George Knox

Personal Details

First Name:	George
Middle Name:
Last Name:	Knox
Suffix:
RePEc Short-ID:	pkn31
	[This author has chosen not to make the email address public]
	https://www.george-knox.com/
Terminal Degree:	Wharton School of Business; University of Pennsylvania (from RePEc Genealogy)

Affiliation

CentER Graduate School for Economics and Business
School of Economics and Management
Universiteit van Tilburg

Tilburg, Netherlands
https://www.tilburguniversity.edu/research/economics-and-management/graduate-school
RePEc:edi:cekubnl (more details at EDIRC)

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

Sorry, no citations of working papers recorded.

Articles

1. Hannes Datta & George Knox & Bart J. Bronnenberg, 2018. "Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery," Marketing Science, INFORMS, vol. 37(1), pages 5-21, January.

   Cited by:

   1. Marco Palomeque & Juan de-Lucio, 2024. "The Soundtrack of a Crisis: More Positive Music Preferences During Economic and Social Adversity," Journal of Happiness Studies, Springer, vol. 25(5), pages 1-24, June.
   2. Janek Meyn & Michael Kandziora & Sönke Albers & Michel Clement, 2023. "Consequences of platforms' remuneration models for digital content: initial evidence and a research agenda for streaming services," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 114-131, January.
   3. Knox, George & Datta, Hannes, 2020. "Streaming Services and the Homogenization of Music Consumption," Other publications TiSEM 0e4d6202-dcc5-4834-ba93-a, Tilburg University, School of Economics and Management.
   4. Luis Aguiar & Joel Waldfogel & Sarah B. Waldfogel, 2021. "Playlisting Favorites: Measuring Platform Bias in the Music Industry," NBER Working Papers 29017, National Bureau of Economic Research, Inc.
      • Aguiar, Luis & Waldfogel, Joel & Waldfogel, Sarah, 2021. "Playlisting favorites: Measuring platform bias in the music industry," International Journal of Industrial Organization, Elsevier, vol. 78(C).
   5. Gambato, Jacopo & Sandrini, Luca, 2024. "Not as good as it used to be: Do streaming platforms penalize quality?," ZEW Discussion Papers 24-045, ZEW - Leibniz Centre for European Economic Research.
   6. Gambato, Jacopo & Sandrini, Luca, 2025. "Dance to my tune! Discovery mode and built-in recommendation bias," ZEW Discussion Papers 25-037, ZEW - Leibniz Centre for European Economic Research.
   7. Marc Ivaldi & Ambre Nicolle & Frank Verboven & Jiekai Zhang, 2024. "Displacement and complementarity in the recorded music industry: evidence from France," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(1), pages 43-94, March.
      • Marc Ivaldi & Ambre Nicolle & Frank Verboven & Jiekai Zhang, 2024. "Displacement and complementarity in the recorded music industry: evidence from France," Post-Print hal-04020859, HAL.
      • Ivaldi, Marc & Nicolle, Ambre & Verboven, Frank & Zhang, Jiekai, 2021. "Displacement and complementarity in the recorded music industry: evidence from France," CEPR Discussion Papers 16006, C.E.P.R. Discussion Papers.
      • Ivaldi, Marc & Nicolle, Ambre & Verboven, Frank & Zhang, Jiekai, 2021. "Displacement and Complementary in the recorded music industry: evidence from France," TSE Working Papers 21-1199, Toulouse School of Economics (TSE), revised 07 Jan 2023.
   8. Luis Aguiar & Imke Reimers & Joel Waldfogel, 2024. "Platforms and the transformation of the content industries," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 317-326, March.
   9. Karla Borja & Suzanne Dieringer, 2022. "Is music piracy over? Comparing music piracy attitudes and behaviors between young generations," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(2), pages 899-924, June.
   10. Alexander Cuntz, 2018. "Creators' Income Situation in the Digital Age," WIPO Economic Research Working Papers 49, World Intellectual Property Organization - Economics and Statistics Division.
       • Alexander Cuntz, 2018. "Creators’ Income Situation in the Digital Age," LIS Working papers 755, LIS Cross-National Data Center in Luxembourg.
   11. Emaad Manzoor & Nikhil Malik, 2023. "Designing Effective Music Excerpts," Papers 2309.14475, arXiv.org.
   12. Guyt, Jonne Y. & Datta, Hannes & Boegershausen, Johannes, 2024. "Unlocking the Potential of Web Data for Retailing Research," Journal of Retailing, Elsevier, vol. 100(1), pages 130-147.
   13. Nils Wlömert & Dominik Papies & Michel Clement & Martin Spann, 2024. "Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube," Marketing Science, INFORMS, vol. 43(1), pages 1-12, January.
