About Our Authors
Aleksi Aaltonen (“Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience”) is an associate professor of information systems at Stevens Institute of Technology. He received his PhD from the London School of Economics and Political Science. He studies new forms of organizing and innovation based on digital data and platforms. His research has been published in Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, and in other high-quality journals.
Ashish Agarwal (“The Effect of Popularity Cues and Peer Endorsements on Assertive Social Media Ads”) is an associate professor of Information Management and a Fayez Sarofim & Co. Centennial Fellow at the McCombs School of Business, University of Texas at Austin. He obtained his PhD from the Tepper School of Business at Carnegie Mellon University. He serves on the editorial boards of Management Science and Service Science. His research has been published in journals such as Information Systems Research, Journal of Marketing Research, Management Science, and Accounting Review.
Daniel Arce (“Dynamics of Shared Security in the Cloud”) is the Ashbel Smith Professor of Economics at the School of Economic, Political, and Policy Sciences, the University of Texas at Dallas. His research areas include cybersecurity, counterterrorism, and platform economics. His cybersecurity economics work has appeared in Computers & Security, Journal of Cybersecurity, Defence & Peace Economics, and Business and Information Systems Engineering. He is a member of the Workshop on the Economics of Information Security Steering Committee.
Konstantin Bauman (“HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems”) is an assistant professor at the Fox School of Business at Temple University. His research interests focus on developing novel artificial intelligence approaches to recommender systems that predict customer preferences and provide better-personalized advice. Before joining Fox, he worked as a postdoctoral research scientist at the Stern School of Business, New York University. He received his PhD from the Mathematical Department of Moscow State University in 2012.
Julia Becker (“Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors”) is a postdoctoral researcher, team leader, and project coordinator at the Research Institute for Vocational Education and Training GmbH. She completed her PhD degree in 2021 at the chair of marketing and innovation at the University of Bayreuth and her MSc in psychology at the Otto-Friedrich-University of Bamberg with a focus on work and organizational psychology.
Jose Benitez (“Understanding the Dynamic and Episodic Nature of Technostressors and Their Effects on Cyberdeviance: A Daily Field Investigation”) is a Bridgestone Endowed Chair Professor and department chair of information systems and business analytics at Kent State University. His research has appeared in MIS Quarterly, Journal of Operations Management, and Journal of Management Information Systems. He currently serves as the senior editor of the European Journal of Information Systems, Information & Management, and Decision Support Systems and as associate editor for the Journal of the Association for Information Systems.
Jesse Bockstedt (“The Impact of Situational Achievement Goals on Online Learning Behavior: Results from Field Experiments”) is a professor of information systems at the Goizueta Business School of Emory University. He received his PhD from the Carlson School of Management, 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 academic journals including Information Systems Research, MIS Quarterly, Journal of MIS, and Production and Operations Management.
Yang Chen (“Understanding the Dynamic and Episodic Nature of Technostressors and Their Effects on Cyberdeviance: A Daily Field Investigation”) is a professor in the School of Management and Economics, University of Electronic Science and Technology of China. He has published research papers in journals such as the European Journal of Information Systems, Human Resource Management, Journal of Applied Psychology, Journal of Management Information Systems, Information & Management, and Personnel Psychology. He currently serves as the senior editor at Internet Research.
Christy M. K. Cheung (“Understanding the Dynamic and Episodic Nature of Technostressors and Their Effects on Cyberdeviance: A Daily Field Investigation”) is a chair professor in the Department of Management, Marketing and Information Systems of Hong Kong Baptist University. She was an awardee of the RGC Senior Research Fellow Scheme with funding to advance research into the role of technology in online collective deviant behavior. Her work appears in MIS Quarterly, Information Systems Research, and the Journal of Management Information Systems. She serves as the editor-in-chief at Internet Research.
Nan Clement (“Dynamics of Shared Security in the Cloud”) is a postdoctoral associate at the Massachusetts Institute of Technology Sloan. She graduated with a PhD in economics from the University of Texas at Dallas in May 2024. Her research interests are health information technology, cybersecurity, privacy, cloud computing, responsible artificial intelligence, and how they relate to competition. She uses dynamic game theory and causal inference empirical methods in her work.
Robert E. Crossler (“Promoting Security Behaviors in Remote Work Environments: Personal Values Shaping Information Security Policy Compliance”) is the Philip L. Kays Distinguished Professor in the Carson College of Business at Washington State University. His award-winning research centers on the factors that affect individuals’ security and privacy decisions. His work has been funded by the National Science Foundation and the Department of Defense. His research has appeared several times in the AIS Senior Scholars List of Premier Journals, including in Information Systems Research and MIS Quarterly.
