About Our Authors
Aleksi Aaltonen (“The Performative Production of Trace Data in Knowledge Work”) is an assistant professor of management information systems at the Fox School of Business, Temple University. He holds a PhD from the London School of Economics and Political Science. He uses quantitative, qualitative, and computational methods to study new forms of organizing and innovation based on digital data and platforms. His publications have appeared in Management Science, MIS Quarterly, Journal of Management Information Systems, and other high-quality journals.
Tyson R. Browning (“Is a College Education Still Enough? The IT-Labor Relationship with Education Level, Task Routineness, and Artificial Intelligence”) is a professor of operations management in the Neeley School of Business at Texas Christian University, teaching in the MBA program. He earned a BS in engineering physics from Abilene Christian University before two master’s degrees and a PhD from Massachusetts Institute of Technology. He is also the co-editor-in-chief of the Journal of Operations Management.
Erik Brynjolfsson (“The Attention Economy: Measuring the Value of Free Goods on the Internet”) is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI, director of the Stanford Digital Economy Laboratory, Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research, and a research associate at the National Bureau of Economic Research. His research examines the effects of information technologies on business strategy, productivity and performance, digital commerce, and intangible assets.
Gordon Burtch (“Healthcare Across Boundaries: Urban-Rural Differences in the Consequences of Telehealth Adoption”) is the Kelli Questrom Associate Professor in Management, an associate professor of information systems, and a fellow of the Digital Business Institute at Boston University’s Questrom School of Business. His research, which focuses on the economic evaluation of information systems, employs empirical analyses rooted in econometrics and field experimentation to identify and quantify the drivers of individual participation in online social contexts.
Zike Cao (“Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community”) is an assistant professor of information systems at the School of Management, Zhejiang University. His research focuses on how new information technologies impact users’ behaviors and the consequent implications for business practices and regulations in various online contexts (e.g., e-commerce, social media). His work has been published in top journals in the field such as Information Systems Research. He holds a PhD in information systems from Hong Kong University of Science and Technology and a BSc from Zhejiang University.
Jason Chan (“Contextual Targeting in mHealth Apps: Harnessing Weather Information and Message Framing to Increase Physical Activity”) is an associate professor and Lawrence Fellow at the Carlson School of Management, University of Minnesota. He examines the social and business impact of emerging technologies. His works have received the Best Paper Award at MIS Quarterly, Management Science, and various top information systems conferences. He is the winner of the Nunamaker-Chen Dissertation Award and the Sandy Slaughter Early Career Award. He was named as a Top 40 Professors Under 40 by Poets & Quants.
Guoqing Chen (“Dynamic Bayesian Network–Based Product Recommendation Considering Consumers’ Multistage Shopping Journeys: A Marketing Funnel Perspective”) received a doctoral degree from Catholic University of Leuven (Belgium) and currently is a Tsinghua University distinguished professor (China). His research interests include management information systems, business analytics and decision support, and fuzzy logic.
Jianqing Chen (“When Sharing Economy Meets Traditional Business: Coopetition Between Ride-Sharing Platforms and Car-Rental Firms”) is an Ashbel Smith Professor of Information Systems at the Jindal School of Management, The University of Texas at Dallas. His research interests are in platform business models, social media and user-generated content, search engine advertising, and economics of information systems. His papers have been published in journals such as Management Science, Information Systems Research, MIS Quarterly, Journal of Marketing, and Journal of Marketing Research.
Yan Chen (“Ontology-Based Intelligent Interface Personalization for Protection Against Phishing Attacks”) is an associate professor and Ryder Eminent Scholar Chair in management information systems at the College of Business, Florida International University. She received her PhD degree in management information systems from the University of Wisconsin-Milwaukee. Her research areas include information security management, privacy, and social media. Her work has appeared in leading journals such as MIS Quarterly, Information Systems Research, and Journal of Management Information Systems.
Avinash Collis (“Countering State-Controlled Media Propaganda Through Labeling: Evidence from Facebook”) is an assistant professor at the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He is focused on studying the digitization of the economy, with a particular emphasis on the challenges that come with measuring the benefits of the digital economy. His research has been covered in major media outlets and policy reports worldwide, including the New York Times and reports by the U.S. White House.
Tobias Dehling (“A Design Theory for Transparency of Information Privacy Practices”) is a postdoctoral researcher at the Karlsruhe Institute of Technology. His research interests are information privacy, information systems decentralization, and user-centered design of information systems. He received his PhD in information systems in 2017 at the University of Kassel, Germany, and his MS in information systems in 2012 at the University of Cologne, Germany.
Jianing Ding (“Does Help Help? An Empirical Analysis of Social Desirability Bias in Ratings”) obtained a PhD in management information systems from Purdue University and now joins the Alibaba Group as a data scientist. His research mainly focuses on the economics of information systems, healthcare management and analytics, and health information technology.