   14. Myounggu Lee & Hye-jin Kim, 2024. "Exploring determinants of digital music success in South Korea," Electronic Commerce Research, Springer, vol. 24(3), pages 1659-1680, September.
   15. Marc Bourreau & François Moreau & Patrik Wikström, 2022. "Does digitization lead to the homogenization of cultural content?," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 427-453, January.
       • Marc Bourreau & François Moreau & Patrik Wikström, 2022. "Does digitization lead to the homogenization of cultural content?," Post-Print hal-03861868, HAL.
   16. Marc Bourreau & Germain Gaudin, 2018. "Streaming Platform and Strategic Recommendation Bias," CESifo Working Paper Series 7390, CESifo.
       • Marc Bourreau & Germain Gaudin, 2021. "Streaming platform and strategic recommendation bias," Post-Print halshs-03352447, HAL.
       • Marc Bourreau & Germain Gaudin, 2022. "Streaming platform and strategic recommendation bias," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(1), pages 25-47, February.
   17. Gambato, Jacopo & Sandrini, Luca, 2023. "Not as good as it used to be: Do streaming platforms penalize quality?," ZEW Discussion Papers 23-032, ZEW - Leibniz Centre for European Economic Research.
   18. Makoto Takeuchi & Soichiro Morishita & Yukie Sano, 2022. "Music Roles Affect the Selection of Consumption Means: A Questionnaire Survey of People’s Expectations for Music and Exploratory Factor Analysis," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 453-464, October.
   19. Alagöz, Nazli, 2024. "Promotion and technological change in the music industry," Other publications TiSEM 511ceba0-62a0-4c60-a76c-f, Tilburg University, School of Economics and Management.
   20. Jordi McKenzie & Paul Crosby & Liam J. A. Lenten, 2021. "It takes two, baby! Feature artist collaborations and streaming demand for music," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 385-408, September.
   21. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
   22. Zhen Fang & Ming Fan & Apurva Jain, 2023. "Content proliferation and narrowcasting in the age of streaming media," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3295-3310, October.
   23. Alexander Cuntz & Carsten Fink & Hansueli Stamm, 2024. "Artificial Intelligence and Intellectual Property : An Economic Perspective," WIPO Economic Research Working Papers 77, World Intellectual Property Organization - Economics and Statistics Division.
   24. Marc Bourreau & Marianne Lumeau & Francois Moreau & Jordana Viotto da Cruz, 2019. "Recent or Free? An Experimental Study of the Motivations for Pirating Movies," CESifo Working Paper Series 8036, CESifo.
   25. Chau Minh Nguyen & Marcelo Vinhal Nepomuceno & Yany Grégoire & Renaud Legoux, 2024. "Striking the Right Notes: Long- and Short-Term Financial Impacts of Musicians’ Charity Advocacy Versus Other Signaling Types," Journal of Business Ethics, Springer, vol. 193(1), pages 217-233, August.
   26. E. Carroni & D. Paolini, 2020. "Business models for streaming platforms: content acquisition, advertising and users," Working Paper CRENoS 202001, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
       • Carroni, Elias & Paolini, Dimitri, 2020. "Business models for streaming platforms: Content acquisition, advertising and users," Information Economics and Policy, Elsevier, vol. 52(C).
   27. Pan Li, 2025. "Popular music in an age of globalization: cultural exchange through media platforms," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
   28. Ron Berman & Ayelet Israeli, 2022. "The Value of Descriptive Analytics: Evidence from Online Retailers," Marketing Science, INFORMS, vol. 41(6), pages 1074-1096, November.
   29. Frederik Juul Jensen, 2024. "Rethinking royalties: alternative payment systems on music streaming platforms," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(3), pages 439-462, September.
   30. Dolata, Ulrich, 2020. "The digital transformation of the music industry. The second decade: From download to streaming," Research Contributions to Organizational Sociology and Innovation Studies, SOI Discussion Papers 2020-04, University of Stuttgart, Institute for Social Sciences, Department of Organizational Sociology and Innovation Studies.
   31. Kretschmer, Tobias & Peukert, Christian, 2019. "Video Killed the Radio Star? Online Music Videos and Recorded Music Sales," CEPR Discussion Papers 14038, C.E.P.R. Discussion Papers.
