Evidence from the Tourism Industry," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    59. Byung Cheol Lee & Christine Moorman & C. Page Moreau & Andrew T. Stephen & Donald R. Lehmann, 2020. "The past, present, and future of innovation research," Marketing Letters, Springer, vol. 31(2), pages 187-198, September.
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    62. Thakur, Ramendra & Angriawan, Arifin & Summey, John H., 2016. "Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness," Journal of Business Research, Elsevier, vol. 69(8), pages 2764-2773.
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  10. John R. Hauser & Olivier Toubia, 2005. "The Impact of Utility Balance and Endogeneity in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(3), pages 498-507, August.

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    2. Lan Luo & P. K. Kannan & Brian T. Ratchford, 2007. "New Product Development Under Channel Acceptance," Marketing Science, INFORMS, vol. 26(2), pages 149-163, 03-04.
    3. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    4. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    5. Qing Liu & Thomas Otter & Greg M. Allenby, 2007. "Investigating Endogeneity Bias in Marketing," Marketing Science, INFORMS, vol. 26(5), pages 642-650, 09-10.
    6. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
    7. Luc Wathieu & Marco Bertini, 2007. "Price as a Stimulus to Think: The Case for Willful Overpricing," Marketing Science, INFORMS, vol. 26(1), pages 118-129, 01-02.
    8. John R. Hauser & Guilherme (Gui) Liberali & Glen L. Urban, 2014. "Website Morphing 2.0: Switching Costs, Partial Exposure, Random Exit, and When to Morph," Management Science, INFORMS, vol. 60(6), pages 1594-1616, June.
    9. Decker, Reinhold & Trusov, Michael, 2010. "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 293-307.
    10. Steven M. Shugan, 2006. "Editorial—Are Consumers Rational? Experimental Evidence?," Marketing Science, INFORMS, vol. 25(1), pages 1-7, 01-02.
    11. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    12. Olivier Toubia & John Hauser & Rosanna Garcia, 2007. "Probabilistic Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis: Theory and Application," Marketing Science, INFORMS, vol. 26(5), pages 596-610, 09-10.
    13. David Hensher & Sean Puckett & John Rose, 2007. "Extending stated choice analysis to recognise agent-specific attribute endogeneity in bilateral group negotiation and choice: a think piece," Transportation, Springer, vol. 34(6), pages 667-679, November.
    14. Olivier Toubia & John R. Hauser, 2007. "—On Managerially Efficient Experimental Designs," Marketing Science, INFORMS, vol. 26(6), pages 851-858, 11-12.
    15. Steven M. Shugan, 2006. "Editorial: Who Is Afraid to Give Freedom of Speech to Marketing Folks?," Marketing Science, INFORMS, vol. 25(5), pages 403-410, September.
    16. Theodoros Evgeniou & Massimiliano Pontil & Olivier Toubia, 2007. "A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation," Marketing Science, INFORMS, vol. 26(6), pages 805-818, 11-12.
    17. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    18. Campbell, Danny & Doherty, Edel & Gibson, Vikki, 2011. "Choosing ‘buy none’ in food choice analysis: the role of utility balance," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108951, Agricultural Economics Society.
    19. Denis Sauré & Juan Pablo Vielma, 2019. "Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis," Operations Research, INFORMS, vol. 67(2), pages 315-338, March.
    20. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.
    21. Steven M. Shugan, 2006. "Editorial: Save Research—Abandon the Case Method of Teaching," Marketing Science, INFORMS, vol. 25(2), pages 109-115, 03-04.
    22. Olivier Toubia & Laurent Florès, 2007. "Adaptive Idea Screening Using Consumers," Marketing Science, INFORMS, vol. 26(3), pages 342-360, 05-06.

  11. Olivier Toubia & Duncan I. Simester & John R. Hauser & Ely Dahan, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Marketing Science, INFORMS, vol. 22(3), pages 273-303.
    See citations under working paper version above.
  12. John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1997. "Side Payments in Marketing," Marketing Science, INFORMS, vol. 16(3), pages 246-255.
    • Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1997. "Side payments in marketing," Working papers 161-97. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    See citations under working paper version above.
  13. John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1994. "Customer Satisfaction Incentives," Marketing Science, INFORMS, vol. 13(4), pages 327-350.