Emre M. Demirezen (“How to Make My Bug Bounty Cost-Effective? A Game-Theoretical Model”) is a faculty member at Warrington College of Business Administration, University of Florida, and a senior editor at Production and Operations Management. He is the vice president of the Production and Operations Management Society for the Middle East & Africa. His research focuses on online platforms and healthcare management with publications in Management Science, Information Systems Research, Production and Operations Management, and Management Information Systems Quarterly.
Alan R. Dennis (“Less Artificial, More Intelligent: Understanding Affinity, Trustworthiness, and Preference for Digital Humans”) is a professor of information systems and holds the John T. Chambers Chair of Internet Systems in the Kelley School of Business at Indiana University. He is ranked in the top five most published Information Systems researchers over the last 30 years, and a recent Standford study placed him in the top 1% most influential researchers across all scientific disciplines. His research has been reported in the popular press almost 1,000 times. He received the LEO Award in 2021.
Swanand J. Deodhar (“Does David Make A Goliath? Impact of Rival’s Expertise Signals on Online User Engagement”) is an associate professor at the Indian Institute of Management, Ahmedabad. He holds a PhD degree in business administration from the Carlson School of Management, University of Minnesota. His research interests pertain to digital platforms, innovation tournaments, and user engagement. His work has appeared in journals such as MIS Quarterly, Information Systems Research, Decision Support Systems, Journal of International Business, and Journal of Business Research.
Juan Feng (“Better Is Better? Signaling Paradoxes in Performance-Based Advertising”) is the Hon Hai Chair Professor in the department of management science and engineering, School of Economics and Management & Shenzhen International Graduate School, Tsinghua University. She holds a BA in economics from Renmin University of China and a PhD in business administration from Pennsylvania State University with a dual title in operations research.
Yi Gao (“Clocking in or Not? Optimal Design of a Novel Gamified Business Model in Online Learning”) is a PhD candidate in the Department of Management Science and Engineering in the School of Economics and Management at Tsinghua University. Her main research interests lie primarily in the economics of information systems with a particular focus on the topics related to paid knowledge products and platform economy. She has papers published at reputed conferences. She is an ad hoc reviewer for top-tier journals and conferences.
Anindya Ghose (“The Effect of Voice AI on Digital Commerce”) is the Heinz Riehl Chair professor of business at New York University. He is the author of TAP: Unlocking the Mobile Economy and THRIVE: Maximizing Well-Being in the Age of AI. He received the INFORMS Information Systems Society (ISS) Distinguished Fellow Award, the inaugural INFORMS ISS Practical Impact Award, and the Association for Information Systems Fellow Award. He is currently serving as a department editor for Management Science.
Henner Gimpel (“Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors”) is a professor of information systems and holds the chair of digital management in the Faculty of Business, Economics and Social Sciences at University of Hohenheim. He is a director of the FIM Research Center for Information Management and a member of the Branch Business & Information Systems Engineering of the Fraunhofer FIT. He studied industrial engineering and management and obtained a doctorate from the Karlsruhe Institute of Technology.
Sina Golara (“The Impact of Situational Achievement Goals on Online Learning Behavior: Results from Field Experiments”) is an assistant professor of supply chain and operations management at the J. Mack Robinson College of Business, Georgia State University. He received his PhD from W. P. Carey School of Business at Arizona State University. His research interests primarily include service operations, online service platforms, and online retailing. His research has appeared in premier academic journals, including Production and Operations Management and Information Systems Research.
Varun Grover (“Opening First-Party App Resources: Empirical Evidence of Free-Riding”) is the Billingsley Endowed Chair and Distinguished Professor at the Walton College, University of Arkansas. He is consistently ranked among the top five researchers globally, based on top journal publications (over 400), citations (around 56,000), and h-index (of 103). He has served multiple terms as senior editor of premier information systems journals (like MIS Quarterly) and numerous major roles at the International Conference on Information Systems and Americas Conference on Information Systems. He is an AIS Fellow and LEO recipient for lifetime achievement.
Bin Gu (“Monitoring and Home Bias in Global Hiring: Evidence from an Online Labor Platform”, “Omnificence or Differentiation? An Empirical Study of Knowledge Structure and Career Development of IT Workers”) is the Everett W. Lord distinguished faculty scholar, a professor, and the department chair of information systems at the Questrom School of Business at Boston University. His research interests are in using artificial intelligence and information technologies to improve decision making and address information asymmetry in businesses and societies. He is an expert on social media, digital platforms, and the societal/business value of data analytics and artificial intelligence. His research has been published in Management Science, MIS Quarterly, Information Systems Research, and Journal of Management Information Systems, among others. He received his PhD degree from the University of Pennsylvania.