Yi Ding (“Racial Discrimination and Anti-discrimination: The COVID-19 Pandemic’s Impact on Chinese Restaurants in North America”) is an assistant professor of information systems and management at Warwick Business School, the University of Warwick. She earned her PhD in information systems and analytics from the National University of Singapore. Her research focuses on the social impact of emerging technologies, and she employs a diverse range of research methods, including sequence analysis, econometrics, machine learning, natural experiments, and laboratory experiments.
Ruibin Geng (“Chilling Effect of the Enforcement of Computer Misuse Act: Evidence from Publicly Accessible Hack Forums”) is a lecturer in information systems at Xi’an Jiaotong University’s School of Management. She earned a BS in information management and information systems and a PhD in management science and engineering from Zhejiang University. Proficient in methodologies like Bayesian modeling and text mining, her research focuses on social networks and information security. Her works appear in prominent journals such as the European Journal of Operational Research.
Ulrich Gnewuch (“More Than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents”) is a postdoctoral researcher at the Institute of Information Systems and Marketing at Karlsruhe Institute of Technology. His research focuses on the design, use, and impact of artificial intelligence–based information systems in business and society. His work has been published or is forthcoming in journals such as Information Systems Research, Journal of the Association for Information Systems, and Business & Information Systems Engineering.
Ram D. Gopal (“Racial Discrimination and Anti-discrimination: The COVID-19 Pandemic’s Impact on Chinese Restaurants in North America”) is the Information Systems Society’s Distinguished Fellow and a professor of information systems and management at the Warwick Business School. He has a diverse portfolio of research that spans big data analytics, health informatics, financial technologies, information security, privacy and valuation, intellectual property rights, online market design, and business impacts of technology. His research has appeared in Management Science, Management Information Systems Quarterly, Operations Research, INFORMS Journal on Computing, and Information Systems Research.
Bin Gu (“Uncertainty Reduction vs. Reciprocity: Understanding the Effect of a Platform-Initiated Reviewer Incentive Program on Regular Ratings”) is Everett W. Lord distinguished faculty scholar, professor, and department chair of information systems at Questrom School of Business, Boston University. His research is in using information technologies and artificial intelligence to address information asymmetry and social inequity in business and society. His research has been published in Management Science, MIS Quarterly, and Journal of Management Information Systems, among others. He received his PhD from the University of Pennsylvania.
Hong Guo (“Join Up or Stay Away? Coalition Formation for Critical IT Infrastructure”) is a professor of information systems at the W. P. Carey School of Business, Arizona State University (ASU). She studies emerging information technology (IT) phenomena by characterizing their key design features, examining firms’ corresponding strategies, and analyzing the impacts of related IT policies. Her areas of expertise include digital platforms, business data visualization, digital games, algorithmic interpretability, net neutrality, etc. She teaches business data visualization at ASU.
Xunhua Guo (“Dynamic Bayesian Network–Based Product Recommendation Considering Consumers’ Multistage Shopping Journeys: A Marketing Funnel Perspective”) received a PhD from Tsinghua University (China) and currently is a professor at the Tsinghua University School of Economics and Management. His research interests include management information systems, e-commerce, social networks, and business analytics.
Sang Pil Han (“Uncertainty Reduction vs. Reciprocity: Understanding the Effect of a Platform-Initiated Reviewer Incentive Program on Regular Ratings”) is an associate professor of information systems at Arizona State University (ASU). His research interests encompass artificial intelligence and business analytics. His work has been published in Management Science, MIS Quarterly, and Information Systems Research, as well as showcased in media including the Harvard Business Review and Wall Street Journal. He co-directed ASU’s MS in business analytics and consulted for start-ups and nonprofits.
Oliver Hinz (“More Than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents”) 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 such as Information Systems Research, MIS Quarterly, Journal of Marketing, Journal of Management Information Systems, Decision Support Systems, and Business & Information Systems Engineering.
Yuheng Hu (“How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms”) is an associate professor of information system and business analytics in the Department of Information and Decision Sciences at the College of Business Administration, University of Illinois at Chicago. His research focuses on the intersection of machine learning, digital media, and human–artificial intelligence interaction. His work has been published in prestigious journals such as Information Systems Research and MIS Quarterly and he has won nine best paper awards and nominations.
Hemin Jiang (“The Impacts of Internet Monitoring on Employees’ Cyberloafing and Organizational Citizenship Behavior: A Longitudinal Field Quasi-Experiment”) is an associate professor at the School of Management at the University of Science and Technology of China. He earned his PhD in information systems from the University of Jyvaskyla, Finland. His research interest includes cross-boundary information technology (IT) usage (e.g., cyberloafing, IT-enabled remote working), information security, and privacy management. His research work has been published in the European Journal of Information Systems, Information Technology & People, and Internet Research.
