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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

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  • 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. Purpose: The aim of this article is to analyze the impact of the broadly understood time of the end of the online auction on the success or failure of a sale. Research methodology: In the study, the raw odds ratio was used for the effect of a single variable. Next, the impact of specific variables within the set of risk factors was determined using the logistic regression. Results: Auctions ending in the evening were found to be more than 150% more likely to be successful, while night hours reduced the chance of success by 50%. The day’s most favorable for sales are Monday and Tuesday, the opposite pattern was observed for Wednesday, Thursday and Friday. An interesting relationship was found for the second half of the month, which increased the possibility of selling the goods by over 20%. Novelty: In the literature there are almost none that would focus on the analysis of the possibility of ending the auction with a sale (i.e. success) in the context of the auction end time on the Central European market. This issue is usually discussed on the side and has not been analyzed comprehensively – this paper is a step forward in this direction.

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

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    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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