    Cited by:

    1. Zheyin (Jane) Gu & Yunchuan Liu, 2018. "Why would a big retailer refuse to collaborate on manufacturer SPIFF programs?," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 441-472, December.
    2. Margaret A. Abernethy & Jan Bouwens & Laurence Van Lent, 2013. "The Role of Performance Measures in the Intertemporal Decisions of Business Unit Managers," Contemporary Accounting Research, John Wiley & Sons, vol. 30(3), pages 925-961, September.
    3. Naresh Bansal & Kissan Bansal & Minghui Ma & M. Babajide Wintoki, 2017. "Do CMO Incentives Matter? An Empirical Investigation of CMO Compensation and Its Impact on Firm Performance," Management Science, INFORMS, vol. 63(6), pages 1993-2015, June.
    4. Sunil Dutta & Stefan Reichelstein, 2003. "Leading Indicator Variables, Performance Measurement, and Long‐Term Versus Short‐Term Contracts," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 837-866, December.
    5. John R. Hauser, 1998. "Research, Development, and Engineering Metrics," Management Science, INFORMS, vol. 44(12-Part-1), pages 1670-1689, December.
    6. Ezlika Ghazali & Bang Nguyen & Dilip S. Mutum & Amrul Asraf Mohd-Any, 2016. "Constructing online switching barriers: examining the effects of switching costs and alternative attractiveness on e-store loyalty in online pure-play retailers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 157-171, May.
    7. Michael Raith, 2008. "Specific knowledge and performance measurement," RAND Journal of Economics, RAND Corporation, vol. 39(4), pages 1059-1079, December.
    8. Yusong Wang & David Bell & V. Padmanabhan, 2009. "Manufacturer-owned retail stores," Marketing Letters, Springer, vol. 20(2), pages 107-124, June.
    9. Neil A. Morgan & Lopo Leotte Rego, 2006. "The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Business Performance," Marketing Science, INFORMS, vol. 25(5), pages 426-439, September.
    10. Steven M. Shugan, 2005. "Brand Loyalty Programs: Are They Shams?," Marketing Science, INFORMS, vol. 24(2), pages 185-193.
    11. Yan Dong & Yuliang Yao & Tony Haitao Cui, 2011. "When Acquisition Spoils Retention: Direct Selling vs. Delegation Under CRM," Management Science, INFORMS, vol. 57(7), pages 1288-1299, July.
    12. Im, Subin & Nakata, Cheryl, 2008. "Crafting an environment to foster integration in new product teams," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 164-172.
    13. Eitan Gerstner & Barak Libai, 2006. "—Why Does Poor Service Prevail?," Marketing Science, INFORMS, vol. 25(6), pages 601-603, 11-12.
    14. Yu (Jeffrey) Hu & Jiwoong Shin & Zhulei Tang, 2016. "Incentive Problems in Performance-Based Online Advertising Pricing: Cost per Click vs. Cost per Action," Management Science, INFORMS, vol. 62(7), pages 2022-2038, July.
    15. Ittner, Christopher D. & Larcker, David F. & Randall, Taylor, 2003. "Performance implications of strategic performance measurement in financial services firms," Accounting, Organizations and Society, Elsevier, vol. 28(7-8), pages 715-741.
    16. Pingzhong Tang & Hanrui Zhang, 2017. "Unit-sphere games," International Journal of Game Theory, Springer;Game Theory Society, vol. 46(4), pages 957-974, November.
    17. Tinglong Dai & Kinshuk Jerath, 2013. "Salesforce Compensation with Inventory Considerations," Management Science, INFORMS, vol. 59(11), pages 2490-2501, November.
    18. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1995. "Internal customers and internal suppliers," Working papers 3759-95. WP (Internationa, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    19. Griffin, Abbie. & Hauser, John R. & Griffin, Abbie, 1994. "Integrating R&D and marketing : a review and analysis of the literature," Working papers #112-94. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    20. Chanho Song & Sungha Jang & Jennifer Wiggins & Edward Nowlin, 2019. "Does haste always make waste? Service quantity, service quality, and incentives in speed-intensive service firms," Service Business, Springer;Pan-Pacific Business Association, vol. 13(2), pages 289-304, June.
    21. Aoudji, Augustin K.N. & Adégbidi, Anselme & Ganglo, Jean C. & Agbo, Valentin & Yêvidé, Armand S.I. & De Cannière, Charles & Lebailly, Philippe, 2011. "Satisfaction across urban consumers of smallholder-produced teak (Tectona grandis L.f.) poles in South Benin," Forest Policy and Economics, Elsevier, vol. 13(8), pages 642-651, October.
