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Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity

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Cited by:

  1. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
  2. 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.
  3. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro, 2023. "Multichannel customer purchase behavior and long tail effects in the fashion goods market," Journal of Retailing, Elsevier, vol. 99(1), pages 46-65.
  4. Fanjuan Shi & Jean-Luc Marini, 2014. "Do we need to believe Data/Tangible or Emotional/Intuition?," Post-Print halshs-01065283, HAL.
  5. Miguel Godinho de Matos & Pedro Ferreira, 2020. "The Effect of Binge-Watching on the Subscription of Video on Demand: Results from Randomized Experiments," Information Systems Research, INFORMS, vol. 31(4), pages 1337-1360, December.
  6. Weeds, Helen, 2012. "Superstars and the long tail: The impact of technology on market structure in media industries," Information Economics and Policy, Elsevier, vol. 24(1), pages 60-68.
  7. Avi Goldfarb & Catherine Tucker, 2012. "Privacy and Innovation," Innovation Policy and the Economy, University of Chicago Press, vol. 12(1), pages 65-90.
  8. Chen Liang & Zhan (Michael) Shi & T. S. Raghu, 2019. "The Spillover of Spotlight: Platform Recommendation in the Mobile App Market," Information Systems Research, INFORMS, vol. 30(4), pages 1296-1318, December.
  9. Zhan (Michael) Shi & T. S. Raghu, 2020. "An Economic Analysis of Product Recommendation in the Presence of Quality and Taste-Match Heterogeneity," Information Systems Research, INFORMS, vol. 31(2), pages 399-411, June.
  10. Anindya Ghose & Beibei Li & Siyuan Liu, 2019. "Mobile Targeting Using Customer Trajectory Patterns," Management Science, INFORMS, vol. 65(11), pages 5027-5049, November.
  11. Joëlle Farchy & Mathilde Gansemer & Jessica Petrou, 2013. "E-book and book publishing," Chapters, in: Ruth Towse & Christian Handke (ed.), Handbook on the Digital Creative Economy, chapter 31, pages 353-364, Edward Elgar Publishing.
  12. Vivek F. Farias & Andrew A. L, 2019. "Learning Preferences with Side Information," Management Science, INFORMS, vol. 65(7), pages 3131-3149, July.
  13. Ho, Edward & Kowatsch, Tobias & Ilic, Alexander, 2014. "The Sales Velocity Effect on Retailing," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 237-256.
  14. Atom Sonoda & Yoshifumi Seki & Fujio Toriumi, 2022. "Analyzing user engagement in news application considering popularity diversity and content diversity," Journal of Computational Social Science, Springer, vol. 5(2), pages 1595-1614, November.
  15. Dongwon Lee & Anandasivam Gopal & Sung-Hyuk Park, 2020. "Different but Equal? A Field Experiment on the Impact of Recommendation Systems on Mobile and Personal Computer Channels in Retail," Information Systems Research, INFORMS, vol. 31(3), pages 892-912, September.
  16. Gediminas Adomavicius & YoungOk Kwon, 2014. "Optimization-Based Approaches for Maximizing Aggregate Recommendation Diversity," INFORMS Journal on Computing, INFORMS, vol. 26(2), pages 351-369, May.
  17. Joonhyuk Yang & Eric T. Anderson & Brett R. Gordon, 2021. "Digitization and Flexibility: Evidence from the South Korean Movie Market," Marketing Science, INFORMS, vol. 40(5), pages 821-843, September.
  18. Yinbo Feng & Ming Hu, 2017. "Blockbuster or Niche? Competitive Strategy under Network Effects," Working Papers 17-13, NET Institute.
  19. , & , & ,, 2014. "Dynamics of information exchange in endogenous social networks," Theoretical Economics, Econometric Society, vol. 9(1), January.
  20. Ibrahim Muter & Tevfik Aytekin, 2017. "Incorporating Aggregate Diversity in Recommender Systems Using Scalable Optimization Approaches," INFORMS Journal on Computing, INFORMS, vol. 29(3), pages 405-421, August.
  21. Dokyun Lee & Kartik Hosanagar, 2019. "How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment," Service Science, INFORMS, vol. 30(1), pages 239-259, March.
  22. Xitong Li & Jörn Grahl & Oliver Hinz, 2022. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Information Systems Research, INFORMS, vol. 33(2), pages 620-637, June.
