About Our Authors
Gediminas Adomavicius (“Efficient Computational Strategies for Dynamic Inventory Liquidation”) is a professor of information and decision sciences at the University of Minnesota and holds the Carolyn I. Anderson Chair in Business Education Excellence. He studies recommender systems, machine learning, and electronic market mechanisms. He received the NSF CAREER Award for research on recommender systems. He has served as senior editor for Information Systems Research and MIS Quarterly, and is a Distinguished Fellow of the INFORMS Information Systems Society.
Corey M. Angst (“How Does the Implementation of Enterprise Information Systems Affect a Professional’s Mobility? An Empirical Study”) is a professor in the Department of Information Technology, Analytics, and Operations Department at Mendoza College of Business, University of Notre Dame. His research interests are in the transformational effect of information technology, technology usage, information technology value, and privacy of information, particularly in the healthcare domain. He received his PhD from the Smith School of Business, University of Maryland, College Park.
Linda Argote (“Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities”) is the David and Barbara Kirr Professor of Organizational Behavior in the Tepper School of Business at Carnegie Mellon University, where she directs the Center for Organizational Learning, Innovation and Knowledge. Her research focuses on organizational learning, organizational memory, and knowledge transfer. Her book, Organizational Learning: Creating, Retaining and Transferring Knowledge, was a finalist for the Terry Book Award of the Academy of Management. Linda served as Editor-in-Chief of Organization Science from 2004 to 2010.
Diane E. Bailey (“The Coevolution of Objects and Boundaries over Time: Materiality, Affordances, and Boundary Salience”) is an associate professor at the School of Information at the University of Texas at Austin, where she studies technology and work in information and technical occupations. Her research interests include work and artificial intelligence, computational technologies in engineering design, remote occupational socialization, and information and communications technologies for development (ICT4D).
Jesse C. Bockstedt (“Relative Privacy Valuations Under Varying Disclosure Characteristics”) is associate professor of information systems and operations management at the Goizueta Business School of Emory University. He received his PhD from the Carlson School of Management at the University of Minnesota. He studies user behavior and economic issues in environments that rely on information technology. His research has appeared in Information Systems Research, MIS Quarterly, Journal of MIS, Journal of Operations Management, and Production and Operations Management.
Lina Bouayad (“Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms”) is an assistant professor at the Department of Information Systems and Business Analytics, Florida International University, and a health science specialist at the Rehabilitation Outcomes Research Section, James A. Haley Veterans' Hospital. Her research includes the design and application of algorithms to improve business and healthcare outcomes. She has been involved in several HSR&D and NIH grants that aim at leveraging data to improve care quality and provider effectiveness.
Joseph R. Buckman (“Relative Privacy Valuations Under Varying Disclosure Characteristics”) is assistant professor of management information systems at the College of Business Administration, Kansas State University. He received his PhD from the Eller College of Management at the University of Arizona. He uses experimental economics and econometrics to study information privacy, data breaches, and other security-related problems.
Kaushal Chari (“Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms”) is transitioning to the role of dean of the Lubar School of Business, University of Wisconsin–Milwaukee, after serving as an associate dean and professor at the University of South Florida's Muma College of Business. His research covers three broad areas: software engineering, business intelligence, and distributed systems. He is interested in applying quantitative methods to address problems related to information systems, software development, and business process management.
Yuan Cheng (“Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model”) is an associate professor in the Department of Innovation, Entrepreneurship and Strategy at Tsinghua University School of Economics and Management. He currently serves as the Director of the China Research Center for Enterprise M&A and Development. He received his PhD in Management from Tsinghua University in 2000. His current research interests include digital innovation and transformation, service management and innovation, and consumer behavior and entrepreneurship, among others.
Kieran Conboy (“Talking Up a Storm: How Backers Use Public Discourse to Exert Control in Crowdfunded Systems Development Projects”) is a professor at National University of Ireland Galway and previously worked for Accenture Consulting. Kieran has published over 200 articles in leading journals, including Information Systems Research, European Journal of Information Systems, Journal of the Association for Information Systems, and Information Systems Journal. His research examines contemporary technology management and design, including concepts such as temporality, flow, open innovation, and agility. He is editor of the European Journal of Information Systems and has chaired many international conferences in his field.
