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Peter J. Danaher

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. Rub'en Loaiza-Maya & Michael Stanley Smith & David J. Nott & Peter J. Danaher, 2020. "Fast and Accurate Variational Inference for Models with Many Latent Variables," Papers 2005.07430, arXiv.org, revised Apr 2021.

    Cited by:

    1. Ruben Loaiza-Maya & Didier Nibbering & Dan Zhu, 2023. "Hybrid unadjusted Langevin methods for high-dimensional latent variable models," Papers 2306.14445, arXiv.org.
    2. Joshua C. C. Chan & Xuewen Yu, 2022. "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Papers 2206.08438, arXiv.org.
    3. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2023. "Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage," International Journal of Forecasting, Elsevier, vol. 39(1), pages 346-363.
    4. David T. Frazier & Gael M. Martin & Ruben Loaiza-Maya, 2022. "Variational Bayes in State Space Models: Inferential and Predictive Accuracy," Monash Econometrics and Business Statistics Working Papers 1/22, Monash University, Department of Econometrics and Business Statistics.
    5. Rub'en Loaiza-Maya & Didier Nibbering, 2022. "Fast variational Bayes methods for multinomial probit models," Papers 2202.12495, arXiv.org, revised Oct 2022.
    6. Deborah Gefang & Stephen G. Hall & George S. Tavlas, 2022. "Fast Two-Stage Variational Bayesian Approach to Estimating Panel Spatial Autoregressive Models with Unrestricted Spatial Weights Matrices," Papers 2205.15420, arXiv.org, revised Aug 2023.
    7. Chaya Weerasinghe & Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier, 2023. "ABC-based Forecasting in State Space Models," Monash Econometrics and Business Statistics Working Papers 12/23, Monash University, Department of Econometrics and Business Statistics.
    8. 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.
    9. 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.
    10. Rub'en Loaiza-Maya & Didier Nibbering, 2022. "Efficient variational approximations for state space models," Papers 2210.11010, arXiv.org, revised Jun 2023.
    11. Lin Deng & Michael Stanley Smith & Worapree Maneesoonthorn, 2023. "Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns," Papers 2308.05564, arXiv.org, revised Mar 2024.
    12. 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.

  2. Anastasios Panagiotelis & Michael S. Smith & Peter J Danaher, 2013. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence and Visit Behavior," Monash Econometrics and Business Statistics Working Papers 5/13, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Jian Huang & Qinyu Chen & Chengqing Yu, 2022. "A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    2. Junming Liu & Weiwei Chen & Jingyuan Yang & Hui Xiong & Can Chen, 2022. "Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 769-789, March.
    3. Panagiotelis, Anastasios & Czado, Claudia & Joe, Harry & Stöber, Jakob, 2017. "Model selection for discrete regular vine copulas," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 138-152.

  3. Laoucine Kerbache & Peter J. Danaher & Lee Janghyuk, 2010. "Optimal Internet Media Selection," Post-Print hal-00521805, HAL.

    Cited by:

    1. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
    2. Thomas Niemand & Sascha Kraus & Sophia Mather & Antonio C. Cuenca-Ballester, 0. "Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-26.
    3. Rik Pieters & Michel Wedel, 2012. "Ad Gist: Ad Communication in a Single Eye Fixation," Marketing Science, INFORMS, vol. 31(1), pages 59-73, January.
    4. Alex Jiyoung Kim & Subramanian Balachander, 2023. "Coordinating traditional media advertising and online advertising in brand marketing," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1865-1879, June.
    5. Amit Bhatnagar & Arun Sen & Atish P. Sinha, 2017. "Providing a Window of Opportunity for Converting eStore Visitors," Information Systems Research, INFORMS, vol. 28(1), pages 22-32, March.
    6. Konrad, Renata A., 2019. "Designing awareness campaigns to counter human trafficking: An analytic approach," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 86-93.
    7. Parham Fami Tafreshi & Mohammad Hasan Aghdaie & Majid Behzadian & Mahdieh Ghani Abadi, 2016. "Developing a Group Decision Support System for Advertising Media Evaluation: A Case in the Middle East," Group Decision and Negotiation, Springer, vol. 25(5), pages 1021-1048, September.
    8. Liberali, G. & Urban, G.L. & Dellaert, B.G.C. & Tucker, C. & Bart, Y. & Stremersch, S., 2016. "A New Method of Measuring Online Media Advertising Effectiveness: Prospective Meta-Analysis in Marketing," ERIM Report Series Research in Management ERS-2016-007-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.
    9. Thomas Niemand & Sascha Kraus & Sophia Mather & Antonio C. Cuenca-Ballester, 2020. "Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1367-1392, December.
    10. Shinjini Pandey & Goutam Dutta & Harit Joshi, 2017. "Survey on Revenue Management in Media and Broadcasting," Interfaces, INFORMS, vol. 47(3), pages 195-213, June.
    11. Shreyas Sekar & Milan Vojnovic & Se-Young Yun, 2021. "A Test Score-Based Approach to Stochastic Submodular Optimization," Management Science, INFORMS, vol. 67(2), pages 1075-1092, February.

Articles

  1. Loaiza-Maya, Rubén & Smith, Michael Stanley & Nott, David J. & Danaher, Peter J., 2022. "Fast and accurate variational inference for models with many latent variables," Journal of Econometrics, Elsevier, vol. 230(2), pages 339-362.
    See citations under working paper version above.
  2. Danaher, Peter J. & Sajtos, Laszlo & Danaher, Tracey S., 2020. "Tactical use of rewards to enhance loyalty program effectiveness," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 505-520.

    Cited by:

    1. Gabel, Sebastian & Guhl, Daniel, 2022. "Comparing the effectiveness of rewards and individually targeted coupons in loyalty programs," Journal of Retailing, Elsevier, vol. 98(3), pages 395-411.
    2. Bombaij, Nick, 2021. "Effectiveness of loyalty programs," Other publications TiSEM 095c506d-5b5c-4ea3-9b41-a, Tilburg University, School of Economics and Management.
    3. Stourm, Valeria & Bradlow, Eric T., 2023. "Cross-reward effects in a coalition loyalty program: The impact of a point currency devaluation," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 276-293.
    4. Tamaddoni, Ali & Seenivasan, Satheesh & Pallant, Jason I. & Skiera, Bernd, 2023. "Investigating the effect of status changes in review platforms," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 189-209.
    5. Dariusz Dudek & Marcin Lipowski & Ilona Bondos, 2021. "Changing Energy Supplier on the Market with a Strong Position of Incumbent Suppliers—Polish Example," Energies, MDPI, vol. 14(13), pages 1-16, June.
    6. Bombaij, Nick J.F. & Gelper, Sarah & Dekimpe, Marnik G., 2022. "Designing successful temporary loyalty programs: An exploratory study on retailer and country differences," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1275-1295.
    7. Alina Nastasoiu & Neil T. Bendle & Charan K. Bagga & Mark Vandenbosch & Salvador Navarro, 2021. "Separating customer heterogeneity, points pressure and rewarded behavior to assess a retail loyalty program," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1132-1150, November.
    8. Bies, Suzanne M.T.A. & Bronnenberg, Bart J. & Gijsbrechts, Els, 2021. "How push messaging impacts consumer spending and reward redemption in store-loyalty programs," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 877-899.
    9. Bies, Suzanne, 2022. "Examining the effectiveness of activation techniques on consumer behavior in temporary loyalty programs," Other publications TiSEM ade86df3-4846-4318-938f-a, Tilburg University, School of Economics and Management.

  3. Pallant, Jason I. & Danaher, Peter J. & Sands, Sean J. & Danaher, Tracey S., 2017. "An empirical analysis of factors that influence retail website visit types," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 62-70.

    Cited by:

    1. Aversa, Joseph & Hernandez, Tony & Doherty, Sean, 2021. "Incorporating big data within retail organizations: A case study approach," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    2. Franz Hackl & Rudolf Winter-Ebmer, 2020. "Customer reactions to a webshop’s service quality," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 699-731, November.
    3. Chatpong Tangmanee, 2019. "An Empirical Analysis of the Pageview and Visit Duration of Pornography Websites," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(3), pages 72-82, May.
    4. Aleti, Torgeir & Pallant, Jason I. & Tuan, Annamaria & van Laer, Tom, 2019. "Tweeting with the Stars: Automated Text Analysis of the Effect of Celebrity Social Media Communications on Consumer Word of Mouth," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 17-32.

  4. Ferraro, Carla R. & Danaher, Tracey S. & Danaher, Peter J. & Sands, Sean J., 2017. "The Magnitude of Change Effect in Store Remodeling," Journal of Retailing, Elsevier, vol. 93(4), pages 440-457.

    Cited by:

    1. Batat, Wided, 2021. "How augmented reality (AR) is transforming the restaurant sector: Investigating the impact of “Le Petit Chef” on customers’ dining experiences," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    2. Els Breugelmans & Marleen Hermans & Manfred Krafft & Mirja Kroschke & Felix Lehmkuhle & Murali Mantrala, 2024. "What is happening to my nearby stores? The own- and cross-effect of a radical store transformation on existing customers," Journal of the Academy of Marketing Science, Springer, vol. 52(1), pages 217-238, January.

