University of South Florida, Muma College of Business
Title: Causality Meets Research in Information Systems: Diversity of Questions, Data, and Assumptions
Abstract: Researchers in information systems are increasingly focusing on assessing causality in their work. I will describe three dominant perspectives on causality and how they address some of the key challenges in assessing causality from their vantage point. I will draw on my work relating digital resources, strategies and capabilities with performance at various levels of analyses. I will argue that reflecting on the plausibility and substantive meaning of underlying assumptions of different perspectives and approaches for assessing causality will lead to better conceptualization, execution, evaluation, and dissemination of research in information systems and related fields. In the end, the identity of a discipline such as information systems is tied more to types of questions it addresses with appropriate blend of description, causal theorizing, explanation and generalizability than about using a particular methodological approach.
报告人简介：Sunil Mithas is a World Class Scholar and Professor at the Muma College of Business at the University of South Florida. Mithas has taught at the Robert H. Smith School of Business at the University of Maryland, and has held visiting positions in Australia, Germany and Hong Kong. He earned his PhD from the Ross School of Business at the University of Michigan and an engineering degree from IIT, Roorkee. Identified as an MSI Young Scholar by the Marketing Science Institute, Mithas is among top information systems scholars in the world. He has consulted and conducted research with a range of organizations including A. T. Kearney, Ernst & Young, Johnson & Johnson, the Social Security Administration, and the Tata Group. He is the author of two books, and his research has won best-paper awards, and featured in practice-oriented publications such as MIT Sloan Management Review, Bloomberg, and CIO.com.
University of Maryland, College Park
Title: Toward an Information Ecology Theory of Digital Innovation Ecosystems
Abstract: 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 at 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.
报告人简介： Ping Wang is on the faculty at the University of Maryland, College Park. Presently, he is also serving as an associate for the Information Systems Research Program at UCLA and an associate editor for the MIS Quarterly. 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. Dr. Wang holds a Ph.D. in Information Systems from UCLA Anderson School and an M.B.A. in Finance from the University of Maryland.