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Asymmetric effects, regulatory focus, and attribute satisfaction—Mixed experimental evidence in airline overbooking recovery

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  • Zhang, Xiang
  • Chen, Rongqiu

Abstract

Asymmetric effects and regulatory focus are two fundamental rules behind an individual’s judgment and motivation. While recent research on loss aversion presents mixed evidence, the literature on satisfaction studies provides little insight into the influence of regulatory systems on satisfaction. Moreover, literature regarding the potential interactions between asymmetric effects and regulatory focus is missing. In this paper, we examined the inconsistent evidence regarding loss aversion and various asymmetric effects in different types of regulatory focus at the attribute level. We conducted an experimental study in a setting of airline overbooking recovery in the Chinese airline industry. Our evidence shows that regulatory focus influences asymmetric effects. Participants with different types of regulatory focus have different priorities in recovery attributes and exhibit quite different patterns of asymmetric effects. We identify four different asymmetric effects and find one failure to present — an effect in our study. In addition, we present a regulatory focus-based dummy regression model, which is a more general method that nests previous research on attribute-satisfaction as a special case. The results, together with the newly proposed passenger classification (time fixed versus time flexible), underpin a more realistic assumption for future theory building and can thus help airline companies design a better recovery strategy for revenue management.

Suggested Citation

  • Zhang, Xiang & Chen, Rongqiu, 2013. "Asymmetric effects, regulatory focus, and attribute satisfaction—Mixed experimental evidence in airline overbooking recovery," International Journal of Production Economics, Elsevier, vol. 142(1), pages 27-36.
  • Handle: RePEc:eee:proeco:v:142:y:2013:i:1:p:27-36
    DOI: 10.1016/j.ijpe.2012.07.022
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    1. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
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    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. Aaker, Jennifer L. & Lee, Angela Y., 2006. "Understanding Regulatory Fit," Research Papers 1910, Stanford University, Graduate School of Business.
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    Cited by:

    1. Dalalah, Doraid & Ojiako, Udechukwu & Chipulu, Maxwell, 2020. "Voluntary overbooking in commercial airline reservations," Journal of Air Transport Management, Elsevier, vol. 86(C).
    2. Wang, Xiaojia & Fung, Richard Y.K., 2014. "An option-based hedging mechanism for managing the risk of overbooking in parallel airline alliances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 146-162.
    3. Zhang, Xiang, 2014. "Reference-dependent electric vehicle production strategy considering subsidies and consumer trade-offs," Energy Policy, Elsevier, vol. 67(C), pages 422-430.

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