About Our Authors
Arslan Aziz (“Is Prevention Better Than Cure? Effects of Cyber Risk Disclosures on Shareholder Response to Breaches”) is currently a data scientist in industry. His contribution to this research was done while he was an assistant professor at the University of British Columbia. He has a PhD in information systems from The Heinz College, Carnegie Mellon University. His research interests include marketplace design and cybersecurity in healthcare. His research has been published in Information Systems Research and Workshop on Information Systems and Economics, among others.
Xuanming Bai (“Transferring, Eliminating, or Both? The Strategic Impact of Resale Platforms and Consumer Learning on Coping with Consumer Uncertainty”) is currently an assistant professor of the Department of Operation and Supply Chain Management, College of Management and Economics, Tianjin University. He received his PhD in management science and engineering from Nankai University in 2021.
David Bendig (“CEO Human Capital and Digital Product Innovation: A Dynamic Managerial Capabilities Perspective”) is a professor at the University of Münster, Germany. He received his doctorate from RWTH Aachen University, Germany. His areas of research interest include entrepreneurial, innovation, and digitalization management. He has published in academic journals such as MIS Quarterly, Journal of Strategic Information Systems, Journal of Marketing, Research Policy, Entrepreneurship Theory and Practice, and Journal of Operations Management.
Chengxin Cao (“Evening the Odds in a Gendered Workplace: The Empowering Role of Knowledge Repositories”) is an assistant professor in the Paul H. Chook Department of Information Systems and Statistics at Zicklin School of Business, Baruch College. Her research interests are in the area of the impact of information technology on mergers and acquisitions, firm information provision, artificial intelligence, and the economics of information systems.
Jingcun Cao (“Review Manipulation and Filtering on Digital Platforms”) is an assistant professor of marketing at the Faculty of Business and Economics, the University of Hong Kong. He gained his PhD degree in marketing from the Kelley School of Business, Indiana University, in 2020. His research tries to address substantively important and managerially relevant problems using econometrics, field experiments, and machine learning. His expertise lies in mobile app ecosystems, online education, healthcare, applied machine learning, and policy intervention.
Rui Cao (“Is Prevention Better Than Cure? Effects of Cyber Risk Disclosures on Shareholder Response to Breaches”) is a PhD candidate in management information systems at the University of British Columbia. Her research interests include the management of technology and information, data privacy, information disclosure, and market efficiency of information. Her research has been published in journals and conferences such as International Joint Conference on Artificial Intelligence, Artificial Intelligence, Hawaii International Conference on System Sciences, and Pacific Asia Conference on Information Systems.
Hasan Cavusoglu (“Is Prevention Better Than Cure? Effects of Cyber Risk Disclosures on Shareholder Response to Breaches”) is a professor of management information systems at the Sauder School of Business, University of British Columbia. He received his PhD in management science from the University of Texas at Dallas. His research interests are the economics of information systems, economics of information security, and management of technology and information. His research has been published in Management Information Systems Quarterly, Management Science, and Information Systems Research.
Huseyin Cavusoglu (“Unveiling the Strategic Impacts of Extending Membership-Based Free Shipping Programs Beyond the Online Marketplaces”) is a professor of information systems at the University of Texas at Dallas.
Kalok Chan (“Attention or Sentiment: How Social Media React to ESG?”) is a chair professor of finance at City University of Hong Kong. He obtained his BSc in economics from The Chinese University of Hong Kong and PhD in finance from The Ohio State University. He has published papers in numerous top-ranked journals and has been ranked as the top finance researcher in the Asia-Pacific region. His research interests focus on dynamics of asset prices, derivatives, market microstructure, and international financial markets.
Hailiang Chen (“Third-Party Software Development Kit Utilization and Mobile App Market Performance”) is a professor of innovation and information management in the Faculty of Business and Economics, The University of Hong Kong. He earned his PhD in management information systems from Purdue University. His research interests cover a broad range of topics, including social media, fintech, artificial intelligence, venture capital, platform businesses, mobile and social commerce, the economics of information systems, and design science.
Jianqing Chen (“Sponsored Tasks and Solver Participation in Crowdsourcing Contests”) is an Ashbel Smith Professor in Information Systems at the Jindal School of Management, The University of Texas at Dallas. He received his PhD from The University of Texas at Austin, and his research interests include platform business models, the economic impact of artificial intelligence, social media, and search engine advertising. His papers have been published in journals such as Management Science, Information Systems Research, MIS Quarterly, Journal of Marketing, and Journal of Marketing Research.
Xiaomeng Chen (“Chat More and Contribute Better: An Empirical Study of a Knowledge-Sharing Community”) is an assistant professor in information systems and technology management, Katz School of Business, University of Pittsburgh. She studies digital platforms, focusing on the implications of various platform strategies on platform outcomes. Her work involves econometrics and field experiments to understand the causal impacts of whether certain platform choice can bring positive outcomes. She received her PhD in applied economics and management from Cornell University, SC Johnson College of Business, in 2023.
Benjamin W. Cowan (“Cyberbullying Victimization, Mental Distress, and Adolescent Substance Use: The Role of Cyber Features”) is a professor in the School of Economic Sciences at Washington State University, a research associate in the Economics of Health program at the National Bureau of Economic Research, and a research affiliate at the Institute for Research on Poverty. He received his PhD in economics from the University of Wisconsin–Madison in 2010.
John Qi Dong (“Toward Artificial Intelligence Compliance: Impacts and Mechanisms of Performance Feedback”) is an associate professor at Nanyang Business School, Nanyang Technological University. His research interests include artificial intelligence strategy, digital transformation, digital innovation, and business value of information technology. He has published in MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Marketing, and Strategic Management Journal. He serves as an associate editor for ISR and was named “outstanding associate editor” for MISQ.
