About Our Authors
Liliane Ableitner (“Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study”) received her PhD from the Department of Management, Technology and Economics at ETH Zurich in 2019. She was part of the Bits to Energy Laboratory of ETH Zurich and conducted research about the adoption of information systems and the engagement of individuals in the energy transition.
Inês Azevedo (“Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study”) is an associate professor of energy resources engineering and a senior fellow at the Woods Institute for the Environment and the Precourt Institute for Energy at Stanford University. Her research is concerned with solving problems that include environmental, technical, economic, and policy issues, where traditional engineering approaches play an important role but cannot provide a complete answer.
Hasan Cavusoglu (“The Dark Side of Technological Modularity: Opportunistic Information Hiding During Interorganizational System Adoption”) is an associate professor at the Sauder School of Business at the University of British Columbia. He obtained his PhD and MSc from the University of Texas at Dallas. His research focuses on the managerial and behavioral issues related to information technology, in particular, information security and privacy, and employs both empirical and analytical methods. His work has appeared in Information Systems Research, MIS Quarterly, Management Science, and others.
Marco Ceccagnoli (“IT Knowledge Spillovers, Absorptive Capacity, and Productivity: Evidence from Enterprise Software”) professor and area coordinator for strategy & innovation at the Scheller College of Business at Georgia Tech, holds a PhD from Carnegie Mellon University and a Brady Family Professorship in Management. His research, focused on drivers and the impact of make or buy decisions in the markets for technology, has received international awards and has been published by Management Science, Strategic Management Journal, and MIS Quarterly, among others.
Tat Y. Chan (“Information Asymmetry Among Investors and Strategic Bidding in Peer-to-Peer Lending”) is the Philip L. Siteman professor of marketing at the Olin Business School, Washington University in St. Louis. He received a PhD in economics at Yale University in 2001. His research interests are in empirical modeling consumer choice and firm competition using econometric methodologies. He has conducted research projects that have been published in top journals of various fields such as economics, marketing, information systems, and operations management.
Liwei Chen (“How Does Intelligent System Knowledge Empowerment Yield Payoffs? Uncovering the Adaptation Mechanisms and Contingency Role of Work Experience”) is an assistant professor at the Lindner College of Business, University of Cincinnati. Her work focuses on how infomation technology can empower individuals and organizations to share and access information, make informed decisions, and undertake actionable changes to solve societal and business problems. Her work has appeared in MIS Quarterly, Journal of the Association for Information Systems, European Journal of Information Systems, and Journal of Medical Internet Research.
Wei Chen (“Flourish or Perish? The Impact of Technological Acquisitions on Contributions to Open-Source Software”) is an assistant professor of management information systems at the Eller College of Management, University of Arizona. He received his PhD from the Rady School of Management, University of California, San Diego. His research focuses on platforms, crowds, and financial technologies (FinTech). His work has appeared in top academic journals, including Management Science, Information Systems Research, and MIS Quarterly.
Yubo Chen (“How Is Mobile User Behavior Different? A Hidden Markov Model of Cross-Mobile Application Usage Dynamics”) is senior associate dean, professor of marketing, and director of Center for Internet Development and Governance at the School of Economics and Management, Tsinghua University. He received his PhD in business administration (marketing) from University of Florida. His research interests include digital economy, mobile and electronic commerce, and digital transformation. He has published in Journal of Marketing, Journal of Marketing Research, and Management Science.
Alan R. Dennis (“Do You Really Know if It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media”) is a professor of information systems and holds the John T. Chambers Chair of Internet Systems in the Kelley School of Business at Indiana University. He was named a fellow of the Association for Information Systems in 2012. Professor Dennis has written more than 150 research papers and has won numerous awards for his research. His research focuses on team collaboration, fake news, and information security. He served as president of the Association for Information Systems.
Wenjing Duan (“Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry”) is currently an associate professor of information systems and technology management at the School of Business, The George Washington University. Her research interests glide the intersections between information systems, economics, and marketing. Among her primary research interests are the social and economic impact of online consumer-generated content and social media, online communities and social networks, information systems and digital marketing, and healthcare economics.
