About Our Authors

Idris Adjerid (“Reducing Medicare Spending Through Electronic Health Information Exchange: The Role of Incentives and Exchange Maturity”) is an assistant professor in the IT, Analytics, and Operations Department at the Mendoza College of Business, University of Notre Dame. He received a Ph.D. in information systems from Carnegie Mellon University. His research focuses on the economics of privacy and the impact of health information technology on patient outcomes and healthcare costs. His work has been published in Management Science, Information Systems Research, MIS Quarterly, American Psychologist, and other top journals.

Julia Adler-Milstein (“Reducing Medicare Spending Through Electronic Health Information Exchange: The Role of Incentives and Exchange Maturity”) is an associate professor at the University of California, San Francisco. She holds a Ph.D. in health policy from Harvard University. She is an international expert on policy and management issues related to the use of IT in healthcare delivery. Her research assesses the progress of health IT adoption and its impact on healthcare costs and quality. A core focus of her work is on health information exchange and interoperability.

Corey Angst (“Reducing Medicare Spending Through Electronic Health Information Exchange: The Role of Incentives and Exchange Maturity”) is the Viola D. Hank Associate Professor in the IT, Analytics, and Operations Department at the Mendoza College of Business, University of Notre Dame. He received his Ph.D. from the Smith School of Business, University of Maryland. His research interests are in the transformational effect of IT, technology usage, IT value, and privacy of information. He has held various editorial roles and his research has been published in a variety of top journals.

Sulin Ba (“Salience Bias in Crowdsourcing Contests”) is the Treibick Family Endowed Chair and associate dean of research at the University of Connecticut School of Business. She holds a Ph.D. from the University of Texas at Austin. She is a recipient of the prestigious Best Information Systems Publications Award and MIS Quarterly Best Paper Award. She is currently a senior editor for Production and Operations Management.

Michel Benaroch (“Real Options Models for Proactive Uncertainty-Reducing Mitigations and Applications in Cybersecurity Investment Decision Making”) is the associate dean of research and Ph.D. programs and professor of information systems in the Whitman School of Management, Syracuse University. His research centers on economics IT investments and IT investment risk-management, and particularly on operational IT failures and software maintenance economics. He has published in a variety of outlets, including Information Systems Research, MIS Quarterly, IEEE Transactions on Software Engineering, the Journal of Management Information Systems, Information Retrieval, and International Journal of Economic Dynamics and Control.

Carmelo Cennamo (“Platform Architecture and Quality Trade-offs of Multihoming Complements”) is an assistant professor of strategy and entrepreneurship at Bocconi University, and a fellow at Bocconi’s Center for Research on Innovation, Organization and Strategy. He studies competitive and innovation dynamics in platform-based ecosystems, with an emphasis on the strategic trade-offs and potential pitfalls that firms and startups alike confront while building and competing through platform-based business models.

Robert F. Easley (“From Net Neutrality to Data Neutrality: A Techno-Economic Framework and Research Agenda”) is the John W. Berry Sr. Professor of Information Technology, Analytics, and Operations in the Mendoza College of Business, University of Notre Dame. He serves as chair of the Department of IT, Analytics, and Operations. He holds a Ph.D. in decision and information systems from Indiana University, and an MBA from Pennsylvania State University. His research areas include economic modeling of auctions, network management policies, e-commerce, recommendation systems, and collaborative technologies.

Jens Foerderer (“Does Platform Owner’s Entry Crowd Out Innovation? Evidence from Google Photos”) is an assistant professor of information systems at the University of Mannheim. He received his Ph.D. from the University of Mannheim. His research focuses on digital platforms, communities, and markets as well as on the broader impact of the digitalization on firms. His work has been published or is forthcoming in Information Systems Research and Information Systems Journal.

Robin Gustafsson (“Exploiting and Defending Open Digital Platforms with Boundary Resources: Android’s Five Platform Forks”) is an associate professor of strategic management in the Department of Industrial Engineering and Management at Aalto University. He takes an institutional sociological lens studying strategy and organization during industry and market disruptions (technology induced). He is currently conducting research on how digital is disrupting existing industries and the new sources of competitive advantage with digitalization and platforms.