  5. Danaher, Peter J. & Sajtos, Laszlo & Danaher, Tracey S., 2016. "Does the reward match the effort for loyalty program members?," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 23-31.

    Cited by:

    1. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    2. Meyer-Waarden, Lars & Bruwer, Johan & Galan, Jean-Philippe, 2023. "Loyalty programs, loyalty engagement and customer engagement with the company brand: Consumer-centric behavioral psychology insights from three industries," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    3. Ioannis ANTONIADIS & Stamatis KONTSAS & Konstantinos SPINTHIROPOULOS, 2019. "Blockchain and Brand Loyalty Programs: A Short Review of Applications and Challenges," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 5(1), pages 8-16, November.
    4. Lin, Chen & Bowman, Douglas, 2022. "The impact of introducing a customer loyalty program on category sales and profitability," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    5. Hu, Xin & He, Liuyi & Liu, Junjun, 2022. "Status reinforcing: Unintended rating bias on online shopping platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    6. Hsin Hsin Chang & Kit Hong Wong, 2018. "Consumer psychological reactance to coalition loyalty program: price-consciousness as a moderator," Service Business, Springer;Pan-Pacific Business Association, vol. 12(2), pages 379-402, June.
    7. Ricardo Montoya & Constanza Flores, 2019. "Buying free rewards: the impact of a points-plus-cash promotion on purchase and reward redemption," Marketing Letters, Springer, vol. 30(1), pages 107-118, March.

  6. 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.

    Cited by:

    1. Schwenzow, Jasper & Hartmann, Jochen & Schikowsky, Amos & Heitmann, Mark, 2021. "Understanding videos at scale: How to extract insights for business research," Journal of Business Research, Elsevier, vol. 123(C), pages 367-379.
    2. Yanju Zhou & Yi Yu & Xiaohong Chen & Xiongwei Zhou, 2020. "Guanxi or Justice? An Empirical Study of WeChat Voting," Journal of Business Ethics, Springer, vol. 164(1), pages 201-225, June.
    3. Keller, Kristopher O. & Dekimpe, Marnik G. & Geyskens, Inge, 2022. "Adding budget and premium private labels to standard private labels: Established empirical generalizations, emerging empirical insights, and future research," Journal of Retailing, Elsevier, vol. 98(1), pages 5-23.

  7. Anastasios Panagiotelis & Michael S. Smith & Peter J. Danaher, 2014. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence, and Visit Behavior," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 14-29, January.
    See citations under working paper version above.
  8. Danaher, Peter & Dagger, Tracey, 2012. "Using a nested logit model to forecast television ratings," International Journal of Forecasting, Elsevier, vol. 28(3), pages 607-622.

    Cited by:

    1. Song, Lianlian & Shi, Yang & Tso, Geoffrey Kwok Fai & Lo, Hing Po, 2021. "Forecasting week-to-week television ratings using reduced-form and structural dynamic models," International Journal of Forecasting, Elsevier, vol. 37(1), pages 302-321.
    2. Van Reeth, Daam, 2019. "Forecasting Tour de France TV audiences: A multi-country analysis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 810-821.

  9. 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.

    Cited by:

    1. Göran Kauermann & Christian Schellhase & David Ruppert, 2013. "Flexible Copula Density Estimation with Penalized Hierarchical B-splines," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 685-705, December.
    2. David A. Schweidel & George Knox, 2013. "Incorporating Direct Marketing Activity into Latent Attrition Models," Marketing Science, INFORMS, vol. 32(3), pages 471-487, May.
    3. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    4. Ceballos, Francisco, 2016. "Estimating spatial basis risk in rainfall index insurance: Methodology and application to excess rainfall insurance in Uruguay," IFPRI discussion papers 1595, International Food Policy Research Institute (IFPRI).
    5. Marta Disegna & Fabrizio Durante & Enrico Foscolo, 2013. "A multivariate nonlinear analysis of tourism expenditures," BEMPS - Bozen Economics & Management Paper Series BEMPS10, Faculty of Economics and Management at the Free University of Bozen.
    6. Göran Kauermann & Renate Meyer, 2014. "Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas," Computational Statistics, Springer, vol. 29(1), pages 283-306, February.
    7. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    8. Vinit Kumar Mishra & Karthik Natarajan & Dhanesh Padmanabhan & Chung-Piaw Teo & Xiaobo Li, 2014. "On Theoretical and Empirical Aspects of Marginal Distribution Choice Models," Management Science, INFORMS, vol. 60(6), pages 1511-1531, June.
    9. Lizhen Xu & Jason A. Duan & Andrew Whinston, 2014. "Path to Purchase: A Mutually Exciting Point Process Model for Online Advertising and Conversion," Management Science, INFORMS, vol. 60(6), pages 1392-1412, June.
    10. Ebrahimi, Nader & Jalali, Nima Y. & Soofi, Ehsan S., 2014. "Comparison, utility, and partition of dependence under absolutely continuous and singular distributions," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 32-50.
    11. Yang Yu & Edward C. Jaenicke, 2020. "Estimating Food Waste as Household Production Inefficiency," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 525-547, March.
    12. Poornima Unnikrishnan & Kumaraswamy Ponnambalam & Nirupama Agrawal & Fakhri Karray, 2023. "Joint Flood Risks in the Grand River Watershed," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    13. Banciu, M. & Ødegaard, F., 2016. "Optimal product bundling with dependent valuations: The price of independence," European Journal of Operational Research, Elsevier, vol. 255(2), pages 481-495.
    14. Jalan, Akanksha & Matkovskyy, Roman & Yarovaya, Larisa, 2021. "“Shiny” crypto assets: A systemic look at gold-backed cryptocurrencies during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 78(C).
    15. Eckert, C. & J. Hohberger (Jan) & Franses, Ph.H.B.F., 2022. "Gaussian Copula Regression in the Presence of Thresholds," Econometric Institute Research Papers 2022-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    17. Zhang, Shulin & Okhrin, Ostap & Zhou, Qian M. & Song, Peter X.-K., 2016. "Goodness-of-fit test for specification of semiparametric copula dependence models," Journal of Econometrics, Elsevier, vol. 193(1), pages 215-233.
    18. Karthik Sridhar & Ashish Kumar & Ram Bezawada, 2022. "Investigating cross-media effects in a multichannel marketing environment: the role of email, catalog, television, and radio," Marketing Letters, Springer, vol. 33(2), pages 189-201, June.
    19. Friberg, Richard & Huse, Cristian, 2012. "How to use demand systems to evaluate risky projects, with an application to automobile production," MPRA Paper 48906, University Library of Munich, Germany.
    20. Anas Abdallah & Lan Wang, 2023. "Rank-Based Multivariate Sarmanov for Modeling Dependence between Loss Reserves," Risks, MDPI, vol. 11(11), pages 1-37, October.
    21. Tran, Kien C. & Tsionas, Efthymios G., 2015. "Endogeneity in stochastic frontier models: Copula approach without external instruments," Economics Letters, Elsevier, vol. 133(C), pages 85-88.
    22. Valter Afonso Vieira & Marcos Inácio Severo Almeida & Raj Agnihotri & Nôga Simões De Arruda Corrêa Silva & S. Arunachalam, 2019. "In pursuit of an effective B2B digital marketing strategy in an emerging market," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1085-1108, November.
    23. Minha Hwang & Sungho Park, 2016. "The Impact of Walmart Supercenter Conversion on Consumer Shopping Behavior," Management Science, INFORMS, vol. 62(3), pages 817-828, March.
    24. Vernic, Raluca, 2018. "On the evaluation of some multivariate compound distributions with Sarmanov’s counting distribution," Insurance: Mathematics and Economics, Elsevier, vol. 79(C), pages 184-193.
    25. Oliver J. Rutz & George F. Watson, 2019. "Endogeneity and marketing strategy research: an overview," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 479-498, May.
    26. Stöber, Jakob & Hong, Hyokyoung Grace & Czado, Claudia & Ghosh, Pulak, 2015. "Comorbidity of chronic diseases in the elderly: Patterns identified by a copula design for mixed responses," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 28-39.
    27. Rouven E. Haschka & Helmut Herwartz, 2022. "Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 942-960, November.
    28. Oliver J. Rutz & Michael Trusov, 2011. "Zooming In on Paid Search Ads--A Consumer-Level Model Calibrated on Aggregated Data," Marketing Science, INFORMS, vol. 30(5), pages 789-800, September.
    29. David A. Schweidel & Young-Hoon Park & Zainab Jamal, 2014. "A Multiactivity Latent Attrition Model for Customer Base Analysis," Marketing Science, INFORMS, vol. 33(2), pages 273-286, March.
    30. Peter J. Danaher & Michael S. Smith, 2011. "Rejoinder--Estimation Issues for Copulas Applied to Marketing Data," Marketing Science, INFORMS, vol. 30(1), pages 25-28, 01-02.
    31. Yang, Yang & Ignatavičiūtė, Eglė & Šiaulys, Jonas, 2015. "Conditional tail expectation of randomly weighted sums with heavy-tailed distributions," Statistics & Probability Letters, Elsevier, vol. 105(C), pages 20-28.
    32. Michael Trusov & Liye Ma & Zainab Jamal, 2016. "Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting," Marketing Science, INFORMS, vol. 35(3), pages 405-426, May.
    33. Nikolaos Englezos & Xanthi Kartala & Phoebe Koundouri & Mike Tsionas & Angelos Alamanos, 2021. "A Novel Hydro - Economic - Econometric Approach for Integrated Transboundary Water Management under Uncertainty," DEOS Working Papers 2101, Athens University of Economics and Business.
    34. Michael Stanley Smith, 2021. "Implicit Copulas: An Overview," Papers 2109.04718, arXiv.org.
    35. Glady, Nicolas & Lemmens, Aurélie & Croux, Christophe, 2015. "Unveiling the relationship between the transaction timing, spending and dropout behavior of customers," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 78-93.
    36. Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
    37. Edward I. George & Shane T. Jensen, 2011. "Commentary--A Latent Variable Perspective of Copula Modeling," Marketing Science, INFORMS, vol. 30(1), pages 22-24, 01-02.
    38. Smith, Michael S. & Kauermann, Göran, 2011. "Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1846-1862.
    39. Choudhary, Vidyanand & Currim, Imran & Dewan, Sanjeev & Jeliazkov, Ivan & Mintz, Ofer & Turner, John, 2017. "Evaluation Set Size and Purchase: Evidence from a Product Search Engine," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 16-31.
    40. Smith, Michael Stanley, 2023. "Implicit Copulas: An Overview," Econometrics and Statistics, Elsevier, vol. 28(C), pages 81-104.
    41. Emilio Gómez-Déniz & Jorge Pérez-Rodríguez, 2015. "Closed-form solution for a bivariate distribution in stochastic frontier models with dependent errors," Journal of Productivity Analysis, Springer, vol. 43(2), pages 215-223, April.
    42. Rebecca Graziani & Sergio Venturini, 2020. "A Bayesian approach to discrete multiple outcome network meta-analysis," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-17, April.
    43. Sanghak Lee & Greg M. Allenby, 2014. "Modeling Indivisible Demand," Marketing Science, INFORMS, vol. 33(3), pages 364-381, May.
    44. Abdallah, Anas & Boucher, Jean-Philippe & Cossette, Hélène, 2016. "Sarmanov family of multivariate distributions for bivariate dynamic claim counts model," Insurance: Mathematics and Economics, Elsevier, vol. 68(C), pages 120-133.
    45. Wieringa, Jaap & Kannan, P.K. & Ma, Xiao & Reutterer, Thomas & Risselada, Hans & Skiera, Bernd, 2021. "Data analytics in a privacy-concerned world," Journal of Business Research, Elsevier, vol. 122(C), pages 915-925.
    46. Amjad, Muhammad & Akbar, Muhammad & Ullah, Hamd, 2022. "A copula-based approach for creating an index of micronutrient intakes at household level in Pakistan," Economics & Human Biology, Elsevier, vol. 46(C).
    47. Mi Hyun Lee & Sang Pil Han & Sungho Park & Wonseok Oh, 2023. "Positive Demand Spillover of Popular App Adoption: Implications for Platform Owners’ Management of Complements," Information Systems Research, INFORMS, vol. 34(3), pages 961-995, September.
    48. Raluca Vernic, 2016. "On the Distribution of a Sum of Sarmanov Distributed Random Variables," Journal of Theoretical Probability, Springer, vol. 29(1), pages 118-142, March.

