IDEAS home Printed from https://ideas.repec.org/r/inm/ormksc/v22y2003i3p304-328.html
   My bibliography  Save this item

Bayesian Statistics and Marketing

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Dharshing, Samdruk & Hille, Stefanie Lena & Wüstenhagen, Rolf, 2017. "The Influence of Political Orientation on the Strength and Temporal Persistence of Policy Framing Effects," Ecological Economics, Elsevier, vol. 142(C), pages 295-305.
  2. Sam Ransbotham & Gerald C. Kane & Nicholas H. Lurie, 2012. "Network Characteristics and the Value of Collaborative User-Generated Content," Marketing Science, INFORMS, vol. 31(3), pages 387-405, May.
  3. Fang, Hao Audrey, 2008. "A discrete-continuous model of households' vehicle choice and usage, with an application to the effects of residential density," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 736-758, November.
  4. Hongyan Dai & Ling Ge & Chen Li & Yan Wen, 2022. "The interaction of discount promotion and display-related promotion on on-demand platforms," Information Systems and e-Business Management, Springer, vol. 20(2), pages 285-302, June.
  5. Ashish Agarwal & Tridas Mukhopadhyay, 2016. "The Impact of Competing Ads on Click Performance in Sponsored Search," Information Systems Research, INFORMS, vol. 27(3), pages 538-557.
  6. Ashish Agarwal & Kartik Hosanagar & Michael D. Smith, 2015. "Do Organic Results Help or Hurt Sponsored Search Performance?," Information Systems Research, INFORMS, vol. 26(4), pages 695-713, December.
  7. Jörn Hendrich Block & Andreas Thams, 2007. "Long-Term Orientation In Family And Non-Family Firms: A Bayesian Analysis," SFB 649 Discussion Papers SFB649DP2007-059, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  8. Friebe, Christian A. & von Flotow, Paschen & Täube, Florian A., 2014. "Exploring technology diffusion in emerging markets – the role of public policy for wind energy," Energy Policy, Elsevier, vol. 70(C), pages 217-226.
  9. Ramírez-Hassan, Andrés & Montoya-Blandón, Santiago, 2020. "Forecasting from others’ experience: Bayesian estimation of the generalized Bass model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 442-465.
  10. Netzer, Oded & Lattin, James M. & Srinivasan, V. Seenu, 2007. "A Hidden Markov Model of Customer Relationship Dynamics," Research Papers 1904r, Stanford University, Graduate School of Business.
  11. Frank M. Bass & Norris Bruce & Sumit Majumdar & B. P. S. Murthi, 2007. "Wearout Effects of Different Advertising Themes: A Dynamic Bayesian Model of the Advertising-Sales Relationship," Marketing Science, INFORMS, vol. 26(2), pages 179-195, 03-04.
  12. Refik Soyer & M. Murat Tarimcilar, 2008. "Modeling and Analysis of Call Center Arrival Data: A Bayesian Approach," Management Science, INFORMS, vol. 54(2), pages 266-278, February.
  13. Dapeng Cui & David Curry, 2005. "Prediction in Marketing Using the Support Vector Machine," Marketing Science, INFORMS, vol. 24(4), pages 595-615, January.
  14. Lydia Simon & Jost Adler, 2022. "Worth the effort? Comparison of different MCMC algorithms for estimating the Pareto/NBD model," Journal of Business Economics, Springer, vol. 92(4), pages 707-733, May.
  15. Germann, Frank & Lilien, Gary L. & Fiedler, Lars & Kraus, Matthias, 2014. "Do Retailers Benefit from Deploying Customer Analytics?," Journal of Retailing, Elsevier, vol. 90(4), pages 587-593.
  16. 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.
  17. Timothy J. Gilbride & Greg M. Allenby, 2006. "Estimating Heterogeneous EBA and Economic Screening Rule Choice Models," Marketing Science, INFORMS, vol. 25(5), pages 494-509, September.
  18. 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.
  19. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
  20. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
  21. Thales S. Teixeira & Michel Wedel & Rik Pieters, 2010. "Moment-to-Moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing," Marketing Science, INFORMS, vol. 29(5), pages 783-804, 09-10.