Hong Guo (“From Net Neutrality to Data Neutrality: A Techno-Economic Framework and Research Agenda”) is the Robert and Sara Lumpkins Associate Professor of Business Analytics in the Department of IT, Analytics, and Operations at the University of Notre Dame. She received her Ph.D. in information systems from the University of Florida. She studies economic analysis of IT policy issues such as net neutrality and public safety networks. She is also interested in characterizing key design features of emerging information systems and examining firms’ corresponding strategies.

Shu He (“Social Media Strategies in Product-Harm Crises”) is an assistant professor of operations and information management at the University of Connecticut. She received her Ph.D. in economics from the University of Texas at Austin. Her research interests glide the intersections between information systems, economics, and marketing.

Armin Heinzl (“Does Platform Owner’s Entry Crowd Out Innovation? Evidence from Google Photos”) is a professor at the University of Mannheim. His research and teaching interests include IS governance and outsourcing, IS development, and digital platforms. His research has been published in MIS Quarterly, Journal of the Association of Information Systems, Information Systems Journal, IEEE Transactions on Software Engineering, IEEE Transactions on Engineering Management, and others. He is vice editor-in-chief of Business Information Systems Engineering.

Kimmo Karhu (“Exploiting and Defending Open Digital Platforms with Boundary Resources: Android’s Five Platform Forks”) is a postdoctoral researcher in the Department of Computer Science at Aalto University. He received his D.Sc. (Tech) from Aalto University. His thesis analyses open platform strategizing and digital tactics in mobile ecosystems. Currently, he works as a project coordinator for the Digital Disruption of Industry project, a six-year project funded by the Strategic Research Council at the Academy of Finland.

Jan Krämer (“From Net Neutrality to Data Neutrality: A Techno-Economic Framework and Research Agenda”) is a full professor in information systems and holds the chair of Internet and Telecommunications Business at the University of Passau. He obtained a degree in business and economics engineering with a focus on telematics and operations research, and a Ph.D. in economics, both from the Karlsruhe Institute of Technology. His current research interests include the regulation of Internet markets, as well as digital ecosystems and data-driven business models.

Tobias Kretschmer (“Platform Architecture and Quality Trade-offs of Multihoming Complements”) is a professor of management and director of the Institute for Strategy, Technology and Organization at LMU Munich. He holds a Ph.D. in economics from the London Business School. His work focuses on strategy and organization design in technology-intensive industries, especially platform markets and information and communication technologies. He has published in American Economic Review, Management Science, Information Systems Research, Strategic Management Journal, and Organization Science, among others. He is an associate editor at Strategic Management Journal and International Journal of Industrial Organization.

Ramayya Krishnan (“On Direct vs. Indirect Peer Influence in Large Social Networks”) is the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at the H. John Heinz III College and the Department of Engineering and Public Policy at Carnegie Mellon University. He led the establishment of funded research centers focused on data driven decision making in key societal domains including transportation, smart cities, and living analytics, and risk and regulatory services innovation.

Thomas Kude (“Does Platform Owner’s Entry Crowd Out Innovation? Evidence from Google Photos”) is an assistant professor of information systems at the ESSEC Business School. He received his Ph.D. from the University of Mannheim. His current research focuses on digital ecosystems, agile software development, and IT management. His work has been published or is forthcoming in Information Systems Research, Information Systems Journal, IEEE Transactions on Engineering Management, the Data Base for Advances in Information Systems, and other outlets.

Ho Cheung Brian Lee (“Salience Bias in Crowdsourcing Contests”) is an assistant professor in the Department of Operations and Information Systems, Manning School of Business, University of Massachusetts Lowell. He holds a Ph.D. in operations and information management from the University of Connecticut. His current research interests include crowdsourcing, platform strategy, and the economics of information systems.

Beibei Li (“Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis”) is the Anna Loomis McCandless Chair and assistant professor of IT & Management at the H. John Heinz III College of Carnegie Mellon University. She received her Ph.D. in information systems with distinction from the Leonard N. Stern School of Business at NYU. She has extensive experience at leveraging both observational data analytics and experimental analysis with a strong focus on modeling customer behavior across online, offline, and mobile channels for decision support.