       • Tobias Kretschmer & Christian Peukert, 2020. "Video Killed the Radio Star? Online Music Videos and Recorded Music Sales," Information Systems Research, INFORMS, vol. 31(3), pages 776-800, September.
   32. Sai Chand Chintala & Jūra Liaukonytė & Nathan Yang, 2024. "Browsing the Aisles or Browsing the App? How Online Grocery Shopping is Changing What We Buy," Marketing Science, INFORMS, vol. 43(3), pages 506-522, May.
   33. Broekhuizen, T.L.J. & Emrich, O. & Gijsenberg, M.J. & Broekhuis, M. & Donkers, B. & Sloot, L.M., 2021. "Digital platform openness: Drivers, dimensions and outcomes," Journal of Business Research, Elsevier, vol. 122(C), pages 902-914.
   34. S{i}la Ada & Nadia Abou Nabout & Elea McDonnell Feit, 2020. "Context information increases revenue in ad auctions: Evidence from a policy change," Papers 2012.00840, arXiv.org.
   35. Yongjin Park & Youngsok Bang & Jae-Hyeon Ahn, 2020. "How Does the Mobile Channel Reshape the Sales Distribution in E-Commerce?," Information Systems Research, INFORMS, vol. 31(4), pages 1164-1182, December.
   36. Ricarda Schauerte & Stéphanie Feiereisen & Alan J. Malter, 2021. "What does it take to survive in a digital world? Resource-based theory and strategic change in the TV industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(2), pages 263-293, June.
   37. Christian Peukert, 2019. "The next wave of digital technological change and the cultural industries," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 189-210, June.
   38. Mark Bender & Esther Gal‐Or & Tansev Geylani, 2022. "The emergence of streaming and its impact on pricing and product strategies of content providers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2148-2171, September.
   39. Johannes Loh, 2022. "Selection, Consumption, and New Music Exploration in an Online Social Network: A Dyadic Approach," CESifo Working Paper Series 10120, CESifo.
   40. E. Carroni & D. Paolini, 2019. "The business model of a streaming platform," Working Paper CRENoS 201902, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
   41. Pablo Bello & David Garcia, 2021. "Cultural Divergence in popular music: the increasing diversity of music consumption on Spotify across countries," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 8(1), pages 1-8, December.
   42. Zhang, Xiaoping & Zhang, Shihan, 2024. "Investigating impulse purchases in live streaming e-commerce: A perspective of match-ups," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
   43. Xiaolin Li & Chenxi Liao & Ying Xie, 2021. "Digital Piracy, Creative Productivity, and Customer Care Effort: Evidence from the Digital Publishing Industry," Marketing Science, INFORMS, vol. 40(4), pages 685-707, July.
   44. Shunyao Yan & Klaus M. Miller & Bernd Skiera, 2020. "How Does the Adoption of Ad Blockers Affect News Consumption?," Papers 2005.06840, arXiv.org, revised Aug 2021.
   45. Daniel Kaimann & Ilka Tanneberg & Joe Cox, 2021. "“I will survive”: Online streaming and the chart survival of music tracks," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 3-20, January.
   46. Kwon, Ohjin & Singh, Tanya & Kim, SunAh, 2023. "The competing roles of variety seeking in new brand adoption," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
   47. 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.
   48. Wu, Banggang & Guo, Gengxuan & Luo, Peng, 2024. "The effect of subscriptions on customer engagement," Journal of Business Research, Elsevier, vol. 178(C).
   49. Baik, Sosung & Hines, Jeffrey F. & Sim, Jaeung, 2023. "Racial disparities in the energy burden beyond socio-economic inequality," Energy Economics, Elsevier, vol. 127(PA).
   50. Shinichi Yamaguchi & Hirohide Sakaguchi & Kotaro Iyanaga & Hidetaka Oshima & Tatsuo Tanaka, 2023. "The impact of licensed and unlicensed free goods: an empirical analysis of music, video, and book industries in Japan," SN Business & Economics, Springer, vol. 3(3), pages 1-22, March.
   51. Koen Pauwels & Michael Peran & Zee Shah & German Schnaidt & Dauwe Vercamer, 2023. "Sponsored brands video rings up clicks and sales in the short and long run," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 275-286, September.
   52. Arnd Huchzermeier & Jannik Wolters & Marcel Uphues, 2023. "Case Article—The RealPro Customer Benefits Program: Rekindling Shopper Loyalty Through a Subscription Service," INFORMS Transactions on Education, INFORMS, vol. 24(1), pages 17-21, September.

