Designing a Comprehensive Model for the Formation and Deployment of Employees’ Performance Improvement through Meta-Synthesis Approach

Document Type : Research Paper

Authors

1 Ph.D Candidate of Public Administration, Department of Public Administration, Zahedan Unit, Islamic Azad University, Zahedan, Iran.

2 Associate Professor, Department of Public Administration, Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran

3 FProfessor, Department of Public Administration, Faculty of Management, University of Sistan and Baluchestan, Zahedan, Iran

4 Associate Professor, Department of Public Administration, Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran.

Abstract

This study is intended to provide a comprehensive model for the formation and deployment of employees’ performance improvement through meta-synthesis approach. This is an applied research following meta-synthesis method. The researcher has conducted a deep and in-depth investigation on the subject using the meta-synthesis method, and synthesized the findings of relevant qualitative researches. In this regard, 289 qualitative researches regarding employees’ performance were reviewed, from which 91 researches were selected. Then, dimensions and codes were identified through content analysis, and their significance and priority were determined using Shannon entropy. Research results indicated that the codes of employee development, employee training, job opportunities, organizational strategies and managerial skills, gained the highest importance among four dimensions of improvement of employee performance. Finally, having completed all research phases, the researchers presented a comprehensive model in three stages: identification, administration structure, and designing of a supportive program for improving employee performance.

Keywords

References

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Journal of Research in Human Resources Management
Volume 10, Issue 4 - Serial Number 34
serial no.34
February 2019
Pages 79-104

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History

  • Receive Date: 17 September 2018
  • Revise Date: 13 November 2018
  • Accept Date: 11 February 2019

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