Stav Fainshmidt (“CEO Human Capital and Digital Product Innovation: A Dynamic Managerial Capabilities Perspective”) is a professor of strategy and international business in the Department of International Business at the Florida International University College of Business. His primary research interests include institutions, organizational capabilities, and research methods. He received his PhD in business administration with a concentration in strategic management and international business from Old Dominion University.
Yulin Fang (“Third-Party Software Development Kit Utilization and Mobile App Market Performance”, “Review Manipulation and Filtering on Digital Platforms”, “Healthcare at the Crossroads: Impacts of Online Health Community on Off-line Healthcare Quality and Equity”) is a professor of innovation and information management and director of the Institute of Digital Economy and Innovation at the Faculty of Business and Economics, the University of Hong Kong. He obtained his PhD from the Richard Ivey School of Business, Western University, Canada. His research focuses on digital innovation, knowledge management, social media, platform ecosystems, and e-commerce. He has published articles in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and Strategic Management Journal among others. He is senior editor of the Journal of Information Technology and co-editor-in-chief of Information Technology & People.
Jens Forderer (“Strategic Drivers of Core Expansion on Software Platforms: Evidence from Apple iOS”) is a professor of information systems and chair at the Business School of the University of Mannheim, Germany. He received his PhD in business from the University of Mannheim, Germany. His research examines the economics of information systems, particularly using quasi- and field experimental methods. His work has been published in leading academic journals of the field, including Management Science, MIS Quarterly, and Information Systems Research.
Chris Forman (“Chat More and Contribute Better: An Empirical Study of a Knowledge-Sharing Community”) is the Peter and Stephanie Nolan Professor at the Cornell SC Johnson College of Business at Cornell University. His research focuses on information technology (IT) innovation, IT strategy, and digital platforms and ecosystems. He previously has served as department editor at Management Science and as senior editor at Information Systems Research and is a recipient of the INFORMS Information Systems Society Distinguished Fellow Award. He received his PhD from Northwestern University.
Kartik K. Ganju (“Programming Tasks Impact Responses to Moral Dilemmas for Novice Programmers”) is an assistant professor in the Department of Information and Decision Sciences at the University of Minnesota. His research examines the impact of the adoption of health information technology systems. His research examines how these systems can reduce racial bias in the delivery of healthcare and allow hospitals to increase their reimbursement and its impact on physician retention. He was awarded the Gordon B. Davis young scholar award by the Information Systems Society.
Yang Gao (“Can Crowdchecking Curb Misinformation? Evidence from Community Notes”) is an assistant professor of business administration at the Gies College of Business, University of Illinois Urbana–Champaign. He received his PhD from the University of Rochester in 2021. His research focuses on the management of consumer voices on social media in the era of generative artificial intelligence. His works have been published in journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and Journal of Operations Management.
Yiwen Gao (“Chief Information Security Officers on Top Management Teams: Impact on Firms’ Innovation”) is an assistant professor of information systems in the Department of Management at Clemson University. She received her PhD degree in management information systems from Temple University in 2023. Her current research interests include firm information technology (IT) strategy with an emphasis on information security management, green IT, and IT leadership.
Tomer Geva (“Quality Control for Crowd Workers and for Language Models: A Framework for Free-Text Response Evaluation with No Ground Truth”) is an associate professor at Tel Aviv University’s Coller School of Management. His research focuses on artificial intelligence (AI), machine learning, and data science with emphasis on predictive modeling, generative AI, and evaluating human and AI decisions. He founded the Coller School of Management’s business data science program, and his work has been published in Information Systems Research (ISR), MIS Quarterly (MISQ), Management Science, IEEE Transactions on Knowledge and Data Engineering, Data Mining and Knowledge Discovery, and Decision Support Systems (DSS). He serves as associate editor at MISQ and senior editor at DSS.
Joseph Golden (“Geographical Pattern of Online Word of Mouth: How Offline Environment Influences Online Sharing”) is the CEO of PerfectRec. He received his PhD in economics from the University of Michigan.
Anat Goldstein (“Quality Control for Crowd Workers and for Language Models: A Framework for Free-Text Response Evaluation with No Ground Truth”) is an assistant professor of industrial engineering and management at Ariel University and a member of its Data Science and AI Research Center. She received her PhD in information systems, MBA, and BA in computer science and economics from Tel-Aviv University. Her research develops data science and machine-learning methods and tools within various domains, including e-commerce, peer-to-peer platforms, medicine, and agriculture. Her work appears in leading peer-reviewed journals and conference proceedings.
Xian Gu (“Review Manipulation and Filtering on Digital Platforms”) is an assistant professor of marketing at the Kelley School of Business at Indiana University. She received her PhD in marketing from the University of Maryland in 2019. Her research interests are in quantitative marketing with applications of econometric models, machine learning techniques, and Bayesian methods to the substantive areas of digital marketing focusing on influencer marketing, live streaming, freemiums, and mobile marketing.
Yutong Guo (“Do We Think Differently When Tapping the Screen or Clicking the Mouse? Effects of Computer Interfaces on Level of Construal”) is an assistant professor at the Shenzhen Finance Institute and School of Management and Economics, The Chinese University of Hong Kong, Shenzhen. She earned her PhD from the National University of Singapore. Her research interests focus on understanding consumer and marketer behaviors in the context of digital technologies. Her research has been published in journals such as Production and Operations Management and ACM Transactions on Management Information Systems.