  10. Peter J. Danaher & John H. Roberts & Ken Roberts & Alan Simpson, 2011. "Practice Prize Paper --Applying a Dynamic Model of Consumer Choice to Guide Brand Development at Jetstar Airways," Marketing Science, INFORMS, vol. 30(4), pages 586-594, July.

    Cited by:

    1. Whyte, Randall & Lohmann, Gui, 2015. "The carrier-within-a-carrier strategy: An analysis of Jetstar," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 141-148.
    2. 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.

  11. Raghuram Iyengar & Kamel Jedidi & Skander Essegaier & Peter J. Danaher, 2011. "The Impact of Tariff Structure on Customer Retention, Usage, and Profitability of Access Services," Marketing Science, INFORMS, vol. 30(5), pages 820-836, September.

    Cited by:

    1. Bo Li & Subodha Kumar, 2022. "Managing Software‐as‐a‐Service: Pricing and operations," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2588-2608, June.
    2. Jin, Haofeng & Lu, Zhentong & Huang, Liqiang & Dou, Junsheng, 2021. "Not too much nor too little: Salience bias in mobile plan choices," Telecommunications Policy, Elsevier, vol. 45(4).
    3. Tarek Abdallah, 2019. "On the Benefit (Or Cost) of Large‐Scale Bundling," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 955-969, April.
    4. Jin, Haofeng, 2022. "The effect of overspending on tariff choices and customer churn: Evidence from mobile plan choices," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Stephen G. Leider & Özge Sahin, 2012. "Contracts, Biases and Consumption of Access Services," CESifo Working Paper Series 3698, CESifo.
    6. Tianyuan Zhang & Sérgio Moro & Ricardo F. Ramos, 2022. "A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation," Future Internet, MDPI, vol. 14(3), pages 1-19, March.
    7. Zhuojun Gu & Ravi Bapna & Jason Chan & Alok Gupta, 2022. "Measuring the Impact of Crowdsourcing Features on Mobile App User Engagement and Retention: A Randomized Field Experiment," Management Science, INFORMS, vol. 68(2), pages 1297-1329, February.
    8. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    9. Brendan Cushing-Daniels, 2020. "Rethinking Profit-Maximization in Second-Degree Price Discriminating Markets," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(2), pages 223-235, June.
    10. Ricard Gil & Evsen Korkmaz & Ozge Sahin, 2020. "Can free-shipping hurt online retailers?," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 305-342, September.
    11. Dowling, Katharina & Manchanda, Puneet & Spann, Martin, 2021. "The existence and persistence of the pay-per-use bias in car sharing services," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 329-342.
    12. Katharina Dowling & Lucas Stich & Martin Spann, 2021. "An experimental analysis of overconfidence in tariff choice," Review of Managerial Science, Springer, vol. 15(8), pages 2275-2297, November.
    13. Ricard Gil & Evsen Korkmaz & Ozge Sahin, 2014. "Optimal Pricing of Access and Secondary Goods with Repeat Purchases: Evidence from Online Grocery Shopping and Delivery Fees," Working Papers 14-10, NET Institute.
    14. Preyas S. Desai & Devavrat Purohit & Bo Zhou, 2018. "Allowing Consumers to Bundle Themselves: The Profitability of Family Plans," Marketing Science, INFORMS, vol. 37(6), pages 953-969, November.
    15. Gerpott, Torsten J. & Meinert, Phil, 2018. "Termination notice of mobile network operator customers after a tariff switch: An empirical study of postpaid subscribers in Germany," Telecommunications Policy, Elsevier, vol. 42(3), pages 212-226.
    16. Anja Lambrecht & Katja Seim & Naufel Vilcassim & Amar Cheema & Yuxin Chen & Gregory Crawford & Kartik Hosanagar & Raghuram Iyengar & Oded Koenigsberg & Robin Lee & Eugenio Miravete & Ozge Sahin, 2012. "Price discrimination in service industries," Marketing Letters, Springer, vol. 23(2), pages 423-438, June.
    17. Kocaman, Barış & Gelper, Sarah & Langerak, Fred, 2023. "Till the cloud do us part: Technological disruption and brand retention in the enterprise software industry," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 316-341.
    18. Rutz, Oliver & Aravindakshan, Ashwin & Rubel, Olivier, 2019. "Measuring and forecasting mobile game app engagement," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 185-199.
    19. Yaxin Ming & Chenxi Li & Jing (Elaine) Chen, 2021. "Acquisition mode and credit card overspending behavior: An empirical analysis of the credit card industry," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(1), pages 232-253, March.

  12. Danaher, Peter J. & Dagger, Tracey S. & Smith, Michael S., 2011. "Forecasting television ratings," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1215-1240, October.

