Defense-Human Capital Management

Defense-Human Capital Management

A Model of Key Factors Influencing the Networking of Elite Cores Using a Combined Approach of Thematic Network Analysis and Fuzzy Delphi

Document Type : Original Article

Authors
1 Associate Prof. in HRM, Command and Staff University of I.R.I Army, Tehran, Iran.
2 MSc. in Business Administration, Islamic Azad University, Science and Research Branch, Tehran, Iran.
10.22034/jdhcm.2026.2065933.1209
Abstract
Background and Purpose:
The development and advancement of a nation's scientific capacity require the identification and strategic placement of elite individuals, along with the formation of interconnected networks of elite corps to facilitate synergy among them. Accordingly, this study aims to identify the key factors influencing the networking of elite corps.
Methodology:
This research is developmental-applied in nature and follows an exploratory approach within a mixed-methods framework. The study was conducted in three main phases: a systematic review of academic literature and scientific sources, qualitative data analysis using thematic network analysis, and validation of the extracted components through the fuzzy Delphi method. The statistical population consisted of experts and specialists in the field of elite affairs and elite core development, as well as selected managers from the National Elites Foundation related to student talent initiatives. A purposive judgmental sampling method was employed, involving 26 participants. The Delphi questionnaire was administered in two rounds.
Findings:
A total of 20 influential factors in the networking of elite corps were identified and categorized into three dimensions: individual, organizational, and environmental.
Conclusion:
The identified factors can inform the design and implementation of policies and programs aimed at developing elite core networks across the country.
Keywords
Subjects


Articles in Press, Accepted Manuscript
Available Online from 21 February 2026

  • Receive Date 15 July 2025
  • Revise Date 22 November 2025
  • Accept Date 06 January 2026