Alok Gupta (“Evening the Odds in a Gendered Workplace: The Empowering Role of Knowledge Repositories”) is the Curtis L. Carlson Schoolwide Chair in Information Management at the Carlson School of Management, University of Minnesota. His expertise includes data communications, information security and digital rights management, decision support systems, real-time mechanisms, information economics, network externality and pricing, online auctions, artificial intelligence and future of work, and smart cities.
André Halckenhaeusser (“Strategic Drivers of Core Expansion on Software Platforms: Evidence from Apple iOS”) is a postdoc at the Chair of General Management and Information Systems (Prof. Dr. Armin Heinzl), University of Mannheim. He holds a PhD in information systems and a master’s in economic and business education from the University of Mannheim. His research focuses on the design and governance of digital platforms and the role of artificial intelligence in platform strategies. His work has been published in the proceedings of international information systems conferences.
Wencui Han (“When Gig Workers No Longer Gig: The Impact of California Assembly Bill 5 on the Online Labor Market”) is an associate professor of operations and decision analytics at the College of Business, Stony Brook University. Her research examines the societal impacts of technological innovations and how these innovations influence decision making. Her recent work focuses on digital platforms and artificial intelligence, notably in the contexts of sharing and gig economy, healthcare, and fintech.
Zhuang Hao (“Cyberbullying Victimization, Mental Distress, and Adolescent Substance Use: The Role of Cyber Features”) is an associate professor in economics at the School of Economics and Management, Beihang University. He obtained his PhD in economics from Washington State University, United States, in 2018. His research interests are health and labor economics. His research has been published in journals such as Economic Inquiry, Health Economics, and the American Journal of Health Economics and is covered by major media outlets, including the New York Times and National Public Radio.
Kevin Andrew Harmon (“A General-Purpose IT Intervention to Improve Human Decision Making, Strengthen Passwords, and Reduce Receptivity to Misinformation”) is an assistant professor of information systems at the Sam M. Walton College of Business, University of Arkansas. His research examines user experience, system latency, user emotions, and gender in information technology. His work appears in MIS Quarterly, the Journal of the Association for Information Systems, and other journals. He received his PhD from Texas Tech University. He teaches business analytics at the Walton College of Business.
Kathrin Haubner (“CEO Human Capital and Digital Product Innovation: A Dynamic Managerial Capabilities Perspective”) is an industry expert in digital innovation and an affiliated researcher at the University of Münster, Germany. She received her doctoral degree from the School of Business and Economics at the University of Münster. Her areas of interest in both research and practice include innovation, digital transformation, and top management teams. Her work has been published in journals such as the International Journal of Human Resource Management.
Qinglai He (“Impacts of Reducing Visibility of Friends’ Liked Content on User Content Engagement Across Newsfeed Channels”) is an assistant professor at the Wisconsin School of Business, University of Wisconsin–Madison. Her research interests include human–artificial intelligence interaction, incentives and creativity in user-generated content, content moderation, and online platform policy.
Armin Heinzl (“Strategic Drivers of Core Expansion on Software Platforms: Evidence from Apple iOS”) is a professor and chair at the University of Mannheim, Germany. His interests are digital innovation, (explainable) artificial intelligence, and healthcare information technology. He has held visiting positions at Harvard, University of California Berkeley, University of California Irvine, ESSEC, LSE, and USI Lugano. His research has been published in top-tier international journals, like Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Journal of Strategic Information Systems, and others.
Ola Henfridsson (“Strategic Drivers of Core Expansion on Software Platforms: Evidence from Apple iOS”) is the Schein Family Endowed Chair, a professor of business technology, and the associate dean of online business programs at Miami Herbert Business School, University of Miami. His research interests relate to digital innovation, technology management, and decentralized platforms. His research has been published in world-elite journals, such as Information Systems Research and MIS Quarterly. He is a former senior editor of Information Systems Research and MIS Quarterly.
Yi-Jen (Ian) Ho (“Game for Brainstorm: The Impact of a Badge System on Knowledge Sharing”) is an associate professor at the A.B. Freeman School of Business, Tulane University. He is interested in understanding the impacts of emerging information technologies. His current research focuses on location-based services, artificial intelligence, and digital platforms. He applies various methods to obtain insights and identify causalities, including game-theoretic modeling, econometrics, randomized experiments, and machine learning. His research has appeared in premier business journals.
Afrouz Hojati (“Content Moderation with Shadowbanning”) is a postdoctoral associate at the Haskayne School of Business, University of Calgary, where she also earned her PhD. Her research explores the economics of information systems, focusing on digital platforms and content moderation. She holds an MBA and a BSc in information technology engineering. She previously worked in the private sector as a business and marketing analyst in the e-commerce and consumer goods industries. She has published articles in Decision Support Systems, among others.
Hong Hong (“Why Is the Grass Always Greener on the Other Side? Tourist Bias in Online Restaurant Ratings”, “Attention or Sentiment: How Social Media React to ESG?”) is an associate professor in the Advanced Institute of Business at Tongji University. She obtained her PhD in management and ME in logistics engineering from Xiamen University and BS and LLB from Tianjin University. Her research interests lie in the creation and consumption of information in business contexts. Her work has been published in outlets including Information Systems Research, Decision Support Systems, and Journal of the Association for Information Science and Technology.
Özüm Kafaee (“Is Prevention Better Than Cure? Effects of Cyber Risk Disclosures on Shareholder Response to Breaches”) is the data systems and analysis manager at the University of British Columbia (UBC). She holds an MS in data science from UBC and previously pursued doctoral studies in management information systems. Her work focuses on data management, statistical analysis, and the application of data-driven methods in organizational decision making.