Weijie Jiang (“Dynamic Bayesian Network–Based Product Recommendation Considering Consumers’ Multistage Shopping Journeys: A Marketing Funnel Perspective”) received a PhD from Tsinghua University (China). She also holds an MS from University of California, Berkeley, and currently is a machine learning engineer at Pinterest working on recommender systems.
Zhengrui Jiang (“How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms”) is a professor at the School of Business, Nanjing University. His research interests cover business intelligence, diffusion of innovations, and economics of information technology. His research has appeared in leading journals including Management Science, MIS Quarterly, and Information Systems Research. He has served as an associate editor for Information Systems Research and MIS Quarterly and won the two journals’ Outstanding Associate Editor awards in 2021 and 2016, respectively.
Zhenhui (Jack) Jiang (“The Impacts of Internet Monitoring on Employees’ Cyberloafing and Organizational Citizenship Behavior: A Longitudinal Field Quasi-Experiment”) is Padma and Hari Harilela Professor in Strategic Information Management and Area Head of Innovation and Information Management at the University of Hong Kong. His work has been accepted for publication in journals, such as MIS Quarterly, Information Systems Research, Management Science, and Journal of Management Information Systems, and also presented at top computer science conferences like CHI. He has served on the editorial boards of MIS Quarterly (senior editor), Information Systems Research (associate editor), and the Journal of Association for Information Systems (senior editor).
Ralf Kellner (“More Than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents”) is a professor of financial data analytics at Passau University. His research interests lie at the intersection of statistics, data science, natural language processing, and financial and business analytics. With this broad scope of interests, he is happy to exchange ideas with other researchers in all fields of modern and quantitative data analysis for creating new insights and values.
Seon Tae Kim (“The Attention Economy: Measuring the Value of Free Goods on the Internet”) is an associate professor of economics at Handong Global University (HGU) in South Korea and fellow of the HGU Center for Data Analysis of Finance, Business, and Economics. He earned his PhD in economics in 2011 from the W. P. Carey School of Business, Arizona State University. His research interests include the digital economy, financial/international economics, and macroeconomics.
Seung Hyun Kim (“Chilling Effect of the Enforcement of Computer Misuse Act: Evidence from Publicly Accessible Hack Forums”) is a professor of information systems (with YSB research chair professorship) at the School of Business, Yonsei University. His primary research interests include economics of information security and privacy, mobile commerce, online platform, health information technology, and digital marketing. His work has been published in MIS Quarterly, Information Systems Research, Information & Management, Journal of Interactive Marketing, Communications of the ACM, and Decision Support Systems.
Yeongin Kim (“Dinner at Your Doorstep: Service Innovation via the Gig Economy on Food Delivery Platforms”) is an assistant professor of information systems at Virginia Commonwealth University.
Anuj Kumar (“Retargeted vs. Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?”) is an associate professor of Information Systems at the Warrington College of Business Administration, University of Florida. He received his PhD in information systems management from the Heinz School at Carnegie Mellon University. His research examines omnichannel customer behavior, the economic value of algorithmic product recommendations, and the role of EdTech in improving education. His research has been published in major information systems journals, including Management Science, Information Systems Research, and MIS Quarterly.
Subodha Kumar (“Coordination in Multibrand, Multimedia Advertising: Is It Always a Good Thing?”, “Optimal Joint Assortment for an Omni-Channel Retailer”) is distinguished chair professor and founding director of the Center for Business Analytics & Disruptive Technologies at Fox School of Business. He is a board member for many organizations. He has published more than 235 articles in journals/referred conferences, two books, and many chapters/cases. He is deputy editor of Production & Operations Management and founding executive editor of Management & Business Review. He holds a robotics patent and is routinely cited in the media.
Young Kwark (“Uncertainty Reduction vs. Reciprocity: Understanding the Effect of a Platform-Initiated Reviewer Incentive Program on Regular Ratings”) received an MBA from the University of Washington at Seattle and a PhD from the University of Texas at Dallas. Her research interest includes various emerging phenomena in e-platforms. Her papers are published in academic journals including Decision Analysis, Information Systems Research, MIS Quarterly, and Management Science.
Nakyung Kyung (“Contextual Targeting in mHealth Apps: Harnessing Weather Information and Message Framing to Increase Physical Activity”) is an assistant professor at the Department of Information Systems and Analytics, School of Computing, National University of Singapore. She obtained a PhD in management engineering from the Korea Advanced Institute of Science and Technology. Her work focuses on designing effective artificial intelligence/machine learning interventions to induce healthier behavior. She uses quantitative methodologies, such as field experiments, big data analytics, and econometrics.
