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Front. Psychol. | doi: 10.3389/fpsyg.2018.02223

Employee Competitive Attitude and Competitive Behavior Promote Job-Crafting and Performance: A Two-Component Dynamic Model

Haifeng Wang1,  Lei Wang2, 3* and  Chunquan Liu3
  • 1Sunshine Life Insurance Corporation Limited, China
  • 2Peking University, China
  • 3School of Psychological and Cognitive Sciences, Peking University, China

While competition has become increasingly fierce in organizations and in the broader market, the research on competition at an individual level is limited. Most existing research focuses on trait competitiveness. We argue that employee competitiveness can be state-like and can be demonstrated as an attitude toward and behavior representative of competition. We therefore propose a dynamic model with two separate components: competitive attitude and competitive behavior. Drawing upon self-determination theory and the person-environment interaction perspective, we examine how employee competitive attitude and competitive behavior can be influenced by both personal characteristics and team climate, which in turn leads to different work outcomes, as demonstrated in two studies. Study 1 developed measures for competitive attitude and competitive behavior. Study 2 collected data from salespeople in a large insurance company in three waves. The results showed that employee competitive attitude and behavior could be predicted by personality. Moreover, employee competitive attitude and behavior were related to sales performance in differential ways via job crafting, and these mediated relationships could be moderated by team climate. These findings support the two-component dynamic model combining competitive attitude and behavior, which helps promote understanding of the dynamics of competition and its consequences at the individual level. Theoretical and practical implications are also discussed.

Keywords: competition, competitive attitude, Competitive Behavior, trait competitiveness, sales performance, team competitive climate, Job crafting

Received: 28 Jul 2018; Accepted: 26 Oct 2018.

Edited by:

Gabriele Giorgi, Università Europea di Roma, Italy

Reviewed by:

Weipeng Lin, Nankai University, China
Lei Yao, Beijing Normal University, China  

Copyright: © 2018 Wang, Wang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Lei Wang, Peking University, Beijing, China, leiwang@pku.edu.cn