Designing a Model for Succession Management System Based on Native Organizational Indicators

Document Type : Research Paper

Authors

1 PhD Student of Business Administration, 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.

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

Abstract

This research is intended to investigate the stages of establishing a model for succession management system for organizations. The statistical population of this research contain the senior managers of Zobeahan-e-Esfahan Company, among whom 19 people were selected as the sample through purposeful snowball sampling method. A semi-structured interview was conducted to determine the deployment stages. Then, by applying CVR and CVI, the researcher attempted to survey the content of the stages of establishing succession system by evaluating them through a questionnaire. Having conducted the interviews and after the identification of the main themes, the questionnaire was designed based on the indicators and sub-indicators of the themes. Data analysis was performed through SPSS software in quantitative phase, and thematic analysis was based on Clarke and Brown (2006) three-phase coding through NVivo software. The results indicated that six indicators, from 32 sub-indicators extracted from the interviews, were removed due to their low validity, and 26 indicators were verified by the model of measurement and fitness indexes in the Lisrel software, which occurs in procedural and gradual way. Also, it was found that each of the themes was the background of the previous one for establishing the system.

Keywords

References

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Journal of Research in Human Resources Management
Volume 10, Issue 1 - Serial Number 31
serial no.31
June 2018
Pages 25-50

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History

  • Receive Date: 03 October 2017
  • Revise Date: 17 March 2018
  • Accept Date: 10 April 2018

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