Corresponding Manager: Luigi Mosca (l.mosca@imperial.ac.uk)
Track Manager(s): Luigi Mosca, Christopher Tucci, Danilo Pesce, Paolo Neirotti
Description
The convergence of artificial intelligence, robotics, and the Internet of Things is giving rise to data-driven ecosystems where humans and machines co-create value. These ecosystems enhance efficiency, enable real-time decision-making, and open new avenues for business model innovation. Yet, this transformation must be handled with care. As organizations become more data-intensive and interconnected, they face complex challenges of interoperability, privacy, algorithmic transparency, and governance. Balancing efficiency with ethics, automation with autonomy, and innovation with inclusion becomes a strategic imperative.
At the heart of this transition lies a fundamental rethinking of how value is created, shared, and sustained. Who owns and governs data? How can accountability, fairness, and professional integrity be ensured in machine-mediated decisions? How can business models evolve to generate both economic and societal value in an era of pervasive intelligence?
This track invites conceptual and empirical contributions that explore how data-driven ecosystems and human–machine collaboration are reshaping strategic, organizational, and societal foundations in the Industry 5.0 era. We welcome research on data-driven business models, platform governance, ecosystem orchestration, responsible AI, and sustainable digital transformation.
Keywords
Data-Driven Ecosystems; Business Model Innovation; Human–Machine Collaboration; Platform Governance; Responsible Digital Transformation
Key References
Aagaard, A., & Tucci, C. (2024). AI-driven business model innovation: pioneering new frontiers in value creation. In Business Model Innovation: Game Changers and Contemporary Issues (pp. 295-328). Cham: Springer International Publishing.
Alaimo, C., & Kallinikos, J. (2021). Managing by data: Algorithmic categories and organizing. Organization Studies, 42(9), 1385-1407.
Alaimo, C., & Kallinikos, J. (2022). “Organizations decentered: Data objects, technology and knowledge.” Organization Science, 33(1), 19-37.
Bailey, D. E., Faraj, S., Hinds, P. J., Leonardi, P. M., & von Krogh, G. (2022). We are all theorists of technology now: A relational perspective on emerging technology and organizing. Organization Science, 33(1), 1-18.
Bonina, C., Koskinen, K., Eaton, B., & Gawer, A. (2021). Digital platforms for development: Foundations and research agenda. Information Systems Journal, 31(6), 869-902.4
Falcke, L., Zobel, A. K., Yoo, Y., & Tucci, C. (2024). “Digital Sustainability Strategies: Digitally Enabled and Digital-First Innovation for Net Zero.” Academy of Management Perspectives., in press.
Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization, 28(1), 62-70.
Gawer, A. (2021). Digital platforms and ecosystems: Remarks on the dominant organizational forms of the digital age. Innovation, 24(1), 110–124.
Jacobides, M. G., Cennamo, C., & Gawer, A. (2018). Towards a theory of ecosystems. Strategic Management Journal, 39(8), 2255-2276.
Lanzolla, G., Lorenz, A., Miron-Spektor, E., Schilling, M., Solinas, G., & Tucci, C. L. (2020). “Digital transformation: What is new if anything? Emerging patterns and management research.” Academy of Management Discoveries, 6(3), 341-350.
Lanzolla, G., Pesce, D., & Tucci, C. L. (2021). The digital transformation of search and recombination in the innovation function: Tensions and an integrative framework. Journal of Product Innovation Management, 38(1), 90-113.
Nambisan, S., & George, G. (2024). Digital Approaches to Societal Grand Challenges: Toward a Broader Research Agenda on Managing Global-Local Design Tensions. Information Systems Research.
Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital innovation management. MIS quarterly, 41(1), 223-238.
Rauch, M., & Ansari, S. (2022). “Waging war from remote cubicles: How workers cope with technologies that disrupt the meaning and morality of their work.” Organization Science, 33(1), 83-104.
Tucci, C. L., Afuah, A., & Viscusi, G. (Eds.). (2018). Creating and capturing value through crowdsourcing. Oxford University Press.
Tucci, C., & Viscusi, G. (2022). Perspectives on the value of Big Data sharing. Information Technology & People, 35(2), 461-466.