Elgar Fleisch (“Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study”) is a full professor of information and technology management at ETH Zurich and University of St. Gallen and director of the Institute of Technology Management. At both affiliations, he heads a team of postdocs and doctoral students. He organizes his research in three labs, which cover the disciplines of computer science, information systems, management, and psychology.
Chris Forman (“IT Knowledge Spillovers, Absorptive Capacity, and Productivity: Evidence from Enterprise Software”) is the Peter and Stephanie Nolan Professor of Strategy, Innovation, and Technology at the Dyson School of Applied Economics and Management at Cornell University. His research focuses on IT innovation, IT strategy, and digital platforms and ecosystems. He previously has served as department editor at Management Science and as senior editor at Information Systems Research and is a recipient of the INFORMS Information Systems Society Distinguished Fellow Award.
Haibing Gao (“Socialize More, Pay Less: Randomized Field Experiments on Social Pricing”) is Eminent Scholar Research Chair, associate professor of marketing at the School of Business, Renmin University of China. He received his PhD in business administration (marketing) from the University of Florida. His research interests include commerce on customers’ social value, mobile marketing, platform marketing, and marketing-Artificial Intelligence interface.
Yang Gao (“Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry”) is an assistant professor of information systems at the School of Computing and Information Systems, Singapore Management University. He received his PhD in information systems from the University of Rochester in 2021. His current research focuses on the management of consumer voices on social media. He has published in Journal of Management Information Systems.
Sanjith Gopalakrishnan (“The Dark Side of Technological Modularity: Opportunistic Information Hiding During Interorganizational System Adoption”) is an assistant professor at the Desautels Faculty of Management at McGill University. He obtained his PhD from the University of British Columbia. His research interests lie in the interplay of information, incentives, and fairness in multiagent environments and networks. His research also spans sustainable and socially responsible management and employs analytical as well as data-driven methodologies.
Shawndra Hill (“Second Screening—The Influence of Concurrent TV Consumption on Online Shopping Behavior”) is a part-time senior lecturer in marketing at Columbia Business School. She received her PhD in Information Systems from NYU’s Stern School of Business. Prior to joining Columbia Business School, she was (senior) principal researcher at Microsoft Research in New York and a professor at the Wharton School of the University of Pennsylvania. Broadly, she studies how to use data science and machine learning to make advertising and marketing more effective and efficient.
Oliver Hinz (“Second Screening—The Influence of Concurrent TV Consumption on Online Shopping Behavior”) is professor of Information Systems and Information Management at Goethe University Frankfurt. He is interested in research at the intersection of technology and markets. His research has been published in journals like Information Systems Research, MIS Quarterly, Journal of Marketing, Journal of Management Information Systems, Decision Support Systems, Business & Information Systems Engineering, as well as in a number of proceedings.
Jinghui (Jove) Hou (“Space Norms for Constructing Quality Reviews on Online Consumer Review Sites”) is a visiting assistant professor at the Decision & Information Sciences Department, C.T. Bauer College of Business, University of Houston. Her current research pertains to artificial intelligence and theory building that incorporates machine learning. She holds a BS in statistics from Fudan University (China) and a PhD in communication from the University of Southern California. Her research has appeared in Journal of Management Information Systems, Decision Sciences, among others.
J. J. Po-An Hsieh (“How Does Intelligent System Knowledge Empowerment Yield Payoffs? Uncovering the Adaptation Mechanisms and Contingency Role of Work Experience”) is an associate professor at Georgia State University. His interests include information technology use and impacts, digital innovation, artificial intelligence, and future work. He has served on the editorial board for several journals. He received the annual best published journal paper award and the best conference paper award by the Academy of Management and the best paper award at the International Conference on Information Systems.
Peng Huang (“IT Knowledge Spillovers, Absorptive Capacity, and Productivity: Evidence from Enterprise Software”) is an associate professor of information systems at the Robert H. Smith School of Business, University of Maryland, College Park. He obtained his PhD from the Georgia Institute of Technology. His research interests include platform ecosystems, technology and innovation, knowledge communities, and cybersecurity management. He is a recipient of the Sandra Slaughter Early Career Award from INFORMS Information Systems Society.