  22. Block, Joern H. & Jaskiewicz, Peter & Miller, Danny, 2011. "Ownership versus management effects on performance in family and founder companies: A Bayesian reconciliation," Journal of Family Business Strategy, Elsevier, vol. 2(4), pages 232-245.
  23. Robert P. Rooderkerk & Nicole DeHoratius & Andrés Musalem, 2022. "The past, present, and future of retail analytics: Insights from a survey of academic research and interviews with practitioners," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3727-3748, October.
  24. Rick L. Andrews & Andrew Ainslie & Imran S. Currim, 2008. "On the Recoverability of Choice Behaviors with Random Coefficients Choice Models in the Context of Limited Data and Unobserved Effects," Management Science, INFORMS, vol. 54(1), pages 83-99, January.
  25. Georgarakis, Elena & Bauwens, Thomas & Pronk, Anne-Marie & AlSkaif, Tarek, 2021. "Keep it green, simple and socially fair: A choice experiment on prosumers’ preferences for peer-to-peer electricity trading in the Netherlands," Energy Policy, Elsevier, vol. 159(C).
  26. Anja Dieckmann & Katrin Dippold & Holger Dietrich, 2009. "Compensatory versus noncompensatory models for predicting consumer preferences," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(3), pages 200-213, April.
  27. Timothy Gilbride & Sha Yang & Greg Allenby, 2005. "Modeling Simultaneity in Survey Data," Quantitative Marketing and Economics (QME), Springer, vol. 3(4), pages 311-335, December.
  28. 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.
  29. Friebe, Christian A. & Flotow, Paschen von & Täube, Florian A., 2013. "Exploring the link between products and services in low-income markets—Evidence from solar home systems," Energy Policy, Elsevier, vol. 52(C), pages 760-769.
  30. Jorge Silva-Risso & Irina Ionova, 2008. "—A Nested Logit Model of Product and Transaction-Type Choice for Planning Automakers' Pricing and Promotions," Marketing Science, INFORMS, vol. 27(4), pages 545-566, 07-08.
  31. Rust, Roland T. & Espinoza, Francine, 2006. "How technology advances influence business research and marketing strategy," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1072-1078, October.
  32. Jorge Silva-Risso & William V. Shearin & Irina Ionova & Alexei Khavaev & Deirdre Borrego, 2008. "Chrysler and J. D. Power: Pioneering Scientific Price Customization in the Automobile Industry," Interfaces, INFORMS, vol. 38(1), pages 26-39, February.
  33. Somayeh Moazeni & Boris Defourny & Monika J. Wilczak, 2020. "Sequential Learning in Designing Marketing Campaigns for Market Entry," Management Science, INFORMS, vol. 66(9), pages 4226-4245, September.
  34. Anindya Ghose & Sha Yang, 2007. "An Empirical Analysis of Search Engine Advertising: Sponsored Search and Cross-Selling in Electronic Markets," Working Papers 07-35, NET Institute, revised Sep 2007.
  35. Dimitris Bertsimas & Velibor V. Mišić, 2017. "Robust Product Line Design," Operations Research, INFORMS, vol. 65(1), pages 19-37, February.
  36. Loock, Moritz, 2012. "Going beyond best technology and lowest price: on renewable energy investors’ preference for service-driven business models," Energy Policy, Elsevier, vol. 40(C), pages 21-27.
  37. Siqueira, Jose Ribamar & ter Horst, Enrique & Molina, German & Losada, Mauricio & Mateus, Marelby Amado, 2020. "A Bayesian examination of the relationship of internal and external touchpoints in the customer experience process across various service environments," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
  38. Alok R. Saboo & Rajdeep Grewal, 2013. "Stock Market Reactions to Customer and Competitor Orientations: The Case of Initial Public Offerings," Marketing Science, INFORMS, vol. 32(1), pages 70-88, October.
  39. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.
  40. 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.
  41. Samdruk Dharshing & Stefanie Lena Hille, 2017. "The Energy Paradox Revisited: Analyzing the Role of Individual Differences and Framing Effects in Information Perception," Journal of Consumer Policy, Springer, vol. 40(4), pages 485-508, December.
