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Profit earning and monetary loss bidding in online entertainment shopping: the impacts of bidding patterns and characteristics

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  • Jin Li

    (Xidian University)

  • Kwok Fai Tso

    (City University of Hong Kong)

  • Fangtao Liu

    (Tsinghua University)

Abstract

Online entertainment shopping has emerged as an innovative business model, integrating features of electronic commerce, auctions, games, and lotteries. Prior literature has rarely provided an understanding of the effects of electronic market factors on players’ bidding performance in entertainment shopping. We attempt to fill this research gap by analyzing how players’ bidding patterns and characteristics can affect bidding performance. An empirical study with 5650 players’ participation data collected from a leading entertainment shopping website is conducted. Results confirm that players’ bidding performance, including profit earning and monetary loss bidding, is strongly associated with bidding patterns and characteristics. Based on empirical findings, players loyal to the website contribute more profit to the website. The website should pay more attention to loyal players and strategically limit players that are good at bidding, in order to avoid losing and winning polarizations. Furthermore, players with different product preferences have different weights for profit and entertainment, and player preferences can be transformed into monetary value for the website.

Suggested Citation

  • Jin Li & Kwok Fai Tso & Fangtao Liu, 2017. "Profit earning and monetary loss bidding in online entertainment shopping: the impacts of bidding patterns and characteristics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 77-90, February.
    • Handle: RePEc:spr:elmark:v:27:y:2017:i:1:d:10.1007_s12525-016-0235-0
    DOI: 10.1007/s12525-016-0235-0
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    1. Brennan C. Platt & Joseph Price & Henry Tappen, 2013. "The Role of Risk Preferences in Pay-to-Bid Auctions," Management Science, INFORMS, vol. 59(9), pages 2117-2134, September.
    2. Chen, Yan & Katuščák, Peter & Ozdenoren, Emre, 2013. "Why canʼt a woman bid more like a man?," Games and Economic Behavior, Elsevier, vol. 77(1), pages 181-213.
    3. Sridhar Narayanan & Puneet Manchanda, 2009. "Heterogeneous Learning and the Targeting of Marketing Communication for New Products," Marketing Science, INFORMS, vol. 28(3), pages 424-441, 05-06.
    4. Joel Waldfogel & Lu Chen, 2006. "Does Information Undermine Brand? Information Intermediary Use And Preference For Branded Web Retailers," Journal of Industrial Economics, Wiley Blackwell, vol. 54(4), pages 425-449, December.
    5. DavidJ. Cooper & Hanming Fang, 2008. "Understanding Overbidding In Second Price Auctions: An Experimental Study," Economic Journal, Royal Economic Society, vol. 118(532), pages 1572-1595, October.
    6. Bao, Yongchuan & Bao, Yeqing & Sheng, Shibin, 2011. "Motivating purchase of private brands: Effects of store image, product signatureness, and quality variation," Journal of Business Research, Elsevier, vol. 64(2), pages 220-226, February.
    7. Girish Punj, 2015. "The relationship between consumer characteristics and willingness to pay for general online content: Implications for content providers considering subscription-based business models," Marketing Letters, Springer, vol. 26(2), pages 175-186, June.
    8. Raydonal Ospina & Silvia Ferrari, 2010. "Inflated beta distributions," Statistical Papers, Springer, vol. 51(1), pages 111-126, January.
    9. Cong Feng & Scott Fay & K. Sivakumar, 2016. "Overbidding in electronic auctions: factors influencing the propensity to overbid and the magnitude of overbidding," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 241-260, March.
    10. McGee, Peter, 2013. "Bidding in private-value auctions with uncertain values," Games and Economic Behavior, Elsevier, vol. 82(C), pages 312-326.
    11. Ned Augenblick, 2016. "The Sunk-Cost Fallacy in Penny Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 58-86.
    12. Anthony Vance & Christophe M. Elie-Dit-Cosaque & Detmar W. Straub, 2008. "Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture," Post-Print halshs-00641137, HAL.
    13. Ospina, Raydonal & Ferrari, Silvia L.P., 2012. "A general class of zero-or-one inflated beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1609-1623.
    14. Toomas Hinnosaar, 2013. "Penny Auctions are Unpredictable," Carlo Alberto Notebooks 305, Collegio Carlo Alberto.
    15. repec:dau:papers:123456789/2723 is not listed on IDEAS
    16. Tülin Erdem & Michael P. Keane & Baohong Sun, 2008. "A Dynamic Model of Brand Choice When Price and Advertising Signal Product Quality," Marketing Science, INFORMS, vol. 27(6), pages 1111-1125, 11-12.
    17. Neugebauer, Tibor & Selten, Reinhard, 2006. "Individual behavior of first-price auctions: The importance of information feedback in computerized experimental markets," Games and Economic Behavior, Elsevier, vol. 54(1), pages 183-204, January.
    18. Joo, Mingyu & Mazumdar, Tridib & Raj, S.P., 2012. "Bidding Strategies and Consumer Savings in NYOP Auctions," Journal of Retailing, Elsevier, vol. 88(1), pages 180-188.
    19. Gonçalves, Ricardo, 2008. "Irrationality in English auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 67(1), pages 180-192, July.
    20. Currim, Imran S. & Mintz, Ofer & Siddarth, S., 2015. "Information Accessed or Information Available? The Impact on Consumer Preferences Inferred at a Durable Product E-commerce Website," Journal of Interactive Marketing, Elsevier, vol. 29(C), pages 11-25.
    21. Paul A. Pavlou & David Gefen, 2004. "Building Effective Online Marketplaces with Institution-Based Trust," Information Systems Research, INFORMS, vol. 15(1), pages 37-59, March.
    22. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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    Cited by:

    1. Rainer Alt & Carsta Militzer-Horstmann, 2017. "Electronic Markets on the media industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 1-5, February.
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    3. Rainer Alt, 2020. "Electronic Markets on sustainability," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 667-674, December.

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