Cuiqing Jiang (“Know Where to Invest: Platform Risk Evaluation in Online Lending”) is a professor at School of Management, Hefei University of Technology. He received his PhD degree in management science and engineering from that University. His research interests include big data analytics and business intelligence, data mining and knowledge discovery, financial technology and information systems. He has published in such journals as Journal of Management Information Systems, European Journal of Operational Research, Information Sciences, and many others.
Fujie Jin (“Flourish or Perish? The Impact of Technological Acquisitions on Contributions to Open-Source Software”) is an assistant professor in the Operations and Decisions Technologies Department at the Kelley School of Business, Indiana University. She obtained her PhD in operations and information systems from the Wharton School, University of Pennsylvania, in 2016. Her research focuses on the impact of technology on organizations and user behavior on platforms.
Antino Kim (“Do You Really Know if It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media”) is an assistant professor of information systems and Grant Thornton Scholar at the Kelley School of Business, Indiana University. He earned his PhD in information systems from the Foster School of Business at the University of Washington. His research interests include misinformation and social media, digital piracy and policy implications, supply chain of information goods, and IT and worker displacement. Recent papers have appeared in JMIS, Management Science, and MISQ, among others.
Byung Cho Kim (“Pay-What-You-Want Pricing in the Digital Product Marketplace: A Feasible Alternative to Piracy Prevention?”) is a professor of logistics, service and operations management at Korea University Business School. Before joining Korea University, he served as an assistant professor of business information technology at the Pamplin College of Business at Virginia Tech. He received his PhD from Tepper School of Business at Carnegie Mellon University. His primary research interests include digital transformation, economics of information systems, and technology management.
Keongtae Kim (“Risk Disclosure in Crowdfunding”) is currently an associate professor in the department of decision sciences and managerial economics of the Chinese University of Hong Kong Business School at the Chinese University of Hong Kong. He earned his PhD in information systems from the University of Maryland in 2014. His main research focuses on online platforms, digital innovation/entrepreneurship, FinTech, and economics of artificial intelligence/machine learning. His research has been published at Information Systems Research and MIS Quarterly, among others.
Subodha Kumar (“Socialize More, Pay Less: Randomized Field Experiments on Social Pricing”) is the Paul Anderson Distinguished Chair Professor and the director of the Center for Business Analytics and Disruptive Technologies at Temple University. He has published more than 185 papers in reputed journals and conferences. He has also coauthored books, book chapters, and cases. He also holds a patent. He is the deputy-editor of POM and executive-editor of Management and Business Review. He has held several other editorial positions. He is regularly cited in media.
Siyuan Li (“Seems Legit: An Investigation of the Assessing and Sharing of Unverifiable Messages on Online Social Networks”) is an assistant professor of business analytics at William & Mary’s Raymond A. Mason School of Business. His current research focuses on recommender systems, social media, and healthcare organizations. Dr. Li’s work appears in MIS Quarterly, Journal of the AIS, and MIS Quarterly Executives, among others.
Yitian (Sky) Liang (“How Is Mobile User Behavior Different? A Hidden Markov Model of Cross-Mobile Application Usage Dynamics”) is associate professor of marketing at the School of Economics and Management, Tsinghua University. He received his MS in statistics and PhD in business administration (marketing) from The University of British Columbia. His research interests are digital marketing, movie, structural economic analysis, and physiological marketing. He has published in Journal of Marketing Research and Management Science.
Yu-Kai Lin (“Information Control for Creator Brand Management in Subscription-Based Crowdfunding”) is an assistant professor of computer information systems at the Robinson College of Business, Georgia State University. He received his PhD from the Eller College of Management at the University of Arizona. He studies a broad range of topics including digitalization, open innovation, intellectual property, health information technology, and business analytics.
Jackie London, Jr. (“Seems Legit: An Investigation of the Assessing and Sharing of Unverifiable Messages on Online Social Networks”) is an assistant professor of information systems at Loyola University Maryland. His research has been published in Communications of the AIS, Journal of Decision Systems, and in conference proceedings. Prior to starting his PhD, he spent more than a decade in the information technology industry in various roles, including consultant, system administrator, application developer, and data analyst.