  42. 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.
  43. Ralf van der Lans & Joseph A. Cote & Catherine A. Cole & Siew Meng Leong & Ale Smidts & Pamela W. Henderson & Christian Bluemelhuber & Paul A. Bottomley & John R. Doyle & Alexander Fedorikhin & Janaki, 2009. "Cross-National Logo Evaluation Analysis: An Individual-Level Approach," Marketing Science, INFORMS, vol. 28(5), pages 968-985, 09-10.
    • van der Lans, R.J.A. & Cote, J.A. & Cole, C.A. & Leong, S.M. & Smidts, A. & Henderson, P.W. & Bluemelhuber, C. & Bottomley, P.A. & Doyle, J.R. & Fedorikhin, A.S. & Janakiraman, M. & Ramaseshan, B. & S, 2008. "Cross-National Logo Evaluation Analysis: An Individual Level Approach," ERIM Report Series Research in Management ERS-2008-055-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  44. Tabi, Andrea & Hille, Stefanie Lena & Wüstenhagen, Rolf, 2014. "What makes people seal the green power deal? — Customer segmentation based on choice experiment in Germany," Ecological Economics, Elsevier, vol. 107(C), pages 206-215.
  45. Peter J. Danaher & Michael S. Smith, 2011. "Modeling Multivariate Distributions Using Copulas: Applications in Marketing," Marketing Science, INFORMS, vol. 30(1), pages 4-21, 01-02.
  46. Sharad Borle & Siddharth Singh & Dipak Jain & Ashutosh Patil, 2016. "Analyzing Recurrent Customer Purchases and Unobserved Defections: a Bayesian Data Augmentation Scheme," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(1), pages 11-28, March.
  47. Olivier Toubia & Jacob Goldenberg & Rosanna Garcia, 2014. "Improving Penetration Forecasts Using Social Interactions Data," Management Science, INFORMS, vol. 60(12), pages 3049-3066, December.
  48. Pancras, Joseph & Gauri, Dinesh K. & Talukdar, Debabrata, 2013. "Loss leaders and cross-category retailer pass-through: A Bayesian multilevel analysis," Journal of Retailing, Elsevier, vol. 89(2), pages 140-157.
  49. Bruno Jacobs & Dennis Fok & Bas Donkers, 2021. "Understanding Large-Scale Dynamic Purchase Behavior," Marketing Science, INFORMS, vol. 40(5), pages 844-870, September.
  50. Gaurav Sabnis & Rajdeep Grewal, 2015. "Cable News Wars on the Internet: Competition and User-Generated Content," Information Systems Research, INFORMS, vol. 26(2), pages 301-319, June.
  51. Kwak, Kyuseop & Wang, Paul & Louviere, Jordan J., 2016. "A novel approach to detect attribute by covariate interactions in discrete choice models," Journal of choice modelling, Elsevier, vol. 21(C), pages 42-47.
  52. Botta, Enrico, 2019. "An experimental approach to climate finance: the impact of auction design and policy uncertainty on renewable energy equity costs in Europe," Energy Policy, Elsevier, vol. 133(C).
  53. Murthi, B.P.S. & Rao, Ram C., 2012. "Price Awareness and Consumers’ Use of Deals in Brand Choice," Journal of Retailing, Elsevier, vol. 88(1), pages 34-46.
  54. Dimitris Bertsimas & Velibor V. Mišić, 2017. "Robust Product Line Design," Operations Research, INFORMS, vol. 65(1), pages 19-37, February.
  55. Roland T. Rust & Peter C. Verhoef, 2005. "Optimizing the Marketing Interventions Mix in Intermediate-Term CRM," Marketing Science, INFORMS, vol. 24(3), pages 477-489, December.
  56. Moon, Sungho & Kim, Youngwoo & Kim, Minsang & Lee, Jongsu, 2023. "Policy designs to increase public and local acceptance for energy transition in South Korea," Energy Policy, Elsevier, vol. 182(C).
  57. Grosso, Monica & Castaldo, Sandro & Li, Hua (Ariel) & Larivière, Bart, 2020. "What Information Do Shoppers Share? The Effect of Personnel-, Retailer-, and Country-Trust on Willingness to Share Information," Journal of Retailing, Elsevier, vol. 96(4), pages 524-547.
