About Our Authors
Panagiotis Adamopoulos (“The Decoy Effect and Recommendation Systems”) is an assistant professor at the Goizueta Business School of Emory University. Panos received a PhD from Stern School of Business of New York University. His research studies how information systems affect user behavior and transform business and society. His research has appeared in Information Systems Research, MIS Quarterly, ACM Transactions on Intelligent Systems and Technology, and the ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Manju Ahuja (“The Interdependence of Coordination and Cooperation in Information Technology Outsourcing”) is the Frasier Family Professor at the University of Louisville. Her publications have appeared in MIS Quarterly, Management Science, Organization Science, and other journals. She is currently involved in research on artificial intelligence ethics, gig economy, and the future of work. She is an Association of Information Systems Fellow and is the recipient of a Lifelong Service Award from the Academy of Management’s Communication, Digital Technology, and Organization division.
Tawfiq Alashoor (“Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing”) is an assistant professor at Copenhagen Business School, Department of Digitalization. His research focuses on privacy decision making and cybersecurity. He has published in several information systems journals and conferences. Alashoor holds BS, MS, and PhD degrees from King Fahd University of Petroleum and Minerals, Penn State University, and Georgia State University, respectively, and has completed a postdoc program at the University of Notre Dame.
Abayomi Baiyere (“Extended Generativity Theory on Digital Platforms”) is an associate professor at the Smith Business School of Queen’s University and the digitalization department of Copenhagen Business School and a research affiliate at MIT Center for Information Systems Research. His research focuses on digitalization in transformative change at both an organizational and societal level. Some of his works have appeared in leading information systems and management journals and have been recognized with several best paper awards and nominations.
Geneviève Bassellier (“All External Reference Prices Are Not the Same: How Magnitude, Source, and Fairness Shape Payment for Digital Goods”) is an associate professor of information systems at the Desautels Faculty of Management at McGill University. Her research interests include the role of social factors, persuasion, knowledge, and emotions in information technologies adoption and implementation. She has published in MIS Quarterly, Information Systems Research, the Journal of AIS, and the Journal of Management Information Systems. She served as associate editor for MIS Quarterly.
Kevin Bauer (“Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing”) is an assistant professor of e-business and e-government at the University of Mannheim. He is interested in research at the intersection of technology and economics. His current research projects focus on explainable artificial intelligence, algorithmic transparency, and human information processing.
Jesse Bockstedt (“The Decoy Effect and Recommendation Systems”) is a professor of information systems at the Goizueta Business School of Emory University. He received a PhD from Carlson School of Management at the University of Minnesota. He studies user behavior and economic issues in environments that rely on artificial intelligence, machine learning, and information technology. His research has appeared in Information Systems Research, MIS Quarterly, Journal of MIS, Journal of Operations Management, and Production and Operations Management.
Bintong Chen (“Diversity Preference-Aware Link Recommendation for Online Social Networks”) is a professor in the Department of Business Administration and director of the Institute of Financial Services Analytics at the University of Delaware. He received his PhD from the Wharton School of the University of Pennsylvania in 1990.
Gang Chen (“A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction”) is an assistant professor of data science and management engineering at the School of Management, Zhejiang University. He received the PhD degree in information systems from Fudan University. His research interests include multimodal business data analytics and multimodal deep learning. His work has appeared in such journals as MIS Quarterly, Decision Support Systems, IEEE Intelligent Systems, and Electronic Commerce Research and Applications.
Guoqing Chen (“When Images Backfire: The Effect of Customer-Generated Images on Product Rating Dynamics”) received his doctoral degree from Catholic University of Leuven (Belgium) and currently is the University Distinguished Professor at Tsinghua University (Beijing China). He is an Association for Information Systems fellow and served as the founding president of the China Association for Information Systems in 2005–2013. His recent research and teaching interests include management information systems, business analytics and decision support, e-business, etc.
Jianqing Chen (“Physical Stores as Warehouses for Online Channels: Implications for Channel Choices Under Competition”) is an Ashbel Smith Professor in Information Systems at 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.
Yuan Cheng (“Does Social Influence Change with Other Information Sources? A Large-Scale Randomized Experiment in Medical Crowdfunding”) is an associate professor and department chair of the Department of Innovation, Entrepreneurship and Strategy at the School of Economics and Management, Tsinghua University. He received his PhD in management from Tsinghua University. His current research interests include digital innovation and transformation, digital business model innovations, service management, and entrepreneurship. Cheng’s research has been published in such journals as Information Systems Research, Manufacturing and Service Operations Management, and Production and Operations Management.