Kai Lu (“Information Asymmetry Among Investors and Strategic Bidding in Peer-to-Peer Lending”) is an assistant professor of finance at the International Institute of Finance, School of Management, University of Science and Technology of China. He obtained a PhD in finance from Washington University in St. Louis. His research focuses on P2P lending and behavioral and household finance. He is interested in understanding the underlying mechanisms of P2P lending, empirically characterizing how market participants behave, and the consequences of these behaviors.
Xiao Ma (“Space Norms for Constructing Quality Reviews on Online Consumer Review Sites”) is an associate professor and the faculty director of the MS in business analytics program (STEM-certified) at the Decision & Information Sciences Department, C.T. Bauer College of Business, University of Houston. He graduated with a PhD in business from the University of Wisconsin–Madison in 2014. His latest research focuses on healthcare analytics and artificial intelligence. Xiao has had multiple publications in premier business journals, including Information Systems Research.
Moksh Matta (“The Dark Side of Technological Modularity: Opportunistic Information Hiding During Interorganizational System Adoption”) is an assistant professor at the Nanyang Business School at the Nanyang Technological University. He obtained his PhD from the University of British Columbia and his MSc from the University of Arizona. His research focuses on the management and economics of information technology and digital platforms and relies on econometric and machine learning methods for his research.
Arne Meeuw (“Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study”) received his PhD from the Institute of Technology Management at University of St. Gallen in 2019 and was part of the Bosch IoT Laboratory. His research focused on distributed systems and blockchain-based platforms in the context of energy systems and decentralized energy resources.
Randall K. Minas (“Do You Really Know if It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media”) is the Hon Kau and Alice Lee Distinguished Associate Professor at the Shidler College of Business at University of Hawai’i at Manoa. His research focuses on cognitive biases in technology and NeuroIS. He has been published in journals such as MIS Quarterly, Journal of Management Information Systems, Decision Sciences, and the Journal of the Association of Information Systems.
Patricia L. Moravec (“Do You Really Know if It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media”) is an assistant professor of information systems at the McCombs School of Business, University of Texas at Austin. Tricia earned her PhD in information systems from the Kelley School of Business at Indiana University after working at KPMG. Her research interests include information quality, misinformation, polarization, and cognition during social media use. She is published in Information Systems Research, MIS Quarterly, and the Journal of Management Information Systems.
Yang Pan (“Risk Disclosure in Crowdfunding”) is an assistant professor of management science at the Freeman School of Business, Tulane University. She has a PhD from the Smith School of Business, University of Maryland. Her research interests are in the economics of information systems, focusing firms’ strategic behaviors shaped by technology-related entrepreneurship, digital platforms, financial technology, and venture capital. Her recent work has appeared in journals such as Information Systems Research, MIS Quarterly, and Production and Operations Management.
Jooyoung Park (“Risk Disclosure in Crowdfunding”) is an assistant professor of Peking University HSBC Business School. She earned her PhD in marketing at the Tippie College of Business of the University of Iowa in May 2014. Her research interests include self-regulation, motivations, prosocial behavior, and childhood resources. Her work appeared in academic journals, including Psychology Science, Journal of Consumer Psychology, and Journal of Advertising, among others.
So Eun Park (“Pay-What-You-Want Pricing in the Digital Product Marketplace: A Feasible Alternative to Piracy Prevention?”) is assistant professor of the Marketing and Behavioural Science division at Sauder School of Business at University of British Columbia. She received her PhD in Business Administration (Marketing) from University of California, Berkeley, and BA in mathematics from Columbia University. Her research interest includes behavioral economics, game theory, and pricing strategies.
Arun Rai (“Information Control for Creator Brand Management in Subscription-Based Crowdfunding”) is the Regents’ Professor of the University System of Georgia and holds the Howard S. Starks Distinguished Chair at the Robinson College of Business at Georgia State University. He is the director and cofounder of the Center for Digital Innovation. He served as the editor-in-chief for MIS Quarterly from 2016 to 2020 and received the LEO Award from the Association for Information Systems for lifetime exceptional contributions to the information systems discipline.
