Impact of Artificial Intelligence on the Business Decisions: A Qualitative Perspective

Authors

  • Muhammad Sufyan Ramish Associate Professor, Institute of Business and Health Management (IBHM), Ojha campus, Dow University of Health Sciences, Karachi, Sindh, Pakistan
  • Muhammad Yasir Assistant Professor, Institute of Business and Health Management (IBHM), Ojha campus, Dow University of Health Sciences, Karachi, Sindh, Pakistan
  • Dr. Zahra Nazim Assistant Professor & Incharge- Social Sciences & Allied, Institute of Business & Health Management, Dow University of Health Sciences, Karachi, Sindh, Pakistan

DOI:

https://doi.org/10.47205/jdss.2025(6-III)36

Keywords:

Artificial Intelligence, Business, Decision Making, Pakistan

Abstract

Artificial intelligence is the fastest growing technology of today's world. Almost every industrial or non-industrial sector is transforming its activities towards digital technology named artificial intelligence. This study aims to investigate how artificial intelligence impact the decision making process into different industries, especially in business sectors organization. A qualitative based approach was used to analyze this study. Data was gathered from the prior published study on the domain to identify that how much artificial intelligence is impacting the decisions in business sector. From the findings of literature analysis, it was found that in Pakistani business sector artificial intelligence usage is very minimal as compared to global usage. Although there are several recommendations for the business sector as per the results of this study, the main findings suggest the business sector increase the usage of artificial intelligence in business sector to increase their decision efficiency.

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Published

2025-08-18

Details

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    PDF Downloads: 5

How to Cite

Ramish, M. S., Yasir, M., & Nazim, Z. (2025). Impact of Artificial Intelligence on the Business Decisions: A Qualitative Perspective. Journal of Development and Social Sciences, 6(3), 414–422. https://doi.org/10.47205/jdss.2025(6-III)36