Meilin Gu (“Navigating Platform-Led Affiliate Marketing: Implications for Content Creation and Platform Profitability”) is currently a PhD candidate in information systems at the School of Economics and Management, Tsinghua University. Her research interests include the economics of information systems, digital platforms, social media, and the creator economy.
Liuyi He (“The Impact of Geographic and Social Proximity on Physicians: Evidence from the Adoption of an Online Health Community”) is an associate professor at the Business School of Hunan University. She earned her PhD in management science and engineering from Shanghai Jiao Tong University in 2023. Her primary research interest is digital platform governance, encompassing contexts such as e-commerce, healthcare, and crowdfunding. Her work has been published in MIS Quarterly and other academic journals.
Qinglai He (“Platform Governance with Algorithm-Based Content Moderation: An Empirical Study on Reddit”) is an assistant professor at the Wisconsin School of Business at the University of Wisconsin–Madison. Her research interests are human–AI interaction, user-generated content, content moderation, creativity, and online platform policy.
Yili Hong (“Monitoring and Home Bias in Global Hiring: Evidence from an Online Labor Platform”, “Platform Governance with Algorithm-Based Content Moderation: An Empirical Study on Reddit”) is the centennial endowed chair and professor of business technology at the Miami Herbert Business School, University of Miami. His research interests are future of work, digital platforms, and human–AI interactions. His research has appeared in journals such as Management Science, Information Systems Research (ISR), Management Information Systems Quarterly, Production and Operations Management (POM), and INFORMS Journal on Computing. He is a senior editor of POM and an associate editor of ISR.
J.J. Po-An Hsieh (“Mobile Apps, Trading Behaviors, and Portfolio Performance: Evidence from a Quasi-Experiment in China”) is a professor at Georgia State University. He has served on the editorial board of Management Information Systems Quarterly, Information Systems Research, Journal of the Association of Information Systems, etc. He received the Annual Best Associate Editor Award from Information Systems Research, the Annual Best Published Journal Paper Award by Academy of Management (AOM), and the Best Conference Paper Award by AOM and the International Conferences on Information Systems (ICIS).
Wael Jabr (“Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience”) is an assistant professor of supply chain and information systems at the Smeal College of Business, Pennsylvania State University. He received his PhD from the University of Texas at Dallas. His research focuses on digital transformations and their impact on customers, products, services, and business processes and has been published in major information systems outlets. He has been awarded multiple international grants and received several best paper awards.
Hanchen Jiang (“Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform”) is an assistant professor in the School of Government, University of International Business and Economics. He obtained a PhD from Tsinghua University in 2019. His research interests are government social media and digital governance.
Tobias Kraemer (“Deeper Down the Rabbit Hole: How Technology Conspiracy Beliefs Emerge and Foster a Conspiracy Mindset”) serves as an assistant professor of service management in the Department of Computer Science at the University of Koblenz, Germany. He earned his PhD from EBS Business School, Germany. His research centers on factors influencing the adoption of digital innovations, customer cocreation, and customer engagement. He has published articles on these topics in Journal of the Academy of Marketing Science, Journal of Product Innovation Management, and Journal of Service Research.
Subodha Kumar (“Navigating Platform-Led Affiliate Marketing: Implications for Content Creation and Platform Profitability”, “Clocking in or Not? Optimal Design of a Novel Gamified Business Model in Online Learning”, “How to Make My Bug Bounty Cost-Effective? A Game-Theoretical Model”) is the Paul Anderson Distinguished Chair Professor and director of the Center for Business Analytics and Disruptive Technologies at Fox School of Business, Temple University. He is a board member for many organizations. He has published more than 250 papers in reputed journals and conferences, two books, book chapters, and cases. He is the deputy editor of Production and Operations Management and founding executive editor of Management and Business Review. He has held several other editorial positions. He holds a robotics patent and is routinely cited in the media.
Julia Lanzl (“Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors”) is a postdoctoral researcher at the chair of digital management at the University of Hohenheim. She is also a member of the Branch Business and Information Systems Engineering of the Fraunhofer FIT and co-head of the department at the FIM Research Center for Information Management. She finished her doctoral thesis at the University of Hohenheim in 2021 and studied business and law at the University of Augsburg until 2017.