  58. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
  59. Anindya Ghose & Sha Yang, 2009. "An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets," Management Science, INFORMS, vol. 55(10), pages 1605-1622, October.
  60. Hein, Maren & Kurz, Peter & Steiner, Winfried J., 2019. "On the effect of HB covariance matrix prior settings: A simulation study," Journal of choice modelling, Elsevier, vol. 31(C), pages 51-72.
  61. Oded Netzer & James M. Lattin & V. Srinivasan, 2008. "A Hidden Markov Model of Customer Relationship Dynamics," Marketing Science, INFORMS, vol. 27(2), pages 185-204, 03-04.
  62. Mengelkamp, Esther & Schönland, Thomas & Huber, Julian & Weinhardt, Christof, 2019. "The value of local electricity - A choice experiment among German residential customers," Energy Policy, Elsevier, vol. 130(C), pages 294-303.
  63. Norris I. Bruce, 2008. "Pooling and Dynamic Forgetting Effects in Multitheme Advertising: Tracking the Advertising Sales Relationship with Particle Filters," Marketing Science, INFORMS, vol. 27(4), pages 659-673, 07-08.
  64. Mahmoodi, Jasmin & Prasanna, Ashreeta & Hille, Stefanie & Patel, Martin K. & Brosch, Tobias, 2018. "Combining “carrot and stick” to incentivize sustainability in households," Energy Policy, Elsevier, vol. 123(C), pages 31-40.
  65. Nepelski, Daniel, 2010. "Competition and Innovation: ICT- and non-ICT-enabled Product and Process Innovations," MPRA Paper 26243, University Library of Munich, Germany.
  66. Stefanie Lena Heinzle & Rolf Wüstenhagen, 2012. "Dynamic Adjustment of Eco‐labeling Schemes and Consumer Choice – the Revision of the EU Energy Label as a Missed Opportunity?," Business Strategy and the Environment, Wiley Blackwell, vol. 21(1), pages 60-70, January.
  67. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
  68. Seyed Morteza Emadi, 2024. "Testing the Exogeneity of Instrumental Variables and Regressors in Linear Regression Models Using Copulas," Papers 2401.15253, arXiv.org.
  69. Kathleen Jacobs & Jacob Hörisch, 2022. "The importance of product lifetime labelling for purchase decisions: Strategic implications for corporate sustainability based on a conjoint analysis in Germany," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1275-1291, May.
  70. Daniel Zantedeschi & Eleanor McDonnell Feit & Eric T. Bradlow, 2017. "Measuring Multichannel Advertising Response," Management Science, INFORMS, vol. 63(8), pages 2706-2728, August.
  71. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2014. "Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue," Management Science, INFORMS, vol. 60(7), pages 1632-1654, July.
  72. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
  73. Nitin Mehta & Xinlei (Jack) Chen & Om Narasimhan, 2010. "Examining Demand Elasticities in Hanemann's Framework: A Theoretical and Empirical Analysis," Marketing Science, INFORMS, vol. 29(3), pages 422-437, 05-06.
  74. Wang, Luming & Finn, Adam, 2013. "Dual-faceted multidimensional IRT models with hierarchical structure," Australasian marketing journal, Elsevier, vol. 21(2), pages 111-118.
  75. Dong, Songting & Ding, Min & Grewal, Rajdeep & Zhao, Ping, 2011. "Functional forms of the satisfaction–loyalty relationship," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 38-50.
  76. Alina Ferecatu & Ayse Önçüler, 2016. "Heterogeneous risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 1-28, August.
  77. repec:cup:judgdm:v:4:y:2009:i:3:p:200-213 is not listed on IDEAS
  78. Subramanian Balachander & Bikram Ghosh, 2013. "Bayesian estimation of a simultaneous probit model using error augmentation: An application to multi-buying and churning behavior," Quantitative Marketing and Economics (QME), Springer, vol. 11(4), pages 437-458, December.
