Vol. 3 No. 2 (2023): Journal of AI-Assisted Scientific Discovery
Articles

Artificial Intelligence in Change Management: Automating Impact Assessment and Stakeholder Communication

Jane Smith
Professor of Management, University of Technology, New York, USA
Cover

Published 05-12-2023

Keywords

  • Artificial Intelligence,
  • Change Management,
  • Impact Assessment,
  • Automation,
  • Organizational Change,
  • Technology Adoption
  • ...More
    Less

How to Cite

[1]
Jane Smith, “Artificial Intelligence in Change Management: Automating Impact Assessment and Stakeholder Communication”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 420–425, Dec. 2023, Accessed: Nov. 12, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/165

Abstract

This research paper examines the integration of Artificial Intelligence (AI) into change management, focusing on its potential to automate impact assessments and stakeholder communication. In an era where rapid technological advancements necessitate agile change management strategies, AI presents opportunities to enhance the effectiveness of these processes. By automating impact assessments, organizations can analyze potential changes' implications on various business dimensions, including financial, operational, and human factors. Additionally, AI facilitates seamless stakeholder communication by ensuring timely and accurate information dissemination. The findings indicate that incorporating AI not only accelerates the change implementation process but also improves the accuracy and reliability of assessments. The paper highlights real-world applications, challenges, and future directions for AI in change management, suggesting that organizations adopting these technologies will be better equipped to navigate complex change scenarios.

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