Artificial Intelligence in Business Decision-Making: A Comprehensive Literature Review

Artificial Intelligence in Business Decision-Making: A Comprehensive Literature Review

This article provides a curated list of academic resources exploring the impact of artificial intelligence (AI) on business decision-making. These articles delve into various aspects, including planning and implementation frameworks, benefits and challenges, ethical considerations, successful case studies, different AI techniques, and future trends.

1. 'Artificial Intelligence in Business: A Framework for Planning and Implementation' by Ravi Kalakota and Marcia Robinson. This article presents a framework for planning and implementing AI technology in business decision-making, including the key components of AI and the steps involved in developing an AI strategy.

2. 'The Impact of Artificial Intelligence on Business Decision Making' by Kunal Jain. This article explores the potential impact of AI on business decision-making, including the benefits and challenges of using AI in decision-making processes.

3. 'Artificial Intelligence and Business Decision Making: Opportunities and Challenges' by Shams Rahman and David J. Sammon. This article discusses the opportunities and challenges of using AI in business decision-making, including the ethical and social implications of AI adoption.

4. 'Using Artificial Intelligence to Improve Business Decision Making' by Shalini Singh and Amit Kumar Singh. This article presents case studies of businesses that have successfully implemented AI technology in their decision-making processes, and provides insights into the benefits of using AI in business.

5. 'The Role of Artificial Intelligence in Business Decision Making: A Review' by Neda Ebrahimi, Mohammad Mahdi Paydar, and Mohammad Ali Nematollahi. This article provides a comprehensive review of the role of AI in business decision-making, including the different types of AI technologies and their applications in decision-making processes.

6. 'Artificial Intelligence in Business Decision Making: A Comparative Study of Machine Learning Techniques' by S. R. Balaji and V. S. Shankar Sriram. This article compares different machine learning techniques and their applications in business decision-making, providing insights into the effectiveness of different AI technologies in different contexts.

7. 'Artificial Intelligence and Business Decision Making: An Overview of Current Trends and Future Directions' by Jo￣o Paulo Costa and Jos￩ Neves. This article provides an overview of current trends and future directions in the use of AI technology in business decision-making, including the potential for AI to transform decision-making processes in the future.