AI-Enabled Enterprise Management for Digital Entrepreneurship: Integrating HR Analytics, Financial Planning, and Marketing Strategy Towards Sustainable Business Performance

Authors

  • Dr. Ashok Kumar Assistant Professor, Department of Management, L.N.Mishra Institute of Economic Development and Social Change, Patna, India. Author
  • Shahla Tabassum Imtiyaj Mansuri Assistant Professor, Department of Management, Dr. D Y PATIL VIDYAPEETH PUNE, India. Author
  • Dr. Mohsina Fatima Assistant Professor, Department of Management, LNMI Patna, India. Author
  • Dr. Mustafizul Haque Assistant Professor, (Department of Management) Lalit Narayan Mishra Institute Of Economic Development and Social Change, Patna- 800001, India. Author
  • Dr. Savya Sachi Assistant Professor, Department of Computer Applications, L N Mishra Institute of Economic Development and Social Change, Patna, Bihar, India. Author

DOI:

https://doi.org/10.69980/qtbgr995

Keywords:

artificial intelligence, enterprise management, HR analytics, financial planning, marketing strategy, machine learning, digital transformation, digital entrepreneurship, sustainable enterprise management, innovation strategy, AI-driven business transformation, organisational sustainability

Abstract

The current accelerated development of the artificial intelligence (AI) in all the organisational functions has opened new avenues of optimising the performance of the entire enterprise. In the present paper, a single theoretical and empirical framework will be provided to combine AI-based analytics in three key areas of management human resource (HR) analytics, financial planning, and marketing strategy. Based on the mixed methods research design, which includes a structured literature review, structured interviews of 47 top managers in 23 multinational organisations, and quantitative benchmarking of the performance of six commercial AI platforms, we can show that the holistic AI implementation shows statistically significant better performance along all three areas compared to siloed deployments. In particular, integrated AI solutions generate a 17.6 percentage-point rise in employee retention, a 22.5 percentage-point rise in the quality of revenue forecasts, and a 110.7% improvement in the likelihood of a successful marketing campaign (ROI). We also pinpoint six severe implementation problems such as biases in algorithms, regulatory compliance, and management of change in organisations, and suggest evidence-based mitigation measures in each. The paper makes a unique contribution of a Tri-Domain AI Integration (TDAI) model and offers practical recommendations to practitioners and policymakers who would like to operationalise AI adoption across an entire enterprise. Critically, the TDAI model advances sustainable organisational growth by embedding responsible AI governance, adaptive workforce management, and data-driven strategic innovation into a unified enterprise architecture. These capabilities position entrepreneurial firms and established enterprises alike to build long-term competitive advantage within digital entrepreneurship ecosystems, contributing to the growing body of knowledge on AI-enabled sustainable business transformation.

 

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Published

2026-03-24

How to Cite

AI-Enabled Enterprise Management for Digital Entrepreneurship: Integrating HR Analytics, Financial Planning, and Marketing Strategy Towards Sustainable Business Performance. (2026). Journal of Asia Entrepreneurship and Sustainability, 22(1S), 177-187. https://doi.org/10.69980/qtbgr995