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.

   Cited by:

   1. Park, Chang Hee & Yoon, Tae Jung, 2022. "The dark side of up-selling promotions: Evidence from an analysis of cross-brand purchase behavior☆," Journal of Retailing, Elsevier, vol. 98(4), pages 647-666.
   2. Chou, Ping & Chuang, Howard Hao-Chun & Chou, Yen-Chun & Liang, Ting-Peng, 2022. "Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning," European Journal of Operational Research, Elsevier, vol. 296(2), pages 635-651.
   3. Ascarza, & Neslin, & Netzer, & Lemmens, Aurélie & Anderson, Zachery & Fader, Peter S. & Gupta, S. & Hardie, B.G.S. & Libai, Barak & Neal, David & Provost, Foster, 2018. "In pursuit of enhanced customer retention management : Review, key issues, and future directions," Other publications TiSEM 28a90d28-6daf-42f1-bd8e-e, Tilburg University, School of Economics and Management.
   4. Valendin, Jan & Reutterer, Thomas & Platzer, Michael & Kalcher, Klaudius, 2022. "Customer base analysis with recurrent neural networks," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 988-1018.
   5. Eva Ascarza & Oded Netzer & Bruce G. S. Hardie, 2018. "Some Customers Would Rather Leave Without Saying Goodbye," Marketing Science, INFORMS, vol. 37(1), pages 54-77, January.
   6. Indranil Bardhan & Jeong-ha (Cath) Oh & Zhiqiang (Eric) Zheng & Kirk Kirksey, 2015. "Predictive Analytics for Readmission of Patients with Congestive Heart Failure," Information Systems Research, INFORMS, vol. 26(1), pages 19-39, March.
   7. Sarkar, Mainak & De Bruyn, Arnaud, 2021. "LSTM Response Models for Direct Marketing Analytics: Replacing Feature Engineering with Deep Learning," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 80-95.
   8. Daniel Blaseg & Armin Schwienbacher, 2024. "Biased Calibration: Exacerbating Instead of Mitigating Entrepreneurial Overplacement with Reference Values," Entrepreneurship Theory and Practice, , vol. 48(5), pages 1131-1159, September.
   9. Ad Jong & Nicolas A. Zacharias & Edwin J. Nijssen, 2021. "How young companies can effectively manage their slack resources over time to ensure sales growth: the contingent role of value-based selling," Journal of the Academy of Marketing Science, Springer, vol. 49(2), pages 304-326, March.
   10. Daniel Minh McCarthy & Elliot Shin Oblander, 2021. "Scalable Data Fusion with Selection Correction: An Application to Customer Base Analysis," Marketing Science, INFORMS, vol. 40(3), pages 459-480, May.
   11. Fulvia Pennoni & Leonard J. Paas & Francesco Bartolucci, 2023. "A causal hidden Markov model for assessing effects of multiple direct mail campaigns," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(4), pages 1336-1364, December.
   12. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
   13. Beth L. Fossen & David A. Schweidel & Michael Lewis, 2019. "Examining Brand Strength of Political Candidates: a Performance Premium Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(3), pages 63-75, December.
   14. Park, Chang Hee & Park, Young-Hoon & Schweidel, David A., 2018. "The effects of mobile promotions on customer purchase dynamics," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 453-470.
   15. 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.
   16. Alina Ferecatu & Arnaud Bruyn & Prithwiraj Mukherjee, 2024. "Silently killing your panelists one email at a time: The true cost of email solicitations," Journal of the Academy of Marketing Science, Springer, vol. 52(4), pages 1216-1239, July.
   17. 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.
   18. Patrick Bachmann & Markus Meierer & Jeffrey Näf, 2021. "The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis," Marketing Science, INFORMS, vol. 40(4), pages 783-809, July.
   19. Jaiswal, Anand K. & Niraj, Rakesh & Park, Chang Hee & Agarwal, Manoj K., 2018. "The effect of relationship and transactional characteristics on customer retention in emerging online markets," Journal of Business Research, Elsevier, vol. 92(C), pages 25-35.
   20. Sinha, Shameek & Malik, Sumit & Mahajan, Vijay & ter Hofstede, Frenkel, 2025. "Retain, reactivate or acquire: Can nonprofits reliably use community profiles as an alternative to past donation data?," Journal of Business Research, Elsevier, vol. 186(C).
   21. Arun Gopalakrishnan & Eric T. Bradlow & Peter S. Fader, 2017. "A Cross-Cohort Changepoint Model for Customer-Base Analysis," Marketing Science, INFORMS, vol. 36(2), pages 195-213, March.
   22. 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.
   23. 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.
   24. Park, Chang Hee & Park, Young-Hoon & Schweidel, David A., 2014. "A multi-category customer base analysis," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 266-279.
   25. Jake Hoskins & Shyam Gopinath & J. Cameron Verhaal & Elham Yazdani, 2021. "The influence of the online community, professional critics, and location similarity on review ratings for niche and mainstream brands," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1065-1087, November.
   26. 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.
   27. Eva Ascarza & Scott A. Neslin & Oded Netzer & Zachery Anderson & Peter S. Fader & Sunil Gupta & Bruce G. S. Hardie & Aurélie Lemmens & Barak Libai & David Neal & Foster Provost & Rom Schrift, 2018. "In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 65-81, March.
   28. Anthony Koschmann & Yi Qian, 2020. "Assessing the Quality of Illegal Copies and its Impact on Revenues and Distribution," NBER Working Papers 27649, National Bureau of Economic Research, Inc.
   29. Ryan Dew & Asim Ansari, 2018. "Bayesian Nonparametric Customer Base Analysis with Model-Based Visualizations," Marketing Science, INFORMS, vol. 37(2), pages 216-235, March.
   30. Reutterer, Thomas & Platzer, Michael & Schröder, Nadine, 2021. "Leveraging purchase regularity for predicting customer behavior the easy way," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 194-215.

