Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: This study explores the transformative role of artificial intelligence (AI) in business model innovation (BMI), examining how AI enhances value creation, delivery, and capture. It identifies trends and research gaps to understand AI's influence on business modelling. Need for the Study: AI is reshaping business practices and models across industries. The rapid pace of AI development necessitates prioritizing research on its most impactful aspects. Summarizing trends and identifying gaps while linking them to AI advancements highlights critical areas for future exploration. Methodology: A literature review analysed academic papers and case studies from reputable databases. Core AI technologies, including Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, and Deep Learning, were examined concerning critical processes in business model innovation, namely, value creation, value capturing, and value delivery. Findings: The review identified trends in AI-supported business modelling, such as operational efficiency, customer personalization, and strategic decision-making, with challenges like data privacy, algorithmic bias, and workforce adaptation remaining underexplored. Gaps include the absence of longitudinal studies, limited sector-specific analyses, and insufficient research on integrating AI with traditional business models. Practical Implications: The findings emphasize the need for interdisciplinary research and ethical frameworks to guide AI adoption. Businesses should concentrate on scalable AI solutions, customer-centric innovation, and overcoming integration barriers to fully leverage AI’s potential for sustainable growth. This study establishes a foundation for future research, highlighting the responsible and strategic implementation of AI in BMI.