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tootian, S., Shah Mirzalu, N., laali, F., saydi, F. (2025). Identifying predictive factors of digital-oriented human resource management in Iran's knowledge-based companies, a qualitative research. Electronic and Cyber Defense, 16(4), 35-69.
sedigheh tootian; Neda Shah Mirzalu; fatemeh laali; Fazel saydi. "Identifying predictive factors of digital-oriented human resource management in Iran's knowledge-based companies, a qualitative research". Electronic and Cyber Defense, 16, 4, 2025, 35-69.
tootian, S., Shah Mirzalu, N., laali, F., saydi, F. (2025). 'Identifying predictive factors of digital-oriented human resource management in Iran's knowledge-based companies, a qualitative research', Electronic and Cyber Defense, 16(4), pp. 35-69.
tootian, S., Shah Mirzalu, N., laali, F., saydi, F. Identifying predictive factors of digital-oriented human resource management in Iran's knowledge-based companies, a qualitative research. Electronic and Cyber Defense, 2025; 16(4): 35-69.

Identifying predictive factors of digital-oriented human resource management in Iran's knowledge-based companies, a qualitative research

پژوهش‌های مدیریت منابع انسانی
Volume 16, Issue 4 - Serial Number 58, March 2025, Pages 35-69    PDF (1.27 M)
Document Type: Research Paper
Authors
sedigheh tootian1; Neda Shah Mirzalu2; fatemeh laali3; Fazel saydi* 4
1Department of Management, West Tehran Branch, Islamic Azad University, Tehran, Iran
2Doctor of specialization, public administration, decision-making and linear meshing, Faculty of Management and Accounting, Islamic Azad University, Tehran Branch
3PhD in Public Administration, Human Resource Management, Faculty of Management, Islamic Azad University, Tehran, Iran
4PhD in Public Administration, Faculty of Management, Islamic Azad University, Tehran, Iran
Receive Date: 22 November 2023,  Revise Date: 22 October 2024,  Accept Date: 09 March 2025 
Abstract
The purpose of the current research is to identify and validate the predictive factors of digital human resource management in Iran's knowledge-based companies. The present research is applied in terms of the philosophical assumptions of the interpretive model and in terms of audience studies. The research sample in the qualitative phase of the academic field experts include university professors, members of the scientific team and managers of knowledge-based companies, and a total of 15 experts were interviewed to collect qualitative data. The qualitative research approach and strategy used is theme analysis using MAXQDA software. The research results showed 34 primary themes (indicators), 14 sub-themes (dimensions) and 7 main themes as predictors (digital competence, digital culture, digital capabilities, digital human resources, digital innovation, digital workforce, gamification) for this The meaning was identified. In this research, indicators and effective factors on digital human resources management based on the natural conditions of Iranian society and especially knowledge-based companies were calculated. Also, the present research helps to enrich the theoretical foundations of digital human resource management.
Keywords
Digital-oriented human resource management; knowledge-based companies; theme analysis
References
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