Jason A. Duan (“Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model”) is an associate professor of marketing at McCombs School of Business, University of Texas at Austin. He received his PhD in statistics from Duke University in 2006. Before joining the University of Texas at Austin, he was a postdoctoral associate at Yale University’s School of Management. His research articles have appeared in academic journals, including Biometrika, Journal of Marketing Research, Management Science, and Marketing Science.
Martin Eisend (“Explaining Digital Piracy: A Meta-Analysis”) is a professor of marketing at the European University Viadrina in Frankfurt (Oder), Germany. His research focuses on consumer behavior, marketing communication, and empirical generalizations.
Kartik K. Ganju (“How Does the Implementation of Enterprise Information Systems Affect a Professional’s Mobility? An Empirical Study”) is assistant professor of information systems at the Desautels Faculty of Management, McGill University. He holds a PhD in business administration from the Fox School of Business, Temple University. His research focuses on the unanticipated effects of the adoption of electronic health record systems in hospitals. His research has appeared in Management Science, MIS Quarterly, and in refereed conference proceedings, such as the International Conference on Information Systems.
Rob Gleasure (“Talking Up a Storm: How Backers Use Public Discourse to Exert Control in Crowdfunded Systems Development Projects”) is associate professor at the Department of Digitalization, Copenhagen Business School. He received his PhD from University College Cork in 2013, and his interests include crowdfunding, distributed collaboration, design science, and neuroIS. Rob is Co-Editor in Chief of the Journal of Decision Systems and his research has also appeared in outlets such as the Journal for the Association of Information Systems, European Journal of Information Systems, Information Systems Journal, and Sloan Management Review.
Anandasivam Gopal (“Storm Clouds on the Horizon? New Entry Threats and R&D Investments in the U.S. IT Industry”) is the Dean's Professor of Information Systems at the Robert H. Smith School of Business, University of Maryland, College Park. He received a MS from the University of North Carolina at Chapel Hill and a PhD in information systems from the Tepper School of Business, Carnegie Mellon University. His research interests are in the economics of information systems, focusing on digital platforms, technology-related entrepreneurship, and innovation. He serves as senior editor at Information Systems Research.
Brad N. Greenwood (“How Does the Implementation of Enterprise Information Systems Affect a Professional’s Mobility? An Empirical Study”) is associate professor of information and decision sciences at the University of Minnesota. His research examines the intended and unintended consequence of innovation and how access to the resulting information affects welfare at the interface between business, technology, and social issues. He received his PhD in decision, operations, and information technology, with a minor in strategic management, from the University of Maryland, College Park.
HongGuo (“Selling Virtual Currency in Digital Games: Implications for Gameplay and Social Welfare”) is the Robert and Sara Lumpkins Associate Professor of Business Analytics in the Department of Information Technology, Analytics, and Operations at the University of Notre Dame. She studies emerging phenomena in information technology by characterizing key design features of such systems (e.g., mobile platforms, digital games, etc.) and examining firms' corresponding strategies. She is also interested in economic analysis of information technology policy issues such as net neutrality and public safety networks.
Alok Gupta (“Efficient Computational Strategies for Dynamic Inventory Liquidation”) is the Associate Dean for Faculty and Research at the Carlson School of Management, University of Minnesota. He is the Curtis L. Carlson Schoolwide Chair in Information Management, and the former chair of the Information and Decision Sciences Department. He received the NSF CAREER Award for research on dynamic pricing mechanisms in 2001 and was named an INFORMS Information Systems Society Distinguished Fellow in 2014 and a Fellow of Association for Information Systems in 2016.
Lin Hao (“Selling Virtual Currency in Digital Games: Implications for Gameplay and Social Welfare”) is an assistant professor of information technology, analytics, and operations at the University of Notre Dame. He received his PhD in information systems from the University of Washington. His research portfolio primarily focuses on revenue models in digital markets. He is also interested in broad issues concerning online retail strategies and peer-to-peer sharing economies.
Matthew J. Hashim (“Relative Privacy Valuations Under Varying Disclosure Characteristics”) is assistant professor of management information systems at the Eller College of Management, University of Arizona. He received his PhD from the Krannert School of Management, Purdue University. He uses experimental and behavioral economics to study information privacy, digital piracy, password security, and social engineering problems. His research has appeared in Information Systems Research, Journal of Management Information Systems, and Decision Support Systems.