    Cited by:

    1. Aiste Ruseckaite & Dennis Fok & Peter Goos, 2016. "Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes," Tinbergen Institute Discussion Papers 16-075/III, Tinbergen Institute.
    2. Danaher, Peter & Dagger, Tracey, 2012. "Using a nested logit model to forecast television ratings," International Journal of Forecasting, Elsevier, vol. 28(3), pages 607-622.
    3. Olexiy Azarov & Leonid Krupelnitsky & Hanna Rakytyanska, 2018. "Television Rating Control in the Multichannel Environment Using Trend Fuzzy Knowledge Bases and Monitoring Results," Data, MDPI, vol. 3(4), pages 1-21, December.
    4. Mayukh Dass & Masoud Moradi & Fereshteh Zihagh, 2023. "Forecasting purchase rates of new products introduced in existing categories," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 385-408, September.
    5. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    6. Wang, Mingyan & Zeng, An & Cui, Xiaohua, 2022. "Collective user switching behavior reveals the influence of TV channels and their hidden community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    7. David A. Schweidel & Natasha Zhang Foutz & Robin J. Tanner, 2014. "Synergy or Interference: The Effect of Product Placement on Commercial Break Audience Decline," Marketing Science, INFORMS, vol. 33(6), pages 763-780, November.
    8. Song, Lianlian & Shi, Yang & Tso, Geoffrey Kwok Fai & Lo, Hing Po, 2021. "Forecasting week-to-week television ratings using reduced-form and structural dynamic models," International Journal of Forecasting, Elsevier, vol. 37(1), pages 302-321.
    9. Giwoong Bae & Hye-jin Kim, 2022. "The impact of online video highlights on TV audience ratings," Electronic Commerce Research, Springer, vol. 22(2), pages 405-425, June.
    10. Keita Kinjo & Shinya Sugawara, 2014. "An Empirical Analysis for a Case-based Decision to Watch Japanese TV dramas," CIRJE F-Series CIRJE-F-940, CIRJE, Faculty of Economics, University of Tokyo.
    11. José Antonio Carbajal & Peter Williams & Andreea Popescu & Wes Chaar, 2019. "Turner Blazes a Trail for Audience Targeting on Television with Operations Research and Advanced Analytics," Interfaces, INFORMS, vol. 49(1), pages 64-89, January.
    12. José Antonio Carbajal & Wes Chaar, 2017. "Turner Optimizes the Allocation of Audience Deficiency Units," Interfaces, INFORMS, vol. 47(6), pages 518-536, December.
    13. Van Reeth, Daam, 2019. "Forecasting Tour de France TV audiences: A multi-country analysis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 810-821.
    14. Alexandra Mello Schmidt & Dani Gamerman & Ajax Moreira, 1999. "An adaptive resampling scheme for cycle estimation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(5), pages 619-641.

  13. Peter J. Danaher & Janghyuk Lee & Laoucine Kerbache, 2010. "Optimal Internet Media Selection," Marketing Science, INFORMS, vol. 29(2), pages 336-347, 03-04.
    See citations under working paper version above.
  14. Peter J. Danaher, 2007. "Modeling Page Views Across Multiple Websites with an Application to Internet Reach and Frequency Prediction," Marketing Science, INFORMS, vol. 26(3), pages 422-437, 05-06.

    Cited by:

    1. Bucklin, Randolph E. & Sismeiro, Catarina, 2009. "Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 35-48.
    2. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
    3. Vinit Kumar Mishra & Karthik Natarajan & Dhanesh Padmanabhan & Chung-Piaw Teo & Xiaobo Li, 2014. "On Theoretical and Empirical Aspects of Marginal Distribution Choice Models," Management Science, INFORMS, vol. 60(6), pages 1511-1531, June.
    4. George, Lisa M. & Hogendorn, Christiaan, 2012. "Aggregators, search and the economics of new media institutions," Information Economics and Policy, Elsevier, vol. 24(1), pages 40-51.
    5. 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.
    6. 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.
    7. Sami Najafi-Asadolahi & Kristin Fridgeirsdottir, 2014. "Cost-per-Click Pricing for Display Advertising," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 482-497, October.
    8. Goh, Khim-Yong & Chu, Junhong & Wu, Jing, 2015. "Mobile Advertising: An Empirical Study of Temporal and Spatial Differences in Search Behavior and Advertising Response," Journal of Interactive Marketing, Elsevier, vol. 30(C), pages 34-45.
    9. Sahar Karimi, 2021. "Cross-visiting Behaviour of Online Consumers Across Retailers’ and Comparison Sites, a Macro-Study," Information Systems Frontiers, Springer, vol. 23(3), pages 531-542, June.
    10. Giang Trinh & Cam Rungie & Malcolm Wright & Carl Driesener & John Dawes, 2014. "Predicting future purchases with the Poisson log-normal model," Marketing Letters, Springer, vol. 25(2), pages 219-234, June.
    11. Kenneth C. Wilbur & Yi Zhu, 2009. "Click Fraud," Marketing Science, INFORMS, vol. 28(2), pages 293-308, 03-04.
    12. Roland T. Rust & Ming-Hui Huang, 2014. "The Service Revolution and the Transformation of Marketing Science," Marketing Science, INFORMS, vol. 33(2), pages 206-221, March.
    13. David A. Schweidel & Peter S. Fader & Eric T. Bradlow, 2008. "A Bivariate Timing Model of Customer Acquisition and Retention," Marketing Science, INFORMS, vol. 27(5), pages 829-843, 09-10.
    14. David A. Schweidel & Young-Hoon Park & Zainab Jamal, 2014. "A Multiactivity Latent Attrition Model for Customer Base Analysis," Marketing Science, INFORMS, vol. 33(2), pages 273-286, March.
    15. Laoucine Kerbache & Peter J. Danaher & Lee Janghyuk, 2010. "Optimal Internet Media Selection," Post-Print hal-00521805, HAL.
    16. Brenčič, Vera, 2014. "Search online: Evidence from acquisition of information on online job boards and resume banks," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 112-125.
    17. Michael Trusov & Liye Ma & Zainab Jamal, 2016. "Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting," Marketing Science, INFORMS, vol. 35(3), pages 405-426, May.
    18. Winer, Russell S., 2009. "New Communications Approaches in Marketing: Issues and Research Directions," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 108-117.
    19. Maarten C. W. Janssen & Marielle C. Non, 2009. "Going Where the Ad Leads You: On High Advertised Prices and Searching Where to Buy," Marketing Science, INFORMS, vol. 28(1), pages 87-98, 01-02.
    20. Glady, Nicolas & Lemmens, Aurélie & Croux, Christophe, 2015. "Unveiling the relationship between the transaction timing, spending and dropout behavior of customers," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 78-93.
    21. Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
    22. Jura Liaukonyte & Thales Teixeira & Kenneth C. Wilbur, 2015. "Television Advertising and Online Shopping," Marketing Science, INFORMS, vol. 34(3), pages 311-330, May.
    23. Park, Chang Hee, 2017. "Online Purchase Paths and Conversion Dynamics across Multiple Websites," Journal of Retailing, Elsevier, vol. 93(3), pages 253-265.

  15. Danaher, Peter J. & Hardie, Bruce G.S., 2005. "Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution," The American Statistician, American Statistical Association, vol. 59, pages 282-286, November.

    Cited by:

    1. Cho, Wendy K. Tam & Judge, George G., 2007. "Information theoretic solutions for correlated bivariate processes," Economics Letters, Elsevier, vol. 97(3), pages 201-207, December.
    2. André Bonfrer & Xavier Drèze, 2009. "Real-Time Evaluation of E-mail Campaign Performance," Marketing Science, INFORMS, vol. 28(2), pages 251-263, 03-04.
    3. 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.
    4. D. J. Best & J. C. W. Rayner & O. Thas, 2010. "Four tests of fit for the beta-binomial distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1547-1554.
    5. Luo, Sheng & Chen, Yong & Su, Xiao & Chu, Haitao, 2014. "mmeta: An R Package for Multivariate Meta-Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i11).
    6. David Peter Michael Scollnik, 2017. "Bayesian Inference for Three Bivariate Beta Binomial Models," The Open Statistics and Probability Journal, Bentham Open, vol. 8(1), pages 27-38, October.
    7. David A. Schweidel & Peter S. Fader & Eric T. Bradlow, 2008. "A Bivariate Timing Model of Customer Acquisition and Retention," Marketing Science, INFORMS, vol. 27(5), pages 829-843, 09-10.
    8. Peter S. Fader & Bruce G. S. Hardie & Jen Shang, 2010. "Customer-Base Analysis in a Discrete-Time Noncontractual Setting," Marketing Science, INFORMS, vol. 29(6), pages 1086-1108, 11-12.
    9. Laoucine Kerbache & Peter J. Danaher & Lee Janghyuk, 2010. "Optimal Internet Media Selection," Post-Print hal-00521805, HAL.
    10. Kim, Chul & Jun, Duk Bin & Park, Sungho, 2018. "Capturing flexible correlations in multiple-discrete choice outcomes using copulas," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 34-59.
    11. Glady, Nicolas & Lemmens, Aurélie & Croux, Christophe, 2015. "Unveiling the relationship between the transaction timing, spending and dropout behavior of customers," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 78-93.
    12. Olkin, Ingram & Trikalinos, Thomas A., 2015. "Constructions for a bivariate beta distribution," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 54-60.
    13. Emilio Gómez-Déniz & Jorge Pérez-Rodríguez, 2015. "Closed-form solution for a bivariate distribution in stochastic frontier models with dependent errors," Journal of Productivity Analysis, Springer, vol. 43(2), pages 215-223, April.
    14. Olivier Toubia & Laurent Florès, 2007. "Adaptive Idea Screening Using Consumers," Marketing Science, INFORMS, vol. 26(3), pages 342-360, 05-06.

