Research Credits

Research Credits

Foundations of Autonomous Business Emergence

  • Wooldridge, M. (2009). An Introduction to MultiAgent Systems. John Wiley & Sons. (Academic)

  • Swan, M. (2015). Blockchain: Blueprint for a New Economy. O’Reilly Media. (Industry/Academic)

  • Tapscott, D., & Tapscott, A. (2016). Blockchain Revolution. Penguin. (Industry)

  • Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. (Academic)

  • “What are multi-agent systems?” SAP Insights, 2025https://www.sap.com/resources/what-are-multi-agent-systems

  • “Case Profiles of Decentralized Autonomous Organizations,” Belfer Center, 2025

Key Challenges and Obstacles

  • Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review. (Industry)

  • Rahwan, I., et al. (2019). Machine behaviour. Nature. (Academic)

  • Morley, J., et al. (2020). Ethical guidelines for trustworthy AI. European Commission. (Industry/Policy)

  • “Why autonomous AI demands all-of-business collaboration,” Deloitte, 2025

  • “Challenges of Agentic AI: Can Businesses Trust Autonomous Agents,” Madison Technologies, 2025

Case Studies and Real-World Examples

  • “10 Real-Life Examples of how AI is used in Business,” University of San Diego Online Degrees, 2025

  • Bernard Marr, “The 10 Best Examples Of How Companies Use Artificial Intelligence,” Forbes, 2021

  • Ajuna Network & MakerDAO case studies on decentralized governance, various blockchain reports (Industry)

  • “Emergent Change — Case Studies,” ACUK Ltd, 2015

  • “Case Profiles of Decentralized Autonomous Organizations,” Belfer Center, 2025

Potential Benefits and Risks

  • Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age. W.W. Norton & Company. (Academic/Industry)

  • Calo, R. (2018). Artificial Intelligence Policy: A Primer and Roadmap. U.C. Davis Law Review. (Academic)

  • “Why autonomous AI demands all-of-business collaboration,” Deloitte, 2025

  • “Challenges of Agentic AI,” Madison Technologies, 2025

Creative Approaches and Future Outlook

  • Ostrom, E. (1990). Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press. (Academic)

  • Malone, T.W., et al. (2017). Harnessing Crowds: Mapping the Genome of Collective Intelligence. MIT Sloan Management Review. (Academic/Industry)

  • Tapscott, D., & Tapscott, A. (2017). The Blockchain Economy. Harvard Business Review. (Industry)

  • “Future of decentralized autonomous organizations,” Homecubes, 2024

  • “AI-Agentic: How autonomous AI is transforming business,” Albert School, 2024