Byungtae Lee (“Contextual Targeting in mHealth Apps: Harnessing Weather Information and Message Framing to Increase Physical Activity”) is a professor at the College of Business, Korea Advanced Institute of Science and Technology. He obtained a PhD from the University of Texas at Austin. His research centers on the economics of information systems, information technology (IT) productivity measurement, and strategic IT investments. His papers have appeared in Information Systems Research, Journal of Management Information Systems, MIS Quarterly, and others.
Gen Li (“Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community”) is an assistant professor in the Department of Information Management and Business Intelligence, School of Management, Fudan University. He received his PhD in information systems from the School of Business and Management, Hong Kong University of Science and Technology, in 2020. His research interests include knowledge communities, crowdfunding, and economics of artificial intelligence. His research has appeared in Management Science and Journal of Management Information Systems.
Pan Li (“When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems”) is an assistant professor of information technology management in the Scheller College of Business at the Georgia Institute of Technology. His research focuses on personalization techniques. He has produced 12 journal and conference publications and has won the Best Dissertation Award and Best Student Paper Runner-Up award at the WITS 2021 Conference. He received his BS in mathematics from the University of Science and Technology of China and PhD from New York University.
Shaobo (Kevin) Li (“Racial Discrimination and Anti-discrimination: The COVID-19 Pandemic’s Impact on Chinese Restaurants in North America”) is an assistant professor in the Department of Information Systems and Management Engineering of the College of Business at Southern University of Science and Technology. His research uniquely integrates experimental methodologies and empirical models to delve into consumer behaviors within the digital age. His research findings have been featured in esteemed publications such as Journal of Consumer Research and Organizational Behavior and Human Decision Processes.
Tianyi Li (“Development Trajectory of Blockchain Platforms: The Role of Multirole”) is an assistant professor of the Department of Decisions, Operations and Technology at The Chinese University of Hong Kong. He holds a PhD from Massachusetts Institute of Technology and a BS from Peking University. He received the Dana Meadows Award (2021) from the International System Dynamics Society. His research tries to contribute modeling and algorithmic efforts to management, industrial, and policy studies from a data-driven, network-oriented, and dynamic-control perspective.
Xin Li (“Consequences of China’s 2018 Online Lending Regulation and the Promise of PolicyTech”) is a professor in the Department of Information Systems at the City University of Hong Kong. He received his PhD in management from the University of Arizona and BE and ME from Tsinghua University. His research interests include digital economy, machine learning, network analysis, and applied econometrics. His research appears in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and INFORMS Journal on Computing, among others.
Xitong Li (“Retargeted vs. Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?”) is a professor of information systems at HEC Paris, France. His research interests are in the economics of information technologies, including digital economy, online education, algorithms, and artificial intelligence. His research methods include applied econometric analysis and field and laboratory experiments. His research appears, or is forthcoming, in leading international journals such as Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, and various ACM/IEEE Transactions.
Xuelin Li (“Healthcare Across Boundaries: Urban-Rural Differences in the Consequences of Telehealth Adoption”) is an assistant professor in the Finance Department of Columbia Business School, Columbia University. His research focuses on innovation, healthcare finance, entrepreneurial finance, and information economics.
Sanghee Lim (“Contextual Targeting in mHealth Apps: Harnessing Weather Information and Message Framing to Increase Physical Activity”) is the director of data science at Enolink. Before joining Enolink, she was an assistant professor at the Carey Business School, Johns Hopkins University. She also worked as an associate consultant in the Boston Consulting Group. She obtained a PhD from the Ross School of Business, University of Michigan. Her research interests include health service management, digital ecosystems in hospitals, and artificial intelligence/machine learning-based healthcare.
Jialu Liu (“Online Food Delivery Platforms and Female Labor Force Participation”) is an assistant professor in the Department of Information, Technology, and Innovation at Antai College of Economics and Management, Shanghai Jiao Tong University. Her research focuses on the economic impact of technology. She joined Shanghai Jiao Tong University in 2022 after receiving her PhD in decision sciences and managerial economics from the Business School, Chinese University of Hong Kong. She also holds a BS in global economics and finance from Chinese University of Hong Kong.
Yidi Liu (“Consequences of China’s 2018 Online Lending Regulation and the Promise of PolicyTech”) is an assistant professor of information systems at the School of Management and Economics, the Chinese University of Hong Kong, Shenzhen. He received his PhD in information systems from the City University of Hong Kong and a bachelor’s degree in logistics management from Huazhong University of Science and Technology. His research interest covers digital economy, artificial intelligence, fintech, and network analysis. His research appears in Information Systems Research, among others.
Yipeng Liu (“Join Up or Stay Away? Coalition Formation for Critical IT Infrastructure”) is the Dean’s Outstanding Associate Professor in the Department of Operations Management and Information Systems at Northern Illinois University. He specializes in the economic modeling of information systems, using analytical modeling and game theory to delve into the economic and social intricacies within business and organizational domains. His research has been featured in top-ranked journals, including MIS Quarterly, Information Systems Research, Production and Operations Management, and Journal of Management Information Systems.