    22. Fabio Caldieraro & Anne T. Coughlan, 2007. "Spiffed-Up Channels: The Role of Spiffs in Hierarchical Selling Organizations," Marketing Science, INFORMS, vol. 26(1), pages 31-51, 01-02.
    23. Ruth Stock, 2004. "Erfolgsauswirkungen der marktorientierten Gestaltung des Personalmanagements," Schmalenbach Journal of Business Research, Springer, vol. 56(3), pages 237-258, May.
    24. Xiao, Tiaojun & Qi, Xiangtong, 2010. "Strategic wholesale pricing in a supply chain with a potential entrant," European Journal of Operational Research, Elsevier, vol. 202(2), pages 444-455, April.
    25. Dhinu Srinivasan & Alex Thevaranjan, 2016. "The role of non-financial measures in controlling myopic activities: the case of hard selling," International Journal of Accounting, Auditing and Performance Evaluation, Inderscience Enterprises Ltd, vol. 12(2), pages 103-130.
    26. Robert Jacobson & Natalie Mizik, 2009. "The Financial Markets and Customer Satisfaction: Reexamining Possible Financial Market Mispricing of Customer Satisfaction," Marketing Science, INFORMS, vol. 28(5), pages 810-819, 09-10.
    27. Rust, Roland T. & Moorman, Christine & van Beuningen, Jacqueline, 2016. "Quality mental model convergence and business performance," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 155-171.
    28. Ming-Lu Wu, 2014. "Cross-border comparative studies of service quality and consumer satisfaction: some empirical results," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 89-106, June.
    29. Park, Sohee, 2023. "Customer prospects and pay-performance sensitivity: Evidence from Korea," Research in International Business and Finance, Elsevier, vol. 64(C).
    30. Hauser, John R. & Katz, Gerald M. & International Center for Research on the Management of Technology., 1998. "Metrics : you are what you measure!," Working papers 172-98, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    31. Allam Yousuf & Vahid Zeynvand Lorestani & Judit Oláh & János Felföldi, 2021. "Does Uncertainty Moderate the Relationship between Strategic Flexibility and Companies’ Performance? Evidence from Small and Medium Pharmaceutical Companies in Iran," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    32. Dmitri Kuksov & J. Miguel Villas-Boas, 2019. "The Performance Measurement Trap," Marketing Science, INFORMS, vol. 38(1), pages 68-87, January.
    33. Ajay Kalra & Mengze Shi & Kannan Srinivasan, 2003. "Salesforce Compensation Scheme and Consumer Inferences," Management Science, INFORMS, vol. 49(5), pages 655-672, May.
    34. Evgeni Stanimirov & Vladimir Jechev, 2013. "Consumer Orientation as a Factor for Satisfying the Clients," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 56-89.
    35. Rong Huang & Xintian Lin & Yuan Xie, 2023. "Does CDS market price intangible asset value? Evidence from SG&A expenditure," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 701-728, August.
    36. Kissan Joseph & Alex Thevaranjan, 1998. "Monitoring and Incentives in Sales Organizations: An Agency-Theoretic Perspective," Marketing Science, INFORMS, vol. 17(2), pages 107-123.
    37. Gu, Leilei, 2023. "Executives’ financial experience and myopic marketing management: A myopic loss-aversion perspective," Journal of Business Research, Elsevier, vol. 157(C).
    38. Yu-Ching Chiao, 2014. "Country risk, multimarket contacts and MNEs' competitive action," International Journal of Business Environment, Inderscience Enterprises Ltd, vol. 6(4), pages 329-350.
    39. Ahmed Khwaja & Nathan Yang, 2022. "Quantifying the link between employee engagement, and customer satisfaction and retention in the car rental industry," Quantitative Marketing and Economics (QME), Springer, vol. 20(3), pages 275-292, September.
    40. Sanjog Misra & Anne Coughlan & Chakravarthi Narasimhan, 2005. "Salesforce Compensation: An Analytical and Empirical Examination of the Agency Theoretic Approach," Quantitative Marketing and Economics (QME), Springer, vol. 3(1), pages 5-39, January.
    41. Huang, Ming-Hui & Trusov, Michael, 2020. "Customer satisfaction underappreciation: The relation of customer satisfaction to CEO compensation," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 129-150.
    42. Andreas Herrmann & Frank Huber & Martin Wricke, 1999. "Die Herausbildung von Zufriedenheits-urteilen bei Alternativenbetrachtung," Schmalenbach Journal of Business Research, Springer, vol. 51(7), pages 677-692, July.