Yu (Jeffrey) Hu (“Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model”) is the Sharon A. and David B. Pearce Professor at the Scheller College of Business at Georgia Institute of Technology. He is also a digital fellow at the Massachusetts Institute of Technology (MIT) Initiative on Digital Economy. He received a PhD in management science and information technology from MIT’s Sloan School of Management, an MS in economics from the University of Wisconsin–Madison, and a BS in finance from Tsinghua University.
Peng Huang (“Storm Clouds on the Horizon? New Entry Threats and R&D Investments in the U.S. IT Industry”) is an associate professor of information systems at the Robert H. Smith School of Business, University of Maryland, College Park. His research interests include platform ecosystems, knowledge-sharing virtual communities, and technology entrepreneurship. His research received the Sandra Slaughter Early Career Award, the Kauffman Dissertation Fellowship, and multiple best conference paper awards at the International Conference on Information Systems.
Kai-Lung Hui (“Bilateral Liability-Based Contracts in Information Security Outsourcing”) is a chair professor of information systems in the School of Business and Management, Hong Kong University of Science and Technology. He received his BBA and PhD from the Hong Kong University of Science and Technology. His research interests include information privacy and security, information technology policy, and electronic commerce. His research has been published in scholarly journals, including Information Systems Research, Management Science, MIS Quarterly, and the Journal of MIS, among others.
Elina H. Hwang (“Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities”) is an assistant professor of information systems at the Michael G. Foster School of Business, University of Washington in Seattle. She earned her PhD from the Tepper School of Business, Carnegie Mellon University. Her research focuses on how social technologies foster innovation, resource sharing, and matching. She employs econometrics, network analysis, and machine learning techniques to analyze large-scale field data.
Mari Karjalainen (“Toward a Theory of Information Systems Security Behaviors of Organizational Employees: A Dialectical Process Perspective”) is a postdoctoral researcher at the M3S Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland. She has a Master’s degree in education and holds a PhD in information processing science. Her research interests include information systems security behavior, training, and decision-making processes. She has published papers in conferences and journals such as Journal of the Association for Information Systems.
Ping Fan Ke (“Bilateral Liability-Based Contracts in Information Security Outsourcing”) is a visiting scholar of information systems at the School of Business and Management, Hong Kong University of Science and Technology. He received his PhD in information systems from Hong Kong University of Science and Technology in 2018. His research focuses on cybersecurity, Blockchain, and machine learning.
Tat Koon Koh (“Adopting Seekers’ Solution Exemplars in Crowdsourcing Ideation Contests: Antecedents and Consequences”) received his PhD from Carnegie Mellon University and is an assistant professor in the Department of Information Systems, Business Statistics and Operation Management, Hong Kong University of Science and Technology. His current research focuses on online platforms and crowd-based innovation.
Paul M. Leonardi (“The Coevolution of Objects and Boundaries over Time: Materiality, Affordances, and Boundary Salience”) is the Duca Family Professor of Technology Management at the University of California, Santa Barbara. His research and teaching focus on helping companies to create and share knowledge more effectively. He is interested in how implementing new technologies and harnessing the power of informal social networks can help companies take advantage of their knowledge assets to create innovative products and services.
Vijay S. Mookerjee (“Prescribing Response Strategies to Manage Customer Opinions: A Stochastic Differential Equation Approach”) holds a PhD in management, with a major in management information systems, from Purdue University. His current research interests include social networks, optimal software development methodologies, storage and cache management, content delivery systems, and the economic design of expert systems and machine learning systems. He has published in and has articles forthcoming in several archival information systems, computer science, and operations research journals. He serves (or has served on) on the editorial board of Management Science, Information Systems Research, INFORMS Journal on Computing, Operations Research, Decision Support Systems, Information Technology and Management, and Journal of Database Management.
Lorraine Morgan (“Talking Up a Storm: How Backers Use Public Discourse to Exert Control in Crowdfunded Systems Development Projects”) is a lecturer in business information systems and senior researcher with Lero (the Irish Software Engineering Research Centre) at the National University of Ireland Galway. Her principle research interests include open innovation, open source software, and inner source and crowdfunding. She has also been involved in a number of collaborative research projects involving internationally and nationally based industry partners. Her research has also been published in leading journals, including the Journal of Strategic Information Systems, Information Systems Journal, European Journal of Information Systems, Database for Advances in Information Systems, and Information and Software Technology.
