Providing an Organizational Vitality Model Based on Human Resources Information Management

Document Type : Original Research Manuscripts

Authors

1 Ph.D. Candidate in Human Resource Management, Faculty of Humanities, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran.

2 Department of Management, Faculty of Human Resource, Azad University, Dehaghan , Iran

3 Department of Management, Faculty of Humanities, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran.

Abstract
The purpose of this research was to present an organizational vitality model based on information management and human resource data. Human resource information management is a process that seeks to increase organizational capability through the organization's employees, which is considered one of the most important success factors. The research was designed in a mixed qualitative and quantitative method and benefited from the foundation's data strategy. In the qualitative part, the data obtained from in-depth interviews with 25 general managers of social security of the provinces of the selected country were based on purposeful sampling. In the quantitative part, 376 people from the lower-level employees of this organization were selected in different regions of the country by stratified random method and answered the questions of the researcher-made questionnaire. Qualitative data were analyzed using the Grounded Theory and the quantitative data were analyzed through confirmatory factor analysis using SPSS and AMOS software. The results obtained from the qualitative phase of the research led to the design of a proposed conceptual model of organizational vitality in the social security organization, and in the quantitative phase, using path analysis, validity of the conceptual model was. evaluated. From the practical point of view, the proposed model can be implemented by social security organization managers to create vitality among employees in order to reduce depression and boost productivity.

Keywords


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  • Receive Date 15 October 2022
  • Revise Date 23 October 2022
  • Accept Date 15 December 2022