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Learning and skill set formation: A structural examination of version upgrades, user visibility, and AI strategies

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  • Jialie Chen

Abstract

For many multiplayer games, including massively multiplayer online role‐playing games, consumer skill sets with the game play an important role in engagement. Despite their importance, many aspects of consumers’ skill sets are still less well understood. This research considers the formation and evolution of players’ skill sets from two perspectives: (1) learning‐by‐doing, in which a consumer gradually improves his or her skill set with the game from past experiences with other players, and (2) learning about matched players’ skill sets from their observed characteristics (i.e., learning‐about‐others). Using policy simulations, we further demonstrate how inferences of players’ latent skill sets could help game developers design strategies for better engagement, from the perspectives of version upgrades, targeted user visibility, and artificial intelligence–powered bots.

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  • Jialie Chen, 2023. "Learning and skill set formation: A structural examination of version upgrades, user visibility, and AI strategies," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 3856-3872, December.
    • Handle: RePEc:bla:popmgt:v:32:y:2023:i:12:p:3856-3872
    DOI: 10.1111/poms.14065
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    as
    1. Hau L. Lee & Glen Schmidt, 2017. "Using Value Chains to Enhance Innovation," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 617-632, April.
    2. Wenli Xiao & Cheryl Gaimon, 2013. "The Effect of Learning and Integration Investment on Manufacturing Outsourcing Decisions: A Game Theoretic Approach," Production and Operations Management, Production and Operations Management Society, vol. 22(6), pages 1576-1592, November.
    3. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    4. Susumu Imai & Neelam Jain & Andrew Ching, 2009. "Bayesian Estimation of Dynamic Discrete Choice Models," Econometrica, Econometric Society, vol. 77(6), pages 1865-1899, November.
    5. Morvarid Rahmani & Karthik Ramachandran, 2021. "Delegating Innovation Projects with Deadline: Committed vs. Flexible Stopping," Management Science, INFORMS, vol. 67(10), pages 6317-6332, October.
    6. Cheryl Gaimon & Jennifer Bailey, 2013. "Knowledge Management for the Entrepreneurial Venture," Production and Operations Management, Production and Operations Management Society, vol. 22(6), pages 1429-1438, November.
    7. Yan Huang & Stefanus Jasin & Puneet Manchanda, 2019. "“Level Up”: Leveraging Skill and Engagement to Maximize Player Game-Play in Online Video Games," Information Systems Research, INFORMS, vol. 30(3), pages 927-947, September.
    8. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    9. Robin S. Lee, 2013. "Vertical Integration and Exclusivity in Platform and Two-Sided Markets," American Economic Review, American Economic Association, vol. 103(7), pages 2960-3000, December.
    10. Janice E. Carrillo & Cheryl Gaimon, 2000. "Improving Manufacturing Performance Through Process Change and Knowledge Creation," Management Science, INFORMS, vol. 46(2), pages 265-288, February.
    11. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    12. Marius F. Niculescu & D. J. Wu, 2014. "Economics of Free Under Perpetual Licensing: Implications for the Software Industry," Information Systems Research, INFORMS, vol. 25(1), pages 173-199, March.
    13. Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, July.
    14. Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2012. "A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 151-196, June.
    15. Paulo B. Goes & Chenhui Guo & Mingfeng Lin, 2016. "Do Incentive Hierarchies Induce User Effort? Evidence from an Online Knowledge Exchange," Information Systems Research, INFORMS, vol. 27(3), pages 497-516, September.
    16. David Besanko & Ulrich Doraszelski & Yaroslav Kryukov & Mark Satterthwaite, 2010. "Learning-by-Doing, Organizational Forgetting, and Industry Dynamics," Econometrica, Econometric Society, vol. 78(2), pages 453-508, March.
    17. Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
    18. Choon-Ling Sia & Bernard C. Y. Tan & Kwok-Kee Wei, 2002. "Group Polarization and Computer-Mediated Communication: Effects of Communication Cues, Social Presence, and Anonymity," Information Systems Research, INFORMS, vol. 13(1), pages 70-90, March.
    19. Harikesh Nair, 2007. "Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 239-292, September.
    20. Yufeng Huang, 2019. "Learning by Doing and the Demand for Advanced Products," Marketing Science, INFORMS, vol. 38(1), pages 107-128, January.
    21. Hang Ren & Tingliang Huang & Kenan Arifoglu, 2018. "Managing Service Systems with Unknown Quality and Customer Anecdotal Reasoning," Production and Operations Management, Production and Operations Management Society, vol. 27(6), pages 1038-1051, June.
    22. Tingliang Huang & Ying-Ju Chen, 2015. "Service Systems with Experience-Based Anecdotal Reasoning Customers," Production and Operations Management, Production and Operations Management Society, vol. 24(5), pages 778-790, May.
    23. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    24. Yang Liu & Juan Feng & Xiuwu Liao, 2017. "When Online Reviews Meet Sales Volume Information: Is More or Accurate Information Always Better?," Information Systems Research, INFORMS, vol. 28(4), pages 723-743, December.
    25. Qiao‐Chu He & Ying‐Ju Chen & Rhonda Righter, 2020. "Learning with Projection Effects in Service Operations Systems," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 90-100, January.
    26. Jean-Pierre H. Dubé & Günter J. Hitsch & Pradeep K. Chintagunta, 2010. "Tipping and Concentration in Markets with Indirect Network Effects," Marketing Science, INFORMS, vol. 29(2), pages 216-249, 03-04.
    27. Yi-Chun (Chad) Ho & Junjie Wu & Yong Tan, 2017. "Disconfirmation Effect on Online Rating Behavior: A Structural Model," Information Systems Research, INFORMS, vol. 28(3), pages 626-642, September.
    28. Cheryl Gaimon & Karthik Ramachandran, 2021. "The Knowledge Value Chain: An Operational Perspective," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 715-724, March.
    29. Yifan Jiao & Christopher S. Tang & Jingqi Wang, 2022. "An empirical study of play duration and in‐app purchase behavior in mobile games," Production and Operations Management, Production and Operations Management Society, vol. 31(9), pages 3435-3456, September.
    30. Cheryl Gaimon & Gülru F. Özkan & Karen Napoleon, 2011. "Dynamic Resource Capabilities: Managing Workforce Knowledge with a Technology Upgrade," Organization Science, INFORMS, vol. 22(6), pages 1560-1578, December.
    31. Jingchuan Pu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2020. "Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects," Information Systems Research, INFORMS, vol. 31(2), pages 297-322, June.
    32. Linda Argote & Manpreet Hora, 2017. "Organizational Learning and Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 579-590, April.
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