An Investigation of the Contingency Dimensions of Performance Evaluation Systems of Key Employees through Human Resource Architecture

Document Type : Research Paper

Authors

1 Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan

2 Department of Management, Faculty of Administrative sciences and Economics, University of Isfahan.

Abstract

The purpose of this research is to investigate the contingency dimensions of the key employees’ performance evaluation systems in two phases. The first phase is devoted to identifying, categorizing, and arranging different businesses settings in Isfahan municipality. Using the panel of experts at this stage, the jobs were grouped and the data was collected through localized community questionnaire from the experts community. The questionnaire was validated through content validity and content validity indicators, and its reliability was confirmed by Cronbach's alpha. Data analysis was conducted by mean scatter analysis. The results of this study indicated that 364 jobs identified in Isfahan municipality can be categorized into three groups of key personnel, traditional employees and hired employees. In the second phase, the contingency dimensions of the key performance evaluation system were identified. They were tested by a researcher-made questionnaire. The validity of the questionnaire was tested by convergent and divergent validities, and its reliability was tested by Cronbach's alpha. Structural equation and one-way mean calculation were used for data analysis. The findings of this phase included the key performance evaluation system consisting of objective and process-based indicators, a relative evaluation method through free distribution and extensive inputs with long-term scheduling.

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 25-50

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History

  • Receive Date: 08 July 2018
  • Revise Date: 14 September 2018
  • Accept Date: 12 February 2019

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