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Peaking at the right time: Perceptions, expectations, and effects

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  • Murtha, Brian R.

Abstract

We explore the concept of peaking at the right time. Study 1 is a content analysis of 325 National Football League articles identifying four key triggers that prompt proclamations of peaking at the right time: turnarounds, impressive prior events, winning streaks, and out-ofs. Study 2 experimental results reveal that turnarounds most strongly impact perceptions of peaking at the right time, anticipated performance, and expectations faced. However, nuanced differences occur across two time periods during the season. Studies 1 and 2 also indicate that observers expect teams to win their next games more often than actually happens. Study 3 demonstrates that teams prepare harder and make riskier game plans when their next opponent is peaking at the right time. Study 4 suggests that individuals more strongly desiring to peak at the right time than others will value various factors differently at different time points when envisioning upcoming seasons.

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  • Murtha, Brian R., 2013. "Peaking at the right time: Perceptions, expectations, and effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 120(1), pages 62-72.
    • Handle: RePEc:eee:jobhdp:v:120:y:2013:i:1:p:62-72
    DOI: 10.1016/j.obhdp.2012.09.003
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    1. Forsythe, Robert & Forrest Nelson & George R. Neumann & Jack Wright, 1992. "Anatomy of an Experimental Political Stock Market," American Economic Review, American Economic Association, vol. 82(5), pages 1142-1161, December.
    2. Folkes, Valerie S, 1988. "The Availability Heuristic and Perceived Risk," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(1), pages 13-23, June.
    3. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    4. Roger C. Vergin & Michael Scriabin, 1978. "Winning Strategies for Wagering on National Football League Games," Management Science, INFORMS, vol. 24(8), pages 809-818, April.
    5. Mussweiler, Thomas & Strack, Fritz, 2001. "The Semantics of Anchoring," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(2), pages 234-255, November.
    6. Camerer, Colin F, 1989. "Does the Basketball Market Believe in the 'Hot Hand'?," American Economic Review, American Economic Association, vol. 79(5), pages 1257-1261, December.
    7. Gray, Philip K & Gray, Stephen F, 1997. "Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-1737, September.
    8. Kolbe, Richard H & Burnett, Melissa S, 1991. "Content-Analysis Research: An Examination of Applications with Directives for Improving Research Reliability and Objectivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 243-250, September.
    9. repec:bla:jfinan:v:43:y:1988:i:4:p:995-1008 is not listed on IDEAS
    10. Alexander Chernev, 2011. "Semantic Anchoring in Sequential Evaluations of Vices and Virtues," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 761-774.
    11. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
    12. Gregory R. Durham & Michael G. Hertzel & J. Spencer Martin, 2005. "The Market Impact of Trends and Sequences in Performance: New Evidence," Journal of Finance, American Finance Association, vol. 60(5), pages 2551-2569, October.
    13. Kassarjian, Harold H, 1977. "Content Analysis in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(1), pages 8-18, June.
    14. Carlson, Kurt A. & Shu, Suzanne B., 2007. "The rule of three: How the third event signals the emergence of a streak," Organizational Behavior and Human Decision Processes, Elsevier, vol. 104(1), pages 113-121, September.
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    2. Avery, Derek R. & McKay, Patrick F. & Volpone, Sabrina D. & Malka, Ari, 2015. "Are companies beholden to bias? The impact of leader race on consumer purchasing behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 127(C), pages 85-102.

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