    43. Robert Ridlon & Jiwoong Shin, 2013. "Favoring the Winner or Loser in Repeated Contests," Marketing Science, INFORMS, vol. 32(5), pages 768-785, September.
    44. Gan, Huiqi & Park, Myung S. & Suh, SangHyun, 2020. "Non-financial performance measures, CEO compensation, and firms’ future value," Journal of Business Research, Elsevier, vol. 110(C), pages 213-227.
    45. Eunice Minjoo Kang & Seul Ki Lee, 2022. "The Impact of Monetary Benefits in a Pandemic Situation—Navigating Changes in Customer Loyalty through Negative Switching Barriers in the Hotel Industry," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    46. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    47. Wei-yu Kevin Chiang, 2012. "Supply Chain Dynamics and Channel Efficiency in Durable Product Pricing and Distribution," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 327-343, April.
    48. Ning, Yu & Yan, Mian & Xu, Su Xiu & Li, Yina & Li, Lixu, 2021. "Shared parking acceptance under perceived network externality and risks: Theory and evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 1-15.
    49. Rachel R. Chen & Eitan Gerstner & Yinghui (Catherine) Yang, 2009. "—Should Captive Sardines Be Compensated? Serving Customers in a Confined Zone," Marketing Science, INFORMS, vol. 28(3), pages 599-608, 05-06.
    50. Chun-Hung (Hugo) Tang & Ji-Eun Lee, 2014. "Employee satisfaction and long-run shareholder returns," The Service Industries Journal, Taylor & Francis Journals, vol. 34(14), pages 1167-1183, October.
    51. Eyal Biyalogorsky & Eitan Gerstner & Barak Libai, 2001. "Customer Referral Management: Optimal Reward Programs," Marketing Science, INFORMS, vol. 20(1), pages 82-95, August.
    52. Olivier Rubel & Ashutosh Prasad, 2016. "Dynamic Incentives in Sales Force Compensation," Marketing Science, INFORMS, vol. 35(4), pages 676-689, July.
    53. Fabio Caldieraro & Anne T. Coughlan, 2009. "Optimal Sales Force Diversification and Group Incentive Payments," Marketing Science, INFORMS, vol. 28(6), pages 1009-1026, 11-12.
    54. Rust, Roland T. & Metters, Richard, 1996. "Mathematical models of service," European Journal of Operational Research, Elsevier, vol. 91(3), pages 427-439, June.
    55. Roland T. Rust & Tuck Siong Chung, 2006. "Marketing Models of Service and Relationships," Marketing Science, INFORMS, vol. 25(6), pages 560-580, 11-12.
    56. Dmitri Kuksov & Ying Xie, 2010. "Pricing, Frills, and Customer Ratings," Marketing Science, INFORMS, vol. 29(5), pages 925-943, 09-10.
    57. Steven M. Shugan, 2007. "—Causality, Unintended Consequences and Deducing Shared Causes," Marketing Science, INFORMS, vol. 26(6), pages 731-741, 11-12.
    58. Maiga, Adam S. & Nilsson, Anders & Jacobs, Fred A., 2013. "Extent of managerial IT use, learning routines, and firm performance: A structural equation modeling of their relationship," International Journal of Accounting Information Systems, Elsevier, vol. 14(4), pages 297-320.
    59. Wagner A. Kamakura & Vikas Mittal & Fernando de Rosa & José Afonso Mazzon, 2002. "Assessing the Service-Profit Chain," Marketing Science, INFORMS, vol. 21(3), pages 294-317, February.
    60. Natalie Mizik & Robert Jacobson, 2007. "Myopic Marketing Management: Evidence of the Phenomenon and Its Long-Term Performance Consequences in the SEO Context," Marketing Science, INFORMS, vol. 26(3), pages 361-379, 05-06.
    61. Daniel H. Simon & Miguel I. Gómez & Edward W. McLaughlin & Dick R. Wittink, 2009. "Employee attitudes, customer satisfaction, and sales performance: assessing the linkages in US grocery stores," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 27-41.
    62. Dutta, Sunil & Reichelstein, Stefan J., 2002. "Leading Indicator Variables, Performance Measurement and Long-Term versus Short-Term Contracts," Research Papers 1756, Stanford University, Graduate School of Business.
    63. Shane Dikolli & Igor Vaysman, 2006. "Contracting on the Stock Price and Forward-Looking Performance Measures," European Accounting Review, Taylor & Francis Journals, vol. 15(4), pages 445-464.
    64. Sabu V.G. & Manoj M., 2020. "The Effect of Employee Desire and Employee Engagement on Organizational Performance: Evidence from ICT Sector in Kerala, India," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(4), pages 500-518, November.