Gunwoong Lee (“Impact of the General Data Protection Regulation on the Global Mobile App Market: Digital Trade Implications of Data Protection and Privacy Regulations”) is an associate professor of information systems at Korea University Business School and specializes in mobile application markets and artificial intelligence driven societal changes. With a PhD from Arizona State University, he has contributed to premier scholarly journals, such as Journal of Management Information Systems, Journal of the Association for Information Systems, and Decision Support Systems.
Shun-Yang Lee (“The Effect of Popularity Cues and Peer Endorsements on Assertive Social Media Ads”) is an assistant professor of marketing and Thomas E. Moore Faculty Fellow at the D’Amore-McKim School of Business, Northeastern University. He received his PhD from the University of Texas at Austin. His research focuses on the intersection of technology and marketing, with an emphasis on advertising and behavioral biases. His research has been published in journals including Information Systems Research, MIS Quarterly, and Production and Operations Management.
Beibei Li (“Learning Personalized Privacy Preference from Public Data”) is a professor of information technology and management at Carnegie Mellon University (CMU). Before she joined CMU, she received her PhD with distinction from the Leonard N. Stern School of Business at New York University. Her research interests lie at the intersection of the social, behavioral, and technical aspects of technology. She is especially interested in the interaction between human decisions and recent technological disruptions in both online and offline markets.
Ziru Li (“Impact of the General Data Protection Regulation on the Global Mobile App Market: Digital Trade Implications of Data Protection and Privacy Regulations”) is an assistant professor of global digital transformation and data analytics at the Thunderbird School of Global Management at Arizona State University. She earned her PhD in information systems from the W. P. Carey School of Business in 2021. Her research focuses on the societal and economic impacts of digital platforms and artificial intelligence and has been published in journals such as Information Systems Research, Production and Operations Management, and MIS Quarterly Executive.
Chen Liang (“Monitoring and Home Bias in Global Hiring: Evidence from an Online Labor Platform”) is an assistant professor and Ackerman Scholar in the Operations and Information Management Department, University of Connecticut. She holds a PhD from Arizona State University. Her research focuses on future of work, digital platforms, and artificial intelligence and has appeared in Management Science, Information Systems Research, MIS Quarterly, and Production and Operations Management. She has received the ISS Gordon B. Davis Young Scholar Award and the AIS Early Career Award.
Che-Wei Liu (“Mobile Apps, Trading Behaviors, and Portfolio Performance: Evidence from a Quasi-Experiment in China”) is an associate professor at Arizona State University. His research focuses on healthcare technology, tech workers, fintech, and artificial intelligence. He published in top journals, including Management Science, Management Information Systems Quarterly, and Information Systems Research. He has been awarded the International Conference on Information Systems Best Paper runner-up. He was honored with the Gordon B. Davis Young Scholar Award and the Jerome Bess Faculty Fellowship.
Dengpan Liu (“Navigating Platform-Led Affiliate Marketing: Implications for Content Creation and Platform Profitability”, “Clocking in or Not? Optimal Design of a Novel Gamified Business Model in Online Learning”) is a full professor with tenure in the Department of Management Science and Engineering at the School of Economics and Management, Tsinghua University. His research interests lie primarily in the area of economics of information systems with a particular focus on digital platforms and e-commerce. He has published in journals such as Management Science, Information Systems Research, and Management Information Systems Quarterly. He currently serves as a senior editor of Production and Operations Management.
Xiao Liu (“The Effect of Voice AI on Digital Commerce”) is an associate professor of marketing at the Stern School of Business, New York University.
Tao Lu (“Beyond Risk: A Measure of Distribution Uncertainty”) is an assistant professor at the Business School of Southern University of Science and Technology. He received his PhD from the Chinese University of Hong Kong. His research interests include digital marketing, quantitative financial modeling, and artificial intelligence applications in business.
Jifeng Luo (“The Impact of Geographic and Social Proximity on Physicians: Evidence from the Adoption of an Online Health Community”) is an associate professor of management information systems in the Antai College of Economics and Management at Shanghai Jiao Tong University. He received his PhD in information technology management from Georgia Institute of Technology in 2008. His main research interests are e-commerce, online healthcare, and impacts of information technology. He has published in MIS Quarterly, Naval Research Logistics, Journal of the Association for Information Systems, and other academic journals.
Lars Mathiassen (“Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience”) is Regents’ Professor of the University System of Georgia and GRA Eminent Scholar at the Robinson College of Business, Georgia State University. He is co-founder of the Center for Digital Innovation. He served as senior editor at MIS Quarterly, Information & Organization, and Journal of Information Technology and received the Fellow Award from the Association for Information Systems. He holds honorary doctorates from Copenhagen University, Denmark, and Umeå University, Sweden.