Jessica Clark (“Who’s Watching TV?”) is an assistant professor of information systems at the University of Maryland Smith School of Business. Her research focuses on connecting cutting-edge machine learning techniques with end users’ needs. Jessica’s work has appeared in MIS Quarterly and Data Mining and Knowledge Discovery and, in 2017, she was awarded the European Research Paper of the Year by the Association for Information Systems. She received a PhD in information systems from the New York University Stern School of Business in 2017.
Xiao Fang (“Diversity Preference-Aware Link Recommendation for Online Social Networks”) is professor of management information systems and JPMorgan Chase Senior Fellow at Lerner College of Business & Economics and Institute for Financial Services Analytics, University of Delaware. His current research focuses on financial technology, social network analytics, and healthcare analytics. He received his PhD in management information systems from the University of Arizona.
Yulin Fang (“Satisfaction to Stay, Regret to Switch: Understanding Post-adoption Regret in Choosing Competing Technologies When Herding”) is professor of innovation and information management and director of digital economy and innovation at HKU Business School, the University of Hong Kong. He received his PhD in information systems from Ivey Business School, Canada. His current research focuses on digital innovation and transformation, and digital platform. He is a senior editor for Information Systems Research and Journal of Information Technology, and the co-editor-in-chief for Information Technology & People.
Daniel Fürstenau (“Extended Generativity Theory on Digital Platforms”) is an information systems researcher and an associate professor at the IT University of Copenhagen. He received his PhD from Freie Universität Berlin. He is an affiliated member of the Einstein Center Digital Future, a digital health researcher at Charité, a member of the Association for Information Systems and Academy of Management, and an associate editor at Information Systems Journal. His research interests include information technology management, digital health, and artificial intelligence–driven value creation. His 2019 Information Systems Research paper received the Organizational Communication and Information Systems best paper runner-up award.
Xianjun Geng (“Which Enemy to Dance with? A New Role of Software Piracy in Influencing Antipiracy Strategies”) is the Freeman School Distinguished Chair at the A. B. Freeman School, Tulane University. His research interests include pricing, supply chain management, business analytics, information security, and behavioral economics. His work has appeared in Management Science, Information Systems Research, MIS Quarterly, Production and Operations Management, Journal of Marketing, and Marketing Science. He received his PhD in innformation systems from the University of Texas at Austin.
Ram D. Gopal (“Law, Economics, and Privacy: Implications of Government Policies on Website and Third-Party Information Sharing”) is the Information Systems Society’s Distinguished Fellow and Alan Turing Institute’s Turing Fellow, and Pro-Dean for Research, Engagement, and Impact at the Warwick Business School. He also serves as the academic director of the Gillmore Centre for Financial Technology. His research spans big data analytics, health informatics, financial technologies, information security, privacy and valuation, intellectual property rights, online market design, and business impacts of technology.
Yue Guan (“When Images Backfire: The Effect of Customer-Generated Images on Product Rating Dynamics”) is an assistant professor at the School of Economics and Management, Communication University of China. She received her PhD from the School of Economics and Management, Tsinghua University. Her research interests focus on recommendation algorithm design, deep learning applications and behavior issues related to user-generated multimodal data (texts, images, and videos) on various platforms.
Zhiling Guo (“Green Data Analytics of Supercomputing from Massive Sensor Networks: Does Workload Distribution Matter?”) is an associate professor of information systems at Singapore Management University. She received a PhD from the University of Texas at Austin. Her research focuses on platform business models, FinTech innovations, cloud computing, and data analytics. Her works appear in Management Science, MIS Quarterly, and Information Systems Research. She is an associate editor at MIS Quarterly and INFORMS Journal on Computing and a senior editor at Production and Operations Management.
Hooman Hidaji (“Law, Economics, and Privacy: Implications of Government Policies on Website and Third-Party Information Sharing”) is an assistant professor of business technology management at Haskayne School of Business, University of Calgary. He joined Haskayne in 2017 after graduating with a PhD in business, operations and information systems from Alberta School of Business, University of Alberta. His current research interests include economics of information systems, information privacy, online information sharing, data regulation, and information and communication technology supply chains.
