Understanding the Procedural Pattern of Designing and Establishing Succession System in Government Agencies

Document Type : Research Paper

Authors

Department of Public Administration, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran

Abstract

Succession program is a basic requirement for government agencies. Government agencies should present their special successor programs according to the needs of the public sector and specific organizations. This study aims at understanding the successor patterns in the public sector. Employing the database method and especially the systematic approach of Strauss and Corbin, the procedural pattern of successor in government agencies was extracted. Having analyzed the interviews by the managers and experts of these organizations, more than 350 concepts were obtained in the first stage. In the selective coding phase, these concepts were classified and 41 central axes concepts related to the core category, namely, successor orientation concepts in government agencies, were extracted. Each of these concepts (causal conditions, ground conditions, strategies, intervening conditions, and outcomes) was then categorized in the related systematic model category. In conclusion, it was found out that being under political pressure by government agencies, request by parties, bureaucracy and administrative formalities, managers' instability, inefficiency of the unit of human resources management, attention to public values ​​and some certain conditions and limitations are present at government agencies influencing their implementation of the issues. It thus becomes evident that employing successor models of the private sector in the public sector is not recommended without considering the requirements of the public sector.
 

Keywords

References

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Journal of Research in Human Resources Management
Volume 9, Issue 4 - Serial Number 30
SERIAL NO.30
February 2018
Pages 55-80

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History

  • Receive Date: 05 May 2016
  • Revise Date: 09 December 2017
  • Accept Date: 08 January 2018

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