Xinxin Li (“Salience Bias in Crowdsourcing Contests”) is an associate professor of operations and information management in the School of Business at the University of Connecticut. She received her Ph.D. from the Wharton School at the University of Pennsylvania. Her research interests lie at the intersection of information systems and marketing. Her work has appeared in journals including Management Science, MIS Quarterly, Marketing Science, and Strategic Management Journal. She is currently an associate editor for MIS Quarterly.

Kalle Lyytinen (“Exploiting and Defending Open Digital Platforms with Boundary Resources: Android’s Five Platform Forks”) is a distinguished university professor at Case Western Reserve University, and a distinguished visiting professor at Aalto University. He receive his Ph.D. in computer science from the University of Jyväskylä. He is a LEO Award recipient and AIS fellow. He has published 300 refereed articles and edited or written over 30 books or special issues. His research explores digital innovation especially in relation to design activities, requirements for large scale systems, diffusion of innovations, and emergence digital infrastructures.

Lars Mathiassen (“Managing Digital Platforms in User Organizations: The Interactions Between Digital Options and Digital Debt”) is the Georgia Research Alliance Eminent Scholar, professor in the Computer Information Systems Department, and cofounder of the Center for Process Innovation at Georgia State University. His research focuses on digital innovation, IT management, and health informatics. He has published extensively in leading academic and practitioner journals and coauthored several books. He has served as a senior editor for MIS Quarterly, and currently serves as a senior editor for Information & Organization, Journal of Information Technology, and Engaged Management Review.

Sunil Mithas (“Does Platform Owner’s Entry Crowd Out Innovation? Evidence from Google Photos”) is the Ralph J. Tyser Professor of Information Systems in the Robert H. Smith School of Business at the University of Maryland. He is the author of Digital Intelligence: What Every Smart Manager Must Have for Success in an Information Age. Identified as an MSI Young Scholar by the Marketing Science Institute, he has worked on research or consulting assignments with organizations such as A. T. Kearney, Ernst & Young, Johnson & Johnson, the Tata Group, and the U.S. Census Bureau.

Marius F. Niculescu (“Strategic Intellectual Property Sharing: Competition on an Open Technology Platform Under Network Effects”) is an associate professor of IT management (ITM) and the Ph.D. coordinator for the ITM area at the Scheller College of Business, Georgia Institute of Technology. He received his Ph.D. in operations, information, and technology from the Stanford Graduate School of Business, and his B.A. in applied mathematics from Harvard University. His research interests include network and platform economics, freemium strategies, cloud computing, IT security, emerging software business models, and diffusion of IT innovation. He currently serves as an associate editor for Information Systems Research and as a senior editor at Production and Operations Management. His work appeared in premier academic journals including Information Systems Research, Management Science, and MIS Quarterly.

Hakan Ozalp (“Platform Architecture and Quality Trade-offs of Multihoming Complements”) is a lecturer (assistant professor) of strategy at the University of Leeds Business School. He received his doctorate in business administration and management from Bocconi University. His research focuses on exploring the impact of industrial and technological change on the platform ecosystem and on the firm.

Paul A. Pavlou (“On Direct vs. Indirect Peer Influence in Large Social Networks”) is the Milton F. Stauffer Professor and senior associate dean for Faculty, Research, Doctoral Programs, and Strategic Initiatives at the Fox School of Business at Temple University. He received his Ph.D. from the University of Southern California. He is ranked No. 1 in the world in publications in the two top information systems journals for 2010–2016. His research was cited over 31,000 times, and he is recognized among the “World’s Most Influential Scientific Minds” by Thomson Reuters based on an analysis of “highly cited” authors during the 2002–2012 period.

Arun Rai (“Managing Digital Platforms in User Organizations: The Interactions Between Digital Options and Digital Debt”) is the Regents’ Professor at the Robinson College of Business, Georgia State University and holds the Robinson and Harkins Chairs. His research has examined how firms can leverage information technologies in their strategies, relationships, and processes and how digital innovations can create business value and address societal problems. He is the current editor-in-chief of MIS Quarterly, a fellow of the Association for Information Systems, and a distinguished fellow of the INFORMS Information Systems Society.