Oliver Hinz (“Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing”) 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, as well as in a number of proceedings.
Maggie Rong Hu (“Numerological Heuristics and Credit Risk in Peer-to-Peer Lending”) is an assistant professor at The Chinese University of Hong Kong Business School. She received her PhD in finance from the National University of Singapore. Her main research interests include real estate finance, empirical corporate finance, and banking.
Yu Jeffrey Hu (“Does Social Influence Change with Other Information Sources? A Large-Scale Randomized Experiment in Medical Crowdfunding”) is the Sharon A. and David B. Pearce Professor at the Scheller College of Business at Georgia Institute of Technology. He received a PhD in management science and information technology from MIT’s Sloan School of Management in 2005. His research uses econometric, machine learning, and analytical models to study consumer behaviors in environments such as electronic commerce, omni-channel retailing, offline commerce, social media, mobile app, fintech, and healthcare.
Yun Young Hur (“Does Social Influence Change with Other Information Sources? A Large-Scale Randomized Experiment in Medical Crowdfunding”) is an assistant professor of information systems and operations management at the School of Business, George Mason University. She received a PhD in IT Management from Georgia Institute of Technology. Her current research interests include social influence, multichannel management, healthcare information systems, crowdfunding, and the societal impact of information systems. Her paper won the 2019 Best Student Paper Award from the Social Media Analytics subdivision of INFORMS.
Ghiyoung P. Im (“The Interdependence of Co-ordination and Cooperation in Information Technology Outsourcing”) is an associate professor of information systems at the University of Louisville. He received his PhD from Georgia State University and an MS from the Stern School of Business at New York University. His research interests center on organizational learning, cybersecurity, artificial intelligence, and their implications for firm strategy and society. His research has appeared in MIS Quarterly, Information Systems Research, and Management Science, among others.
Yonghua Ji (“Which Enemy to Dance with? A New Role of Software Piracy in Influencing Antipiracy Strategies”) is an associate professor in the School of Business, University of Alberta. He received his PhD in information systems from the University of Texas at Dallas. His research interests include economics of information systems and disruptive technologies. He has published in journals such as Information Systems Research and Production and Operations Management. He serves as an editorial board member at Production and Operations Management and Information Technology and Management.
Fujie Jin (“Does Social Influence Change with Other Information Sources? A Large-Scale Randomized Experiment in Medical Crowdfunding”) is an assistant professor in the operations & decisions technologies department at Kelley School of Business, Indiana University. She received her PhD in operations and information systems from the Wharton School, University of Pennsylvania. Her research focuses on the impact of technology on organizations and user behavior on platforms. Her research has been published in leading journals and conferences.
Karthik Kannan (“Analyzing Frictions in Generalized Second-Price Auction Markets”) is the Halle Chair of Leadership and dean of Eller College of Management, University of Arizona. He received his PhD in information systems from Carnegie Mellon University in 2003. He is interested in studying problems at the intersection of business and technology, studying problems, such as pricing in data networks, auctions in technology contexts, and design of electronic platforms.
Mark Keil (“Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing”) is a Regents’ Professor of the University System of Georgia and the John B. Zellars Professor of Computer Information Systems in the J. Mack Robinson College of Business at Georgia State University. He has published more than 125 peer-reviewed journal articles. He holds BSE, SM, and DBA degrees from Princeton University, Massachusetts Institute of Technology Sloan School, and Harvard Business School, respectively.
Sule Nur Kutlu (“Law, Economics, and Privacy: Implications of Government Policies on Website and Third-Party Information Sharing”) is an assistant professor of business technology management at Haskayne School of Business, University of Calgary. She received her PhD from the Department of Operations and Information Management in the School of Business, University of Connecticut. Her research focuses on economics of information systems and data privacy. Her current research interests include third-party information sharing and data-protection regulations on online platforms.
Beibei Li (“Ridesharing and Digital Resilience for Urban Anomalies: Evidence from the New York City Taxi Market”) is the Anna Loomis McCandless Chair and associate professor of information technology and management at the H. John Heinz III College of Carnegie Mellon University. She received her PhD with distinction from the New York University Stern School of Business. She has extensive experience in leveraging large-scale observational data analytics and experimental analysis, with a strong focus on modeling individual user behavior across online, offline, and mobile channels for decision support.
