Analysis of the Dimensions and Components of AI‑Based Digital Transformation Management

Document Type : Original Article (Qualitative)

Authors

Department of Educational Sciences, To.C., Islamic Azad University, Tonekabon, Iran

10.22034/jnamm.2026.550414.1173
Abstract
The aim of this research is to explore the dimensions and components of digital transformation management based on artificial intelligence in the education system. This research was conducted in a qualitative manner using thematic analysis method. Data collection and extraction of related themes were carried out using in-depth semi-structured interviews with key experts in this field. Participants were selected using purposive sampling and theoretical saturation criteria, based on which 12 experts were selected. To obtain the credibility and validity of the data, two methods were used: participant review and review of experts not participating in the research. Max Quda statistical software was also used to analyze the data. The results of the present study indicated that AI-based digital transformation management was designed in the form of four overarching categories: "contextual requirements", "digital infrastructure", "digital transformation management process", "organizational capital", 12 organizing categories: "ethical requirements", "cultural requirements", "organizational requirements", "hard digital infrastructure", "soft digital infrastructure", "digital transformation management process", "digital transformation planning", "prototyping", "learning", "human capital", "process capital", "structural capital", "social capital" and 73 basic categories.

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  • Receive Date 01 October 2025
  • Revise Date 01 January 2026
  • Accept Date 24 February 2026