Entrepreneurship, Big Data, and AI Synergy
Description
This book examines the ways in which transformative technologies such as big data and artificial intelligence (AI) are revolutionizing the fundamentals of entrepreneurship, giving rise to new business models, decision-making, and value creation strategies in the digital economy. It critically explores how AI and data analytics are reshaping entrepreneurial ecosystems, startup finance, product innovation, and organizational design. It moves beyond the technical aspects to address ethical, societal, and regulatory issues of data-driven entrepreneurship. It also emphasizes the new obligations of digital entrepreneurs in forging a more sustainable, equitable, and smarter future.
Based on real-world cases studies, global policy initiatives, and interdisciplinary research, this book offers researchers, scholars, students, academics, practitioners, and policy makers with a comprehensive roadmap for digital entrepreneurship across industries and regions.
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Persons
Veland Ramadani is Professor of Entrepreneurship and Family Business at the Faculty of Business and Economics, South-East European University, North Macedonia. His research focuses on entrepreneurship, family business, innovation, and sustainability, with publications in leading journals such as the Journal of Business Research, Technological Forecasting and Social Change, and Review of Managerial Science. He is a frequent keynote speaker and guest lecturer internationally. Recognized among the world's top 2% most influential researchers by Elsevier and Stanford University for five consecutive years, he has also served on the Supervisory Board of the Development Bank of North Macedonia and contributed to numerous international projects and consultancy initiatives.
Andrea Caputo is Professor of Strategy and Negotiation at Lincoln International Business School, University of Lincoln, UK, and Associate Professor of Management at the University of Trento, Italy. His research focuses on negotiations, decision-making, entrepreneurship, and strategic management, with particular interest in integrative and strategic negotiations, cultural intelligence, women's entrepreneurship in developing countries, and innovation. Dr. Caputo has served as Editor-in-Chief for Strategic Change and the Journal of Enterprising Communities and is on the editorial board of multiple leading journals. He has published over 100 scholarly publications and has been ranked among the World's top 2% scientists by Elsevier and Stanford University for three consecutive years.
Christina Theodoraki is a Full Professor in Entrepreneurship at IAE Aix Marselle University, France. She is elected Program Chair at the Academy of Management, Entrepreneurship division. She is an Advisory Board Member at the Institute for Development Strategies at Indiana University, a Research Associate at the Chair of Entrepreneurship Territory Innovation (ETI) - IAE Paris-Sorbonne, Business Development Manager at the Entrepreneurial Ecosystem Research Network (EERN), Editor of Small Business Economics , Associate editor of the Journal of Small Business Management, Management & Prospective - Gestion 2000 , and Revue Internationale PME, and member of several journal editorial boards.
Shqipe Gërguri-Rashiti is a Provost at the American University of the Middle East (AUM) in Kuwait. She has a strong background in entrepreneurship research, focusing on female entrepreneurship in transition economies. Gërguri-Rashiti has co-authored influential works on entrepreneurship, innovation, and gender, including the book Female Entrepreneurship in Transition Economies: Trends and Challenges . Beyond research, she plays an active role in shaping university governance, academic policy, and fostering international cooperation in education. Her leadership is marked by a commitment to inclusivity, sustainable development, and empowering the next generation of entrepreneurs through education and practical engagement.
Content
Chapter 1: Introduction: Quantitative Translation and Interpreting Studies in the Age of AI.- Chapter 2: Entrepreneurial Decision-Making in the Algorithmic Age.- Chapter 3: Data-Driven Entrepreneurship: The Role of AI and Big Data in Start-Up Decision Making.- Chapter 4: AI-Driven Decision-Making in Organizational Settings: An Entrepreneurial Perspective.- Chapter 5: From Intuition to Intelligence: AI's Transformative Role in Startup Financing.- Chapter 6: Digital Resilience in a Disrupted World: Investigating How AI-Driven Decision-Making, Digital Literacy, and Entrepreneurial Agility Enhance Digital Entrepreneurship Success.- Chapter 7: The Hybrid Investor: Differentiating AI Adoption Strategies between Business Angels and Venture Capitalists.- Chapter 8: Ethics and AI in Business: An Essay on Delimiting Potential Risks and Rethinking Ethical AI.- Chapter 9: Data Governance and Ethical Control: How Management Control Frames AI and Big Data-Driven Entrepreneurship.- Chapter 10: Big Data Analytics and Business Performance: Mapping Research Trends, Gaps, and Future Directions.- Chapter 11: The Digital Intermediary: The New Role of University Incubators in the Era of AI and Big Data.- Chapter 12: AI Readiness and Data Poverty in African Women-Led Micro-Enterprises.- Chapter 13: The Future of Artificial Intelligence Entrepreneurship in Emerging Economies: The Case of Türkiye.- Chapter 14: Leveraging Big Data and AI for Sustainable Venture Capital in Entrepreneurial Ecosystems.- Chapter 15: Creative Frontiers under Generative AI: A Dynamic Efficiency Perspective.- Chapter 16: Humans-Generative Artificial Intelligence interaction: The Users' role in shaping the boundaries in an Entrepreneurial Simulated Scenario.- Chapter 17: The Diversity Debt: Why Inclusive Leadership is the Scarcest Resource in the AI-Driven Future of Work.- Chapter 18: Artificial Intelligence (AI) in HRM for the Digital Economy: An NMF Topic Modeling Review.- Chapter 19: AI Agents Across Industries: Transforming Employee, Customer, and Human Experience.- Chapter 20: Beyond the Human Founder: Future Perspectives on Human-AI Entrepreneurial Teams.- Chapter 21: Artificial Intelligence and Innovation Capability in SMEs: A Systematic Literature Review from the Dynamic Capabilities Perspective.- Chapter 22: Entrepreneurial Intelligence: Cognitive and Computational Drivers of Innovation in a Disrupted World.- Chapter 23: The Synergy of Entrepreneurship, Big Data and Artificial Intelligence: Synthesis and Future Research Avenues.