Jin Li (“Green Data Analytics of Supercomputing from Massive Sensor Networks: Does Workload Distribution Matter?”) is an associate professor at the School of Management in Xi’an Jiaotong University. He received a PhD in management science from City University of Hong Kong. His research interests include resource allocation and management in cloud computing and consumer behaviors in electronic commerce. He has published papers in Information Systems Research, INFORMS Journal on Computing, and Journal of the Association for Information Systems, among others.
Xiaoyang Li (“Numerological Heuristics and Credit Risk in Peer-to-Peer Lending”) is an assistant professor (research) of finance at The Hong Kong Polytechnic University. He obtained his PhD in economics from the Chinese University of Hong Kong. His research interests include financial technology (FinTech), banking, and corporate finance.
Xitong Li (“Does Social Influence Change with Other Information Sources? A Large-Scale Randomized Experiment in Medical Crowdfunding”) is an associate professor in the Department of Information Systems and Operations Management, HEC Paris, France. His recent research interests include the economic and social impacts of using online data/information, and innovative technologies using online data and services. His research has been published in journals such as Information Systems Research, MIS Quarterly, and Journal of Management Information Systems. He currently serves as an associate editor for Information Systems Research. He served as a program co-chair of ICIS 2021.
Allen R. McConnell (“Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing”) is a University Distinguished Professor at Miami University. He has served as Social Psychology Program Director at the National Science Foundation, editor-in-chief of Social Psychological and Personality Science, and associate editor of the Journal of Personality and Social Psychology and the Journal of Experimental Social Psychology. He holds a BA in psychology from the University of Cincinnati and a PhD in psychology from Indiana University.
Nasim Mousavi (“The Decoy Effect and Recommendation Systems”) is a PhD candidate at the Goizueta Business School of Emory University. Her research explores how companies can leverage technologies to enhance business outcomes and how these technologies impact consumer behavior. Her research has appeared in Production and Operations Management, Conference on Digital Experimentation at the Massachusetts Institute of Technology, Conference on Information Systems and Technology, and International Conference on Information Systems.
Jean-François Paiement (“Who’s Watching TV?”) is a principal inventive scientist at the AT&T chief data office. His current research focuses on applications of machine learning algorithms to large scale mobility data. He received a PhD in machine learning from the Swiss Federal Institute of Technology in Lausanne under the supervision of Samy Bengio.
Vandith Pamuru (“Analyzing Frictions in Generalized Second-Price Auction Markets”) is an assistant professor in information systems at the Indian School of Business, Hyderabad, India. His research interests include user engagement, user-generated content, and incentive structures on online platforms. He received his PhD in management information systems from Krannert School of Management, Purdue University, in 2020.
Raymond A. Patterson (“Law, Economics, and Privacy: Implications of Government Policies on Website and Third-Party Information Sharing”), PhD, MBA, CPA (CGA), is professor and area chair in business technology management. His research interests include information systems, analytics, and quantitative decision and artificial intelligence technologies. He has published in premier journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Operations Research, Production and Operations Management, Decision Sciences Journal, Decision Support Systems, and many others.
Foster Provost (“Who’s Watching TV?”) is the Ira Rennert Professor of Entrepreneurship, Information Systems, and Data Science at the New York University (NYU) Stern School and director of the NYU Stern Fubon Center’s data analytics and artificial intelligence initiative. Foster previously was editor-in-chief of the journal Machine Learning. Foster’s research won the ACM SIGKDD Test of Time Award, the INFORMS Design Science Award, the 2016 Best Paper Award in Information Systems Research, and many others.
Sean Qian (“Ridesharing and Digital Resilience for Urban Anomalies: Evidence from the New York City Taxi Market”) is a professor jointly appointed at the Colleges of Engineering and Public Policy at Carnegie Mellon University (CMU) and directs the Mobility Data Analytics Center at CMU. Qian’s research interest is in large-scale dynamic network modeling and large-scale data analytics for multimodal transportation systems. His research has been supported by public agencies, nonprofits, and private firms and helped public agencies make optimal decisions in transportation planning and operations.
Srinivasan Raghunathan (“Physical Stores as Ware-houses for Online Channels: Implications for Channel Choices Under Competition”) is an Ashbel Smith Professor of Information Systems in the School of Management, The 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.