  23. Stephan Leitner & Bartosz Gula & Dietmar Jannach & Ulrike Krieg-Holz & Friederike Wall, 2021. "Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research," SN Business & Economics, Springer, vol. 1(1), pages 1-18, January.
  24. 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.
  25. Guy Aridor & Duarte Gonçalves & Daniel Kluver & Ruoyan Kong & Joseph Konstan, 2022. "The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens," CESifo Working Paper Series 10129, CESifo.
  26. 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.
  27. Daria Dzyabura & John R. Hauser, 2019. "Recommending Products When Consumers Learn Their Preference Weights," Marketing Science, INFORMS, vol. 38(3), pages 417-441, May.
  28. 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.
  29. Gal OEstreicher-Singer & Barak Libai, 2011. "Assessing Value in Product Networks," Working Papers 11-29, NET Institute, revised Sep 2011.
  30. Lusi Li & Jianqing Chen & Srinivasan Raghunathan, 2018. "Recommender System Rethink: Implications for an Electronic Marketplace with Competing Manufacturers," Information Systems Research, INFORMS, vol. 29(4), pages 1003-1023, December.
  31. Moon, Hyun Sil & Kim, Jae Kyeong & Ryu, Young U., 2013. "A sequence-based filtering method for exhibition booth visit recommendations," International Journal of Information Management, Elsevier, vol. 33(4), pages 620-626.
  32. Umberto Panniello & Michele Gorgoglione & Alexander Tuzhilin, 2016. "Research Note—In CARSs We Trust: How Context-Aware Recommendations Affect Customers’ Trust and Other Business Performance Measures of Recommender Systems," Information Systems Research, INFORMS, vol. 27(1), pages 182-196, March.
  33. Daniel Zeng & Yong Liu & Ping Yan & Yanwu Yang, 2021. "Location-Aware Real-Time Recommender Systems for Brick-and-Mortar Retailers," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1608-1623, October.
  34. 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.
  35. Paul Belleflamme & Martin Peitz, 2018. "Inside the Engine Room of Digital Platforms: Reviews, Ratings, and Recommendations," Working Papers halshs-01714549, HAL.
  36. Köcher, Sören & Jugovac, Michael & Jannach, Dietmar & Holzmüller, Hartmut H., 2019. "New Hidden Persuaders: An Investigation of Attribute-Level Anchoring Effects of Product Recommendations," Journal of Retailing, Elsevier, vol. 95(1), pages 24-41.
  37. Tom Fangyun Tan & Serguei Netessine & Lorin Hitt, 2017. "Is Tom Cruise Threatened? An Empirical Study of the Impact of Product Variety on Demand Concentration," Information Systems Research, INFORMS, vol. 28(3), pages 643-660, September.
  38. Kartik Hosanagar & Daniel Fleder & Dokyun Lee & Andreas Buja, 2014. "Will the Global Village Fracture Into Tribes? Recommender Systems and Their Effects on Consumer Fragmentation," Management Science, INFORMS, vol. 60(4), pages 805-823, April.
  39. Meiseberg, Brinja, 2016. "The Effectiveness of E-tailers’ Communication Practices in Stimulating Sales of Niche versus Popular Products," Journal of Retailing, Elsevier, vol. 92(3), pages 319-332.
  40. Rietveld, G.J. & Eggers, J.P., 2016. "Demand Heterogeneity and the Adoption of Platform Complements," ERIM Report Series Research in Management ERS-2016-003-STR, 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.
  41. Jun Li & Serguei Netessine, 2020. "Higher Market Thickness Reduces Matching Rate in Online Platforms: Evidence from a Quasiexperiment," Management Science, INFORMS, vol. 66(1), pages 271-289, January.
  42. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
  43. Erik Brynjolfsson & Yu (Jeffrey) Hu & Duncan Simester, 2011. "Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales," Management Science, INFORMS, vol. 57(8), pages 1373-1386, August.
  44. Joan Calzada & Nestor Duch-Brown & Ricard Gil, 2021. "Do search engines increase concentration in media markets?," UB School of Economics Working Papers 2021/415, University of Barcelona School of Economics.
  45. Marchand, André & Marx, Paul, 2020. "Automated Product Recommendations with Preference-Based Explanations," Journal of Retailing, Elsevier, vol. 96(3), pages 328-343.
