About Our Authors
Ahmed Abbasi (“Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality”) is the Giovanini Endowed Chair in the Department of IT, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame. He attained his PhD in Information Systems from the Artificial Intelligence Lab at the University of Arizona. His work has appeared in outlets such as MIS Quarterly, Information Systems Research, and IEEE Transactions on Knowledge and Data Engineering. He serves on various editorial boards including Information Systems Research.
Manju K. Ahuja (“Excessive Mobile Use and Family-Work Conflict: A Resource Drain Theory Approach to Examine Their Effects on Productivity and Well-Being”) is the Frazier Family Professor of Information Systems at the University of Louisville. She has been ranked among the top 50 information systems researchers worldwide. She is the recipient of the Association of Information Systems Fellow and Academy of Management’s (OCIS division) Lifetime Achievement Awards. Her research has been cited by the Wall Street Journal, New York Times, Forbes, Times of India, and LSE Business Review, among others.
A. J. Burns (“Going Beyond Deterrence: A Middle-Range Theory of Motives and Controls for Insider Computer Abuse”) is an assistant professor in the Stephenson Department of Entrepreneurship & Information Systems at the E. J. Ourso College of Business at Louisiana State University. He received his DBA from Louisiana Tech University and completed a postdoc at Vanderbilt University. His research focuses on organizational and behavioral information security. His research is published or forthcoming in Information Systems Research, Journal of the Association of Information Systems, European Journal of Information Systems, Decision Sciences, and others.
Chaoqun Deng (“Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints”) is an assistant professor of information systems in the Paul H. Chook Department of Information Systems and Statistics at the Zicklin School of Business, Baruch College. She earned her doctoral degree in information systems from Rensselaer Polytechnic Institute in Troy, New York. Her research interests center on the intersection of social media, sharing economy, and firm strategies. Her work has appeared in several premier journals and conference proceedings.
Swanand J. Deodhar (“The Impact of Social Reputation Features in Innovation Tournaments: Evidence from a Natural Experiment”) is an assistant professor of information systems at the Indian Institute of Management, Ahmedabad. He received his PhD in business administration (awarded in 2018) from Carlson School of Management, University of Minnesota–Twin Cities. His research interests include crowdsourcing and innovation tournaments, as well as user engagement in online platforms.
Sanjeev Dewan (“Self-Regulation and External Influence: The Relative Efficacy of Mobile Apps and Offline Channels for Personal Weight Management”) is a professor of information systems and faculty director of the Master of Science in Business Analytics program at the Paul Merage School of Business at the University of California, Irvine. He received his PhD in business administration in 1991 from the Simon School at the University of Rochester. He has served as an associate editor at Management Science and served two terms as the senior editor at Information Systems Research.
Yangyang Fan (“sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics”) is an assistant professor in the School of Accounting and Finance at Hong Kong Polytechnic University. She has a PhD from the University of Pittsburgh. Her research interests are financial accounting and text analysis.
Bryan Fuller (“Going Beyond Deterrence: A Middle-Range Theory of Motives and Controls for Insider Computer Abuse”), PhD, is a professor of management at Louisiana Tech University, where he holds the Humana/McCallister Endowed Professorship of Management and Marketing. His work has appeared in the Journal of Applied Psychology, Journal of Management, Journal of Organizational Behavior, Human Relations, Computers & Security, Journal of Vocational Behavior, and others. He serves on the editorial boards of Human Relations and the Journal of Organizational Behavior.
Khim-Yong Goh (“Are You What You Tweet? The Impact of Sentiment on Digital News Consumption and Social Media Sharing”) is an associate professor and head of the Department of Information Systems and Analytics at the National University of Singapore. He received his PhD in business administration from the University of Chicago. His research interests include digital media marketing and advertising, social and mobile media and platforms, and digital platform ecosystems. He has published in journals such as Management Science, MIS Quarterly, and Information Systems Research.
Anandasivam Gopal (“Digital Multisided Platforms and Women’s Health: An Empirical Analysis of Peer-to-Peer Lending and Abortion Rates”) is the President’s Chair of Information Systems and Innovation at Nanyang Business School, Nanyang Technological University, Singapore. His research interests are broadly in technology platforms, innovation, mobile platforms, IT services, and entrepreneurship. He received his PhD in information systems from the Tepper School of Business, Carnegie Mellon University. He serves as Senior Editor at Information Systems Research.
