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Digital transformation in business and management research: An overview of the current status quo

📅 Published: December 15, 2021 👤 Sascha Kraus, Susanne Durst, João J. Ferreira et al. 📖 International Journal of Information Management 📊 943 citations
AI-Generated Summary

It is no surprise that research on digital transformation (DT) has raised vast interest among academics in recent decades. Based on these findings, the second objective of this paper will be to propose a synergistic framework that relates existing research on DT to the areas of business and management, which will help form the evolutionary perspective taken in this paper.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Countries, cities, industries, companies, and people all face the same challenge of adapting to a digital world.
  • 2 The aim of the paper is twofold.
  • 3 First, map the thematic evolution of the DT research in the areas of business and management, because existing research in these areas to date has been limited to certain domains.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Dec 15, 2021
Journal International Journal of Information Management
DOI 10.1016/j.ijinfomgt.2021.102466
Citations 943
Authors Sascha Kraus, Susanne Durst, João J. Ferreira, Pedro Mota Veiga, Norbert Kailer