Tridas Mukhopadhyay (“Selling Virtual Currency in Digital Games: Implications for Gameplay and Social Welfare”) is the Deloitte Consulting Professor of eBusiness at the Tepper School of Business, Carnegie Mellon University. His research interests include the business value of information technology (IT), strategic use of IT, and IT outsourcing. His current research projects focus on the business value of IT-based add-on services, IT contract flexibility and negotiator incentives, innovations through IT outsourcing, and sharing effects of the sharing economy.
Balaji Padmanabhan (“Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms”) has a bachelor's degree in computer science from Indian Institute of Technology (IIT) Madras and a PhD from New York University. He is a professor and director of the Center for Analytics and Creativity at the University of South Florida's Muma College of Business. He has published extensively in the data science area in leading computer science and business journals and conferences and is on the editorial board of several leading journals.
Yang Pan (“Storm Clouds on the Horizon? New Entry Threats and R&D Investments in the U.S. IT Industry”) is an assistant professor of information systems at the E. J. Ourso College of Business, Louisiana State University. She has a PhD in information systems from the Robert H. Smith School of Business, University of Maryland, College Park. Her research interests are in firms' strategic behaviors in the information technology industry that are shaped by threats of new entry from entrepreneurial startups, economics of information systems, and digital platforms. She received the 2015 Best Student Paper (Finalist) Award from the Academy of Management, Technology and Innovation Management Division.
Casey S. Pierce (“The Coevolution of Objects and Boundaries over Time: Materiality, Affordances, and Boundary Salience”) is an assistant professor at the University of Michigan School of Information. Her research focuses on how technology influences knowledge sharing and work practices across geographic and occupational boundaries. In this line of research, she has examined social media use in organizations, technology implementation during a federal policy change, and offshoring work arrangements.
Suprateek Sarker (“Toward a Theory of Information Systems Security Behaviors of Organizational Employees: A Dialectical Process Perspective”) is the Rolls-Royce Commonwealth Commerce Professor at the McIntire School of Commerce, University of Virginia. His past work has been published in many leading journals. He is a senior editor of Information Systems Research, serves on the Board of Editors of the Journal of Management Information Systems, is the outgoing Editor-in-Chief of the Journal of the Association for Information Systems, and is a former senior editor of MIS Quarterly and Decision Sciences.
Lanfei Shi (“Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment”) is a doctoral candidate in information systems at Smith School of Business, University of Maryland. Her research interests center around designing effective information strategies for online multisided platforms. She has worked closely with leading online platforms and startups to design and conduct large-scale randomized field experiments for business analytics and causal inference. Many of the good practices suggested by her studies have been adopted by collaborating platforms.
Param Vir Singh (“Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities”) is the Carnegie Bosch Associate Professor of Business Technologies at the Tepper School, Carnegie Mellon University. He is a recipient of the Sandra Slaughter Early Career award. He serves as a senior editor at Information Systems Research and an associate editor at Management Science. His work has been published in Management Science, Information Systems Research, Marketing Science, and Organization Science.
Mikko Siponen (“Toward a Theory of Information Systems Security Behaviors of Organizational Employees: A Dialectical Process Perspective”) is a professor and the vice dean for research at the Faculty of Information Technology at the University of Jyväskylä. He has a PhD in Information Systems and a DSocSci in philosophy. He has published 59 articles in journals such as MIS Quarterly and Information Systems Research. He has received more than 10 million EUR of research funding from corporations and numerous funding bodies.
Daewon Sun (“Selling Virtual Currency in Digital Games: Implications for Gameplay and Social Welfare”) is a professor in the Department of Information Technology, Analytics, and Operations at the Mendoza College of Business, University of Notre Dame. He holds a PhD in management science and information systems from the Pennsylvania State University. His primary research interests are in pricing strategies and resource management, including information technology product pricing and launching strategies, e-business strategies, and operations management and marketing interfaces.
Tianshu Sun (“Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment”) researches how firms can use field experiments in conjunction with big data to improve business decisions. His research focuses on how digital and data-driven interventions can (1) influence information sharing among individuals and (2) integrate the online and offline world. Tianshu has worked closely with top firms, including Facebook and Alibaba. He has given 70 talks at top universities/conferences and has published in Management Science, Information Systems Research, and Journal of Health Economics.