Johannes Kriebel (“CEO Human Capital and Digital Product Innovation: A Dynamic Managerial Capabilities Perspective”) was a professor at the Faculty of Business, Economics and Social Sciences at the University of Hamburg, Germany. He received his doctorate and completed his Habilitation at the School of Business and Economics at the University of Münster. His research interests included digital innovation, risk management, and sustainable finance. His work appeared in journals such as Decision Support Systems, Journal of Risk and Insurance, and European Journal of Operational Research.
Michael Kummer (“Chat More and Contribute Better: An Empirical Study of a Knowledge-Sharing Community”) is an associate professor at Nova School of Business and Economics. His research applies causal quantitative methods to study the creation of user-generated content in knowledge management systems such as Wikipedia and Stack Overflow, the structure of online markets, and firms’ strategic choices on data collection and innovation in mobile app markets. His work has been published in leading journals including Management Science, Information Systems Research, MIS Quarterly, and The Econometric Journal.
Dorothy E. Leidner (“Cyberbullying Victimization, Mental Distress, and Adolescent Substance Use: The Role of Cyber Features”) is the Leslie H. Goldberg Jefferson Scholars Foundation Eminent Professor of Business & AI Ethics in the McIntire School of Commerce at the University of Virginia. She holds a BA, an MBA, and a PhD from the University of Texas at Austin and an honorary doctorate from Lund University. In 2019, she was named a distinguished alumnus of Highland Park High School in Dallas, Texas, and in 2025, a distinguished PhD Alumnus of the McCombs School of Business at the University of Texas. She is a fellow and LEO of the Association for Information Systems and is the current president of the association.
Yan Leng (“Beyond Pairwise Network Interactions: Implications for Information Centrality”) is an assistant professor of information, risk, and operations management at the McCombs School of Business, The University of Texas at Austin, and courtesy faculty in the School of Information. She studies networks, social influence, and human–artificial intelligence behavior using machine learning and large-scale data and develops methods to audit, calibrate, and steer large language models. Her work appears in Information Systems Research and Management Science.
Sandro Claudio Lera (“Beyond Pairwise Network Interactions: Implications for Information Centrality”) is an assistant professor at the Risks-X Institute and the Business School of Southern University of Science and Technology. His research focuses on the emergence of large-scale phenomena in complex systems. Trained as a physicist, he holds a PhD from ETH Zurich and completed postdoctoral studies at the Massachusetts Institute of Technology.
Bo Li (“What, Why, and How: An Empiricist’s Guide to Double/Debiased Machine Learning”) received his bachelor’s degree in mathematics from Peking University and his PhD degree in statistics from the University of California, Berkeley. He is an associate professor at the School of Economics and Management, Tsinghua University. His research interests include statistical causal inference and data (AI)-driven decision making. He has published widely in academic journals and conferences across a range of fields, including statistics, management science, economics, and computer science.
Yangting Li (“The Creation of Immersive Experiences in Transcultural Entertainment: An Action Design Process Focused on Neural Rendering”) is a fellow in the Department of Management (Information Systems and Innovation Group) at the London School of Economics and Political Science. She is completing a PhD in business information systems at the University of Sydney. Her research advances contextualized theorizing in information systems, focusing on digital transformation, flow theory, and the enactment of digital technologies in socially meaningful settings.
Yongjian Li (“Transferring, Eliminating, or Both? The Strategic Impact of Resale Platforms and Consumer Learning on Coping with Consumer Uncertainty”) is currently a professor of operations and supply chain management and serves as chair of the Department of Management Science and Engineering at the Business School of Nankai University, China. He received his PhD from Nankai University in 2002. His research interests include logistics and supply chain management, operations management in platform economics, and the interface of marketing and operations management. He has published papers in Information Systems Research, Production and Operations Management, Decision Sciences, and European Journal of Operational Research, etc.
Yongjun Li (“Learning When Reading: Evidence from an Online Mobile Reading Platform”) is an associate professor at Management School, University of Science and Technology of China. His research mainly focuses on the causal inference, data envelopment analysis methodology, and their applications.
Yu-Wei Lin (“When Gig Workers No Longer Gig: The Impact of California Assembly Bill 5 on the Online Labor Market”) is an assistant professor in the Department of Information Systems & Analytics at the Leavey School of Business, Santa Clara University. He received his PhD from the University of Illinois at Urbana-Champaign. His current research focuses on how emerging technologies, digital platforms, the gig economy, and societal dynamics shape work, performance, and organizational outcomes.
Yahui Liu (“Artificial Intelligence-Powered Digital Streamers in Online Retail: Empirical Insights and Design Strategies from Experiments”) is a lecturer at the School of Business, Nanjing Audit University, China. Her research interests include artificial intelligence, digital marketing, and social media. Her research studies have been published in journals, such as the Journal of Business Research, the European Journal of Marketing, and Expert Systems with Applications among others.
Yuchen Liu (“Learning When Reading: Evidence from an Online Mobile Reading Platform”) is an assistant professor of the Department of Information Systems and Operations Management at the Warrington College of Business, University of Florida. She received her PhD from the University of Washington. Her research centers on the economics of digital consumption on community-based online platforms, with a specific focus on understanding the dynamics of user behavior.
Xin (Robert) Luo (“Transferring, Eliminating, or Both? The Strategic Impact of Resale Platforms and Consumer Learning on Coping with Consumer Uncertainty”) is a distinguished professor of management information systems, an Endowed Creative Enterprise Chair, and an Endowed Dean’s Professor of Research Excellence at the Anderson School of Management of The University of New Mexico. He received his PhD in management information systems from Mississippi State University in 2007. His research has been published in Information Systems Research (ISR), MIS Quarterly, Journal of Operations Management, Production and Operations Management, Journal of Management Information Systems, Journal of the Association for Information Systems, etc. He serves on the ISR editorial review board.
