Leveraging Artificial Intelligence And Life Skills For Sustainable Success In Mergers And Acquisitions: The Critical Role Of Human Behavior

Authors

  • Arzoo Gupta Research Scholar (Management), Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh
  • Vandana Pareek Professor, Department of Management Studies, Dronacharya Group of Institutions, Greater Noida, U.P.

DOI:

https://doi.org/10.69968/ijisem.2024v3si2177-183

Keywords:

Artificial Intelligence, sustainability, mergers and acquisitions, human behavior, firm performance, life skills, cultural alignment, adaptability, emotional intelligence

Abstract

As Artificial Intelligence (AI) increasingly shapes corporate strategic frameworks, its significance in enhancing organizational performance during mergers and acquisitions (M&A) is becoming paramount. This research examines the dynamic relationship among AI, sustainability, and life skills, focusing on the influence of human behavior on M&A outcomes. Although AI offers methodologies to assess and predict behavioral trends, the usefulness of these initiatives is primarily dependent upon human elements like leadership ability, cultural differences, and employee integration. The study explains how AI can improve obstacles like resistance to change and cultural discord, which are widespread in M&A activities. Furthermore, incorporating life skills—encompassing adaptability, emotional intelligence, and collaborative problem-solving—is critical for harmonizing AI initiatives with sustainable business methodologies. By integrating AI-generated insights with a focus on human behavioral dynamics, organizations can attain more resilient and sustainable results in M&A endeavors.

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Published

28-12-2024

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Articles

How to Cite

[1]
Arzoo Gupta and Vandana Pareek 2024. Leveraging Artificial Intelligence And Life Skills For Sustainable Success In Mergers And Acquisitions: The Critical Role Of Human Behavior. International Journal of Innovations in Science, Engineering And Management. 3, 2 (Dec. 2024), 177–183. DOI:https://doi.org/10.69968/ijisem.2024v3si2177-183.