Jui Ramaprasad (“All External Reference Prices Are Not the Same: How Magnitude, Source, and Fairness Shape Payment for Digital Goods”) is an associate professor of information systems at the Smith School of Business, University of Maryland. Her research provides insights into how information technology can influence human behavior, shape social interactions, and drive digital transformation. She has published papers in Information Systems Research, MIS Quarterly, and Management Science. She has served on the editorial boards of MIS Quarterly and Management Science.
Ram Ramesh (“Green Data Analytics of Super-computing from Massive Sensor Networks: Does Workload Distribution Matter?”) is a professor of management science and systems at University of Buffalo. His research focuses on economics of information technology, availability analytics, and management of cloud infrastructures. He serves as co-editor-in-chief of Information Systems Frontiers and an area editor of INFORMS Journal on Computing. His works appear in Information Systems Research, INFORMS Journal on Computing, IEEE Transactions on Computers, and IEEE Transactions on Knowledge and Data Engineering.
Yaroslav Rosokha (“Analyzing Frictions in Generalized Second-Price Auction Markets”) is an associate professor of economics at the Krannert School of Management at Purdue University. He received his PhD in economics from the University of Texas at Austin in 2013. His research interests include decision making under uncertainty, decision making in strategic settings, and agent-based modeling.
Hannes Rothe (“Extended Generativity Theory on Digital Platforms”) is associate professor for information systems at the ICN Business School. He cofounded the Digital Entrepreneurship Hub at Freie Universität Berlin. His research interests lie in digital entrepreneurship, digital infrastructures and ecosystems, and organizing data and knowledge. His work has been published in journals such as Journal of the Association for Information Systems, Strategic Management Journal, Information Systems Journal, and Communications of the AIS.
Kai Schewina (“Extended Generativity Theory on Digital Platforms”) is a research assistant and data scientist at Fraunhofer Institute for Experimental Software Engineering IESE in the work group Digital Health Engineering. His research areas include digital infrastructure and generativity in platforms. His work has appeared at information systems and management conferences and in a public health journal.
Matthias Schulte-Althoff (“Extended Generativity Theory on Digital Platforms”) is a PhD student at Freie Universität Berlin and researcher at the Institute of Medical Informatics at Charité-Universitätsmedizin Berlin in the work group Digital Transformation and Applications. His research areas are medical data science and technical infrastructure in platforms and ecosystems with a focus on artificial intelligence technology. His work has been published in a leading digital health journal and at information systems and management conferences.
Olivia R. Liu Sheng (“Diversity Preference-Aware Link Recommendation for Online Social Networks”) is a Presidential Professor and Emma Eccles Jones Presidential Chair of Information Systems at the University of Utah. Her research focuses on methods and applications of predictive and prescriptive analytics. She was a recipient of the 2022 INFORMS Information Systems Society Distinguished Fellow award and a recipient of the 2016 INFORMS Design Science Award. She was on faculty at the University of Arizona from 1985 to 2002.
Lanfei Shi (“Optional Verification and Signaling in Online Matching Markets: Evidence from a Randomized Field Experiment”) is an assistant professor of information technology at the McIntire School of Commerce at the University of Virginia. She received her doctoral degree from the Robert H. Smith School of the University of Maryland, College Park. Her research centers around examining the impact and effective design of information and artificial intelligence strategies for digital multisided platforms using empirical tools, including econometrics, randomized field experiments, and business analytics.
Yang Shi (“Numerological Heuristics and Credit Risk in Peer-to-Peer Lending”) is a PhD student in finance at The University of Melbourne. She joined the finance PhD program in 2021. She obtained her MPhil in real estate and finance from The Chinese University of Hong Kong in 2021 and MSc in banking and financial market from the University of Bath in 2018. Her research interests include FinTech and alternative finance, real estate economics and finance, and empirical corporate finance.
H. Jeff Smith (“Too Tired and in Too Good of a Mood to Worry About Privacy: Explaining the Privacy Paradox Through the Lens of Effort Level in Information Processing”) was the George and Mildred Panuska Professor in the Farmer School of Business at Miami University. His research on ethical, societal, and regulatory issues associated with information privacy and technology has appeared in many top journals including MIS Quarterly and Organization Science. He earned BS, MBA, and DBA degrees from North Carolina State University, University of North Carolina in Chapel Hill, and Harvard Business School, respectively.
Can Sun (“Which Enemy to Dance with? A New Role of Software Piracy in Influencing Antipiracy Strategies”) is an assistant professor at the School of Management, University of Science and Technology of China. His research interests include economics of information systems (IS), IS-operations management interface, Internet of Things, and blockchain. He has published in journals such as ACM Transactions on Management Information Systems and Production and Operations Management. He received his PhD in operations and information systems from the University of Alberta in 2018.