  14. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    See citations under working paper version above.
  15. John R. Hauser, 1988. "Note—Competitive Price and Positioning Strategies," Marketing Science, INFORMS, vol. 7(1), pages 76-91.

    Cited by:

    1. Ansari, A. & Economides, N. & Steckel, J., 1996. "The Max-Min-Min Principle of product Differentiation," Working Papers 96-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Takeshi Ebina & Noriaki Matsushima, 2017. "Product differentiation and entry timing in a continuous-time spatial competition model with vertical relations," ISER Discussion Paper 1009, Institute of Social and Economic Research, Osaka University.
    3. Stefan Roth, 1999. "Möglichkeiten und Grenzen ökonomischer Positionierungsmodelle," Schmalenbach Journal of Business Research, Springer, vol. 51(3), pages 243-266, March.
    4. Jonathan D. Bohlmann & Peter N. Golder & Debanjan Mitra, 2002. "Deconstructing the Pioneer's Advantage: Examining Vintage Effects and Consumer Valuations of Quality and Variety," Management Science, INFORMS, vol. 48(9), pages 1175-1195, September.
    5. Martin Peitz, 1997. "Models à La Lancaster and à La Hoteling: When they are the same," Working Papers. Serie AD 1997-02, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    6. Zhang, Yue, 2015. "Designing a retail store network with strategic pricing in a competitive environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 265-273.
    7. Delre, Sebastiano A. & Panico, Claudio & Wierenga, Berend, 2017. "Competitive strategies in the motion picture industry: An ABM to study investment decisions," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 69-99.
    8. Shriver, Scott K. & Srinivasan, V. Seenu, 2011. "What If Marketers Put Their Customers ahead of Profits?," Research Papers 2091, Stanford University, Graduate School of Business.
    9. Marks, Ulf G. & Albers, Sönke, 1995. "Experiments in competitive product positioning: An equilibrium analysis," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 364, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    10. Caplin, Andrew & Nalebuff, Barry, 1991. "Aggregation and Imperfect Competition: On the Existence of Equilibrium," Econometrica, Econometric Society, vol. 59(1), pages 25-59, January.
    11. Z. Eddie Ning & J. Miguel Villas-Boas, 2022. "Following the Customers: Dynamic Competitive Repositioning," Management Science, INFORMS, vol. 68(2), pages 1002-1018, February.
    12. RHEE, Byong-Duk & DE PALMA, André & FORNELL, Claes & THISSE, Jacques-François, 1992. "Restoring the principle of minimum differentiation in product positioning," LIDAM Reprints CORE 1052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Rajeev K. Tyagi, 2000. "Sequential Product Positioning Under Differential Costs," Management Science, INFORMS, vol. 46(7), pages 928-940, July.
    14. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    15. Jordi Sintas & Ercilia Álvarez, 2002. "The Consumption of Cultural Products: An Analysis of the Spanish Social Space," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(2), pages 115-138, May.
    16. Yong Liu & Daniel S. Putler & Charles B. Weinberg, 2006. "A Reply to “A Comment on ‘Is Having More Channels Really Better? A Model of Competition Among Commercial Television Broadcasters' ”," Marketing Science, INFORMS, vol. 25(5), pages 543-546, September.
    17. Nicholas Economides & Joel Steckel, "undated". "The Max-Min Principle of Product Differentiation," Networks, Compatibility 94-16, Economics of Networks.
    18. Palsule-Desai, Omkar D. & Tirupati, Devanath & Shah, Janat, 2015. "Product line design and positioning using add-on services," International Journal of Production Economics, Elsevier, vol. 163(C), pages 16-33.
    19. Raphael Thomadsen, 2007. "Product Positioning and Competition: The Role of Location in the Fast Food Industry," Marketing Science, INFORMS, vol. 26(6), pages 792-804, 11-12.
    20. Masaaki Kijima & Kei-Ichiro Nakagawa & Takashi Namatame, 2000. "Competitive Price Equilibrium with Consumer Reservation Utility," Computational and Mathematical Organization Theory, Springer, vol. 6(1), pages 7-27, May.
    21. Buechel, Berno & Klein, Jan, 2014. "Do Consumers' Preferences Really Matter? - A Note on Spatial Competition with Restricted Strategies," MPRA Paper 55288, University Library of Munich, Germany.
    22. Bloch, Francis & Manceau, Delphine, 1999. "Persuasive advertising in Hotelling's model of product differentiation," International Journal of Industrial Organization, Elsevier, vol. 17(4), pages 557-574, May.
    23. Sajeesh Sajeesh & Song Sang-Young, 2017. "Transaction Utility and Quality Choice," Review of Marketing Science, De Gruyter, vol. 15(1), pages 1-17, June.
    24. S. Sajeesh, 2016. "Influence of market-level and inter-firm differences in costs on product positioning and pricing," Applied Economics Letters, Taylor & Francis Journals, vol. 23(12), pages 888-896, August.
    25. Dmitri Kuksov & Yuanfang Lin, 2010. "Information Provision in a Vertically Differentiated Competitive Marketplace," Marketing Science, INFORMS, vol. 29(1), pages 122-138, 01-02.
    26. Yunchuan Liu & Rajeev K. Tyagi, 2011. "The Benefits of Competitive Upward Channel Decentralization," Management Science, INFORMS, vol. 57(4), pages 741-751, April.
    27. J. Miguel Villas-Boas, 2018. "A Dynamic Model of Repositioning," Marketing Science, INFORMS, vol. 37(2), pages 279-293, March.
    28. Zheyin (Jane) Gu & Ying Xie, 2013. "Facilitating Fit Revelation in the Competitive Market," Management Science, INFORMS, vol. 59(5), pages 1196-1212, May.
    29. Sudharshan, D. & Ravi Kumar, K. & Gruca, Thomas S., 1995. "NICHER: An approach to identifying defensible product positions," European Journal of Operational Research, Elsevier, vol. 84(2), pages 292-309, July.