Alexander Maedche (“More Than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents”) is professor of information systems at Karlsruhe Institute of Technology, where he heads the human-centered systems lab. His research at the intersection of information systems and human–computer interaction focuses on the design of human-centered systems for better work and life. His work has been published in journals such as MIS Quarterly, Journal of the Association for Information Systems, and ACM Transactions on Interactive Intelligent Systems.
Vijay Mookerjee (“Coordination in Multibrand, Multimedia Advertising: Is It Always a Good Thing?”) is the Charles and Nancy Davidson Chair Professor of Information Systems at Naveen Jindal School of Management, University of Texas at Dallas. He holds a PhD in management from Purdue University. His research interests include digital advertising, cloud computing, and fintech. He has published extensively and serves/has served on the editorial boards of journals including Management Science, Information Systems Research, and Production and Operations Management.
Stefan Morana (“More Than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents”) is a junior professor of information systems at Saarland University. His research focuses on the human-centered design of interactive systems for the digital transformation from the perspective of the individual, organizations, and society. His research has been published or is forthcoming in journals such as Information Systems Research, Journal of the Association for Information Systems, and Business & Information Systems Engineering.
Patricia L. Moravec (“Countering State-Controlled Media Propaganda Through Labeling: Evidence from Facebook”) is an assistant professor of information systems at the Kelley School of Business at Indiana University. She earned her PhD in information systems (IS) from the Kelley School after working at KPMG. Previously, she was an assistant professor of IS at the McCombs School of Business at the University of Texas at Austin. She is published in Information Systems Research, MIS Quarterly, and the Journal of Management Information Systems.
Yao Mu (“Dynamic Bayesian Network–Based Product Recommendation Considering Consumers’ Multistage Shopping Journeys: A Marketing Funnel Perspective”) received a PhD from Tsinghua University (China) and currently is an assistant professor at the School of Business and Management, Shanghai International Studies University. Her research focuses on recommender systems, explainable artificial intelligence in management, and behavior modeling.
Barrie R. Nault (“Join Up or Stay Away? Coalition Formation for Critical IT Infrastructure”) is a distinguished research professor at the University of Calgary, and he is a distinguished fellow of the INFORMS Information Systems Society. His research includes information technology (IT) productivity, platforms, public safety networks, IT and transaction costs, and environmental incentives for new technology conversion. He has published articles in top journals such as Information Systems Research, Management Science, MIS Quarterly, Production and Operations Management, and Organization Science, among others.
Cheng Nie (“How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms”) is an assistant professor in the Department of Information Systems and Business Analytics at Iowa State University. He earned his PhD in information systems from the University of Texas at Dallas in 2018. His research interests include sharing economy, real estate marketplace, and sponsored search advertising. His research has been published in MIS Quarterly and Journal of the Association for Information Systems.
Joo Hee Oh (“The Attention Economy: Measuring the Value of Free Goods on the Internet”) is an assistant professor of information systems at Handong Global University (HGU) in South Korea and the head of the HGU Center for Data Analysis of Finance, Business, and Economics. She earned her PhD in business in 2011 from the Marshall School of Business at the University of Southern California. Her research focuses on the digital economy as well as the valuation of technology, intangible assets, and start-up companies.
Geoffrey G. Parker (“Dinner at Your Doorstep: Service Innovation via the Gig Economy on Food Delivery Platforms”) is the Charles E. Hutchinson Professor of Engineering at Dartmouth College.
Siqi Pei (“Online Food Delivery Platforms and Female Labor Force Participation”) is an assistant professor of marketing at the College of Business, Shanghai University of Finance and Economics. Her research focuses on the digital economy, artificial intelligence in business. She joined Shanghai University of Finance and Economics in 2022 after receiving her PhD in decision sciences and managerial economics from the Business School, Chinese University of Hong Kong. She holds a BS in actuarial science and a BA in applied finance from Jilin University.
Gang Peng (“Is a College Education Still Enough? The IT-Labor Relationship with Education Level, Task Routineness, and Artificial Intelligence”) is an associate professor at the College of Business and Economics, California State University, Fullerton. He earned his PhD in information systems from the Foster School of Business at the University of Washington. His research interests focus on the adoption, diffusion, usage, and impact of information technology. His research has appeared in Decision Sciences, Information Systems Research, and Journal of Management Information Systems, among others.
Jingchuan Pu (“Uncertainty Reduction vs. Reciprocity: Understanding the Effect of a Platform-Initiated Reviewer Incentive Program on Regular Ratings”) is an assistant professor of information systems at the University of Florida, where he also received his PhD in information systems. Prior to returning to his alma mater, he was an assistant professor at Pennsylvania State University for three years. His research focuses on social media, fintech, and e-commerce. His research has been published in Information Systems Research, MIS Quarterly, Production and Operations Management, and Journal of Management Information Systems.
