Artificial Intelligence as a Strategic Tool for Corporate Decision-Making in Modern Businesses: An Indian Perspective

Authors

  • Chhavneet, Shikha Kuchhal, Ajay Kumar Garg

Keywords:

Artificial Intelligence, Corporate Decision-Making, Business Strategy, Indian Companies, Data Analytics, Machine Learning, Digital Transformation, Strategic Management

Abstract

Artificial Intelligence (AI) has emerged as a powerful strategic tool that is reshaping how modern businesses take decisions. In the Indian corporate environment, organizations are increasingly adopting AI-driven systems to improve efficiency, accuracy, speed, and competitiveness in decision-making processes. From finance and marketing to supply chain management and human resource planning, AI tools such as machine learning, data analytics, natural language processing, and predictive modelling are supporting managers and top executives in making informed and timely decisions. This research paper examines the role of Artificial Intelligence as a strategic decision-making tool in Indian businesses, with a special focus on large corporations, startups, and public sector enterprises. The study discusses the conceptual foundations of AI, its evolution in the Indian context, and its application in corporate decision-making functions. It also highlights the strategic advantages of AI adoption, including cost reduction, risk minimization, improved forecasting, and enhanced customer engagement. The paper uses secondary data from published reports, industry surveys, government publications, and academic literature between 2014 and 2023. Simple statistical tables, decision models, and illustrative equations are used to explain how AI supports corporate strategies. The findings suggest that while AI adoption in India is growing rapidly, challenges such as data quality, skill gaps, ethical concerns, and regulatory uncertainties continue to limit its full potential. The paper concludes with practical recommendations for Indian businesses to effectively integrate AI into their strategic decision-making frameworks. This research contributes to the understanding of AI-driven corporate strategies in emerging economies like India.

Downloads

Download data is not yet available.

References

Davenport, T. H., & Ronanki, R. (2014). Big data analytics and business intelligence. Harvard Business Review, 92(1), 98–107.

Reserve Bank of India. (2015). Report on technology adoption in Indian banking. RBI Publications, Mumbai.

Mishra, A., & Singh, R. (2016). Decision support systems and analytics in Indian firms. Indian Journal of Management, 9(2), 34–42.

NITI Aayog. (2017). National strategy for artificial intelligence. Government of India.

Gupta, S., & George, J. (2017). Digital transformation and analytics capability. Information Systems Journal, 27(3), 341–375.

MeitY. (2018). Artificial intelligence initiatives in India. Ministry of Electronics and IT, Government of India.

Kaur, P., & Arora, S. (2018). AI adoption in Indian banking sector. International Journal of Bank Marketing, 36(4), 640–656.

Sharma, R., & Jain, P. (2018). Predictive analytics for business decisions. Journal of Business Analytics, 1(2), 89–102.

Bhatia, R., & Sinha, A. (2019). Machine learning applications in Indian enterprises. IIMB Management Review, 31(3), 245–256.

PwC India. (2019). AI impact on Indian businesses. PwC Report.

Accenture India. (2019). Artificial intelligence and future of work in India. Accenture Insights.

NASSCOM. (2020). AI adoption and maturity in India. NASSCOM Report.

McKinsey India. (2020). The state of AI in India. McKinsey & Company.

Chatterjee, S., & Bhattacharjee, K. (2020). AI-driven strategic decisions. Decision Support Systems, 133, 113–118.

Singh, N., & Sharma, A. (2021). Organizational readiness for AI. Indian Journal of Industrial Relations, 56(3), 412–428.

Deloitte India. (2021). Data and AI transformation in Indian enterprises. Deloitte Insights.

World Economic Forum India. (2021). AI adoption challenges in emerging economies. WEF Report.

KPMG India. (2022). AI in financial decision-making. KPMG Insights.

Infosys. (2022). AI skills and workforce transformation in India. Infosys Research.

TCS. (2022). Responsible AI framework for enterprises. Tata Consultancy Services.

Bansal, M., & Verma, R. (2022). AI-based customer analytics in India. Journal of Retailing and Consumer Services, 68, 102–109.

Ministry of Electronics and IT. (2023). Digital Personal Data Protection framework. Government of India.

EY India. (2023). AI in supply chain and operations. EY Report.

IBM India. (2023). AI-driven decision intelligence. IBM White Paper.

Agarwal, P., & Mehta, S. (2023). Strategic value of AI in Indian corporations. Asian Journal of Business Research, 13(2), 55–69.

Downloads

Published

25.12.2023

How to Cite

Chhavneet. (2023). Artificial Intelligence as a Strategic Tool for Corporate Decision-Making in Modern Businesses: An Indian Perspective. International Journal of Intelligent Systems and Applications in Engineering, 12(2), 844 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/8048

Issue

Section

Research Article