Brad N. Greenwood (“Digital Multisided Platforms and Women’s Health: An Empirical Analysis of Peer-to-Peer Lending and Abortion Rates”) is an associate professor at George Mason University. 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, notably in the contexts of healthcare and entrepreneurship. He received his PhD from the University of Maryland, College Park, and is currently a student at George Mason’s Antonin Scalia Law School.
Bin Gu (“The Hidden Costs and Benefits of Monitoring in the Gig Economy”) is the Everett W. Lord Distinguished Faculty Scholar, professor, and department chair of information systems at the Questrom School of Business, Boston University. His research interests include the future of work, online social media and social network, digital platforms, Fintech, and the management of artificial intelligence. His research has been published in Management Science, MIS Quarterly, Information Systems Research, Journal of Management Information Systems, among others.
Samrat Gupta (“The Impact of Social Reputation Features in Innovation Tournaments: Evidence from a Natural Experiment”) is an assistant professor of information systems at the Indian Institute of Management, Ahmedabad. He received his PhD in information systems (awarded in 2018) from the Indian Institute of Management, Lucknow. His research interests include crowdsourcing and innovation tournaments, community detection, and principles of complex networks.
Jungpil Hahn (“Handling Missing Values in Information Systems Research: A Review of Methods and Assumptions”) is an associate professor of information systems and analytics in the School of Computing at the National University of Singapore. He received his PhD from the University of Minnesota. His research focuses on understanding how information technology alters organizational knowledge work and has appeared in leading journals such as Information Systems Research, MIS Quarterly, Management Science, and Organization Science.
Matthew J. Hashim (“Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments”) is an associate professor of management information systems (MIS) at the Eller College of Management, University of Arizona. His research interests include user behavior, information privacy, digital piracy, information security, and social engineering. He received his PhD from the Krannert School of Management, Purdue University.
Yili Hong (“The Hidden Costs and Benefits of Monitoring in the Gig Economy”) is a professor of business technology at the Miami Herbert Business School, University of Miami. Hong is currently a senior editor of Production and Operations Management and an associate editor at Information Systems Research. His research focuses on the future of work, digital platforms, digital content, and human–AI interaction. His research has been published in Management Science, Information Systems Research, MIS Quarterly, Production and Operations Management, among others.
Ke-Wei Huang (“Handling Missing Values in Information Systems Research: A Review of Methods and Assumptions”) is an associate professor in the Department of Information Systems and Analytics at the National University of Singapore. He obtained his PhD in information systems at New York University. His fields of research include machine learning for improving social science research methods, machine learning in finance, and IT entrepreneurship. His work has been published in Information Systems Research, Strategic Management Journal, and Production and Operations Management.
Warut Khern-am-nuai (“Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments”) is an assistant professor in information systems at the Desautels Faculty of Management, McGill University. His research interests include platform for online marketplaces, predictive analytics, and management information security. He received his PhD in management information systems from Krannert School of Management, Purdue University, in 2016.
Taekyung Kim (“Self-Regulation and External Influence: The Relative Efficacy of Mobile Apps and Offline Channels for Personal Weight Management”) is an associate professor in the Department of Business Administration at Kwangwoon University. He received his PhD from Seoul National University. His research interests include social media, the metaverse, and artificial intelligence services. His research has been published in refereed journals including Information Systems Research, Journal of Management Information Systems, International Journal of Information Management, and Electronic Commerce Research and Applications.
Ron Chi-Wai Kwok (“Could Gamification Designs Enhance Online Learning Through Personalization? Lessons From a Field Experiment”) is an associate professor in the Department of Information Systems at City University of Hong Kong, where he received his PhD in Information Systems. His current research interests include health/fitness information systems, technology-mediated learning, and online collaborative games in education. His prior research has been published in Information Systems Research, Journal of Management Information Systems, Journal of Association for Information Systems, Information & Management, Communications of ACM, and other journals.
Hyeokkoo Eric Kwon (“Self-Regulation and External Influence: The Relative Efficacy of Mobile Apps and Offline Channels for Personal Weight Management”) is an assistant professor of information technology and operations management at Nanyang Business School, Nanyang Technological University. His research interests include mobile analytics of AI, marketing, digital healthcare, FinTech, and social media. His research has been published in premier journals, including Information Systems Research, Journal of Management Information Systems, Journal of Operations Management, and Production and Operations Management.
Liette Lapointe (“The Path to Hedonic Information System Use Addiction: A Process Model in the Context of Social Networking Sites”) is currently vice dean of programs at the Desautels Faculty of Management, McGill University. She is a Desautels Faculty Scholar. Her research integrates healthcare, information systems management, and behavioral issues. Her work has led to close to 50 papers in peer-reviewed publications, about 100 presentations in national and refereed conferences, and more than 40 invited guest presentations locally and internationally.