Zixuan Meng (“Does Virtual Reality Help Property Sales? Empirical Evidence from a Real Estate Platform”) is an assistant professor of information systems at the Naveen Jindal School of Management, University of Texas at Dallas. She received her PhD in business administration from the University of Washington. She is interested in the intersection of information systems and digital economy. Her current projects focus on fintech, human–artificial intelligence collaboration, and sharing economy.
Vitali Mindel (“Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience”) is an assistant professor in the business information technology department, Pamplin College of Business, Virginia Tech. He received his PhD from the Robinson College of Business, Georgia State University. His research primarily focuses on the governance of decentralized Web 2.0 and emergent Web3 information systems. His research has been published in MIS Quarterly, Journal of Management Information Systems, Journal of the Association for Information Systems, and Research Policy.
Sunil Mithas (“Mobile Apps, Trading Behaviors, and Portfolio Performance: Evidence from a Quasi-Experiment in China”) is world class scholar and professor at Muma College of Business at the University of South Florida. He is a distinguished fellow of the Information Systems Society of INFORMS, an AIS Fellow, a Marketing Science Institute Young Scholar, and Vaishwik Bhartiya Vaigyanik (VAIBHAV) fellow. He has worked with A. T. Kearney, EY, Johnson & Johnson, Tata Group, and U.S. Census Bureau for research or consulting activities, and he often speaks at industry events for senior leaders.
Nasim Mousavi (“The Impact of Situational Achievement Goals on Online Learning Behavior: Results from Field Experiments”) is an assistant professor at the J. Mack Robinson College of Business of Georgia State University. She received her PhD from 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 academic journals, including Information Systems Research and Production and Operations Management.
Ran Pan (“Better Is Better? Signaling Paradoxes in Performance-Based Advertising”) is a nontenured associate professor in the International Institute of Finance, School of Management, University of Science and Technology of China (USTC). She holds a BA in chemistry from the Beijing Institute of Technology, a master’s in management science and engineering from USTC, and a PhD in management information systems from City University of Hong Kong.
Yang Pan (“Mobile Apps, Trading Behaviors, and Portfolio Performance: Evidence from a Quasi-Experiment in China”) is an assistant professor at the Freeman School of Business, Tulane University. She holds a PhD from the University of Maryland. Her research examines how technology platforms shape people’s behaviors, fintech, and the relationship between entrepreneurial startups and tech giant firms. Her research has been accepted in premier journals such as Management Information Systems Quarterly, Information Systems Research, and Production and Operations Management.
Maoshan Qiang (“Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform”) is a professor in the Institute of Project Management, Tsinghua University. He is also the director of the Project Management Specialized Committee, Society of Management Science of China. His research interests include project resources integration, project cost-benefit analysis, risk management, incentive mechanisms, and project governance.
Liangfei Qiu (“Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform”, “Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation”) is the PricewaterhouseCoopers Professor and University Research Foundation Professor at the Warrington College of Business, University of Florida. His research concentration is the economics of information systems; his research interests include social technology (e.g., social networks, social media, prediction markets), platform technology (e.g., sharing/gig economy, e-commerce platforms, healthcare analytics), telecommunications technology, artificial intelligence, and fintech.
T. S. Raghu (“Impact of the General Data Protection Regulation on the Global Mobile App Market: Digital Trade Implications of Data Protection and Privacy Regulations”, “Platform Governance with Algorithm-Based Content Moderation: An Empirical Study on Reddit”) serves as a professor and the McCord Chair of Business in the Information Systems Department at the W. P. Carey School of Business at Arizona State University. He leads the AZNext digital workforce initiative. His research expertise spans digital platforms, digital health innovations, and the influence of augmented intelligence on workforce dynamics. He earned his PhD in business administration–management information systems from the State University of New York at Buffalo in 1999.
Arun Rai (“Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience”) is Regents’ Professor of the University System of Georgia and holds the Howard S. Starks Distinguished Chair at the Robinson College of Business, Georgia State University. He is the director and co-founder of the Center for Digital Innovation. He served as editor-in-chief for MIS Quarterly and received the LEO Award from the Association for Information Systems for Lifetime Exceptional Contributions to the Information Systems discipline.
Christian Regal (“Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors”) is a postdoctoral research fellow at the chair of digital management at the University of Hohenheim. He completed his doctoral degree in 2021 with a focus on information systems research at the Professorship of Business Engineering at the University of Augsburg. He completed his MSc in finance and information management and has an academic background in computer science, business informatics, and psychology.