Xiaojie Mao (“What, Why, and How: An Empiricist’s Guide to Double/Debiased Machine Learning”) is an associate professor in management science and engineering at the School of Economics and Management, Tsinghua University. His research focuses on causal inference, data-driven decision making, and statistical machinelearning. His research has been published in Management Science, Operations Research, and other leading journals and conferences in statistics and machine learning.
Moksh Matta (“Is Prevention Better Than Cure? Effects of Cyber Risk Disclosures on Shareholder Response to Breaches”) is an assistant professor in the Management Information Systems Division, Beedie School of Business at Simon Fraser University. His research focuses on the governance and impact of information-technology innovations such as digital platforms, cloud computing, and artificial intelligence on business and society. He has published in leading academic journals such as Management Information Systems Quarterly and Information Systems Research.
Shahar Meir (“Quality Control for Crowd Workers and for Language Models: A Framework for Free-Text Response Evaluation with No Ground Truth”) graduated from the MSc in business data science program at Tel Aviv University’s Coller School of Management. He holds a BSc degree in computer science. He currently works as a product analysis team lead at Tymely and has more than 10 years of experience in data science and analysis.
Jiahui Mo (“Sponsored Tasks and Solver Participation in Crowdsourcing Contests”) is an assistant professor of information systems in the Department of Management at the Wilbur O. and Ann Powers College of Business, Clemson University. She received her PhD from the Naveen Jindal School of Management at The University of Texas at Dallas. Her current research interests are in open innovation, crowdsourcing, online labor markets, digital platforms, and social media. Her contributions have appeared in Information Systems Research and MIS Quarterly.
Barrie R. Nault (“Content Moderation with Shadowbanning”) is a distinguished research professor at the University of Calgary. He was on the faculty at The Ohio State University, the University of California, and the University of Alberta. He graduated from the University of British Columbia, was an information systems department editor for Management Science, and is a distinguished fellow of the INFORMS Information Systems Society. His research includes content moderation, privacy, piracy, and data portability. He has published in Information Systems Research, MIS Quarterly, and Management Science, among others.
Xixian Peng (“Do We Think Differently When Tapping the Screen or Clicking the Mouse? Effects of Computer Interfaces on Level of Construal”) is an assistant professor in the School of Management, Zhejiang University. He is also affiliated with the Neuromanagement Lab and the State Key Laboratory of Brain-Machine Intelligence at Zhejiang University. He obtained his PhD from the National University of Singapore. His research interests include human–computer interaction, live streaming, and neuroIS. His research has appeared in journals such as Information Systems Research, Production and Operations Management, and others.
Liangfei Qiu (“Examining the Impact of Generative AI on Users’ Voluntary Knowledge Contribution: Evidence from a Natural Experiment on Stack Overflow”, “When Gig Workers No Longer Gig: The Impact of California Assembly Bill 5 on the Online Labor Market”) is the PricewaterhouseCoopers Professor and University Research Foundation Professor at Warrington College of Business, University of Florida. He received his PhD from the University of Texas at Austin. His current research focuses on social technology (social networks, social media, and prediction markets), artificial intelligence and fintech, platform technology (sharing/gig economy, e-commerce platforms, and healthcare analytics), and telecommunications technology.
Srinivasan Raghunathan (“Unveiling the Strategic Impacts of Extending Membership-Based Free Shipping Programs Beyond the Online Marketplaces”) is a professor of information systems at the University of Texas at Dallas.
Jui Ramaprasad (“Programming Tasks Impact Responses to Moral Dilemmas for Novice Programmers”) is an associate professor of information systems at the Smith School of Business at the University of Maryland. Her research examines interactions on online platforms and their impact. Specifically, she studies the impact of platform features and social influence—measured by social media activity, social buzz, and social network characteristics—on user participation, interaction, consumption, and payment in online music and online dating platforms.
Gautam Ray (“Evening the Odds in a Gendered Workplace: The Empowering Role of Knowledge Repositories”) is a professor in the Information and Decision Science Department at Carlson School of Management, University of Minnesota. His research interests are in the area of the impact of information technology (IT) on firm scope and structure and how IT creates value.
Annamina Rieder (“Between Human and System Agency: Coping with Negative Incidents for Continued Effective Use of Wearables”) is an assistant professor of management information systems at the Beedie School of Business, Simon Fraser University, Canada. She received her PhD in management from the University of St. Gallen, Switzerland. Her research interests lie in effective information systems use, agentic systems, and persuasive design, particularly in the domains of digital health, social media, and sustainability. Her work has appeared in European Journal of Information Systems, Journal of Information Technology, and Decision Support Systems, among others.
Huaxia Rui (“Can Crowdchecking Curb Misinformation? Evidence from Community Notes”) is the Xerox Chair Professor and an affiliated faculty member at the Goergen Institute for Data Science and Artificial Intelligence at the University of Rochester. He is interested in artificial intelligence, economics, and social media, and he has published in academic journals in information systems, economics, and management. His research has been covered in media, including Financial Times and The Wall Street Journal. He received his PhD from the University of Texas at Austin.
Sumit Sarkar (“Sponsored Tasks and Solver Participation in Crowdsourcing Contests”) is the Charles and Nancy Davidson Distinguished Chair and professor of information systems in the Naveen Jindal School of Management at The University of Texas at Dallas. His research interests include personalization and recommendation technologies, sponsored search, crowdsourcing, data privacy, and information quality. He has been a visiting scientist at IBM Research Laboratories. He is a distinguished fellow of the INFORMS Information Systems Society and a fellow of the Association for Information Systems.