  16. Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.

    Cited by:

    1. Alon Eizenberg, 2016. "Estimating the impact of interacting with sales representatives on customer-specific revenue and churn behavior," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 325-351, December.
    2. Liu, Kang Ernest & Shiu, Ji-Liang & Sun, Chia-Hung, 2013. "How different are consumers in Internet auction markets? Evidence from Japan and Taiwan," Japan and the World Economy, Elsevier, vol. 28(C), pages 1-12.
    3. Victor-George CONSTANTINESCU & Iuliana CONSTANTIN & Catalina Gabriela BELGIU CUREA, 2017. "Promotion Strategies in Online Marketing," Logos Universalitate Mentalitate Educatie Noutate - Sectiunea Stiinte Sociale/ Logos Universality Mentality Education Novelty - Section: Social Sciences, Editura Lumen, Department of Economics, vol. 6(1), pages 73-82, June.
    4. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    5. Jie Xu & Ming Gao & Yina Zhang, 2021. "The variations in individual consumption change and the substitution effect under the shock of COVID‐19: Evidence from payment system data in China," Growth and Change, Wiley Blackwell, vol. 52(2), pages 990-1010, June.
    6. Andrea Pozzi, 2013. "E-commerce as a Stockpiling Technology - Implications for Consumer Savings," EIEF Working Papers Series 1308, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2013.
    7. Hitesh Sood & Rajendra Prasad Sharma, 2021. "Customer Digital Engagement and Lifetime Value: An Empirical Study of Telecom Services in India," FIIB Business Review, , vol. 12(4), pages 415-424, December.
    8. Oksana Loginova, 2007. "Real and Virtual Competition," Working Papers 0715, Department of Economics, University of Missouri.
    9. Nenycz-Thiel, Magda & Beal, Virginia & Ludwichowska, Gosia & Romaniuk, Jenni, 2013. "Investigating the accuracy of self-reports of brand usage behavior," Journal of Business Research, Elsevier, vol. 66(2), pages 224-232.
    10. Tracy Wangechi Maina & Jackson Ndolo, 2019. "To Buy Online or Not? An Analysis of Online Consumer Decision Making," International Journal of Science and Business, IJSAB International, vol. 3(3), pages 135-140.
    11. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
    12. Davis, Robert & Smith, Sandra D. & Lang, Bodo U., 2017. "A comparison of online and offline gender and goal directed shopping online," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 118-125.
    13. Trinh, Giang & Dawes, John, 2020. "A comparison of brand loyalty between on the go and take-home consumption purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    14. Youngsoo Kim & Ramayya Krishnan, 2015. "On Product-Level Uncertainty and Online Purchase Behavior: An Empirical Analysis," Management Science, INFORMS, vol. 61(10), pages 2449-2467, October.
    15. Ailawadi, Kusum L. & Beauchamp, J.P. & Donthu, Naveen & Gauri, Dinesh K. & Shankar, Venkatesh, 2009. "Communication and Promotion Decisions in Retailing: A Review and Directions for Future Research," Journal of Retailing, Elsevier, vol. 85(1), pages 42-55.
    16. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
    17. Xianjin Tu & Victor Shi & Ming Zhang & Gangwu Lv, 2021. "The Impact of Residents’ Online Consumption on Offline Consumption—An Ordered Probit Semi-Parametric Estimation Method," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    18. Gauthier Casteran & Polymeros Chrysochou & Lars Meyer-Waarden, 2019. "Brand loyalty evolution and the impact of category characteristics," Marketing Letters, Springer, vol. 30(1), pages 57-73, March.
    19. J. Miguel Villas-Boas, 2004. "Consumer Learning, Brand Loyalty, and Competition," Marketing Science, INFORMS, vol. 23(1), pages 134-145, December.
    20. Savannah Wei Shi & Jie Zhang, 2014. "Usage Experience with Decision Aids and Evolution of Online Purchase Behavior," Marketing Science, INFORMS, vol. 33(6), pages 871-882, November.
    21. Scott Neslin & Kinshuk Jerath & Anand Bodapati & Eric Bradlow & John Deighton & Sonja Gensler & Leonard Lee & Elisa Montaguti & Rahul Telang & Raj Venkatesan & Peter Verhoef & Z. Zhang, 2014. "The interrelationships between brand and channel choice," Marketing Letters, Springer, vol. 25(3), pages 319-330, September.
    22. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    23. Davis, Robert & Sheriff, Kevin & Owen, Kim, 2019. "Conceptualising and measuring consumer authenticity online," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 17-31.
    24. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2013. "Comparing methods to separate treatment from self-selection effects in an online banking setting," Journal of Business Research, Elsevier, vol. 66(9), pages 1272-1278.
    25. Gielens, Katrijn & Steenkamp, Jan-Benedict E.M., 2019. "Branding in the era of digital (dis)intermediation," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 367-384.
    26. Kinshuk Jerath & Anuj Kumar & Serguei Netessine, 2015. "An Information Stock Model of Customer Behavior in Multichannel Customer Support Services," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 368-383, July.
    27. Verhagen, Tibert & Dolen, Willemijn van, 2007. "Explaining Online Purchase Intentions: A Multi-Channel Store Image Perspective," Serie Research Memoranda 0008, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    28. Steven M. Shugan, 2005. "Brand Loyalty Programs: Are They Shams?," Marketing Science, INFORMS, vol. 24(2), pages 185-193.
    29. Wang, Jessie J. & Lalwani, Ashok K. & DelVecchio, Devon, 2022. "The Impact of Power Distance Belief on Consumers' Brand Preferences," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 804-823.
    30. McClure, Clair & Seock, Yoo-Kyoung, 2020. "The role of involvement: Investigating the effect of brand's social media pages on consumer purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    31. Steven M. Shugan, 2004. "Endogeneity in Marketing Decision Models," Marketing Science, INFORMS, vol. 23(1), pages 1-3.
    32. Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
    33. Jung, Sang-Uk & Zhu, John & Gruca, Thomas S., 2016. "A meta-analysis of correlations between market share and other brand performance metrics in FMCG markets," Journal of Business Research, Elsevier, vol. 69(12), pages 5901-5908.
    34. Uncles, Mark D. & Kwok, Simon, 2009. "Patterns of store patronage in urban China," Journal of Business Research, Elsevier, vol. 62(1), pages 68-81, January.
    35. Steven M. Shugan, 2003. "Editorial: Journal Rankings: Save the Outlets for Your Research," Marketing Science, INFORMS, vol. 22(4), pages 437-441.
    36. Young Hou & Christopher W. Poliquin, 2023. "The effects of CEO activism: Partisan consumer behavior and its duration," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 672-703, March.
    37. Kumar, Avinash & Chakraborty, Shibashish & Bala, Pradip Kumar, 2023. "Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    38. Silvia Blasi & Lorenzo & Silvia Rita Sedita, 2019. "Eco-friendliness and fashion perceptual attributes of fashion brands: an analysis of consumers’ perceptions based on Twitter data," "Marco Fanno" Working Papers 0237, Dipartimento di Scienze Economiche "Marco Fanno".
    39. Nadja Silberhorn & Lutz Hildebrandt, 2012. "Does umbrella branding really work? Investigating cross-category brand loyalty," SFB 649 Discussion Papers SFB649DP2012-028, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    40. Anuj Kumar & Rahul Telang, 2012. "Does the Web Reduce Customer Service Cost? Empirical Evidence from a Call Center," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 721-737, September.
    41. Shen, Bin & Choi, Tsan-Ming & Chow, Pui-Sze, 2017. "Brand loyalties in designer luxury and fast fashion co-branding alliances," Journal of Business Research, Elsevier, vol. 81(C), pages 173-180.
    42. Chen, Jingxian & Liang, Liang & Yao, Dong-Qing & Sun, Shengnan, 2017. "Price and quality decisions in dual-channel supply chains," European Journal of Operational Research, Elsevier, vol. 259(3), pages 935-948.
    43. González-Benito, Óscar & Martos-Partal, Mercedes & San Martín, Sonia, 2015. "Brands as substitutes for the need for touch in online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 121-125.