3. van Oest, Rutger & Knox, George, 2011. "Extending the BG/NBD: A simple model of purchases and complaints," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 30-37.

   Cited by:

   1. Chou, Ping & Chuang, Howard Hao-Chun & Chou, Yen-Chun & Liang, Ting-Peng, 2022. "Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning," European Journal of Operational Research, Elsevier, vol. 296(2), pages 635-651.
   2. Doreén Pick & Jacquelyn S. Thomas & Sebastian Tillmanns & Manfred Krafft, 2016. "Customer win-back: the role of attributions and perceptions in customers’ willingness to return," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 218-240, March.
   3. Patrick Bachmann & Markus Meierer & Jeffrey Näf, 2021. "The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis," Marketing Science, INFORMS, vol. 40(4), pages 783-809, July.
   4. Park, Chang Hee & Park, Young-Hoon & Schweidel, David A., 2014. "A multi-category customer base analysis," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 266-279.

4. Knox, George & Eliashberg, Jehoshua, 2009. "The consumer's rent vs. buy decision in the rentailer," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 125-135.

   Cited by:

   1. Karniouchina, Ekaterina V., 2011. "Impact of star and movie buzz on motion picture distribution and box office revenue," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 62-74.
   2. 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.
   3. Lee, Sanghak & Kim, Hyowon & Kim, Jaehwan & Allenby, Greg M., 2018. "A choice model for mixed decision variables," Journal of choice modelling, Elsevier, vol. 28(C), pages 82-96.
   4. Marchand, André, 2016. "The power of an installed base to combat lifecycle decline: The case of video games," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 140-154.
   5. In-Hye Kang & Taehoon Park, 2024. "Renting as a coping strategy: the effect of unethical product attributes on the choice between renting and buying," Marketing Letters, Springer, vol. 35(3), pages 335-351, September.
   6. Anita Rao, 2015. "Online Content Pricing: Purchase and Rental Markets," Marketing Science, INFORMS, vol. 34(3), pages 430-451, May.
   7. Sonnier, Garrett P., 2014. "The market value for product attribute improvements under price personalization," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 168-177.
   8. Daniel Trabucchi & Laurent Muzellec & Sébastien Ronteau, 2019. "Sharing economy: seeing through the fog," Post-Print hal-03718526, HAL.
   9. Gong, Jing & Smith, Michael D. & Telang, Rahul, 2015. "Substitution or Promotion? The Impact of Price Discounts on Cross-Channel Sales of Digital Movies," Journal of Retailing, Elsevier, vol. 91(2), pages 343-357.
   10. Pei-yu Chen & Shin-yi Wu, 2013. "The Impact and Implications of On-Demand Services on Market Structure," Information Systems Research, INFORMS, vol. 24(3), pages 750-767, September.

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1. NEP-PAY: Payment Systems and Financial Technology (1) 2020-12-14

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