A Review of Auction Fever in Auction Theory
DOI:
https://doi.org/10.54097/ehss.v2i.776Keywords:
Auction Fever, pseudo-endowment, opponent effect.Abstract
This paper summarizes the phenomenon of auction heat in auction theory, and mainly analyzes two different effects of auction heat: adversary effect and pseudo-endowment effect. In the pseudo-endowment effect, we have to understand that giving up something is much more painful than not getting the same thing. Thus, when an item is part of a person's endowment when the bidder forgoes the opportunity, it is considered a loss, and forgoing the opportunity to obtain the same item is considered a foregone gain. In the adversary effect, it creates a sense of competition and a desire to win. In addition, this paper also introduces the process of auction fever and discusses the positive or negative effects of auction fever on people in real life.
Downloads
References
Heyman J E, Orhun Y, Ariely D. Auction fever: The effect of opponents and quasi-endowment on product valuations [J]. Journal of interactive Marketing, 2004, 18(4): 7-21.
Adam M T P, Krämer J, Müller M B. Auction fever! How time pressure and social competition affect bidders’ arousal and bids in retail auctions [J]. Journal of Retailing, 2015, 91(3): 468-485.
Adam M T P, Krämer J, Jähnig C, et al. Understanding auction fever: A framework for emotional bidding [J]. Electronic Markets, 2011, 21(3): 197-207.
Cheng Qiyun, Sun Caixin, Zhang Xiaoxing, et al. Short-Term load forecasting model and method for power system based on complementation of neural network and fuzzy logic [J]. Transactions of China Electrotechnical Society, 2004, 19(10): 53-58.
Fangfang. Research on power load forecasting based on Improved BP neural network [D]. Harbin Institute of Technology, 2011.
Amjady N. Short-term hourly load forecasting using time series modeling with peak load estimation capability [J]. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.
Ma Kunlong. Short term distributed load forecasting method based on big data [D]. Changsha: Hunan University, 2014.
SHI Biao, LI Yu Xia, YU Xhua, YAN Wang. Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model [J]. Systems Engineering-Theory and Practice, 2010, 30(1): 158-160.
Heyman, J. E., Orhun, Y., & Ariely, D. (2004). Understanding auction fever: A framework for emotional bidding. Retrieved March 18, 2022, from https://www.researchgate.net/publication/220505543_Understanding_auction_fever_A_framework_for_emotional_bidding
Flemming, J. (2021, September 14). 'Homeless billionaire' Nicolas Berggruen wins Hearst estate auction with $63.1-million bid. Yahoo! Finance. Retrieved March 19, 2022, from https://finance.yahoo.com/news/homeless-billionaire-nicolas-berggruen-wins-224839713.html
Hendrickson, V. L. (2021, September 15). The Hearst Estate, one of Los Angeles's most historic homes, sells at auction for $63.1 million. Mansion Global. Retrieved March 19, 2022, from https://www.mansionglobal.com/articles/the-hearst-estate-one-of-los-angeless-most-historic-homes-sells-at-auction-for-63-1-million-228698
Staff, T. R. D. (2021, September 15). Nicolas Berggruen buys Hearst Mansion for $63m. The Real Deal Los Angeles. Retrieved March 19, 2022, from https://therealdeal.com/la/2021/09/15/sold-billionaire-pays-63m-at-auction-for-hearst-estate/
Adam, M. T., Krämer, J., Jähnig, C., Seifert, S., & Weinhardt, C. (2011). Understanding auction fever: A framework for emotional bidding. Electronic Markets, 21(3), 197–207. https://doi.org/10.1007/s12525-011-0068-9
Ku, G., Malhotra, D., & Murnighan, J. K. (2004, December 13). Towards a competitive arousal model of decision-making: A study of auction fever in live and internet auctions. Organizational Behavior and Human Decision Processes. Retrieved March 28, 2022, from https://www.sciencedirect.com/science/article/abs/pii/S0749597804000925
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






