Management Studies in Development and Evolution

Representation of digital human resource management indicators in organizations with a Meta Synthesis approach

Articles in Press

Document Type : Research Paper

Authors

abouzar aghaei kordeshami 1
v ghorbanizadeh 2
MirAli Seyyed Naghavi 3
habib roodsaz 4

1 Allameh Tabatabaee university

2 Professor, Allameh Tabataba’i University

3 Professor Allameh Tabataba’i University

4 Associate Professor, Department of Public Administration, Faculty of Management and Accounting, Allameh Tabataba'i University

https://doi.org/10.22054/jmsd.2026.41661.4439
Abstract
The purpose of this research was to develop a digital human resource management model in organizations. The method of the research was the metacombination type. Out of 125 sources found during meta-synthesis, 31 articles met the acceptance criteria. Therefore, in order to analyze the data, primary themes were first identified, and then sub-themes were formed by categorizing the primary themes, and finally, the main themes were obtained through the categorization of the sub-themes. Based on the analyzes conducted with the help of thematic analysis method, a total of 4 main categories (organizational factors, human factors, technological factors and consequences) and 16 sub-categories for digital human resources management in organizations were discovered and identified. According to the obtained results, it is possible to suggest; By using the main and subcategories identified in this research, it worked towards the implementation and full use of digital human resource management in organizations. Also, when recruiting, selecting, hiring or even after hiring and employing them in the field of digital human resources management, it is possible to improve the productivity and efficiency of digital human resources management in organizations by using the indicators identified in this research.

Keywords

"Human resources"
"management"
" digitization"
"organizations"
Subjects
Management Studies in Development and Evolution

Articles in Press, Accepted Manuscript
Available Online from 22 September 2026

  • Receive Date 26 June 2024
  • Revise Date 22 December 2024
  • Accept Date 23 December 2024

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