  79. Michael Braun & Paul Damien, 2016. "Scalable Rejection Sampling for Bayesian Hierarchical Models," Marketing Science, INFORMS, vol. 35(3), pages 427-444, May.
  80. Subramanian Balachander & Bikram Ghosh, 2013. "Bayesian estimation of a simultaneous probit model using error augmentation: An application to multi-buying and churning behavior," Quantitative Marketing and Economics (QME), Springer, vol. 11(4), pages 437-458, December.
  81. Stefanie Lena Heinzle & Augustin Boey Ying Yip & Melissa Low Yu Xing, 2013. "The Influence of Green Building Certification Schemes on Real Estate Investor Behaviour: Evidence from Singapore," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 1970-1987, August.
  82. Knauf, Jakob, 2022. "Can't buy me acceptance? Financial benefits for wind energy projects in Germany," Energy Policy, Elsevier, vol. 165(C).
  83. Anna-Liesa Lange & Philipp Otto, 2016. "Bayes’sche Statistik in der Dienstleistungsforschung [Bayesian statistics in service research]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(4), pages 247-267, December.
  84. Alex Burnap & John Hauser, 2018. "Predicting "Design Gaps" in the Market: Deep Consumer Choice Models under Probabilistic Design Constraints," Papers 1812.11067, arXiv.org.
  85. Choi, Tsan-Ming & Chow, Pui-Sze & Xiao, Tiaojun, 2012. "Electronic price-testing scheme for fashion retailing with information updating," International Journal of Production Economics, Elsevier, vol. 140(1), pages 396-406.
  86. Priessner, Alfons & Hampl, Nina, 2020. "Can product bundling increase the joint adoption of electric vehicles, solar panels and battery storage? Explorative evidence from a choice-based conjoint study in Austria," Ecological Economics, Elsevier, vol. 167(C).
  87. Joern, Block & Peter, Jaskiewicz & Danny, Miller, 2010. "Ownership versus Management Effects on Performance in Family and Founder Companies: A Bayesian Analysis," MPRA Paper 23526, University Library of Munich, Germany.
  88. Gael M. Martin & David T. Frazier & Christian P. Robert, 2021. "Approximating Bayes in the 21st Century," Monash Econometrics and Business Statistics Working Papers 24/21, Monash University, Department of Econometrics and Business Statistics.
  89. Chakravarty, Anindita & Liu, Yong & Mazumdar, Tridib, 2010. "The Differential Effects of Online Word-of-Mouth and Critics' Reviews on Pre-release Movie Evaluation," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 185-197.
  90. 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.
  91. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
  92. Steven M. Shugan, 2004. "Endogeneity in Marketing Decision Models," Marketing Science, INFORMS, vol. 23(1), pages 1-3.
  93. 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.
  94. Sharad Borle & Siddharth Shekhar Singh & Dipak C. Jain & Ashutosh Patil, 2016. "Analyzing Recurrent Customer Purchases and Unobserved Defections: a Bayesian Data Augmentation Scheme," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(1), pages 11-28, March.
  95. Sha Yang & Anindya Ghose, 2010. "Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence?," Marketing Science, INFORMS, vol. 29(4), pages 602-623, 07-08.
  96. Wang, Luming & Finn, Adam, 2014. "A psychometric theory that measures up to marketing reality: An adapted Many Faceted IRT model," Australasian marketing journal, Elsevier, vol. 22(2), pages 93-102.
  97. Marc R. Dotson & Joachim Büschken & Greg M. Allenby, 2020. "Explaining Preference Heterogeneity with Mixed Membership Modeling," Marketing Science, INFORMS, vol. 39(2), pages 407-426, March.
  98. Andrés Musalem & Marcelo Olivares & Eric T. Bradlow & Christian Terwiesch & Daniel Corsten, 2010. "Structural Estimation of the Effect of Out-of-Stocks," Management Science, INFORMS, vol. 56(7), pages 1180-1197, July.
  99. Yalcinkaya, Goksel & Aktekin, Tevfik & Yeniyurt, Sengun, 2020. "Out with the old: A Bayesian approach to estimating product modification rates," Journal of Business Research, Elsevier, vol. 118(C), pages 141-149.