Heshan Sun (“Satisfaction to Stay, Regret to Switch: Understanding Post-adoption Regret in Choosing Competing Technologies When Herding”) is the Richard Van Horn Professor of IT and Analytics in the MIS division at the University of Oklahoma’s Price College of Business. He is interested in a wide range of topics such as human technology interaction, artificial intelligence, business analytics, and online/digital behavior. His research has appeared in many prestigious academic journals such as MIS Quarterly, Information Systems Research, and the Journal of the Association for Information Systems, among others.
Yong Tan (“Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multiarmed Bandit Approach”, “When Images Backfire: The Effect of Customer-Generated Images on Product Rating 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 economics of information systems, social media and networks, sharing economy, fintech, health IT, and big data analytics. He has published in Information Systems Research, Management Science, and Management Information Systems Quarterly, among others.
Ping Tang (“Physical Stores as Warehouses for Online Channels: Implications for Channel Choices Under Competition”) is a PhD candidate in information systems at Jindal School of Management, The University of Texas at Dallas. She is interested in understanding how the new technology and business innovation impact the firm/platform strategies in the omnichannel word.
Sungyong Um (“Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress”) is an assistant professor of the Department of Information Systems and Analytics at the National University of Singapore. His research interests include digital innovation, platform ecosystem design, and software vulnerability. Um received his PhD from the Fox School of Business, Temple University.
Gregory Vial (“A Complex Adaptive Systems Perspective of Software Reuse in the Digital Age: An Agenda for IS Research”) is an associate professor of information technology at HEC Montreal. His research interests are in the areas of outsourcing, systems development practices and methodologies, and databases. His work has been published in MIT Sloan Management Review, Journal of Strategic Information Systems, European Journal of Information Systems, IEEE Software, and others.
Siva Viswanathan (“Optional Verification and Signaling in Online Matching Markets: Evidence from a Randomized Field Experiment”) is the Dean’s Professor of Information Systems and Digital Innovation at the Robert Smith School of Business, University of Maryland, College Park. Viswanathan has a PhD in information systems from the Stern School of Business, New York University. His research focuses on the implications of emerging technological innovations for platform design and strategy, consumer behaviors, and societal welfare. Viswanathan has published in top business journals and conference proceedings.
Moritz von Zahn (“Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing”) is a PhD student at the Institute of Information Systems and Information Management at Goethe University Frankfurt. His research studies the application, development, and impact of artificial intelligence. In his recent projects, he builds on causal machine learning and feature-based explanations to solve business and societal problems in real-world settings.
Yingfei Wang (“Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multiarmed Bandit Approach”) is an assistant professor of information systems at Foster School of Business, University of Washington. Her research lies at the intersection of data analytics, statistics, machine learning, and management information systems, exploring the ways in which efficient information collection influences and improves decision-making strategies, using technologies from deep learning, multi-armed bandits, reinforcement learning, Bayesian optimization, natural language processing, and beyond.
Sunil Wattal (“Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress”) (PhD, Tepper School of Business, Carnegie Mellon University) is a professor of management information systems and Harold Schaefer Senior Fellow at the Fox School of Business, Temple University, Philadelphia. He is also the associate dean of research and doctoral programs at the Fox School. His research interests include economics of information systems, privacy, software security, and internet marketing.
Qiang Wei (“When Images Backfire: The Effect of Customer-Generated Images on Product Rating Dynamics”) is a professor at the School of Economics and Management, Tsinghua University. He received a PhD in 2003 from Tsinghua University. His research interests include big data analytics, intelligent recommendation, information extraction, soft computing, etc. His work has resulted in publications in journals such as Information Systems Research, MIS Quarterly, INFORMS Journal on Computing, Journal of Management Information Systems, ACM Transactions on Knowledge Discovery from Data, etc.
Shuaiyong Xiao (“A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction”) is a postdoc at the School of Economics and Management, Tongji University. He received his PhD degree in information systems from Fudan University. His research interests include social media data analytics, machine learning, and multimodal deep learning. His work has appeared in such journals as Expert Systems with Applications, Electronic Commerce Research and Applications, and System Engineering Theory and Practice.