Colin Schulz (“CEO Human Capital and Digital Product Innovation: A Dynamic Managerial Capabilities Perspective”) is an assistant professor at the School of Business and Economics at the University of Münster, Germany. He holds a PhD in business administration from RWTH Aachen University. His current research interests include technology-driven innovation, corporate entrepreneurship, and the green transformation of industries. He has published in academic journals such as Journal of Business Venturing, Research Policy, and Journal of Product Innovation Management.
Mike Seymour (“The Creation of Immersive Experiences in Transcultural Entertainment: An Action Design Process Focused on Neural Rendering”) is director of the Motus Lab at the University of Sydney Business School, where his research focuses on artificial intelligence, digital humans, and immersive media. He is an engaged researcher with a focus on trust, presence, and human–computer interactions. He has published in leading journals, including Information Systems Research, Journal of the Association for Information Systems, and Harvard Business Review. His work bridges theory and practice, advancing information systems scholarship and contributing to industry innovation.
Guohou Shan (“Examining the Impact of Generative AI on Users’ Voluntary Knowledge Contribution: Evidence from a Natural Experiment on Stack Overflow”) is an assistant professor at D’Amore-McKim School of Business, Northeastern University. He received his PhD from Temple University. His current research focuses on content moderation, the economics of artificial intelligence, and feedback.
Onn Shehory (“Quality Control for Crowd Workers and for Language Models: A Framework for Free-Text Response Evaluation with No Ground Truth”) is a professor of information systems at Bar-Ilan University and director of Bar-Ilan’s Data Science and Artificial Intelligence (AI) Institute, studies multiagent systems, software engineering, and adversarial and applied AI. He holds a PhD in computer science from Bar-Ilan and held research positions at Carnegie Mellon University and IBM Research. With extensive academic and industrial experience, he led large-scale projects and advised multiple startups. He chaired leading AI and software engineering conferences and serves as associate editor for AI journals.
Bowen Shi (“What, Why, and How: An Empiricist’s Guide to Double/Debiased Machine Learning”) is a PhD candidate in management science and engineering at the School of Economics and Management, Tsinghua University. His research interests include causal inference, experimental design, and data-driven decision making. He received his BS in physics from Tsinghua University in 2022.
Tanya Singh (“Programming Tasks Impact Responses to Moral Dilemmas for Novice Programmers”) is an assistant professor of information systems at Rensselaer Polytechnic Institute, Lally School of Management. Her research examines the impacts of emerging technologies on societal outcomes, focusing on the impacts of artificial intelligence and enhancing the ethical use of artificial intelligence. Her work has been presented at premier information systems conferences.
Mani Subramani (“Evening the Odds in a Gendered Workplace: The Empowering Role of Knowledge Repositories”) is an associate professor in the Information and Decision Science Department at Carlson School of Management, University of Minnesota. His research interests include learning and expertise development, knowledge management in firms, and the influence of technologies on organizational capabilities.
Geng Sun (“Unveiling the Strategic Impacts of Extending Membership-Based Free Shipping Programs Beyond the Online Marketplaces”) is an assistant professor of information systems at the University of Texas Rio Grande Valley.
Tianshu Sun (“Geographical Pattern of Online Word of Mouth: How Offline Environment Influences Online Sharing”) is Dean’s Chair Professor of Information Systems and director of the Center for Digital Transformation at Cheung Kong Graduate School of Business. His research, conducted in collaboration with world-leading companies, addresses how firms can use artificial intelligence and big data to improve business decisions. He received a PhD in information systems from the University of Maryland.
Barney Tan (“The Creation of Immersive Experiences in Transcultural Entertainment: An Action Design Process Focused on Neural Rendering”) is senior deputy dean and professor of information systems at University of New South Wales Business School. His research focuses on digital platforms and ecosystems, systems implementation, digital transformation, and information systems qualitative research methods. He has published in leading journals, including MIS Quarterly, Information Systems Research, and Journal of the Association for Information Systems.
Yong Tan (“Learning When Reading: Evidence from an Online Mobile Reading Platform”) is the chair of the Information Systems and Operations Management and Michael G. Foster Endowed Professor at the Michael G. Foster School of Business, University of Washington. He is a distinguished academic fellow of the INFORMS Information Systems Society. He has published in Information Systems Research, Management Science, and MIS Quarterly, among other outlets.
Hock Hai Teo (“Do We Think Differently When Tapping the Screen or Clicking the Mouse? Effects of Computer Interfaces on Level of Construal”) is a Provost’s Chair Professor in the Department of Information Systems and Analytics, School of Computing at the National University of Singapore. He holds a PhD from the National University of Singapore and is a fellow of the Association for Information Systems. His research interests include healthcare, information technology (IT) innovation assimilation, and IT-enabled education. He has published broadly in top journals such as MIS Quarterly, Information Systems Research, Management Science, and others.
Jason Thatcher (“Chief Information Security Officers on Top Management Teams: Impact on Firms’ Innovation”) holds the Tandean Rustandy Esteemed Professorship at the Leeds School of Business at the University of Colorado Boulder. He received degrees from the University of Utah and Florida State University. His work appears in Information Systems Research, MIS Quarterly, and other journals. He is an avid fan of hot pot, chili peppers, and lamb on a skewer. He believes if a stomach is happy, then the mind is creative.