  100. Goksel Yalcinkaya & Tevfik Aktekin & Sengun Yeniyurt & Setiadi Umar, 2017. "How often should a firm modify its products? A Bayesian analysis of automobile modification cycles," Marketing Letters, Springer, vol. 28(1), pages 85-97, March.
  101. Becker, Felix & Danaf, Mazen & Song, Xiang & Atasoy, Bilge & Ben-Akiva, Moshe, 2018. "Bayesian estimator for Logit Mixtures with inter- and intra-consumer heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 1-17.
  102. Lüthi, Sonja & Wüstenhagen, Rolf, 2012. "The price of policy risk — Empirical insights from choice experiments with European photovoltaic project developers," Energy Economics, Elsevier, vol. 34(4), pages 1001-1011.
  103. Block, Joern H. & Miller, Danny & Wagner, Dominik, 2014. "Bayesian methods in family business research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 97-104.
  104. Assaf, A. George & Tsionas, Mike & Oh, Haemoon, 2018. "The time has come: Toward Bayesian SEM estimation in tourism research," Tourism Management, Elsevier, vol. 64(C), pages 98-109.
  105. Nina Hampl & Moritz Loock, 2013. "Sustainable Development in Retailing: What is the Impact on Store Choice?," Business Strategy and the Environment, Wiley Blackwell, vol. 22(3), pages 202-216, March.
  106. Michael Platzer & Thomas Reutterer, 2016. "Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity," Marketing Science, INFORMS, vol. 35(5), pages 779-799, September.
  107. Wang, Xinfang (Jocelyn) & Curry, David J., 2012. "A robust approach to the share-of-choice product design problem," Omega, Elsevier, vol. 40(6), pages 818-826.
  108. Peter Jarnebrant & Olivier Toubia & Eric Johnson, 2009. "The Silver Lining Effect: Formal Analysis and Experiments," Management Science, INFORMS, vol. 55(11), pages 1832-1841, November.
  109. 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.
  110. Steven M. Shugan, 2003. "Editorial: Journal Rankings: Save the Outlets for Your Research," Marketing Science, INFORMS, vol. 22(4), pages 437-441.
  111. Stefanie Heinzle, 2012. "Disclosure of Energy Operating Cost Information: A Silver Bullet for Overcoming the Energy-Efficiency Gap?," Journal of Consumer Policy, Springer, vol. 35(1), pages 43-64, March.
  112. Tuck Siong Chung & Roland T. Rust & Michel Wedel, 2009. "My Mobile Music: An Adaptive Personalization System for Digital Audio Players," Marketing Science, INFORMS, vol. 28(1), pages 52-68, 01-02.
  113. Carl F. Mela, 2011. "Structural Workshop Paper --Data Selection and Procurement," Marketing Science, INFORMS, vol. 30(6), pages 965-976, November.
  114. Eric T. Bradlow, 2008. "—The Scientific Process at Its Best," Marketing Science, INFORMS, vol. 27(3), pages 323-323, 05-06.
  115. Ken Roberts & John H. Roberts & Peter J. Danaher & Rohan Raghavan, 2015. "Practice Prize Paper—Incorporating Emotions into Evaluation and Choice Models: Application to Kmart Australia," Marketing Science, INFORMS, vol. 34(6), pages 815-824, November.
  116. Sharad Borle & Siddharth S. Singh & Dipak C. Jain, 2008. "Customer Lifetime Value Measurement," Management Science, INFORMS, vol. 54(1), pages 100-112, January.
  117. Rik Pieters & Michel Wedel & Jie Zhang, 2007. "Optimal Feature Advertising Design Under Competitive Clutter," Management Science, INFORMS, vol. 53(11), pages 1815-1828, November.
  118. Lüthi, Sonja & Prässler, Thomas, 2011. "Analyzing policy support instruments and regulatory risk factors for wind energy deployment--A developers' perspective," Energy Policy, Elsevier, vol. 39(9), pages 4876-4892, September.
  119. Olivier Toubia & Martijn G. de Jong & Daniel Stieger & Johann Füller, 2012. "Measuring Consumer Preferences Using Conjoint Poker," Marketing Science, INFORMS, vol. 31(1), pages 138-156, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.