Knut H. Rolland (“Managing Digital Platforms in User Organizations: The Interactions Between Digital Options and Digital Debt”) is the managing director of the Executive Management of IT master’s program, associate professor in the Informatics Department at the University of Oslo, and a senior researcher at SINTEF Digital. His research focuses on digital platforms and infrastructures, digital transformation, and large-scale IT projects. He has published in academic journals including the European Journal of Information Systems, Journal of the Association of Information Systems, and The Information Society, and international conferences. He has also worked as an IT consultant for many years.

Huaxia Rui (“Social Media Strategies in Product-Harm Crises”) is the Xerox Assistant Professor in the Simon Business School at the University of Rochester. He received his Ph.D. from the University of Texas at Austin. His research has been published in leading academic journals such as Journal of Financial Economics, Management Science, MIS Quarterly, and Production and Operations Management.

Param Vir Singh (“Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis”) is the Carnegie Bosch Chair and associate professor of business technologies at the Tepper School of Business, Carnegie Mellon University. He is a recipient of the Information Systems Society Sandy Slaughter Early Career Award. He has extensive expertise in investigating use of social and/or mobile technologies through structural modeling and unstructured data analytics to solve problems of economic interest. He is currently serving as an associate editor of Management Science and Information Systems Research.

Jan Stallaert (“Salience Bias in Crowdsourcing Contests”) is a professor in operations and information systems management at the University of Connecticut. He serves as the Director of Research at the Center for Advancement of Business Analytics at the University of Connecticut.

Quan Wang (“Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis”) is a Ph.D. candidate at the H. John Heinz III College of Carnegie Mellon University. She is expecting to graduate in August 2017 and join LinkedIn’s Analytics team. She holds a Bachelor’s degree from Tsinghua University. She is interested in studying consumer behavior in online markets, specifically related to mobile and multi-channel economy, using economic, statistical, and big data techniques.

Andrew B. Whinston (“Social Media Strategies in Product-Harm Crises”) is the Hugh Cullen Chair Professor in the Information, Risk, and Operation Management Department at the McCombs School of Business at the University of Texas at Austin. He is also director of the Center for Research in Electronic Commerce. He has published over 300 papers in the major economic and management journals and has coauthored 27 books. His Erdös number is 2.

D. J. Wu (“Strategic Intellectual Property Sharing: Competition on an Open Technology Platform Under Network Effects”) is the Ernest Scheller, Jr. Chair in Innovation, Entrepreneurship and Commercialization and a professor and area coordinator of Information Technology Management at the Scheller College of Business, Georgia Institute of Technology. He received his Ph.D. from Wharton. His current research interests include economics of digital innovation and transformation, digital business model innovations, and platform ecosystems. His work has appeared in Management Science, Information Systems Research, Manufacturing and Service Operations Management, and MIS Quarterly. He serves as a senior editor for Information Systems Research and as an associate editor for Management Science.

Lizhen Xu (“Strategic Intellectual Property Sharing: Competition on an Open Technology Platform Under Network Effects”) is an associate professor of information technology management in the Scheller College of Business, Georgia Institute of Technology. He received his Ph.D. in information management and an M.S. in economics from the University of Texas at Austin, and his Bachelor’s degree in computer science from Tsinghua University. He specializes in quantitative research methodologies that involve both analytical and empirical modeling; his interdisciplinary research interests lies in the economics of information systems and its interface with marketing and operations management. The substantive areas of interest include online advertising and search engine marketing, mobile analytics and user behavior, and online reviews and service management, among others. His papers have been published in academic journals such as Management Science, Information Systems Research, Journal of Marketing Research, Production and Operations Management, Journal of Management Information Systems, and Decision Analysis.

Bin Zhang (“On Direct vs. Indirect Peer Influence in Large Social Networks”) is an assistant professor of management information systems in the Eller College of Management at the University of Arizona. He received his Ph.D. in information systems management and a Master’s degree in machine learning, both from Carnegie Mellon University. His research interests include large social network analysis, statistical modeling for network problems, and machine learning. He has published in top journals including Information Systems Research and Journal of Management Information Systems.