Siva Viswanathan (“Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment”) researches the transformative potential of business intelligence and predictive analytics in sectors such as financial services, retailing, and advertising. His current work examines how information impacts user decisions and market outcomes in online platforms. He has published in premier journals, including Management Science, Information Systems Research, MIS Quarterly, Marketing Science, Journal of Marketing, and Journal of Marketing Research. He serves on the editorial boards of MIS Quarterly and Management Science.
May Wang (“Effects of Sponsorship Disclosure on Perceived Integrity of Biased Recommendation Agents: Psychological Contract Violation and Knowledge-Based Trust Perspectives”) is an associate professor in the Division of Business and Management at Beijing Normal University–Hong Kong Baptist University United International College. She received her PhD in the School of Business from the University of Hong Kong. Her research interests include e-commerce, e-banking, recommendation agents, and human–computer interaction. Her works have been published in Information Systems Research and Management Science, among others.
Weiquan Wang (“Effects of Sponsorship Disclosure on Perceived Integrity of Biased Recommendation Agents: Psychological Contract Violation and Knowledge-Based Trust Perspectives”) is a professor in the College of Business at City University of Hong Kong. He received his PhD in management information systems from the University of British Columbia. His research interests include recommendation agents, human–computer interaction, social media, and online information privacy. His work has been published in Information Systems Research,Journal of Management Information Systems, Management Science, and MIS Quarterly, among others.
Lizhen Xu (“Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model”) is an associate professor of information technology management in the Scheller College of Business at Georgia Institute of Technology. He received his PhD in information management and MS in economics from The University of Texas at Austin and BE in computer science from Tsinghua University. His papers have appeared in academic journals such as Management Science, Information Systems Research, Journal of Marketing Research, and Production and Operations Management, among others.
Mingwen Yang (“Prescribing Response Strategies to Manage Customer Opinions: A Stochastic Differential Equation Approach”) is currently a PhD candidate in information systems at Naveen Jindal School of Management at The University of Texas at Dallas. Her current research interests include social media, social trading, and cloud security. Her work has been published in the Journal of Management Analytics.
Mochen Yang (“Efficient Computational Strategies for Dynamic Inventory Liquidation”) is an assistant professor in the Department of Operation and Decision Technologies at Indiana University's Kelley School of Business. His research focuses on designing computational artifacts to facilitate decision making in complex market mechanisms. His research has been published in Information Systems Research, MIS Quarterly, and several leading academic conferences.
Yuxi Yao (“Bilateral Liability-Based Contracts in Information Security Outsourcing”) is currently a PhD candidate in the Department of Economics at the University of Western Ontario. She holds a BA in economics and a BS in applied mathematics from Xiamen University and an MS in applied economics from City University of Hong Kong. Her current research focuses on macroeconomics, housing studies, and mechanism design.
Wei T. Yue (“Bilateral Liability-Based Contracts in Information Security Outsourcing”) is an associate professor of information systems in the Department of Information Systems at City University of Hong Kong. He received his PhD in management information systems from Purdue University. His research interests focus on the economic and operational aspects of information security and information systems. His work has appeared in Information Systems Research, MIS Quarterly, Management Science, Journal of Management Information Systems, and other journals.
Elena Zheleva (“Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment”) is an assistant professor in computer science at the University of Illinois at Chicago. Her areas of expertise include machine learning, causal inference, graph mining, and online privacy. She is the coauthor of the book Privacy in Social Networks. She has held leading data science roles at LivingSocial, Vox Media, and the National Science Foundation. She received her PhD in computer science from the University of Maryland, College Park, in 2011.
Zhiqiang (Eric) Zheng (“Prescribing Response Strategies to Manage Customer Opinions: A Stochastic Differential Equation Approach”) is a professor of information systems at the University of Texas at Dallas. He received his PhD in information systems from the Wharton school. His current research interests focus on healthcare analytics and fintech. He has published papers in Management Science, Information Systems Research, MIS Quarterly, and Informs Journal on Computing. He is a senior editor at Information Systems Research.
Yan Zhu (“Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model”) is a full professor for the School of Economics and Management and the dean of the Institute of Internet Industry, Tsinghua University. He received his PhD from Tsinghua University in 1998.