Huaxia Rui (“Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry”) is the Xerox Chair Professor at Simon Business School and is an inaugural Distinguished Researcher and Scholar of the Center of Excellence in Data Science at the University of Rochester. He is interested in data science and causal inference. His works have been published in leading academic journals, such as Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Management Science, Production and Operation Management, and Journal of Financial Economics.
Amit Sharma (“Second Screening—The Influence of Concurrent TV Consumption on Online Shopping Behavior”) is a principal researcher at Microsoft Research India. His research is at the intersection of causal inference and machine learning: how causality can help machine learning and vice versa. Amit has co-led the development of the DoWhy library for causal inference and the DiCE library for counterfactual explanations. Amit received his PhD in computer science from Cornell University.
Detmar W. Straub (“Pay-What-You-Want Pricing in the Digital Product Marketplace: A Feasible Alternative to Piracy Prevention?”) is a research professor and IBIT Fellow at Temple University’s Fox School. A Regents Professor Emeritus of the University System of Georgia, he formerly held an endowed professorship at Georgia State University. With over 225 papers in journals such as Information Systems Research, MIS Quarterly, the Journal of MIS, Organization Science, and Management Science, his current research is on digital transformation, cybersecurity and other technological innovations.
Heshan Sun (“Seems Legit: An Investigation of the Assessing and Sharing of Unverifiable Messages on Online Social Networks”) is a professor at the Price College of Business, University of Oklahoma. He received his PhD from Syracuse University. He has a wide range of research interests, including human technology interaction, system implementation and use, trust in e-commerce, and business analytics. His research has appeared in prestigious journals including MIS Quarterly, Information Systems Research, and the Journal of the Association for Information Systems.
Yinliang (Ricky) Tan (“Socialize More, Pay Less: Randomized Field Experiments on Social Pricing”) is an associate professor in the C.T. Bauer College of Business at the University of Houston (UH). He is the Bauer Fellow, area coordinator in supply chain management, and executive director of the DBA program at Bauer College. Before joining UH, he was an assistant professor in management science, Irving LaValle Early Career Professor, and executive director for the Goldring Institute of International Business at the Freeman School of Business at Tulane University.
Yong Tan (“How Is Mobile User Behavior Different? A Hidden Markov Model of Cross-Mobile Application Usage Dynamics”) is the Michael G. Foster endowed professor of information systems at the Michael G. Foster School of Business, University of Washington, and a distinguished fellow of the INFORMS Information Systems Society. His research interests include social media and networks, sharing economy, fintech, mobile and electronic commerce, and big data analytics. He has published in Information Systems Research, Management Science, and Management Information Systems Quarterly, among others.
Verena Tiefenbeck (“Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study”) is an assistant professor for digital transformation at the Friedrich-Alexander University Erlangen-Nuremberg, Germany. Her research combines information systems and behavioral insights to understand and change consumer behaviour, particularly in the energy sector. She completed her PhD at ETH Zurich. Prior to that, she spent 3.5 years as a visiting PhD student at the Massachusetts Institute of Technology and as a researcher at the Fraunhofer Center for Sustainable Energy Systems.
Zhao Wang (“Know Where to Invest: Platform Risk Evaluation in Online Lending”) is an assistant professor at the School of Management, Hefei University of Technology. He received his PhD in management science and engineering from that university. His research interests include data mining, and credit evaluation theory and methodology. He has published in such journals as Journal of Management Information Systems, European Journal of Operational Research, Decision Support Systems, and many others.
Zaiyan Wei (“Information Asymmetry Among Investors and Strategic Bidding in Peer-to-Peer Lending”) is an assistant professor of management at the Krannert School of Management, Purdue University. He obtained a PhD in economics at the University of Arizona in 2015. His research focuses on the economics of information systems covering FinTech, platform economics, and social media and networks. His research projects have been published in leading journals such as Management Science and Information Systems Research. He was awarded Management Science Meritorious Service Award in 2020.