Kai Riemer (“Less Artificial, More Intelligent: Understanding Affinity, Trustworthiness, and Preference for Digital Humans”) is professor of information technology and organisation and director of Sydney Executive Plus at the University of Sydney Business School. Kai has extensive experience with industry-funded research and executive upskilling. His expertise spans artificial intelligence, collaborative systems, the future of work, and the philosophy of technology. His research follows non-orthodox approaches and appears in leading information systems journals. He consults for executives and boards and is a sought-after public speaker.
Pankaj Setia (“Opening First-Party App Resources: Empirical Evidence of Free-Riding”) (PhD, Michigan State University, 2008) is the Institute Chair Professor, professor of information systems and strategy areas, and founding chair of the Centre for Digital Transformation at the Indian Institute of Management (IIM), Ahmedabad, India. He has previously taught at Michigan State University and the University of Arkansas. He was also the executive director of the PhD program and an associate professor at the University of Arkansas.
Mike Seymour (“Less Artificial, More Intelligent: Understanding Affinity, Trustworthiness, and Preference for Digital Humans”) is an awarded engaged researcher from the University of Sydney, where he also did his MBA and PhD. He is a cofounder of the Motus Laboratory. He worked for many years in the visual effects area of the entertainment industry, both in research and development and in production, winning an American Film Institute award and being nominated for an Emmy. He has presented at information systems and graphics conferences worldwide and published in multiple top-tier journals.
Zhan (Michael) Shi (“Impact of the General Data Protection Regulation on the Global Mobile App Market: Digital Trade Implications of Data Protection and Privacy Regulations”) is an associate professor of information systems at the W. P. Carey School of Business, Arizona State University. His research intersects the fields of economics and computer science, with a special focus on online platforms and social media as well as economic and societal issues related to crypto, data, and algorithms. His research has been published in top information systems journals, including Information Systems Research and MIS Quarterly.
Zijun Shi (“The Effect of Voice AI on Digital Commerce”) is an assistant professor of marketing at the HKUST Business School.
Franck Soh (“Opening First-Party App Resources: Empirical Evidence of Free-Riding”) is an assistant professor of information systems (IS) at Neeley School of Business, Texas Christian University. He received his PhD in IS from Walton College at the University of Arkansas. His research focuses on mobile platforms, and he has published in the Journal of Management Information Systems, Journal of the Association of Information Systems, Journal of Strategic Information Systems, and Journal of the Academy of Marketing Science.
Chenshuo Sun (“The Effect of Voice AI on Digital Commerce”) is an assistant professor at the National School of Development, Peking University. He earned his PhD from New York University and was previously an assistant professor at the National University of Singapore. His research, published in top journals such as Management Science and Information Systems Research, has earned multiple awards, including the INFORMS ISS Nunamaker-Chen Dissertation Award runner-up and the JP Morgan PhD Fellowship. He is on the editorial review board of Management Science.
Yong Tan (“Does Virtual Reality Help Property Sales? Empirical Evidence from a Real Estate Platform”) is 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 information technology, and big data analytics. He has published in Information Systems Research, Management Science, and Management Information Systems Quarterly.
Abhas Tandon (“Does David Make A Goliath? Impact of Rival’s Expertise Signals on Online User Engagement”) is a staff software engineer at LinkedIn and a co-creator of Wordfighter 2. He holds a BS degree in information technology from Vellore Institute of Technology. Previously, he worked at globally reputed organizations such as PayPal and S&P Capital IQ.
Ayushi Tandon (“Does David Make A Goliath? Impact of Rival’s Expertise Signals on Online User Engagement”) is an assistant professor at Mahindra University, Hyderabad. She holds a PhD degree in information systems from the Indian Institute of Management Ahmedabad. Her research pertains to healthcare information technology (IT), education IT, and user engagement. She is a Pacific Telecommunications Council Young Scholar (2018), part of the Future Digileaders Cohort 2020, and an alumnus of the Women in AI Ethics Collective.
Patricia Tegtmeier (“Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors”) is a researcher at the Federal Institute for Occupational Safety and Health. As a member of the Human Factors and Ergonomics team, her research focuses on human-technology interaction in the work setting. She studied psychology at the University of Münster and received her PhD from the Helmut Schmidt University in Hamburg, Germany.