Eric A. Walden (“A General-Purpose IT Intervention to Improve Human Decision Making, Strengthen Passwords, and Reduce Receptivity to Misinformation”) is the Rawls Chair in the Rawls College of Business and Director of the Texas Tech Neuroimaging Institute at Texas Tech University. His research has appeared in Harvard Business Review, MIS Quarterly, Journal of the Association for Information Systems, Information Systems Research, Neuroimage, and other outlets. He earned his PhD from the University of Minnesota.
Lei Wang (“Game for Brainstorm: The Impact of a Badge System on Knowledge Sharing”, “Artificial Intelligence-Powered Digital Streamers in Online Retail: Empirical Insights and Design Strategies from Experiments”) is an assistant professor at the Kelley School of Business, Indiana University. Her research explores the integration and transformative impact of digital technologies on business strategy and user behavior. Her interests include artificial intelligence, digital platforms, gamification, and user engagement. She employs diverse methodologies, including machine learning, statistical modeling, field experiments, and laboratory studies, to examine how emerging technologies reshape organizational practices and consumer experiences. Her work has been published in leading journals, including Information Systems Research, MIS Quarterly, and Production and Operations Management among others.
Lizheng Wang (“Learning When Reading: Evidence from an Online Mobile Reading Platform”) is an associate researcher at the University of Science and Technology of China, where he graduated. His main research interests include digital platform consumer behavior and large language model–generated summaries.
Xinwei Wang (“Do We Think Differently When Tapping the Screen or Clicking the Mouse? Effects of Computer Interfaces on Level of Construal”) is a senior lecturer at the Business School, University of Auckland. She obtained her PhD from the National University of Singapore. Her research focuses on human cognition and behavior in digital environments and information technology innovation. Her work has appeared in journals such as Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, and others. She is an associate editor for the European Journal of Information Systems.
Xunyi Wang (“When Gig Workers No Longer Gig: The Impact of California Assembly Bill 5 on the Online Labor Market”) is an assistant professor in the Department of Information Systems and Business Analytics at Baylor University. He received his PhD from the University at Buffalo. His research interests are in the areas of the sharing economy, online labor market, and healthcare information technology.
Yanwen Wang (“Artificial Intelligence-Powered Digital Streamers in Online Retail: Empirical Insights and Design Strategies from Experiments”) is an associate professor of marketing and behavioral science and Canada Research Chair at the Sauder School of Business, University of British Columbia. Her research spans public health, consumer finance, and digital marketing, with publications in Marketing Science and the Journal of Marketing. She was named a Marketing Science Institute Scholar (2025) and served as an associate editor for Marketing Science and on the editorial boards of leading marketing journals.
Yusheng Wang (“Transferring, Eliminating, or Both? The Strategic Impact of Resale Platforms and Consumer Learning on Coping with Consumer Uncertainty”) is currently a research assistant professor of the Department of the Logistics and Maritime Studies, Faculty of Business, The Hong Kong Polytechnic University. He received his PhD in management science and engineering from Nankai University in 2025.
Sunil Wattal (“Chief Information Security Officers on Top Management Teams: Impact on Firms’ Innovation”) is associate dean of research and doctoral programs and professor of management information systems at the Fox School of Business, Temple University. His research focuses on digital transformation, platform economics, and privacy. He has published in MIS Quarterly, Information Systems Research, and Management Science. He holds degrees from BITS Pilani, IIM Calcutta, and Carnegie Mellon University and has received funding from the National Science Foundation and Kauffman Foundation.
Shaobo Wei (“Toward Artificial Intelligence Compliance: Impacts and Mechanisms of Performance Feedback”) is a professor at the School of Management, Hefei University of Technology. He obtained a PhD in information systems from University of Science and Technology of China and City University of Hong Kong. His research interests include human–artificial intelligence integration, enterprise systems use, and online communities. He has published in Information Systems Research, Journal of Operations Management, Journal of Business Ethics, Decision Sciences, and Journal of Information Technology.
Yanhao “Max” Wei (“Geographical Pattern of Online Word of Mouth: How Offline Environment Influences Online Sharing”) is an associate professor of marketing at Marshall School of Business, University of Southern California. His research applies economic models, econometrics, and machine learning to understand consumer and product data. He received his PhD in economics from the University of Pennsylvania.
Ji Wu (“Healthcare at the Crossroads: Impacts of Online Health Community on Off-line Healthcare Quality and Equity”) is a professor in the school of business at Sun Yat-sen University. He received a PhD in information systems from the business school, City University of Hong Kong. His research interests focus on big data analytics in electronic commerce and healthcare management. His work has appeared in Information Systems Research and MIS Quarterly, among others.
Yu Xia (“Third-Party Software Development Kit Utilization and Mobile App Market Performance”) is an assistant professor at Shenzhen Finance Institute, School of Management and Economics, The Chinese University of Hong Kong, Shenzhen, China. Her research focuses on mobile platform governance and innovation. Her research work has been published in the proceedings of the International Conference on Information Systems and the Pacific Asia Conference on Information Systems.
DaPeng Xu (“Why Is the Grass Always Greener on the Other Side? Tourist Bias in Online Restaurant Ratings”, “Attention or Sentiment: How Social Media React to ESG?”) is an associate professor in the Department of Electronic Business, South China University of Technology. He has a PhD in management awarded by Xiamen University, as well as a BS and LLB awarded by Tianjin University. His research interests include e-commerce and fintech. He has published more than a dozen articles in journals such as Information Systems Research, Industrial Management & Data Systems, and Electronic Commerce Research and Applications.