  16. John R. Hauser & Birger Wernerfelt, 1988. "Technical Note—Existence and Uniqueness of Price Equilibria in Defender," Marketing Science, INFORMS, vol. 7(1), pages 92-93.

    Cited by:

    1. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.

  17. John R. Hauser & Steven P. Gaskin, 1984. "Application of the “Defender” Consumer Model," Marketing Science, INFORMS, vol. 3(4), pages 327-351.

    Cited by:

    1. Toubia, Olivier & Simester, Duncan & Hauser, John & Dahan, Ely, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Working papers 4279-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Gallego, Guillermo & Li, Anran & Truong, Van-Anh & Wang, Xinshang, 2020. "Approximation algorithms for product framing and pricing," LSE Research Online Documents on Economics 101983, London School of Economics and Political Science, LSE Library.
    3. Wayne DeSarbo & Donald Lehmann & Gregory Carpenter & Indrajit Sinha, 1996. "A stochastic multidimensional unfolding approach for representing phased decision outcomes," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 485-508, September.
    4. John H. Roberts & Charles J. Nelson & Pamela D. Morrison, 2005. "A Prelaunch Diffusion Model for Evaluating Market Defense Strategies," Marketing Science, INFORMS, vol. 24(1), pages 150-164, August.
    5. Christian Jaag & Helmut Dietl & Urs Trinkner & Oliver F?rst, 2011. "Defending Mail Markets against New Entrants: An Application of the Defender Model," Working Papers 0027, Swiss Economics.
    6. Guillermo Gallego & Anran Li & Van-Anh Truong & Xinshang Wang, 2020. "Approximation Algorithms for Product Framing and Pricing," Operations Research, INFORMS, vol. 68(1), pages 134-160, January.
    7. Kostas Axarloglou, 2008. "Product line extensions: causes and effects," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 9-21.
    8. Wesson, Tom & De Figueiredo, Joao Neiva, 2001. "The importance of focus to market entrants: A study of microbrewery performance," Journal of Business Venturing, Elsevier, vol. 16(4), pages 377-403, July.
    9. Suman Basuroy & Dung Nguyen, 1998. "Multinomial Logit Market Share Models: Equilibrium Characteristics and Strategic Implications," Management Science, INFORMS, vol. 44(10), pages 1396-1408, October.
    10. Cascetta, Ennio & Papola, Andrea, 2009. "Dominance among alternatives in random utility models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 170-179, February.
    11. Barry L. Bayus & William P. Putsis, Jr., 1999. "Product Proliferation: An Empirical Analysis of Product Line Determinants and Market Outcomes," Marketing Science, INFORMS, vol. 18(2), pages 137-153.