Carlos I. Torres (“Promoting Security Behaviors in Remote Work Environments: Personal Values Shaping Information Security Policy Compliance”) is an assistant professor in the Information Systems and Business Analytics Department of the Hankamer School of Business at Baylor University. His research interests focus on behavioral aspects of information security and privacy as well as ethical and behavioral considerations related to artificial intelligence. He has publications in information systems journals and conferences, including Hawaii International Conference on System Sciences, Americas Conference on Information Systems, Workshop on Information Security and Privacy, Dewald Roode Workshop and AIS Transactions in Replication Research. Beyond academia, he boasts extensive industry experience in Latin America’s information technology and telecom sectors.
Simon Trang (“Deeper Down the Rabbit Hole: How Technology Conspiracy Beliefs Emerge and Foster a Conspiracy Mindset”) is a professor of information systems, especially sustainability, at the University of Paderborn. He received his PhD in management information systems from the University of Goettingen. His work focuses on information security management, privacy, and sustainable information systems. His research has been published in outlets such as Journal of the Association for Information Systems, European Journal of Information Systems, Journal of Information Technology, and others.
Manuel Trenz (“Deeper Down the Rabbit Hole: How Technology Conspiracy Beliefs Emerge and Foster a Conspiracy Mindset”) is a professor of interorganizational information systems at the University of Goettingen. He holds a PhD from the University of Mannheim. His research explores interactions and decision making in data-rich and smart environments as a means to achieve collective goals through technology. His work has appeared in MIS Quarterly, Journal of Management Information Systems, and European Journal of Information Systems. He currently serves as a senior editor for Information Systems Journal.
Abhinav Tripathi (“Does David Make A Goliath? Impact of Rival’s Expertise Signals on Online User Engagement”) is a senior program manager at Microsoft and co-founder of WordFighter 2. He holds a BS degree in computer science from Dhirubhai Ambani Institute of Information and Communication Technology.
Alexander Tuzhilin (“HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems”) is Leonard N. Stern Professor of Business at New York University. His research interests include personalization, recommender systems, machine learning and artificial intelligence. He produced more than 170 publications. He was general and program chair of the IEEE International Conference on Data Mining and ACM Conference on Recommender Systems and was on editorial boards of several journals, including editor-in-chief of ACM Transactions on Management Information Systems.
Moshe Unger (“HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems”) is an assistant professor at the Coller School of Management, Tel Aviv University and a visiting scholar at Amazon. He earned his PhD in software and information systems engineering from Ben-Gurion University of the Negev, Israel. He specializes in context-aware recommender systems, personalization, data mining, and machine learning. He served as a program chair and chaired context-aware recommender systems (CARS) workshops at the ACM Conference on Recommender Systems.
Nils Urbach (“Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors”) is a full professor of information systems and digital business and head of the Research Laboratory for Digital Innovation & Transformation at the Frankfurt University of Applied Sciences. He is a director at the FIM Research Center for Information Management and the Branch Business & Information Systems Engineering of the Fraunhofer FIT. He studied information systems at the University of Paderborn and holds a doctorate from the European Business School in Oestrich-Winkel, Germany.
Nan Wang (“Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation”) is a professor at Business School, Beijing Technology and Business University. Her research interests include innovation and knowledge management, digital communities, user innovation, social innovation, and ecological innovation. She has published research papers in international journals and conferences, including the Journal of Knowledge Management, The Journal of Technology Transfer, and Technology Analysis and Strategy Management.
Panpan Wang (“The Impact of Geographic and Social Proximity on Physicians: Evidence from the Adoption of an Online Health Community”) is an assistant professor of management information systems at the school of management, Zhejiang University of Finance & Economics. She received her PhD in management science and engineering from Shanghai Jiao Tong University in 2021. Her main research interests are online health communities, artificial intelligence in healthcare, and healthcare operations management. She has published in Journal of Management Analytics, Applied Soft Computing, and other academic journals.
Qili Wang (“Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation”) is a PhD student in the Department of Information Systems and Operations Management at the Warrington College of Business, University of Florida. His current research interests include the economics of information systems, fintech, online communities, and artificial intelligence. He has published research papers in international journals and conferences, including Information Systems Research, Information Sciences, Neurocomputing, and Electronic Commerce Research and Applications.
Wen Wang (“Learning Personalized Privacy Preference from Public Data”) is an assistant professor of information system at the Smith Business School, University of Maryland (UMD), College Park. Before she joined UMD, she obtained her PhD in information systems from the Heinz College of Carnegie Mellon University. Her research interests lie in using innovative and interpretable deep learning and artificial intelligence algorithms to improve business decisions and social welfare.