Liangfei Qiu (“Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community”) is the PricewaterhouseCoopers Professor and University Research Foundation Professor in the Department of Information Systems and Operations Management at the Warrington College of Business, University of Florida. He received his PhD from the University of Texas at Austin. His current research focuses on prediction markets, social networks and social media platforms, telecommunications networks, and economics of information systems.
Srinivasan Raghunathan (“When Sharing Economy Meets Traditional Business: Coopetition Between Ride-Sharing Platforms and Car-Rental Firms”) is an Ashbel Smith Professor of Information Systems at the School of Management, University of Texas at Dallas. He obtained his PhD in business administration from the University of Pittsburgh. His current research interests are in the economics of information technology and systems. His papers have been published in journals such as Management Science, Information Systems Research, MIS Quarterly, and Production and Operations Management.
Arun Rai (“How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms”) is 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 co-founder of the Center for Digital Innovation. He served as the editor-in-chief for the MIS Quarterly 2016–2020 and received the LEO Award from the Association for Information Systems for Lifetime Exceptional Contributions to the Information Systems discipline.
Lauren Rhue (“The Anchoring Effect, Algorithmic Fairness, and the Limits of Information Transparency for Emotion Artificial Intelligence”) is an assistant professor of information systems at the Robert H. Smith School of Business at the University of Maryland. She has published research in multiple academic journals and law reviews on ethical implications associated with technology. She received her doctorate in information systems from New York University’s Stern School of Business and a BS in management science and engineering from Stanford University.
Amar Sapra (“Optimal Joint Assortment for an Omni-Channel Retailer”) is professor and IIMB Chair of Excellence at Indian Institute of Management Bangalore in India. He completed his PhD at Cornell University. His research interests include supply chain management, retail, and inventory management. He has co-authored a graduate textbook. His research has been published in leading journals such as Manufacturing and Service Operations Management, Operations Research, and Production and Operations Management.
Mikko Siponen (“The Impacts of Internet Monitoring on Employees’ Cyberloafing and Organizational Citizenship Behavior: A Longitudinal Field Quasi-Experiment”) is a professor of information systems at the University of Alabama. He has a PhD in philosophy and a PhD in information systems. He is an invited member of the Finnish Academy of Science and Letters. He has worked in several countries as a visiting professor, honorary professor, invited speaker, and consultant. He has been the primary investigator for research projects funded by the Academy of Finland, the European Union, and Business Finland.
Marta Stelmaszak (“The Performative Production of Trace Data in Knowledge Work”) is an assistant professor of information systems and the Daimler Truck Professor of Analytics at The School of Business, Portland State University. She holds a PhD from the London School of Economics and Political Science and an MSc in data science. Her research interests concern data science and analytics as well as their responsible, sustainable, and ethical management in organizations.
Geng Sun (“Dinner at Your Doorstep: Service Innovation via the Gig Economy on Food Delivery Platforms”) is an assistant professor of information systems at the University of Texas Rio Grande Valley.
Hua Sun (“How Does Online Information Influence Offline Transactions? Insights from Digital Real Estate Platforms”) is a tenured associate professor of finance at Iowa State University. His research has been published or is forthcoming at the Proceedings of the National Academy of Sciences of the USA, Information Systems Research, Real Estate Economics, Journal of Real Estate Finance and Economics, and Journal of Real Estate Research, among others. He also served as an expert witness giving oral testimonies before Congressional committees about fair lending and financial inclusion.
Ali Sunyaev (“A Design Theory for Transparency of Information Privacy Practices”) is a professor at the Karlsruhe Institute of Technology. His research interests include reliable and purposeful information systems within the scope of critical infrastructures, information security, trustworthy artificial intelligence, certification of information technology (IT), and innovative health IT applications. His research has appeared in Journal of Management Information Systems, Journal of Information Technology, European Journal of Information Systems, and others.
Yinliang (Ricky) Tan (“Dinner at Your Doorstep: Service Innovation via the Gig Economy on Food Delivery Platforms”) is an associate professor of information systems at the University of Houston.
Yong Tan (“Does Help Help? An Empirical Analysis of Social Desirability Bias in Ratings”) 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 INFORMS. His research interests include economics of information systems, social media and networks, sharing economy, fintech, health information technology, artificial intelligence, and big data analytics. He has published in Management Science, Information Systems Research, and Operations Research, among others.
Chuang Tang (“Racial Discrimination and Anti-discrimination: The COVID-19 Pandemic’s Impact on Chinese Restaurants in North America”) is an assistant professor of marketing at Peking University HSBC Business School. He received a PhD in marketing from the National University of Singapore. He uses various methods, including structural models, causal inference, and field experiments, to investigate users’ behaviors and the effects of business strategies on digital platforms, especially on sharing economy platforms.
