Ishan Management Stream

Strategic Integration of Artificial Intelligence in Business Management: Opportunities, Challenges, and Future Directions

Vrindha Bansal, Krishna Kumar Mishra

Management Stream, Vol. 2, No. 2 (2025)

Keywords:

Artificial Intelligence, Business Management, Digital Transformation, Machine Learning, Automation, Strategic Planning

Abstract

he strategic integration of artificial intelligence (AI) in business management represents one of the most transformative technological shifts of the 21st century. This paper examines the multifaceted landscape of AI adoption in contemporary business environments, analysing the opportunities for operational enhancement, the challenges organizations face during implementation, and the future directions that will shape AI-driven business management. Through comprehensive analysis of current industry practices and emerging trends, this research provides insights into how organizations can effectively leverage AI technologies to achieve competitive advantage while navigating associated risks and complexities

Authors

Vrindha Bansal

Assistant Professor, IIMT, Greater Noida

Krishna Kumar Mishra

Assistant Professor, IIMT, Greater Noida

Full Text
Published
IssueVol.2 No. 02, Year XXVII, 2025, IIMT
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How To Cite

Vrindha Bansal & Krishna Kumar Mishra (2026). Strategic Integration of Artificial Intelligence in Business Management: Opportunities, Challenges, and Future Directions. Management Stream, 6(02).

References

  1. McKinsey Global Institute, “The promise and challenge of the age of artificial intelligence,” McKinsey & Company, Oct. 2018. [Online]. Available: https://www.mckinsey.com/featured-insights/artificial-intelligence/the-promiseand-challenge-of-the-age-of-artificial-intelligence
  2. T. H. Davenport and R. Kalakota, “The potential for artificial intelligence in healthcare,” Future Healthcare Journal, vol. 6, no. 2, pp. 94–98, Jun. 2019. [Online]. Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616181/
  3. MIT Sloan Management Review, “Artificial Intelligence,” 2023. [Online]. Available: https://sloanreview.mit.edu/tag/artificial-intelligence/
  4. IEEE Computer Society, “Generative AI in enterprise operations,” IEEE Computer Society, Jun. 2024. [Online]. Available: https://www.computer.org/publications/tech-news/communityvoices/generative-ai-in-enterprise-operations/
  5. Deloitte, “State of Generative AI in the Enterprise,” Deloitte Development LLC, 2024. [Online]. Available: https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificialintelligence/content/state-of-generative-ai-in-enterprise.html
  6. P. R. Daugherty and H. J. Wilson, Human + Machine: Reimagining Work in the Age of AI. Boston, MA: Harvard Business Review Press, 2018.
  7. PwC, “Sizing the prize: What’s the real value of AI for your business and how can you capitalise?,” PwC Global, 2017. [Online]. Available: https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-theprize-report.pdf
  8. World Economic Forum, “The Future of Jobs Report 2023,” Geneva, Switzerland, May 2023. [Online]. Available: https://www.weforum.org/reports/the-future-of-jobs-report-2023/