  18. Glen L. Urban & Philip L. Johnson & John R. Hauser, 1984. "Testing Competitive Market Structures," Marketing Science, INFORMS, vol. 3(2), pages 83-112.

    Cited by:

    1. Ravi Anupindi & Maqbool Dada & Sachin Gupta, 1998. "Estimation of Consumer Demand with Stock-Out Based Substitution: An Application to Vending Machine Products," Marketing Science, INFORMS, vol. 17(4), pages 406-423.
    2. Benjamin Engelstätter & Michael R. Ward, 2018. "Strategic timing of entry: evidence from video games," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(1), pages 1-22, February.
    3. Daniel M. Ringel & Bernd Skiera, 2016. "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data," Marketing Science, INFORMS, vol. 35(3), pages 511-534, May.
    4. Nobuhiko Terui & Masataka Ban & Toshihiko Maki, 2010. "Finding market structure by sales count dynamics—Multivariate structural time series models with hierarchical structure for count data—," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(1), pages 91-107, February.
    5. Maximilian Matthe & Daniel M. Ringel & Bernd Skiera, 2023. "Mapping Market Structure Evolution," Marketing Science, INFORMS, vol. 42(3), pages 589-613, May.
    6. Lee, Yinjin & Bateman, Alexis, 2021. "The competitiveness of fair trade and organic versus conventional coffee based on consumer panel data," Ecological Economics, Elsevier, vol. 184(C).
    7. A. Prinzie & D. Van Den Poel, 2005. "Incorporating sequential information into traditional classification models by using an element/position- sensitive SAM," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/292, Ghent University, Faculty of Economics and Business Administration.
    8. Siebert Ralph B, 2010. "Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-32, May.
    9. Alzate, Miriam & Arce-Urriza, Marta & Cebollada, Javier, 2022. "Mining the text of online consumer reviews to analyze brand image and brand positioning," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    10. A. Gürhan Kök & Yi Xu, 2011. "Optimal and Competitive Assortments with Endogenous Pricing Under Hierarchical Consumer Choice Models," Management Science, INFORMS, vol. 57(9), pages 1546-1563, February.
    11. Park, Sehoon & Jain, Dipak & Krishnamurthi, Lakshman, 1998. "A hierarchical elimination modeling approach for market structure analysis," European Journal of Operational Research, Elsevier, vol. 111(2), pages 328-350, December.
    12. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
    13. Sri Duvvuri & Thomas Gruca, 2010. "A Bayesian Multi-Level Factor Analytic Model of Consumer Price Sensitivities Across Categories," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 558-578, September.
    14. Yang Qian & Yuanchun Jiang & Yanan Du & Jianshan Sun & Yezheng Liu, 2020. "Segmenting market structure from multi-channel clickstream data: a novel generative model," Electronic Commerce Research, Springer, vol. 20(3), pages 509-533, September.
    15. Saridakis, Charalampos & Katsikeas, Constantine S. & Angelidou, Sofia & Oikonomidou, Maria & Pratikakis, Polyvios, 2023. "Mining Twitter lists to extract brand-related associative information for celebrity endorsement," European Journal of Operational Research, Elsevier, vol. 311(1), pages 316-332.
    16. Park, Namgyoo K. & Cho, Dong-Sung, 1997. "The effect of strategic alliance on performance," Journal of Air Transport Management, Elsevier, vol. 3(3), pages 155-164.
    17. Damangir, Sina & Du, Rex Yuxing & Hu, Ye, 2018. "Uncovering Patterns of Product Co-consideration: A Case Study of Online Vehicle Price Quote Request Data," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 1-17.
    18. Anocha Aribarg & Thomas Otter & Daniel Zantedeschi & Greg M. Allenby & Taylor Bentley & David J. Curry & Marc Dotson & Ty Henderson & Elisabeth Honka & Rajeev Kohli & Kamel Jedidi & Stephan Seiler & X, 2018. "Advancing Non-compensatory Choice Models in Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 82-92, March.
    19. Zachary G. Arens & Rebecca W. Hamilton, 2018. "The substitution strategy dilemma: substitute selection versus substitute effectiveness," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 130-146, January.
    20. Oded Netzer & Ronen Feldman & Jacob Goldenberg & Moshe Fresko, 2012. "Mine Your Own Business: Market-Structure Surveillance Through Text Mining," Marketing Science, INFORMS, vol. 31(3), pages 521-543, May.
    21. Peter M. Guadagni & John D. C. Little, 2008. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 27(1), pages 29-48, 01-02.
    22. Urban, Glen L. & Hulland, John S. & Weinberg, Bruce., 1990. "Modeling, categorization, elimination, and consideration for new product forecasting of consumer durables," Working papers 3206-90., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    23. Kannan, P. K. & Yim, Chi Kin (Bennett), 2001. "An investigation of the impact of promotions on across-submarket competition," Journal of Business Research, Elsevier, vol. 53(3), pages 137-149, September.
    24. Krishnamurthi, Lakshman & Raj, S. P. & Sivakumar, K., 1995. "Unique inter-brand effects of price on brand choice," Journal of Business Research, Elsevier, vol. 34(1), pages 47-56, September.
    25. Kamalini Ramdas & Mohanbir S. Sawhney, 2001. "A Cross-Functional Approach to Evaluating Multiple Line Extensions for Assembled Products," Management Science, INFORMS, vol. 47(1), pages 22-36, January.
    26. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.

