Identify Key Indicators Affecting Team Performance Using Meta-Combination Method and Criteria through the Fuzzy Network Analysis Process

Document Type : Research Paper

Authors

1 Corresponding author: PhD candidate in industrial management, Systems, Faculty of Economics and Management, Islamic Azad University, Science and Research Unit of Tehran

2 Full Professor, Systems Management, Islamic Azad University, Faculty of Management and Economics, Science and Research Unit

3 Full professor of industrial management, Islamic Azad University, Faculty of Management and Economics, Science and Research Unit of Tehran

Abstract

The importance of work teams in organizational performance has recently drawn the attention of many scholars. So, it seems necessary to identify and rank indicators and criteria affecting team performance in organizations. This study is aimed at identifying and ranking the indicators and criteria affecting team performance in the Faculty of Management and Economics of Islamic Azad University, Science and Research Unit of Tehran. In the qualitative part of this research, meta-combination method is employed. Quantitative method is employed for ranking of the indicators and the criteria. To achieve this, field studies and meta-combination method are used to identify the criteria affecting team performance. SPSS software is applied in the qualitative analysis. The identified criteria have been referred to 22 experts at hand in order that they score on the basis of spatial scope of the research. In the next step, based on the results achieved by the experts' scoring of the criteria, seven indicator were identified with their criteria. In the next step, the ranking of indicators and criteria were identified.

Keywords

References

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Journal of Research in Human Resources Management
Volume 12, Issue 3 - Serial Number 41
NO 41, Fall Quarterly
November 2020
Pages 209-242

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  • Receive Date: 25 April 2021
  • Accept Date: 25 April 2021

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