Aggeliki Tsohou (“The Impacts of Internet Monitoring on Employees’ Cyberloafing and Organizational Citizenship Behavior: A Longitudinal Field Quasi-Experiment”) is an associate professor in the Department of Informatics at Ionian University. She is a coauthor of more than 50 publications in international scientific journals and conferences, including Government Information Quarterly, the Journal of Information Technology, the Journal of the Association of Information Systems, the European Journal of Information Systems, Information Technology & People, Telematics and Informatics, European Conference on Information Systems, and Mediterranean Conference on Information Systems. She has worked as a consultant to the European Union Agency for Cybersecurity, providing expertise in information security awareness and security risk assessment.
Alexander Tuzhilin (“When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems”) is a professor of information systems and Leonard N. Stern Professor of Business at the NYU Stern School of Business. His research interests include personalization and recommender systems. He has produced more than 100 publications in various outlets, including Information Systems Research, Management Science, and IEEE and ACM journals. He received his BS in mathematics from New York University (NYU), MS in engineering economics from Stanford University, and PhD in computer science from NYU.
Xiang (Shawn) Wan (“Retargeted vs. Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?”) is an assistant professor in the Department of Information Systems & Analytics at the Leavey School of Business, Santa Clara University. He obtained his PhD from the University of Florida in 2022. His research interests lie primarily in algorithmic product recommendation systems, artificial intelligence and blockchain, and the digital economy. His works have been accepted for publication in Information Systems Research and Management Science.
Qiu-Hong Wang (“Chilling Effect of the Enforcement of Computer Misuse Act: Evidence from Publicly Accessible Hack Forums”) is a senior lecturer in the Department of Information Systems and Analytics at the National University of Singapore. Her expertise lies in the field of economics of information systems, with a specific emphasis on cybersecurity policy and threat analytics, as well as a keen interest in healthcare. She has published in journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Communications of the ACM, and Decision Support Systems.
Qiang Wei (“Dynamic Bayesian Network–Based Product Recommendation Considering Consumers’ Multistage Shopping Journeys: A Marketing Funnel Perspective”) received a PhD from Tsinghua University (China) and currently is a professor at the Tsinghua University School of Economics and Management. His research interests include big data analytics, business intelligence, explainable artificial intelligence in management, and soft computing.
Nicholas Wolczynski (“Countering State-Controlled Media Propaganda Through Labeling: Evidence from Facebook”) is a graduate student at the McCombs School of Business at the University of Texas at Austin. As part of the Computational Data Science group, he primarily focuses on the development and analysis of human–artificial intelligence (AI) collaborative systems. His work spans across a variety of domains from curbing the spread of misinformation to advising liver transplantation decisions and has been published in top AI, medical, and business venues.
Heng Xu (“An Onto-Epistemological Analysis of Information Privacy Research”) is a professor of information technology and analytics at Kogod School of Business, American University in Washington, DC, where she also directs the Kogod Cyber Governance Center. Before joining Kogod in 2018, she served as a faculty member at Penn State for 12 years and a program director at the National Science Foundation for 3 years. Her research focuses on information privacy, data analytics, data ethics, and cybersecurity management.
Yuliang Yao (“Is a College Education Still Enough? The IT-Labor Relationship with Education Level, Task Routineness, and Artificial Intelligence”) is a professor in the Alfred Lerner College of Business and Economics at the University of Delaware. He received his PhD from the University of Maryland. His publications have appeared in Management Science, Information Systems Research, MIS Quarterly, Marketing Science, Operations Research, Journal of Operations Management, Production and Operations Management, etc.
Qiang Ye (“Uncertainty Reduction vs. Reciprocity: Understanding the Effect of a Platform-Initiated Reviewer Incentive Program on Regular Ratings”) is a chair professor of the University of Science and Technology of China in the School of Management. His research focuses on digital economy, business analytics, business intelligence, and finance technology (fintech). His research has appeared in Information Systems Research, MIS Quarterly, Production and Operations Management, Journal of Management Information Systems, Tourism Management, The Journal of Futures Markets, Decision Support Systems, and other academic journals.
Guopeng Yin (“Does Help Help? An Empirical Analysis of Social Desirability Bias in Ratings”) is a data science lead at the Federal National Mortgage Association, specializing in artificial intelligence/machine learning for business operations and product innovations. He received PhD in management science from the Renmin University of China and was a professor of information systems at the University of International Business and Economics. He has published over 30 papers and presented at renowned conferences on e-commerce, social media analytics, and sharing economy.
Fatemeh Mariam Zahedi (“Ontology-Based Intelligent Interface Personalization for Protection Against Phishing Attacks”) is University of Wisconsin-Milwaukee Distinguished Professor Emerita. She received her doctoral degree from Indiana University and has served as a senior editor at MIS Quarterly and as an associate editor of MIS Quarterly and Information Systems Research. She has received funding from the National Science Foundation and has published over 120 papers in premier journals and conferences. She has authored two books: Quality Information Systems and Intelligent Systems for Business.