    44. Zhiqiang (Eric) Zheng & Peter Fader & Balaji Padmanabhan, 2012. "From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 698-720, September.
    45. 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.
    46. Hui-Hsin HUANG, 2014. "Explorative Study on the Concept of Mind Shares: Confidence, Resistance and Loyalty," Expert Journal of Marketing, Sprint Investify, vol. 2(1), pages 15-27.
    47. Chu, Junhong & Arce-Urriza, Marta & Cebollada-Calvo, José-Javier & Chintagunta, Pradeep K., 2010. "An Empirical Analysis of Shopping Behavior Across Online and Offline Channels for Grocery Products: The Moderating Effects of Household and Product Characteristics," Journal of Interactive Marketing, Elsevier, vol. 24(4), pages 251-268.
    48. Riquelme, Isabel P. & Román, Sergio & Iacobucci, Dawn, 2016. "Consumers' Perceptions of Online and Offline Retailer Deception: A Moderated Mediation Analysis," Journal of Interactive Marketing, Elsevier, vol. 35(C), pages 16-26.
    49. Cebollada, Javier & Chu, Yanlai & Jiang, Zhiying, 2019. "Online Category Pricing at a Multichannel Grocery Retailer," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 52-69.
    50. H. Holly Wang & Yu Jiang & Shaosheng Jin & Qiujie Zheng, 2022. "New online market connecting Chinese consumers and small farms to improve food safety and environment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(4), pages 305-324, December.
    51. Pauwels, Koen & Leeflang, Peter S.H. & Teerling, Marije L. & Huizingh, K.R. Eelko, 2011. "Does Online Information Drive Offline Revenues?," Journal of Retailing, Elsevier, vol. 87(1), pages 1-17.
    52. Dawes, John, 2022. "Factors that influence manufacturer and store brand behavioral loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    53. Oksana Loginova, 2009. "Real And Virtual Competition," Journal of Industrial Economics, Wiley Blackwell, vol. 57(2), pages 319-342, June.
    54. Zhao, Lan & Nagurney, Anna, 2008. "A network equilibrium framework for Internet advertising: Models, qualitative analysis, and algorithms," European Journal of Operational Research, Elsevier, vol. 187(2), pages 456-472, June.
    55. Vaishnav, Bharat & Ray, Sourav, 2023. "A thematic exploration of the evolution of research in multichannel marketing," Journal of Business Research, Elsevier, vol. 157(C).
    56. Roland T. Rust & Tuck Siong Chung, 2006. "Marketing Models of Service and Relationships," Marketing Science, INFORMS, vol. 25(6), pages 560-580, 11-12.
    57. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2012. "Impact of online channel use on customer revenues and costs to serve: Considering product portfolios and self-selection," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 192-201.
    58. Rachel J.C. Chen, 2013. "How Can Stores Sustain Their Businesses? From Shopping Behaviors and Motivations to Environment Preferences," Sustainability, MDPI, vol. 5(2), pages 1-12, February.
    59. Onesun Steve Yoo & Rakesh Sarin, 2018. "Consumer Choice and Market Outcomes Under Ambiguity in Product Quality," Marketing Science, INFORMS, vol. 37(3), pages 445-468, May.
    60. Vipul Pare & John Dawes, 2012. "The persistence of excess brand loyalty over multiple years," Marketing Letters, Springer, vol. 23(1), pages 163-175, March.
    61. Habel, Cullen & Lockshin, Larry, 2013. "Realizing the value of extensive replication: A theoretically robust portrayal of double jeopardy," Journal of Business Research, Elsevier, vol. 66(9), pages 1448-1456.
    62. Pentina, Iryna & Pelton, Lou E. & Hasty, Ronald W., 2009. "Performance Implications of Online Entry Timing by Store-Based Retailers: A Longitudinal Investigation," Journal of Retailing, Elsevier, vol. 85(2), pages 177-193.
    63. Yunhui Huang & Kai H. Lim & Zhijie Lin & Shunping Han, 2019. "Large Online Product Catalog Space Indicates High Store Price: Understanding Customers’ Overgeneralization and Illogical Inference," Information Systems Research, INFORMS, vol. 30(3), pages 963-979, September.
    64. Paul, J. & Agatz, N.A.H. & Fransoo, J.C., 2021. "Towards Profitable Growth in E-Grocery Retailing - the Role of Store and Household Density," ERIM Report Series Research in Management ERS-2021-009-LIS, 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.
    65. Michael Lewis & Vishal Singh & Scott Fay, 2006. "An Empirical Study of the Impact of Nonlinear Shipping and Handling Fees on Purchase Incidence and Expenditure Decisions," Marketing Science, INFORMS, vol. 25(1), pages 51-64, 01-02.
    66. Hult, G. Tomas M. & Sharma, Pratyush Nidhi & Morgeson, Forrest V. & Zhang, Yufei, 2019. "Antecedents and Consequences of Customer Satisfaction: Do They Differ Across Online and Offline Purchases?," Journal of Retailing, Elsevier, vol. 95(1), pages 10-23.
    67. M. Serkan Akturk & Michael Ketzenberg, 2022. "Impact of Competitor Store Closures on a Major Retailer," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 715-730, February.
    68. Junhong Chu & Pradeep Chintagunta & Javier Cebollada, 2008. "Research Note—A Comparison of Within-Household Price Sensitivity Across Online and Offline Channels," Marketing Science, INFORMS, vol. 27(2), pages 283-299, 03-04.
    69. Hwa-Kyung Kim & Timothy J. Lee, 2018. "Brand Equity of a Tourist Destination," Sustainability, MDPI, vol. 10(2), pages 1-21, February.
    70. Bonnet, Céline & Etcheverry, Clara, 2021. "The Impact of Online Grocery Shopping on Retail Competition and Profit Sharing: an Empirical Evidence of the French Soft Drink Market," TSE Working Papers 21-1225, Toulouse School of Economics (TSE), revised Jan 2022.
    71. Neeru Malhotra & Sunil Sahadev & P. S. H. Leeflang & Keyoor Purani, 2021. "New Insights into e-Loyalty of Internet Banking Users in an Emerging Market Context: A Multilevel Analysis," Information Systems Frontiers, Springer, vol. 23(6), pages 1521-1536, December.
    72. Steven M. Shugan, 2004. "The Impact of Advancing Technology on Marketing and Academic Research," Marketing Science, INFORMS, vol. 23(4), pages 469-475.
    73. Davis, Robert & Piven, Inna & Breazeale, Michael, 2014. "Conceptualizing the brand in social media community: The five sources model," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 468-481.
    74. Arief Helmi & Rita Komaladewi & Vita Sarasi & Ledy Yolanda, 2023. "Characterizing Young Consumer Online Shopping Style: Indonesian Evidence," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
    75. Vikas Mittal & Eugene W. Anderson & Akin Sayrak & Pandu Tadikamalla, 2005. "Dual Emphasis and the Long-Term Financial Impact of Customer Satisfaction," Marketing Science, INFORMS, vol. 24(4), pages 544-555, August.
    76. Harris-Lagoudakis, Katherine, 2023. "The effect of online shopping channels on brand choice, product exploration and price elasticities," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    77. Banerjee, Arindam & Banerjee, Tanushri, 2016. "Web Content Analysis of Online Grocery Shopping Web Sites in India," IIMA Working Papers WP2016-03-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    78. Saini, Yvonne K. & Lynch, John G., 2016. "The effects of the online and offline purchase environment on consumer choice of familiar and unfamiliar brands," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 702-705.
    79. Neslin, Scott A. & Shankar, Venkatesh, 2009. "Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 70-81.
    80. Jabarzare, Nahid & Rasti-Barzoki, Morteza, 2020. "A game theoretic approach for pricing and determining quality level through coordination contracts in a dual-channel supply chain including manufacturer and packaging company," International Journal of Production Economics, Elsevier, vol. 221(C).
    81. Verstraeten, Julie & Heeremans, Eva & Geuens, Maggie & Vermeir, Iris, 2023. "How online grocery shopping drives private label food purchases," Journal of Business Research, Elsevier, vol. 167(C).
    82. Gielens, Katrijn & Ma, Yu & Namin, Aidin & Sethuraman, Raj & Smith, Ronn J. & Bachtel, Robert C. & Jervis, Suzanne, 2021. "The Future of Private Labels: Towards a Smart Private Label Strategy," Journal of Retailing, Elsevier, vol. 97(1), pages 99-115.
    83. Mingfeng Lin & Yong Liu & Siva Viswanathan, 2018. "Effectiveness of Reputation in Contracting for Customized Production: Evidence from Online Labor Markets," Management Science, INFORMS, vol. 64(1), pages 345-359, January.

