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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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    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.
    2. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
    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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