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Organizational costs of compensating for mind-body dissonance through conspiracies and superstitions

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  • Huang, Li
  • Whitson, Jennifer

Abstract

Maintaining physical expressions that contradict one’s internal states creates stress and burnout. Surprisingly, little is known about whether such incongruence affects organizationally relevant cognitive consequences. We propose that mind-body dissonance (MBD), a control-diminishing experience wherein the mind and body undergo contradictory states, increases compensatory illusory pattern perception (IPP) and jeopardizes decisions and trusting behavior. Experiments 1 and 2 found that being induced to display bodily expressions that contradict one’s emotions in a mental-physical coordination or customer service context, increased IPP in the form of conspiratorial and superstitious thinking. Experiment 3 found that MBD reduced trusting behavior through feelings of lacking control and conspiratorial thinking in serial. Finally, examining the mechanism through a moderation design, Experiment 4 found that misattributing feelings of lacking control to an external stimulus eliminated MBD’s effect on a superstition-related managerial decision. We discuss the value of this motivational approach in understanding MBD’s organizational implications.

Suggested Citation

  • Huang, Li & Whitson, Jennifer, 2020. "Organizational costs of compensating for mind-body dissonance through conspiracies and superstitions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 156(C), pages 1-12.
    • Handle: RePEc:eee:jobhdp:v:156:y:2020:i:c:p:1-12
    DOI: 10.1016/j.obhdp.2019.09.006
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    References listed on IDEAS

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    1. Huang, Li & Murnighan, J. Keith, 2010. "What's in a name? Subliminally activating trusting behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 111(1), pages 62-70, January.
    2. Kolb, Robert W & Rodriguez, Ricardo J, 1987. "Friday the Thirteenth: 'Part VII'--A Note," Journal of Finance, American Finance Association, vol. 42(5), pages 1385-1387, December.
    3. Kosuke Imai & Dustin Tingley & Teppei Yamamoto, 2013. "Experimental designs for identifying causal mechanisms," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(1), pages 5-51, January.
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