Inbal Yahav (“Quality Control for Crowd Workers and for Language Models: A Framework for Free-Text Response Evaluation with No Ground Truth”) is an associate professor at Tel Aviv University’s Coller School of Management, cochairing the CollerLab for Artificial Intelligence and Business Analytics. Her expertise is in human–machine interaction for learning and natural language processing. She holds a PhD in data mining from the University of Maryland and degrees from the Technion. Her passion for interdisciplinary research leads to collaborations with law and Middle Eastern studies. She is also an editor for a ScienceDirect data science journal.
Mochen Yang (“What, Why, and How: An Empiricist’s Guide to Double/Debiased Machine Learning”) is an associate professor in the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota. His research focuses on designing computational artifacts to facilitate decision making in complex market mechanisms and understanding algorithmic decision making. His research has been published in Information Systems Research, MIS Quarterly, Management Science, and several leading academic conferences.
Shuai Yang (“Artificial Intelligence-Powered Digital Streamers in Online Retail: Empirical Insights and Design Strategies from Experiments”) is a professor at the Glorious Sun School of Business and Management, Donghua University, China. Her primary research interests focus on artificial intelligence applications in fashion marketing. Her research studies have been published in prestigious journals, such as the Journal of Marketing Research, MIS Quarterly, Information Systems Research, and the Journal of Management Information Systems among others.
Qiang Ye (“Why Is the Grass Always Greener on the Other Side? Tourist Bias in Online Restaurant Ratings”) is a chair professor in the School of Management, University of Science and Technology of China. He has a PhD in management from Harbin Institute of Technology. His research areas include digital economy, financial technology, and business analytics. He has published more than 50 articles in various prestigious journals including Information Systems Research, Journal of Management Information Systems, Journal of Operations Management, MIS Quarterly, and Production and Operations Management.
Maggie Mengqing Zhang (“Can Crowdchecking Curb Misinformation? Evidence from Community Notes”) is a postdoctoral research associate at the McIntire School of Commerce, University of Virginia. She holds a PhD in communication from the University of Illinois Urbana–Champaign. Her research focuses on user behavior in social media environments, with a particular focus on the implications of generative artificial intelligence. Her work has been published in journals, such as Information Systems Research.
Sixuan Zhang (“Cyberbullying Victimization, Mental Distress, and Adolescent Substance Use: The Role of Cyber Features”) is an associate professor in information systems at the Management School of Jinan University, China. He received his MS and PhD in information systems from Baylor University, United States, in 2012 and 2017. His research interests include digital transformation and the dark side of information and communication technology. He has published several papers in the information systems basket journals. He has also published several papers in the proceedings of conferences such as International Conference on Information Systems and Americas’ Conference on Information Systems.
Xiaohui Zhang (“Impacts of Reducing Visibility of Friends’ Liked Content on User Content Engagement Across Newsfeed Channels”) is an assistant professor of information technology management at the Lubar College of Business, University of Wisconsin-Milwaukee. He received his PhD in information systems from Arizona State University. His research focuses on social media moderation and human-algorithm interaction. His work has appeared in academic journals including Information Systems Research, MIS Quarterly, and Production and Operations Management.
Xiaoquan (Michael) Zhang (“Why Is the Grass Always Greener on the Other Side? Tourist Bias in Online Restaurant Ratings”, “Attention or Sentiment: How Social Media React to ESG?”) is the Wei-Lun Chair Professor of Business AI at the CUHK Business School, The Chinese University of Hong Kong. He holds a PhD in management from MIT Sloan School of Management, a BEng in computer science, and a BA in english from Tsinghua University. His research has appeared in American Economic Review, Management Science, MIS Quarterly, Marketing Science, Information Systems Research, Journal of Marketing, and Journal of Management Information Systems, among others.
Yifan Zhang (“Game for Brainstorm: The Impact of a Badge System on Knowledge Sharing”) is an assistant professor at the Harbert College of Business, Auburn University. His research examines the impact of information technologies on business operations and society. He also leverages his expertise in quantitative marketing to extract actionable insights from consumer data, helping businesses optimize their marketing strategies. His work has been published in leading business journals across multiple disciplines.
Yuanyuan Zhang (“Toward Artificial Intelligence Compliance: Impacts and Mechanisms of Performance Feedback”) is a PhD student at the School of Management, Hefei University of Technology. Her research interests include human–artificial intelligence (AI) collaboration, AI use, and AI knowledge empowerment.
Zhongju Zhang (“Impacts of Reducing Visibility of Friends’ Liked Content on User Content Engagement Across Newsfeed Channels”) is the Dean’s Council Distinguished Professor of Information Systems at the W. P. Carey School of Business, Arizona State University. His research focuses on how information technology and data analytics affect consumer behavior, create business value, and transform business models. His work has appeared in Information Systems Research, MIS Quarterly, Production and Operations Management, and other academic journals.
J. Leon Zhao (“Healthcare at the Crossroads: Impacts of Online Health Community on Off-line Healthcare Quality and Equity”) is a Presidential Chair Professor of Information Systems, Chinese University of Hong Kong (Shenzhen) and director of the Center on Blockchain and Intelligent Technology. He holds a PhD from Haas School of Business, University of California, Berkeley. He has published numerus papers in Management Science, Information Systems Research, MIS Quarterly, and INFORMS Journal on Computing. He received an IBM Faculty Award and Chang Jiang Scholar Chair Professorship at Tsinghua University.
Xinyu Zhu (“Healthcare at the Crossroads: Impacts of Online Health Community on Off-line Healthcare Quality and Equity”) is an assistant professor at the College of Business and Public Management, Wenzhou-Kean University. He received his PhD from the Department of Information Systems, City University of Hong Kong with his research interest in smart healthcare and fintech.
