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Sustaining police officers’ motivation in aviation security

Author

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  • Ismail Cenk Demirkol

    (Michigan State University)

  • Mahesh K. Nalla

    (Michigan State University)

Abstract

The focus of the present study is airport police officers. The aim of this study is to examine factors that determine and shape airport police officers’ work motivation in the context of goal-setting theory advanced by Locke and Latham (1990a) to improve the effectiveness of airport security. More specifically, we ask whether goal difficulty and goal specificity influence officers’ motivation. Additionally, we seek to determine if goal commitment, task significance, self-efficacy, feedback, rewards, and participatively set goals have a positive effect on police officers’ motivation. The results indicate that goal difficulty, goal specificity, task significance, commitment, self-efficacy, and rewards are related to police officers’ sense of motivation. That is, the goal-setting model is a practical tool that increases motivational skills of airport police officers to bolster aviation security. Thus, this model is a good starting point for assisting airport police officers in their work context and offering important insights and implications, theoretically and practically, in the field of aviation security.

Suggested Citation

  • Ismail Cenk Demirkol & Mahesh K. Nalla, 2017. "Sustaining police officers’ motivation in aviation security," Journal of Transportation Security, Springer, vol. 10(3), pages 171-187, December.
    • Handle: RePEc:spr:jtrsec:v:10:y:2017:i:3:d:10.1007_s12198-017-0185-6
    DOI: 10.1007/s12198-017-0185-6
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    References listed on IDEAS

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    1. Mento, Anthony J. & Steel, Robert P. & Karren, Ronald J., 1987. "A meta-analytic study of the effects of goal setting on task performance: 1966-1984," Organizational Behavior and Human Decision Processes, Elsevier, vol. 39(1), pages 52-83, February.
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    6. Latham, Gary P. & Locke, Edwin A., 1991. "Self-regulation through goal setting," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 212-247, December.
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