Chenglong Zhang (“When Sharing Economy Meets Traditional Business: Coopetition Between Ride-Sharing Platforms and Car-Rental Firms”) is an assistant professor of information systems at the Chinese University of Hong Kong, Shenzhen. He received his PhD in information systems from the University of Texas at Dallas in 2021. His current research interests are platform economy, applied artificial intelligence, and blockchain.
Dawei (David) Zhang (“Is a College Education Still Enough? The IT-Labor Relationship with Education Level, Task Routineness, and Artificial Intelligence”) is an associate professor in the College of Business at Lehigh University. He received his PhD in management information systems from the University of Calgary, Canada. He joined the Department of Decision and Technology Analytics at Lehigh University in 2015. He currently holds the Class of ‘61 professorship at Lehigh University. He is also an associate editor for Information Technology and Management.
Guanglei Zhang (“Racial Discrimination and Anti-discrimination: The COVID-19 Pandemic’s Impact on Chinese Restaurants in North America”) is a professor at the School of Management, Wuhan University of Technology, China. His research interests include human resource management practices and dirty work. He has published his research articles in management journals such as Academy of Management Journal, Journal of Business Research, and Asia Pacific Journal of Human Resources.
Nan Zhang (“An Onto-Epistemological Analysis of Information Privacy Research”) is a professor of management at Warrington College of Business, University of Florida. Before joining a business school, he was a professor of computer science at George Washington University and a professor of information sciences and technology at Penn State. He also served as a program director at the National Science Foundation. His current research focuses on societal implications of artificial intelligence and the integration of machine learning in social sciences.
Xiaoquan (Michael) Zhang (“Online Food Delivery Platforms and Female Labor Force Participation”, “Development Trajectory of Blockchain Platforms: The Role of Multirole”) is the Irwin and Joan Jacobs Chair Professor at the School of Economics and Management, Tsinghua University. He has a PhD in management from the Massachusetts Institute of Technology Sloan School of Management and several degrees (MSc, BE, BA) from Tsinghua University. His works study the pricing of information goods, online advertising, and the use of artificial intelligence in financial markets. His research has appeared in the American Economic Review, Management Science, Marketing Science, Information Systems Research, MIS Quarterly, and so on.
Huimin Zhao (“Ontology-Based Intelligent Interface Personalization for Protection Against Phishing Attacks”) is a professor of information technology management at the Lubar College of Business, University of Wisconsin-Milwaukee. He received a PhD in management information systems from the University of Arizona. He currently serves as an associate editor for Information Systems Research and Journal of Business Analytics, and has served as a senior editor for Decision Support Systems and an associate editor for MIS Quarterly.
Jinyang Zheng (“Does Help Help? An Empirical Analysis of Social Desirability Bias in Ratings”) is an assistant professor at Purdue University’s Daniels School of Business. His research focuses on managing content and online two-sided platforms, human-artificial intelligence interactions, and digital resilience using causal inference, structural models, and unstructured data analysis. He has published in Management Science, Information Systems Research, and MIS Quarterly. He received a BS from Fudan University and a PhD from the University of Washington.
Zhiqiang (Eric) Zheng (“Consequences of China’s 2018 Online Lending Regulation and the Promise of PolicyTech”) is the Ashbel Smith Professor in Information Systems at the Jindal School of Management, University of Texas at Dallas. He received his PhD from the Wharton School of Business. His current research interests focus on fintech, blockchain, and healthcare analytics. He served as a senior editor for Information Systems Research.
Meizi Zhou (“Healthcare Across Boundaries: Urban-Rural Differences in the Consequences of Telehealth Adoption”) is an assistant professor in the information systems department at Questrom School of Business, Boston University. Her research focuses on algorithmic and economic aspects of information technology-enabled platforms in the areas of recommender systems and healthcare markets.
Wangsheng Zhu (“Coordination in Multibrand, Multimedia Advertising: Is It Always a Good Thing?”) is a PhD candidate in information systems at Naveen Jindal School of Management, University of Texas at Dallas. His research interests include digital advertising, recommendation systems, the economics of information systems, data analytics, and its integration with optimization techniques to drive business decisions. His dissertation focuses on the solutions to the challenges brought by new advertising technologies to advertising media, advertising platforms, and companies.
Yingpeng Zhu (“Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community”) is an assistant professor of business intelligence and analytics at the Faculty of Business Administration, University of Macau. His research focuses on the impacts of various platform designs on user engagement and contribution, as well as how algorithm-driven decision making affects user behaviors in digital platforms. He holds a PhD in information systems from the Hong Kong University of Science and Technology.
