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Ping Wang, University of Maryland, College Park

Ping Wang, University of Maryland, College Park


Online event

Connecting the Parts with the Whole: Toward an Information Ecology Theory of Digital Innovation Ecosystems

The remarkable connectivity and embeddedness of digital technologies enable innovations undertaken by a broad set of actors, often beyond organizational and industry boundaries, whose relationships mimic those of interdependent species in a natural ecosystem. These digital innovation ecosystems, if successful, can spawn countless innovations of substantial social and economic value, but are complex and prone to often surprising failure. Aiming to understand ecosystems as a new organizational form for digital innovations, I develop a theory that addresses an underexplored but important question: In a digital innovation ecosystem, how are the efforts of autonomous parties integrated into a coherent whole and what role do digital technologies play in this integration? By synthesizing ecological and information perspectives, this information ecology theory identifies several key functions that digital technologies serve in providing the information needed to support the interactions and tasks for innovation in ecosystems of varying scales. This theory contributes to digital innovation research new insights on managing part-whole relations, the role of digital technologies in innovation, and multilevel interactions in and across digital innovation ecosystems. The theory can also inspire the development of next-generation information systems for ecosystems as a new organizational form.

About the Presenter
Ping Wang is on the faculty at the College of Information Studies, University of Maryland, College Park. He is also an associate of the Information Systems Research Program at UCLA’s Anderson School. His research draws on institutional theory to understand the popularity of new information technologies. In recent years he has taken an ecological perspective to study digital innovations in organizations, communities, and ecosystems. He received the Best Paper Award at the 37th International Conference on Information Systems and the Best Published Paper Award from the Organizational Communication and Information Systems Division of the Academy of Management in 2010.

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Who should attend?

Audience

  • Faculty
  • PhD

Disciplines

  • Decision Sciences and MIS

This event is part of the Decision Sciences Seminar Series series.