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Online Auctions End Time and its Impact on Sales Success – Analysis of the Odds Ratio on a Selected Central European Market

Author

Listed:
  • Zakonnik Łukasz

    (Ph.D., Faculty of Economics and Sociology, University of Lodz, Poland)

  • Czerwonka Piotr

    (Ph.D. Faculty of Management, University of Lodz, Poland)

  • Zajdel Radosław

    (Prof. Faculty of Economics and Sociology, University of Lodz, Poland)

Abstract

Research background: E-commerce is developing rapidly, especially during the Covid19 pandemic. This fact can benefit individuals who want to sell their already used goods. Importantly, for sellers, it is not always a priority to get the highest price, but sometimes it is simply effective to get rid of the goods at a satisfactory price.

Suggested Citation

  • Zakonnik Łukasz & Czerwonka Piotr & Zajdel Radosław, 2022. "Online Auctions End Time and its Impact on Sales Success – Analysis of the Odds Ratio on a Selected Central European Market," Folia Oeconomica Stetinensia, Sciendo, vol. 22(2), pages 246-264, December.
  • Handle: RePEc:vrs:foeste:v:22:y:2022:i:2:p:246-264:n:9
    DOI: 10.2478/foli-2022-0029
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    References listed on IDEAS

    as
    1. Kamins, Michael A. & Noy, Avi & Steinhart, Yael & Mazursky, David, 2011. "The Effect of Social Cues on Sniping Behavior in Internet Auctions: Field Evidence and a Lab Experiment," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 241-250.
    2. Fredrik Ødegaard & Martin L. Puterman, 2012. "Estimating intermediate price transitions in online auctions," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 28(6), pages 529-541, November.
    3. Ravi Bapna & Robert Day & Sarah Rice, 2020. "Allocative Efficiency in Online Auctions: Improving the Performance of Multiple Online Auctions Via Seek‐and‐Protect Agents," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1878-1893, August.
    4. Bose, Subir & Daripa, Arup, 2017. "Shills and snipes," Games and Economic Behavior, Elsevier, vol. 104(C), pages 507-516.
    5. Vinci Chow, 2019. "Predicting Auction Price of Vehicle License Plate with Deep Residual Learning," Papers 1910.04879, arXiv.org.
    6. Babak Zafari & Refik Soyer, 2021. "Assessment of uncertainty in bid arrival times: A Bayesian mixture model," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(11), pages 2517-2528, November.
    7. 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.
    8. Paul Klemperer, 2004. "Auctions: Theory and Practice," Online economics textbooks, SUNY-Oswego, Department of Economics, number auction1.
    9. Kannan Srinivasan & Xin Wang, 2010. "Commentary--Bidders' Experience and Learning in Online Auctions: Issues and Implications," Marketing Science, INFORMS, vol. 29(6), pages 988-993, 11-12.
    10. Onur, Ilke & Velamuri, Malathi, 2014. "Competition, endogeneity and the winning bid: An empirical analysis of eBay auctions," Information Economics and Policy, Elsevier, vol. 26(C), pages 68-74.
    11. Paul Klemperer, 2004. "Auctions: Theory and Practice," Online economics textbooks, SUNY-Oswego, Department of Economics, number auction1.
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    More about this item

    Keywords

    online auction; online sale; end time; bidding; e-commerce;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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