Anselma Wörner (“Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study”) received her PhD from the Department of Management, Technology and Economics at ETH Zurich in 2020. Her research is concerned with leveraging information technology to foster sustainability among the broader public. She has published at leading information systems conferences and in Nature Energy, and she recently completed a research visit at Stanford University where she joined the Energy Resources Engineering Group.
Felix Wortmann (“Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study”) is a professor, senior lecturer, and scientific director of the Bosch IoT Laboratory at the Institute of Technology Management at University of St. Gallen. The Bosch IoT Laboratory is a collaboration between the University of St. Gallen, ETH Zurich, and the Bosch Group. His research has been published in the Journal of the Association for Information Systems, Applied Energy, Transportation Research, the IEEE Internet of Things Journal, and in the proceedings of leading conferences.
D.J. Wu (“IT Knowledge Spillovers, Absorptive Capacity, and Productivity: Evidence from Enterprise Software”) is the Ernest Scheller Jr. Chair in Innovation, Entrepreneurship and Commercialization, Professor and Area Coordinator in Information Technology Management at the Scheller College of Business, Georgia Institute of Technology. His research interests include digital business models and platform ecosystems. He previously has served as senior editor at Information Systems Research and president of INFORMS Information Systems Society. He is currently an information systems department editor at Management Science.
Shaohui Wu (“How Is Mobile User Behavior Different? A Hidden Markov Model of Cross-Mobile Application Usage Dynamics”) is professor of marketing at the School of Management, Harbin Institute of Technology. He received his PhD in business administration (marketing) from Tsinghua University. Before joining Harbin Institute of Technology, he was associate professor at the School of Management, University of Science and Technology of China. His research interests are big data marketing, mobile analytics, social media, and live streaming commerce.
Ling Xue (“Flourish or Perish? The Impact of Technological Acquisitions on Contributions to Open-Source Software”) is an associate professor in the Department of Computer Information System at the J. Mack Robinson College of Business, Georgia State University. He received his PhD from the Rady School of Management, University of Texas at Austin. His research focuses on the governance of emerging technologies, digital platforms, and technological innovation. His work has appeared in Information Systems Research, MIS Quarterly, Academy of Management Journal, and Journal of Operations Management.
Yukun Yang (“Information Control for Creator Brand Management in Subscription-Based Crowdfunding”) is an assistant professor at the Department of Information Systems and Management Engineering, Southern University of Science and Technology. She received her PhD from the Robinson College of Business at Georgia State University. Her research areas include the governance of digital platforms and ecosystems, open innovation, and blockchain.
Kunpeng Zhang (“Risk Disclosure in Crowdfunding”) is an assistant professor in the department of decision, operations and information technologies, Robert H. Smith School of Business at the University of Maryland (UMD), College Park. He is also affiliated with Maryland Transportation Institute and Applied Mathematics & Statistics, and Scientific Computation at UMD. He received his PhD from Northwestern University in 2013.
Xiaoquan (Michael) Zhang (“Risk Disclosure in Crowdfunding”) is a chair professor and associate dean at the Chinese University of Hong Kong. He is also affiliated with Tsinghua University as the Irwin and Joan Jacobs Chair. He earned his PhD in management from the Massachusetts Institute of Technology. His main research focuses are on pricing of information goods, online advertising, and Fintech. His research has appeared in American Economic Review, Management Science, Marketing Science, Journal of Marketing, MIS Quarterly, Information Systems Research, among others.
Huazhong Zhao (“Socialize More, Pay Less: Randomized Field Experiments on Social Pricing”) is an assistant professor of marketing at City University of Hong Kong. He is the PhD program coordinator at the marketing department. Dr. Zhao received his PhD in marketing in the University of Florida and his master’s and bachelor’s degrees in computer science in Oxford University and Tsinghua University.
Huimin Zhao (“Know Where to Invest: Platform Risk Evaluation in Online Lending”) is a professor of information technology management at the Lubar School of Business, University of Wisconsin-Milwaukee. He received a PhD in management information systems from the University of Arizona. He serves as a senior editor for Decision Support Systems, an associate editor for Information Systems Research, and an associate editor for the Journal of Business Analytics, and has served in the past as an associate editor for MIS Quarterly.
