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A Tale of Passion: Linking Job Passion and Cognitive Engagement to Employee Work Performance

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  • Violet T. Ho
  • Sze‐Sze Wong
  • Chay Hoon Lee

Abstract

We propose a model of job passion that links two types of passion, harmonious and obsessive passion, to employees' work performance, via the mediating mechanism of cognitive engagement (comprising attention and absorption). Results from a survey conducted with 509 employees from an insurance firm indicate that employees with harmonious passion performed better at work, and that this relationship was mediated primarily by cognitive absorption, that is, the intensity of focus and immersion experienced by the employees when working. However, even though obsessive passion was negatively related to cognitive attention (i.e. the amount of cognitive resources spent thinking about work), it did not have a significant relationship to work performance overall. We identify and discuss research and practical implications for job passion and performance management.

Suggested Citation

  • Violet T. Ho & Sze‐Sze Wong & Chay Hoon Lee, 2011. "A Tale of Passion: Linking Job Passion and Cognitive Engagement to Employee Work Performance," Journal of Management Studies, Wiley Blackwell, vol. 48(1), pages 26-47, January.
  • Handle: RePEc:bla:jomstd:v:48:y:2011:i:1:p:26-47
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    File URL: http://hdl.handle.net/10.1111/j.1467-6486.2009.00878.x
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    1. Wilmar Schaufeli & Marisa Salanova & Vicente González-romá & Arnold Bakker, 2002. "The Measurement of Engagement and Burnout: A Two Sample Confirmatory Factor Analytic Approach," Journal of Happiness Studies, Springer, vol. 3(1), pages 71-92, March.
    2. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    3. Cardon, Melissa S. & Zietsma, Charlene & Saparito, Patrick & Matherne, Brett P. & Davis, Carolyn, 2005. "A tale of passion: New insights into entrepreneurship from a parenthood metaphor," Journal of Business Venturing, Elsevier, vol. 20(1), pages 23-45, January.
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