Evaluation of Team Quality

  • Vettrivel Gnaneshwaran Lecturer, University of Wisconsin at Platteville
  • Prasannavarada Thampi Visiting Faculty and PhD scholar, Amrita School of Business, Amrita University
  • K.G Satheesh Kumar Dean (Academics), Asian School of Business Technocity
  • Ram R Bishu Professor, Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Nebraska

Abstract

Competitive pressure and increasing market size have forced organizations to rely more on teams. This study has three objectives: to structure a list of attributes affecting the overall quality of a team; to use a survey tool to determine the significant ones among those attributes; and to compare between manufacturing and healthcare sectors. The data gathered were from employees working in teams in USA and China. A one-way analysis of variance and stepwise regression analysis was performed on the responses to determine team quality attributes. The ANOVA results for attributes versus teams revealed team efficacy, team trust, personality and skills & knowledge as significant. The stepwise regression analysis for team quality versus other attributes (for all the teams combined) showed that job satisfaction and team trust were significantly affecting the overall team quality. Analyses showed differences between China and USA.  

Author Biography

Ram R Bishu, Professor, Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Nebraska
Dr. Bishu is a faculty member at the Department of Mechanical and Materials Engineering,  University of Nebraska, Lincoln, Nebraska, USA.  He has over 40 years of experience. He is a fellow of ASQ, certified six sigma black belt consultant, certified quality manager, certified quality engineer, and a certified professional ergonomist.  He has over 200 research publications.  His areas of specialization are Quality and Ergonomics.  

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Published
2015-01-21
How to Cite
Gnaneshwaran, V., Thampi, P., Kumar, K. S., & Bishu, R. R. (2015). Evaluation of Team Quality. Industrial and Systems Engineering Review, 3(1), 37-48. Retrieved from http://watsonojs.binghamton.edu/index.php/iser/article/view/30