An Ecological Approach to Theorizing Digital Innovation Ecosystems (Ping Wang, University of Maryland)

Friday 7 June 2019, 1:00pm to 2:00pm

Venue

LT5, LUMS

Open to

Postgraduates, Public, Staff

Registration

Registration not required - just turn up

Event Details

Dr Ping Wang from the University of Maryland will present a seminar for the Management Science Department

Abstract: A digital innovation ecosystem is a dynamic collective of interdependent actors and the resources they rely on to innovate with digital technology. These innovation stakeholders mimic the interdependent and coevolving species in a natural ecosystem. Therefore, ecological metaphors are prevalent in the discussion of digital innovations. Although the ecological perspective implies a holistic approach, the literature on ecosystems related to digital innovation reveals silos and fragmentation. Recognizing the similarities and differences between natural and sociotechnical ecosystems, we apply the ecosystem concept to multiple levels of the digital innovation landscape,bridging diverse entities such as processes, products, services, organizations,industries, and communities, as they draw on resources, including information,technology, attention, and knowledge, to realize the value of digital innovations. This effort has allowed us to synthesize insights on natural and sociotechnical ecosystems and develop building blocks (including key concepts and sample research questions) of a multilevel platform for advancing the research and practice of digital innovation.

About the Speaker: At the University of Maryland,Ping Wang is an Associate Professor at the College of Information Studies and a Senior Fellow at the Center for the Advanced Study of Communities and Information (CASCI). He studies digital innovations - new ideas, practices, and products enabled by digital technologies. Specifically, his research seeks to understand the communities and ecosystems where digital innovations emerge,spread, and influence individuals, organizations, and society. His research has appeared in outlets such as MIS Quarterly, MIT Sloan Management Review, Journal of the AIS, Journal of the American Society for Information Science and Technology, Information Visualization, International Conference on Information Systems (ICIS), and ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). Dr. Wang received his Ph.D. in Information Systems from UCLA Anderson School.

Contact Details

Name Gay Bentinck
Email

g.bentinck@lancaster.ac.uk

Telephone number

+44 1524 592408