  19. John R. Hauser & Steven M. Shugan, 1983. "Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 2(4), pages 319-360.
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  20. John R. Hauser & Kenneth J. Wisniewski, 1982. "Application, Predictive Test, and Strategy Implications for a Dynamic Model of Consumer Response," Marketing Science, INFORMS, vol. 1(2), pages 143-179.

    Cited by:

    1. Ralf van der Lans & Gerrit van Bruggen & Jehoshua Eliashberg & Berend Wierenga, 2010. "A Viral Branching Model for Predicting the Spread of Electronic Word of Mouth," Marketing Science, INFORMS, vol. 29(2), pages 348-365, 03-04.
    2. John H. Roberts & Charles J. Nelson & Pamela D. Morrison, 2005. "A Prelaunch Diffusion Model for Evaluating Market Defense Strategies," Marketing Science, INFORMS, vol. 24(1), pages 150-164, August.
    3. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    4. Ferreira, Kevin D. & Lee, Chi-Guhn, 2014. "An integrated two-stage diffusion of innovation model with market segmented learning," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 189-201.
    5. Urban, Glen L. & Weinberg, Bruce D. & Hauser, John R., 1994. "Premarket forecasting of really new products," Working papers 3689-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.

  21. Hauser, John, 1980. "Comments on "Econometric Models for Probabilistic Choice among Products."," The Journal of Business, University of Chicago Press, vol. 53(3), pages 31-34, July.

    Cited by:

    1. David Levine, 2011. "Neuroeconomics?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 58(3), pages 287-305, September.
    2. Herchenbach, Jody S. & Trudo, Claire & Briggeman, Brian C. & Bergtold, Jason S., 2023. "Valuing Trust: An Application to Agricultural Lending," 2023 Annual Meeting, July 23-25, Washington D.C. 335500, Agricultural and Applied Economics Association.
    3. Steven M. Shugan, 2006. "Editorial: Errors in the Variables, Unobserved Heterogeneity, and Other Ways of Hiding Statistical Error," Marketing Science, INFORMS, vol. 25(3), pages 203-216, 05-06.

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