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http://dx.doi.org/10.15722/jds.19.7.202107.19

Quantitative Analysis: Team management for Better Employee Performance in the US Retail Supply Chain  

KANG, Eungoo (Saint Mary's University of Minnesota)
HWANG, Hee-Joong (Department of International Trade, Korea National Open University)
Publication Information
Journal of Distribution Science / v.19, no.7, 2021 , pp. 19-27 More about this Journal
Abstract
Purpose: Former research has argued that organizations in distribution channels face several issues to make a better team-based system. The purpose of the present research is to measure between employee's job performance and three major issues which disturb a solid team system. Research design, data and methodology: Scant past studies are available to guide for team practitioners which elements should be eliminated to improve team performance. To achieve this goal, the present authors obtained 267 US workers in distribution channels and conducted ANOVA test to measure the relationship between three team issues (Free-rider, Trust, and Communication) and job performance. Results: Our statistical findings clearly suggests that there was a statistically recognizable difference at the significance level of probability between the mean value of employees' job performance and three major issues, showing the high degree of job performance can be occurred by eliminating three major team issues. Conclusions: Therefore, the present research concludes that it is necessary that team-based management in the supply chain should focus on removing free-rider issues and also adopt open communication lines to overcome team-building challenges due to communication. Above all else, the ability to increase trust can be enhanced via task delegation and more team members' engagement.
Keywords
Team Performance; Supply Chain Management; Organizational Structure;
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