Design of Human Resource Retention Model Based on Structural Equation in Smart Pls Software (Case Study: Knowledge-Based Organizations of Tehran Province)

Document Type : Original Article

Authors

1 PhD Student in Public Management, Department of Public Administration, Qazvin Branch, Islamic Azad University, Qazvin, Iran

2 Professor and Manager, Department of management and accounting, Allameh Tabatabai University, Tehran, Iran

3 Assistant Professor and Manager, Department of Public Administration, Qazvin Branch, Islamic Azad University, Qazvin, Iran

10.22034/bs.2024.2014567.2886

Abstract

Organizations compete based on the talents of their employees by attracting and keeping the most knowledgeable employees. The aim of this article is designing a model for retention of human resources in knowledge-based organizations. The method is mixed. The tool is a researcher-made questionnaire consisting of 83 components extracted from research literature and experts' opinions based on two rounds of Delphi. The statistical society is formed by managers and experts of 3160 knowledge-based organizations available in Tehran province. 350 questionnaires were collected through stratified sampling based on 8 technology areas of organizations according to Cochran's formula. A content validity test was used for the validity of questionnaire, which was approved by the relevant experts for this purpose. Reliability was obtained using alpha Cronbach 97/5%. Exploratory factor analysis in SPSS and confirmatory factor analysis in Smart PLS were used to classify the components. According to the results obtained, 2 parts of the response to knowledge workers included 3 factors creating job opportunities, ability management, creating a creative environment and knowledge management including 5 factors competence management, smart capital management, knowledge management, talent management and performance management, represent the model and the results of the factor analysis confirm the model in the Smart PLS. Knowledge employees are the main contributors to the industry and economy. Considering the results of the present research, it is necessary for managers to use the obtained model as a reliable tool in the field of human resource retention in knowledge-based organizations, and decision-making.

Keywords



Articles in Press, Accepted Manuscript
Available Online from 18 February 2024
  • Receive Date: 29 October 2023
  • Revise Date: 20 January 2024
  • Accept Date: 21 January 2024