  17. Danaher, Peter J. & Mullarkey, Guy W., 2003. "Factors Affecting Online Advertising Recall: A Study of Students," Journal of Advertising Research, Cambridge University Press, vol. 43(3), pages 252-267, September.

    Cited by:

    1. Goić, Marcel & Jerath, Kinshuk & Kalyanam, Kirthi, 2022. "The roles of multiple channels in predicting website visits and purchases: Engagers versus closers," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 656-677.
    2. 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.
    3. Espigares-Jurado, Francisco & Muñoz-Leiva, Francisco & Correia, Marisol B. & Sousa, Carlos M.R. & Ramos, Célia M.Q. & Faísca, Luís, 2020. "Visual attention to the main image of a hotel website based on its position, type of navigation and belonging to Millennial generation: An eye tracking study," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    4. Mihai Țichindelean & Monica Teodora Țichindelean & Iuliana Cetină & Gheorghe Orzan, 2021. "A Comparative Eye Tracking Study of Usability—Towards Sustainable Web Design," Sustainability, MDPI, vol. 13(18), pages 1-31, September.
    5. K. Sudhir & Seung Yoon Lee & Subroto Roy, 2021. "Lookalike Targeting on Others' Journeys: Brand Versus Performance Marketing," Cowles Foundation Discussion Papers 2302R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2022.
    6. Cauberghe, Verolien & De Pelsmacker, Patrick, 2010. "The Effectiveness of Telescopic Ads Delivered Via Interactive Digital Television: The Impact of the Amount of Information and the Level of Interactivity on Brand Responses," Journal of Interactive Marketing, Elsevier, vol. 24(4), pages 297-308.
    7. Campbell, Colin & Evans, Nathaniel J., 2018. "The Role of a Companion Banner and Sponsorship Transparency in Recognizing and Evaluating Article-style Native Advertising," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 17-32.
    8. Salvador del Barrio García & Esmeralda Crespo Almendros, 2011. "Impact of online sales promotion type on internet user recall," DOCFRADIS Working Papers 1106, Catedra Fundación Ramón Areces de Distribución Comercial.
    9. Yuheng Hu, 2021. "Characterizing Social TV Activity Around Televised Events: A Joint Topic Model Approach," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1320-1338, October.
    10. Imran Anwar Mir, 2017. "Impact of Entertainment Motivational Drivers on User Acceptance of Online Social Network Banner Advertising: A Gratification Perspective," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 20(1), pages 19-47, May.
    11. Carlo Reggiani & Tommaso Valletti, 2012. "Net neutrality and innovation at the core and at the edge," Economics Discussion Paper Series 1202, Economics, The University of Manchester.
    12. Rizwan Raheem Ahmed & Dalia Streimikiene & Gerhard Berchtold & Jolita Vveinhardt & Zahid Ali Channar & Riaz Hussain Soomro, 2019. "Effectiveness of Online Digital Media Advertising as A Strategic Tool for Building Brand Sustainability: Evidence from FMCGs and Services Sectors of Pakistan," Sustainability, MDPI, vol. 11(12), pages 1-40, June.
    13. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    14. Zenetti, German & Klapper, Daniel, 2016. "Advertising Effects Under Consumer Heterogeneity – The Moderating Role of Brand Experience, Advertising Recall and Attitude," Journal of Retailing, Elsevier, vol. 92(3), pages 352-372.
    15. Campbell, Colin & Sands, Sean & Treen, Emily & McFerran, Brent, 2021. "Fleeting, But Not Forgotten: Ephemerality as a Means to Increase Recall of Advertising," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 96-105.
    16. Yi Zhu & Kenneth C. Wilbur, 2008. "Strategic Bidding in Hybrid CPC/CPM Auctions," Working Papers 08-25, NET Institute, revised Oct 2008.
    17. 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.
    18. Oliver Rutz & Randolph Bucklin, 2012. "Does banner advertising affect browsing for brands? clickstream choice model says yes, for some," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 231-257, June.

  18. Peter J. Danaher, 2002. "Optimal Pricing of New Subscription Services: Analysis of a Market Experiment," Marketing Science, INFORMS, vol. 21(2), pages 119-138, February.

    Cited by:

    1. Kristina Brecko, 2023. "New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market," Marketing Science, INFORMS, vol. 42(1), pages 61-86, January.
    2. Kummer, Michael & Schulte, Patrick, 2014. "Money and privacy: Android market evidence," ZEW Discussion Papers 14-131, ZEW - Leibniz Centre for European Economic Research.
    3. Elena Belavina & Karan Girotra & Ashish Kabra, 2017. "Online Grocery Retail: Revenue Models and Environmental Impact," Management Science, INFORMS, vol. 63(6), pages 1781-1799, June.
    4. Bo Li & Subodha Kumar, 2022. "Managing Software‐as‐a‐Service: Pricing and operations," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2588-2608, June.
    5. Frauke Becker & Karen Gedenk, 2020. "Optimale nichtlineare Tarife auf zweiseitigen Medien-Märkten [Optimal Nonlinear Pricing in Two-Sided Media Markets]," Schmalenbach Journal of Business Research, Springer, vol. 72(4), pages 423-445, December.
    6. Roemer, Nils & Müller, Sven & Voigt, Guido, 2023. "A choice-based optimization approach for contracting in supply chains," European Journal of Operational Research, Elsevier, vol. 305(1), pages 271-286.
    7. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
    8. Ma, Xiaoyu & Deng, Tianhu & Xue, Mengying & Shen, Zuo-Jun Max & Lan, Boxiong, 2017. "Optimal dynamic pricing of mobile data plans in wireless communications," Omega, Elsevier, vol. 66(PA), pages 91-105.
    9. Nicholas Economides & V. Brian Viard & Katja Seim, 2007. "Quantifying the Benefits of Entry into Local Phone Service," Working Papers 07-48, NET Institute, revised Dec 2007.
    10. Chen, Jiawei & Jiang, Lai & Syed Shah, Saad Andalib, 2022. "An empirical model of the effects of “bill shock” regulation in mobile telecommunication markets," International Journal of Industrial Organization, Elsevier, vol. 83(C).
    11. Thomas P. Tangerås, 2014. "Network competition with income effects," RAND Journal of Economics, RAND Corporation, vol. 45(3), pages 645-673, September.
    12. 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.
    13. Schlereth, Christian & Stepanchuk, Tanja & Skiera, Bernd, 2010. "Optimization and analysis of the profitability of tariff structures with two-part tariffs," European Journal of Operational Research, Elsevier, vol. 206(3), pages 691-701, November.
    14. Mesak, Hani I. & Bari, Abdullahel & Babin, Barry J. & Birou, Laura M. & Jurkus, Anthony, 2011. "Optimum advertising policy over time for subscriber service innovations in the presence of service cost learning and customers' disadoption," European Journal of Operational Research, Elsevier, vol. 211(3), pages 642-649, June.
    15. Hans Jarle Kind & Tore Nilssen & Lars Sørgard, 2009. "Business Models for Media Firms: Does Competition Matter for how they Raise Revenue?," CESifo Working Paper Series 2713, CESifo.
    16. I. P. L. Png & Hao Wang, 2010. "Buyer Uncertainty and Two-Part Pricing: Theory and Applications," Management Science, INFORMS, vol. 56(2), pages 334-342, February.
    17. Øystein Foros & Hans Jarle Kind & Guttorm Schjelderup, 2012. "Ad Pricing by Multi-Channel Platforms: How to Make Viewers and Advertisers Prefer the Same Channel?," Journal of Media Economics, Taylor & Francis Journals, vol. 25(3), pages 133-146, September.
    18. Hans Jarle Kind & Tore Nilssen & Lars Sørgard, 2010. "Price Coordination in Two-Sided Markets: Competition in the TV Industry," CESifo Working Paper Series 3004, CESifo.
    19. Fruchter, Gila E. & Sigué, Simon P., 2013. "Dynamic pricing for subscription services," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2180-2194.
    20. Raghuram Iyengar & Kamel Jedidi & Skander Essegaier & Peter J. Danaher, 2011. "The Impact of Tariff Structure on Customer Retention, Usage, and Profitability of Access Services," Marketing Science, INFORMS, vol. 30(5), pages 820-836, September.
    21. Eva Ascarza & Bruce G. S. Hardie, 2013. "A Joint Model of Usage and Churn in Contractual Settings," Marketing Science, INFORMS, vol. 32(4), pages 570-590, July.
    22. Amoy X. Yang, 2019. "Price differentiation model: its challenges and solutions," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 123-132, April.
    23. Øystein Daljord & Carl F. Mela & Jason M. T. Roos & Jim Sprigg & Song Yao, 2023. "The Design and Targeting of Compliance Promotions," Marketing Science, INFORMS, vol. 42(5), pages 866-891, September.
    24. Baohong Sun, 2006. "—Technology Innovation and Implications for Customer Relationship Management," Marketing Science, INFORMS, vol. 25(6), pages 594-597, 11-12.
    25. Bitran, Gabriel R. & Rocha e Oliveira, Paulo & Schilkrut, Ariel, 2008. "Managing customer relationships through price and service quality," IESE Research Papers D/750, IESE Business School.
    26. Grewal, Dhruv & Janakiraman, Ramkumar & Kalyanam, Kirthi & Kannan, P.K. & Ratchford, Brian & Song, Reo & Tolerico, Stephen, 2010. "Strategic Online and Offline Retail Pricing: A Review and Research Agenda," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 138-154.
    27. Kim, Young Joo & Hwang, Hark, 2009. "Incremental discount policy of cell-phone carrier with connection success rate constraint," European Journal of Operational Research, Elsevier, vol. 196(2), pages 682-687, July.
    28. Jun Pei & Ping Yan & Subodha Kumar & Xinbao Liu, 2021. "How to React to Internal and External Sharing in B2C and C2C," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 145-170, January.
    29. Tarek Ben Rhouma & Georges Zaccour, 2018. "Optimal Marketing Strategies for the Acquisition and Retention of Service Subscriber," Management Science, INFORMS, vol. 64(6), pages 2609-2627, June.
    30. Yacheng Sun & Shibo Li & Baohong Sun, 2015. "An Empirical Analysis of Consumer Purchase Decisions Under Bucket-Based Price Discrimination," Marketing Science, INFORMS, vol. 34(5), pages 646-668, September.
    31. Roland T. Rust & Tuck Siong Chung, 2006. "Marketing Models of Service and Relationships," Marketing Science, INFORMS, vol. 25(6), pages 560-580, 11-12.
    32. Luís Cabral, 2012. "Lock in and switch: Asymmetric information and new product diffusion," Quantitative Marketing and Economics (QME), Springer, vol. 10(3), pages 375-392, September.
    33. Anja Lambrecht & Katja Seim & Naufel Vilcassim & Amar Cheema & Yuxin Chen & Gregory Crawford & Kartik Hosanagar & Raghuram Iyengar & Oded Koenigsberg & Robin Lee & Eugenio Miravete & Ozge Sahin, 2012. "Price discrimination in service industries," Marketing Letters, Springer, vol. 23(2), pages 423-438, June.
    34. Kim Huat Goh & Jesse C. Bockstedt, 2013. "The Framing Effects of Multipart Pricing on Consumer Purchasing Behavior of Customized Information Good Bundles," Information Systems Research, INFORMS, vol. 24(2), pages 334-351, June.
    35. Vidyanand Choudhary, 2010. "Use of Pricing Schemes for Differentiating Information Goods," Information Systems Research, INFORMS, vol. 21(1), pages 78-92, March.
    36. Steven M. Shugan, 2003. "Editorial: Compartmentalized Reviews and Other Initiatives: Should Marketing Scientists Review Manuscripts in Consumer Behavior?," Marketing Science, INFORMS, vol. 22(2), pages 151-160.
    37. Anja Lambrecht & Katja Seim & Bernd Skiera, 2007. "Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs," Marketing Science, INFORMS, vol. 26(5), pages 698-710, 09-10.
    38. Bischof, Severin Friedrich & Boettger, Tim M. & Rudolph, Thomas, 2020. "“Curated subscription commerce: A theoretical conceptualizationâ€," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    39. Schlereth, Christian & Skiera, Bernd, 2012. "Measurement of consumer preferences for bucket pricing plans with different service attributes," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 167-180.
    40. Shinjini Pandey & Goutam Dutta & Harit Joshi, 2017. "Survey on Revenue Management in Media and Broadcasting," Interfaces, INFORMS, vol. 47(3), pages 195-213, June.
    41. Somosi, Agnes & Stiassny, Alfred & Kolos, Krisztina & Warlop, Luk, 2021. "Customer defection due to service elimination and post-elimination customer behavior: An empirical investigation in telecommunications," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 915-934.