Lu (Lucy) Yan (“Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multiarmed Bandit Approach”) is an associate professor of information systems at the Kelley School of Business, Indiana University. Her research interests include social media in healthcare, value-based healthcare models, social and economic networks, social media in humanitarian operations, and responsible artificial intelligence for social good. She conducts research utilizing large and granular proprietary data and has published in Management Science, Information Systems Research, and Production and Operations Management, etc.
Niam Yaraghi (“Law, Economics, and Privacy: Implications of Government Policies on Website and Third-Party Information Sharing”) is an assistant professor of business technology at Miami Herbert Business School at the University of Miami and a nonresident senior fellow at the Brookings Institution’s Center for Technology Innovation. He has a BSc in industrial engineering from the Isfahan University of Technology in Iran and a MSc from the Royal Institute of Technology in Sweden. He received his PhD in management science & systems from the State University of New York at Buffalo.
Kexin Yin (“Diversity Preference-Aware Link Recommendation for Online Social Networks”) is a senior data scientist with JPMorgan Chase & Co. She received her BS and MS degrees from Tianjin University and her PhD degree in financial services analytics from the University of Delaware in 2022. Her research focuses on predictive analytics, machine learning, optimization, and social network analytics.
Yongjin Yoo (“Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress”) is the Elizabeth M. and William C. Treuhaft Professor in Entrepreneurship and professor of information systems at the Department of Design & Innovation at the Weatherhead School of Management, Case Western Reserve University. He studies digital innovation and has published at leading academic journals, such as MIS Quarterly, Information Systems Research, Organization Science, Communications of the ACM, and Academy of Management Journal, among others.
Bin Zhang (“Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress”) is an assistant professor in the Department of Information and Operations Management, Texas A&M University. His major research interests are very large social network analysis and modeling for network problems. His work appears in journals such as Information Systems Research, MIS Quarterly, and Journal of Management Information Systems. His research projects are funded by federal agencies such as the National Science Foundation. Bin received his PhD from Carnegie Mellon University.
Chenghong Zhang (“A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction”) is a professor of information management and business intelligence at the School of Management, Fudan University. He received the PhD degree in computer software from Fudan University. His current research focuses on knowledge management, business data analytics, machine learning, and deep learning. His work has appeared in such journals as Journal of the Association for Information Systems, Information & Management, and International Journal of Information Management.
Xiaoquan (Michael) Zhang (“Numerological Heuristics and Credit Risk in Peer-to-Peer Lending”) is the Irwin and Joan Jacobs Chair Professor at the School of Economics and Management, Tsinghua University. He has a PhD in management from MIT Sloan School of Management. His research interests are on issues related to creation, dissemination, and processing of information in business and management contexts. His works study pricing of information goods, online advertising, innovation and incentives, and use of artificial intelligence in financial markets.
Yingjie Zhang (“Ridesharing and Digital Resilience for Urban Anomalies: Evidence from the New York City Taxi Market”) is an assistant professor of marketing at the Guanghua School of Management at Peking University. She received her PhD from the H. John Heinz III College of Carnegie Mellon University. Her research is in three streams: human-artificial intelligence collaboration, user behavior in social-cyber-physical channels, and financial technology. She leverages a real-world trajectory to understand how individual users behave and how humans complement or would be replaced by new techniques.
Huimin Zhao (“A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction”) is a professor of information technology management at the Lubar College of Business, University of Wisconsin-Milwaukee. He received the PhD degree 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.
Tongxin Zhou (“Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multiarmed Bandit Approach”) is an assistant professor of information systems at the W. P. Carey School of Business, Arizona State University. Her research interest lies in the transformational impact of information technology with specific focuses on healthcare and e-commerce domains. She studies individuals’ behavior dynamics in personal health management, physician-patient interactions through technology, user-generated content, and information technology–enabled system designs that facilitate better efficiency and equity.
Haiyun (Melody) Zou (“Satisfaction to Stay, Regret to Switch: Understanding Post-adoption Regret in Choosing Competing Technologies When Herding”) is an assistant professor at Warwick Business School, University of Warwick. She obtained her PhD from City University of Hong Kong. She is interested in studying individual user behaviors around the post-adoption stage. Her research has appeared in Information Systems Research, Journal of the Association for Information Systems, and Information Systems Journal. She has been serving as associate editor in most information system conferences in tracks related to human behaviors, adoption and usage, and user/customer engagement.