Raymond Y. K. Lau (“Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality”) received his PhD degree from Queensland University of Technology. He is an associate professor in the Department of IS at City University of Hong Kong. His research work has been published in renowned journals such as MIS Quarterly, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, INFORMS Journal on Computing, etc. He has been ranked one of the top 2% most-cited scientists by Stanford University since 2020.
Alvin Chung Man Leung (“Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment”) is an associate professor in the Department of Information Systems, City University of Hong Kong. He received his PhD in information management from McCombs School of Business, the University of Texas at Austin. His research interests include IT business value, financial technology, technology-mediated learning, and information security. His work has appeared in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Management Science, Decision Support Systems, and other journals.
Han Li (“Moving Consumers from Free to Fee in Platform-Based Markets: An Empirical Study of Multiplayer Online Battle Arena Games”) is an associate professor of management information systems at the University of New Mexico. She received her doctorate from Oklahoma State University. She has published in the Journal of the Association for Information Systems, Decision Sciences, Decision Support Systems, Operations Research, European Journal of Information Systems, and Information Systems Journal. Her research interests include fake news, information privacy and security, and health information technology.
Hongfei Li (“When More Can Be Less: The Effect of Add-On Insurance on the Consumption of Professional Services”) is an assistant professor in the Department of Decision Sciences and Managerial Economics at the Chinese University of Hong Kong (CUHK) Business School. Before joining CUHK, he received his PhD from the School of Business at the University of Connecticut and his BS and MS from Renmin University of China. His current research focuses on business analytics in emerging online platforms, applications of artificial intelligence and machine learning, and statistical methodology.
Ninghui Li (“Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments”) is the Samuel D. Conte Professor of Computer Science at Purdue University. He received a PhD in computer science from New York University. His research interests are in security and privacy. He is a fellow of the Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers. He has served as editor-in-chief for ACM Transactions on Privacy and Security since 2020 and as chair of the ACM Special Interest Group on Security, Audit and Control (2017–2021).
Xinxin Li (“When More Can Be Less: The Effect of Add-On Insurance on the Consumption of Professional Services”) is a professor of operations and information management at the School of Business at the University of Connecticut. She received her PhD from the Wharton School at the University of Pennsylvania. Her research interests lie at the intersection of information systems and marketing. Her work has been published in Management Science, MIS Quarterly, Marketing Science, Strategic Management Journal, and other journals. She is currently a senior editor for MIS Quarterly.
Chen Liang (“The Hidden Costs and Benefits of Monitoring in the Gig Economy”) is an assistant professor at the operations and information management department at the University of Connecticut. She holds a PhD from Arizona State University. Her research interests focus on the future of work, digital platforms, and artificial intelligence. Her research has appeared in Management Science, Information Systems Research, and Production and Operations Management.
Paul Benjamin Lowry (“Moving Consumers from Free to Fee in Platform-Based Markets: An Empirical Study of Multiplayer Online Battle Arena Games”, “Going Beyond Deterrence: A Middle-Range Theory of Motives and Controls for Insider Computer Abuse”) is an eminent scholar and the Suzanne Parker Thornhill Chair professor at the Pamplin College of Business at Virginia Tech, where he serves as the Business Information Technology PhD and graduate programs director. He is a former tenured full professor at the City University of Hong Kong and the University of Hong Kong. He has more than 265 publications, with more than 145 articles in Information Systems Research, Journal of Management Information Systems, MIS Quarterly, Journal of the Association of Information Systems, Information Systems Journal, European Journal of Information Systems, and others.
Xin (Robert) Luo (“Moving Consumers from Free to Fee in Platform-Based Markets: An Empirical Study of Multiplayer Online Battle Arena Games”) is an endowed Black, Albert and Mary Jane Full Professor of Information Systems and Information Assurance at the University of New Mexico. His research has been published in leading journals, including Information Systems Research, Journal of Operations Management, Journal of Management Information Systems, Journal of the Association for Information Systems, European Journal of Information Systems, and Information Systems Journal, among others.
Massimo Magni (“Excessive Mobile Use and Family-Work Conflict: A Resource Drain Theory Approach to Examine Their Effects on Productivity and Well-Being”) is an associate professor of management at Bocconi University, SDA Bocconi School of Management. His general research interests include technology-enhanced behaviors, geographically dispersed teams, and technology use in the work-life domain. His work has been published in MIS Quarterly, Journal of Management Information Systems, MIT Sloan Management Review, and World Economic Forum Agenda, among others.