  46. Erdem Dogukan Yilmaz & Ivana Naumovska & Milan Miric, 2023. "Does imitation increase or decrease demand for an original product? Understanding the opposing effects of discovery and substitution," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 639-671, March.
  47. Hoskins, Jake D., 2020. "The evolving role of hit and niche products in brick-and-mortar retail category assortment planning: A large-scale empirical investigation of U.S. consumer packaged goods," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
  48. Shankar Prawesh & Balaji Padmanabhan, 2014. "The “Most Popular News” Recommender: Count Amplification and Manipulation Resistance," Information Systems Research, INFORMS, vol. 25(3), pages 569-589, September.
  49. Hidalgo-Hidalgo, Marisa & Jiménez, Natalia & López-Pintado, Dunia, 2021. "Social influence and position effects," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 113-131.
  50. Yuanchun Jiang & Jennifer Shang & Chris F. Kemerer & Yezheng Liu, 2011. "Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles," Marketing Science, INFORMS, vol. 30(4), pages 737-752, July.
  51. Peter Mayerhofer & Peter Huber & Dieter Pennerstorfer, 2017. "Handel und Einzelhandel im Wiener Beschäftigungssystem. Arbeitsmarktrelevanz, Arbeitsplatzcharakteristika, absehbare Herausforderungen," WIFO Studies, WIFO, number 61951, April.
  52. Pai Zheng & Xun Xu & Sheng Quan Xie, 2019. "A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 3-16, January.
  53. Yicheng Song & Nachiketa Sahoo & Elie Ofek, 2019. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation," Management Science, INFORMS, vol. 65(8), pages 3737-3757, August.
  54. Hai-Yan Yu & Jing-Jing Chen & Jying-Nan Wang & Ya-Ling Chiu & Hang Qiu & Li-Ya Wang, 2019. "Identification of the Differential Effect of City-Level on the Gini Coefficient of Health Service Delivery in Online Health Community," IJERPH, MDPI, vol. 16(13), pages 1-18, June.
  55. 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.
  56. Sirui Li & Ying Liu & Jing Su & Xin Luo & Xiao Yang, 2022. "Can e-commerce platforms build the resilience of brick-and-mortar businesses to the COVID-19 shock? An empirical analysis in the Chinese retail industry," ULB Institutional Repository 2013/356995, ULB -- Universite Libre de Bruxelles.
  57. 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.
  58. P.J. Lamberson & Scott E. Page, 2018. "First mover or higher quality? Optimal product strategy in markets with positive feedbacks," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 40-52, March.
  59. Aridor, Guy & Gonçalves, Duarte, 2022. "Recommenders’ originals: The welfare effects of the dual role of platforms as producers and recommender systems," International Journal of Industrial Organization, Elsevier, vol. 83(C).
  60. Andreas Hefti & Julia Lareida, 2021. "Competitive attention, Superstars and the Long Tail," ECON - Working Papers 383, Department of Economics - University of Zurich.
  61. Budzinski, Oliver & Gänßle, Sophia & Lindstädt-Dreusicke, Nadine, 2021. "Data (r)evolution - The economics of algorithmic search and recommender services," Ilmenau Economics Discussion Papers 148, Ilmenau University of Technology, Institute of Economics.
  62. Erik Brynjolfsson & Yu (Jeffrey) Hu & Michael D. Smith, 2010. "Research Commentary --- Long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns," Information Systems Research, INFORMS, vol. 21(4), pages 736-747, December.
  63. Jingjing Zhang & Gediminas Adomavicius & Alok Gupta & Wolfgang Ketter, 2020. "Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework," Information Systems Research, INFORMS, vol. 31(1), pages 76-101, March.
  64. Goldfarb, Avi & Taska, Bledi & Teodoridis, Florenta, 2023. "Could machine learning be a general purpose technology? A comparison of emerging technologies using data from online job postings," Research Policy, Elsevier, vol. 52(1).
  65. Yangguang Huang, 2021. "Search Algorithm and Sales on Online Platforms: Evidence from Food Delivery Platforms," HKUST CEP Working Papers Series 202101, HKUST Center for Economic Policy.
  66. Yi, Sangyoon & Kim, Dongyeon & Ju, Jaehyeon, 2022. "Recommendation technologies and consumption diversity: An experimental study on product recommendations, consumer search, and sales diversity," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
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