  19. Danaher, Peter J. & Rust, Roland T., 1996. "Determining the optimal return on investment for an advertising campaign," European Journal of Operational Research, Elsevier, vol. 95(3), pages 511-521, December.

    Cited by:

    1. Beltran-Royo, C. & Zhang, H. & Blanco, L.A. & Almagro, J., 2013. "Multistage multiproduct advertising budgeting," European Journal of Operational Research, Elsevier, vol. 225(1), pages 179-188.
    2. Beltran-Royo, C. & Escudero, L.F. & Zhang, H., 2016. "Multiperiod Multiproduct Advertising Budgeting: Stochastic Optimization Modeling," Omega, Elsevier, vol. 59(PA), pages 26-39.
    3. Marchioni, Andrea & Magni, Carlo Alberto, 2018. "Investment decisions and sensitivity analysis: NPV-consistency of rates of return," European Journal of Operational Research, Elsevier, vol. 268(1), pages 361-372.
    4. Baixauli, J. Samuel & Alvarez, Susana, 2004. "Analysis of the conditional stock-return distribution under incomplete specification," European Journal of Operational Research, Elsevier, vol. 155(2), pages 276-283, June.
    5. Eisenberg, Matthew D. & Avery, Rosemary J. & Cantor, Jonathan H., 2017. "Vitamin panacea: Is advertising fueling demand for products with uncertain scientific benefit?," Journal of Health Economics, Elsevier, vol. 55(C), pages 30-44.
    6. Mohd Faiz Hilmi & Ah Hwa Ngo, 2011. "Factors Affecting Hoteliers¡¯ Decision to Advertise in Travel Magazine," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 2(3), pages 62-72, September.
    7. Chen Lin & Sriram Venkataraman & Sandy D. Jap, 2013. "Media Multiplexing Behavior: Implications for Targeting and Media Planning," Marketing Science, INFORMS, vol. 32(2), pages 310-324, March.
    8. Arshia Kaul & Sugandha Aggarwal & Mohan Krishnamoorthy & P. C. Jha, 2018. "Multi-period media planning for multi-products incorporating segment specific and mass media," Annals of Operations Research, Springer, vol. 269(1), pages 317-359, October.

  20. Danaher, Peter J., 1994. "Comparing naive with econometric market share models when competitors' actions are forecast," International Journal of Forecasting, Elsevier, vol. 10(2), pages 287-294, September.

    Cited by:

    1. Klapper, Daniel & Herwartz, Helmut, 1998. "Forecasting performance of market share attraction models: A comparison of different models assuming that competitors' actions are forecasts," SFB 373 Discussion Papers 1998,103, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    2. Klapper, Daniel & Herwartz, Helmut, 2000. "Forecasting market share using predicted values of competitive behavior: further empirical results," International Journal of Forecasting, Elsevier, vol. 16(3), pages 399-421.
    3. Chia-Chi Sun, 2021. "An Assessment Model for Wealth Management Banks Based on the Fuzzy Evaluation Method," Mathematics, MDPI, vol. 9(19), pages 1-16, October.
    4. Peter S. Fader & Bruce G. S. Hardie & Chun-Yao Huang, 2004. "A Dynamic Changepoint Model for New Product Sales Forecasting," Marketing Science, INFORMS, vol. 23(1), pages 50-65, October.
    5. Danaher, Peter J. & Dagger, Tracey S. & Smith, Michael S., 2011. "Forecasting television ratings," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1215-1240, October.
    6. Marusia Ivanova, 2007. "Genesis and Evolution of Market Share Predictive Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 117-148.
    7. Fok, D. & Franses, Ph.H.B.F. & Paap, R., 2001. "Econometric Analysis of the Market Share Attraction Model," ERIM Report Series Research in Management ERS-2001-25-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.

  21. Danaher, Peter J. & Brodie, Roderick J., 1992. "Predictive accuracy of simple versus complex econometric market share models: Theoretical and empirical results," International Journal of Forecasting, Elsevier, vol. 8(4), pages 613-626, December.

    Cited by:

    1. Ribeiro Ramos, Francisco Fernando, 2003. "Forecasts of market shares from VAR and BVAR models: a comparison of their accuracy," International Journal of Forecasting, Elsevier, vol. 19(1), pages 95-110.
    2. Kumar, V. & Leone, Robert P. & Gaskins, John N., 1995. "Aggregate and disaggregate sector forecasting using consumer confidence measures," International Journal of Forecasting, Elsevier, vol. 11(3), pages 361-377, September.
    3. Francisco F. R. Ramos, 1996. "Forecasting market shares using VAR and BVAR models: A comparison of their forecasting performance," Econometrics 9601003, University Library of Munich, Germany.
    4. Francisco F. R. Ramos, 1996. "The Forecasting Accuracy of Five Time Series Models: Evidence from the Portuguese Car Market," Econometrics 9604002, University Library of Munich, Germany.
    5. Witt, Stephen F. & Witt, Christine A., 1995. "Forecasting tourism demand: A review of empirical research," International Journal of Forecasting, Elsevier, vol. 11(3), pages 447-475, September.

  22. Danaher, Peter J, 1992. "A Markov-Chain Model for Multivariate Magazine-Exposure Distributions," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 401-407, October.

    Cited by:

    1. Rademaker, Claudia A., 2011. "Media Selection for Marketing Communication - an exploratory study among marketing managers -," SSE/EFI Working Paper Series in Business Administration 2011:4, Stockholm School of Economics, revised 11 Nov 2011.

Chapters

  1. Peter J. Danaher, 2017. "Advertising Effectiveness and Media Exposure," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 463-481, Springer.

    Cited by:

    1. Marc Fischer, 2019. "Practice Prize Paper–Managing Advertising Campaigns for New Product Launches: An Application at Mercedes-Benz," Marketing Science, INFORMS, vol. 38(2), pages 343-359, March.
    2. Schreiner, Timo & Rese, Alexandra & Baier, Daniel, 2019. "Multichannel personalization: Identifying consumer preferences for product recommendations in advertisements across different media channels," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 87-99.
    3. Radka Bauerová & Veronika Braciníková & Tereza Ikášová & Dominik Švarc & Lucie Vavrušková, 2021. "Nepřeskočitelnost reklamy v kontextu výkonnostního marketingu: literární rešerše a definování designu experimentu," Working Papers 0071, Silesian University, School of Business Administration.
    4. Garrett Johnson & Julian Runge & Eric Seufert, 2022. "Privacy-Centric Digital Advertising: Implications for Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 9(1), pages 49-54, June.

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