Bogdan Negoita (“The Path to Hedonic Information System Use Addiction: A Process Model in the Context of Social Networking Sites”) is an associate professor of information technology at HEC Montréal. He holds a PhD in management (information systems) from the Desautels Faculty of Management at McGill University. His research interests include information systems use, the distributed championing of information technology implementations, and the management of open-source software development projects. He has published in the Journal of Information Technology and MIS Quarterly.
Hyelim Oh (“Are You What You Tweet? The Impact of Sentiment on Digital News Consumption and Social Media Sharing”) is an assistant professor at the School of Business, Sogang University. She received her PhD in information systems from McGill University. Her research interests include digital content and social media, mobile healthcare, and crowdsourcing and open innovation. She employs econometrics, machine learning, and network analysis for large-scale data analytics. Her research has been published at premiere journals, including Information Systems Research and MIS Quarterly.
Wonseok Oh (“Self-Regulation and External Influence: The Relative Efficacy of Mobile Apps and Offline Channels for Personal Weight Management”) is the K.C.B. Chair Professor of Information Systems at the College of Business at the Korea Advanced Institute of Science and Technology. He received his PhD in information systems from the Stern School of Business at New York University. His research interests include the economics of information systems, mobile strategy, and digital marketing. His research has been published in premier journals, including Information Systems Research, MIS Quarterly, and Management Science.
Gorkem Turgut Ozer (“Digital Multisided Platforms and Women’s Health: An Empirical Analysis of Peer-to-Peer Lending and Abortion Rates”) is an assistant professor of Decision Sciences at Paul College of Business and Economics, University of New Hampshire. He received his PhD from McCombs School of Business, University of Texas at Austin in Information, Risk, and Operations Management. His research lies at the nexus of business, technology, and strategy, mainly focusing on causal inference of problems in and around digital platforms and peer-to-peer markets using statistical and machine learning methods.
Jiaxu Peng (“Handling Missing Values in Information Systems Research: A Review of Methods and Assumptions”) is an assistant professor in the School of Accountancy at the Central University of Finance and Economics. She obtained her PhD in information systems and analytics from the National University of Singapore. Her research focuses on statistical analysis in empirical research, business analytics, and machine learning. Her works have been presented at the International Conference on Information Systems, the Annual POMS Conference, and the Workshop on Information Technologies and Systems.
Jing Peng (“Identification of Causal Mechanisms from Randomized Experiments: A Framework for Endogenous Mediation Analysis”, “The Hidden Costs and Benefits of Monitoring in the Gig Economy”, “When More Can Be Less: The Effect of Add-On Insurance on the Consumption of Professional Services”) is an assistant professor of operations and information management at the University of Connecticut. He received his PhD in 2016 from the University of Pennsylvania. His research focuses on business analytics in online platforms, such as social media, ecommerce, the gig economy, and online healthcare. He is also interested in developing novel econometric methods. His research has appeared in top journals such as Information Systems Research and Journal of Marketing Research.
Tuan Q. Phan (“Are You What You Tweet? The Impact of Sentiment on Digital News Consumption and Social Media Sharing”) is an associate professor of marketing and innovation and information management at the University of Hong Kong, director of the Representative Office of HKU Vietnam, associate director of the Asia Case Research Centre, and current president of the Vietnam Association for Information Systems. He received a doctorate from the Harvard Business School. Dr. Phan has published in journals such as Information Systems Research, Marketing Science, and Journal of Marketing Research.
Alain Pinsonneault (“Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments”) is the Distinguished James McGill Professor and Imasco Chair at McGill University, knight of the National Order of Québec, and fellow of both the Royal Society of Canada and Association for Information Systems. His research interests include the organizational and individual impacts of IT, user adaptation, digital platforms, e-health, and the business value of IT.
Clay Posey (“Going Beyond Deterrence: A Middle-Range Theory of Motives and Controls for Insider Computer Abuse”) is an associate professor of information systems in the Marriott School of Business at Brigham Young University. His research has been published in outlets such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, European Journal of Information Systems, and Information Systems Journal. His efforts regarding organizational cybersecurity have been sponsored by the U.S. Department of Defense, IBM, and the National Science Foundation.
T. Ravichandran (“Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints”) is the associate dean for research and Irene and Robert Bozzone’55 Distinguished Professor of Management & Technology in the Lally School of Management, Rensselaer Polytechnic Institute. The director of the Center for Supply Networks and Analytics, his research has been published or is forthcoming in the top field journals. He works with companies and start-ups on digital strategy, innovation, and supply chain management and is a frequent speaker in many industry and academic forums.
Tom L. Roberts (“Going Beyond Deterrence: A Middle-Range Theory of Motives and Controls for Insider Computer Abuse”), PhD, is the Chandler Professor of Computer information Systems in the Soules College of Business at the University of Texas at Tyler. He is the graduate program director of the College. He has more than 100 publications, including publications in Information Research, MIS Quarterly, Journal of Management Information Systems, Journal of the Association of Information Systems, and others.
Radhika Santhanam (“Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment”) holds the Michael F. Price Chair and leads the MIS Division at the Price College of Business. With a research focus to enhance human-technology interactions, her research studies at the micro perspective examine how user competencies coupled with system design enhance employee interactions with technologies. From a macro perspective, her research finds ways by which organizations can support employees in collectively appropriating the benefits of information technologies.
Suprateek Sarker (“Editorial: Continuing on an Inclusive Path to Scholarly Excellence with Renewed Vigor”) is Rolls-Royce Commonwealth Commerce Professor (Information Technology) at the McIntire School of Commerce, University of Virginia. Professor Sarker’s research, which is largely qualitative or mixed-methods in nature, has been published in many journals, including Information Systems Research, MIS Quarterly, Journal of the Association for Information Systems, and Journal of Management Information Sytems. His work has been funded by the National Science Foundation (U.S.), and he has received two honorary doctorates from leading universities in Europe. Professor Sarker currently serves as the Editor-in-Chief of Information Systems Research.
Jan Stallaert (“When More Can Be Less: The Effect of Add-On Insurance on the Consumption of Professional Services”) is a professor of operations and information management at the University of Connecticut. His research is at the interface of information systems, economics, and optimization. His research has been published in journals such as Management Science, Information Systems Research, MIS Quarterly, and other journals.
Chiara Trombini (“Excessive Mobile Use and Family-Work Conflict: A Resource Drain Theory Approach to Examine Their Effects on Productivity and Well-Being”) is a postdoctoral fellow at INSEAD, Singapore. Her research interests focus primarily on cognitive and affective interventions to reduce decision-making biases in the context of negotiations, hiring, and leadership. Using a multimethod approach that includes experiments, experience sampling methodology, and physiological responses, she also examines ways to increase well-being within organizations with positive spillover effects to the society.
Isaac Vaghefi (“The Path to Hedonic Information System Use Addiction: A Process Model in the Context of Social Networking Sites”) is an assistant professor of information systems at Zicklin School of Business, Baruch College, City University of New York. He holds a PhD from the Desautels Faculty of Management, McGill University. His research focuses on the dark side of technology use and healthcare information technologies. His works have appeared or are forthcoming in Information Systems Research, Information Systems Journal, and Journal of the American Medical Informatics Association, among others.
Le Wang (“Moving Consumers from Free to Fee in Platform-Based Markets: An Empirical Study of Multiplayer Online Battle Arena Games”) is an associate professor of management information systems at Xi’an Jiaotong University, China. He received his PhD in management science from Xi’an Jiaotong University. His research focuses on digital economy and platform business model. His research has been published in Information Systems Research, Information Systems Journal, Information and Management, and Journal of Business Research.
Kai Yang (“Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality”) obtained his PhD degree from the Department of Information Systems at the City University of Hong Kong in 2020. After his PhD graduation, he served as an assistant researcher at the City University of Hong Kong Shenzhen Research Institute. His research interests lie in Fintech, psycholinguistics, social media analysis, natural language processing, and explainable artificial intelligence.
Weining Yang (“Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments”) is a software engineer at ByteDance. He obtained his PhD in computer science from Purdue University in 2016. He has been working in the areas of security and privacy, including data privacy, password security, and human factors in security and privacy.
Yi Yang (“sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics”) is an assistant professor in the Department of Information Systems, Business Statistics and Operations Management at the Hong Kong University of Science and Technology. He has a PhD from Northwestern University. His research applies and develops machine learning methods, in particular, natural language processing algorithms for addressing business problems.
Wei Thoo Yue (“Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment”) is a professor of management 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 systems. His work has appeared in Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Decision Support Systems, and other journals.
Kunpeng Zhang (“sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics”) is an assistant professor in the Department of Decision, Operations and Information Technologies at the Robert H. Smith School of Business at the University of Maryland, College Park. He received his PhD in computer science from Northwestern University. His research interests are the application and development of scalable machine learning algorithms for addressing information system and marketing problems.