Welf W. Weiger (“Deeper Down the Rabbit Hole: How Technology Conspiracy Beliefs Emerge and Foster a Conspiracy Mindset”) is an assistant professor and the chair of the Marketing Department at Alfaisal University in Saudi Arabia and earned his PhD from the University of Goettingen, Germany. His research focuses on customer engagement in social media and other digital channels. His work has been published in journals such as Journal of the Academy of Marketing Science, European Journal of Information Systems, Journal of Information Technology, and International Journal of Research in Marketing.
Andrew B. Whinston (“The Effect of Popularity Cues and Peer Endorsements on Assertive Social Media Ads”) is the Hugh Roy Cullen Centennial Chair in Business Administration; a professor of information systems, computer science, and economics; and the director of the Center for Research in Electronic Commerce at the University of Texas at Austin. He is the coauthor or coeditor of 23 books and over 250 articles. He achieved his PhD from the Carnegie Institute of Technology in 1962, when he received its Alexander Henderson Award for Excellence in Economic Theory.
Zhiyan Wu (“The Impact of Geographic and Social Proximity on Physicians: Evidence from the Adoption of an Online Health Community”) is an associate professor of marketing in the school of management at Shanghai University of International Business and Economics. She received her PhD in management from the University of Exeter. Her research has appeared in MIS Quarterly, Information & Management, Marketing Theory, and Journal of Brand Management, and she is the coauthor of From Chinese Brand Culture to Global Brands (Palgrave Macmillan, 2013).
Zhenbin Yan (“Does Virtual Reality Help Property Sales? Empirical Evidence from a Real Estate Platform”) is an assistant professor at the School of Economics and Management, Tongji University. He received his PhD from the University of Science and Technology of China and City University of Hong Kong in 2021. His current research interests focus on economics of information systems, virtual reality, and online platforms. His work has been published in Information Systems Research.
Lingyao (Ivy) Yuan (“Less Artificial, More Intelligent: Understanding Affinity, Trustworthiness, and Preference for Digital Humans”) is an associate professor in information systems and business analytics and the Kingland Graduate Director of Business Analytics at the Debbie & Jerry Ivy College of Business at Iowa State University. She currently serves as the vice president for sponsorship at the Association of Information Systems Special Interest Group-Human Computer Interaction and the president-elect of Midwest Association of Information Systems. She received her PhD from Indiana University in 2015.
Dongcheng Zhang (“Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform”) is an assistant professor of information systems at the CUHK Business School, the Chinese University of Hong Kong. His research primarily focuses on developing and applying machine learning algorithms, statistical methods, and analytical models to improve decision making in digital marketing and management information systems.
Han Zhang (“The Impact of Geographic and Social Proximity on Physicians: Evidence from the Adoption of an Online Health Community”) is a professor of information technology management at the Scheller College of Business, Georgia Institute of Technology. He received his PhD in information systems from the University of Texas at Austin. His research focuses on online trust and reputation, user-generated content, online healthcare, and human-artificial intelligence intelligence interaction. He has published in MIS Quarterly, Information Systems Research, Journal of Marketing Research, Production and Operations Management, and other academic journals.
Kaiyu Zhang (“Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation”) is a PhD student in the Department of Information Systems and Operations Management at the Warrington College of Business, University of Florida. Her current research interests include the economics of information systems, digital platforms, artificial intelligence, and fintech.
Kunpeng Zhang (“Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform”) is an associate professor of information systems in the Department of Decision, Operations & Information Technologies, Robert H. Smith School of Business, at the University of Maryland, College Park. His research focuses on developing machine/deep learning algorithms to analyze unstructured data for better business decisions. Specifically, he is interested in multimodal representation learning and large language models in business.
Leting Zhang (“How to Make My Bug Bounty Cost-Effective? A Game-Theoretical Model”) is an assistant professor of management information systems at the Lerner College of Business and Economics, University of Delaware. She received her PhD in management information systems from Fox School of Business, Temple University. Her research focuses on the impact of information technology on digital risks, healthcare, and labor market. Her research has been published in top-tier academic journals such as Information Systems Research and MIS Quarterly.
Lihong Zhang (“Beyond Risk: A Measure of Distribution Uncertainty”) is a professor of finance at the School of Economics and Management, Tsinghua University. She holds a PhD from the Chinese Academy of Science and MSc and BSc degrees from Nankai University. Her work studies asset pricing, risk theory, risk management, and portfolio management and has appeared in journals such as MIS Quarterly, Information Systems Research, Insurance: Mathematics and Economics, and Mathematical Methods of Operations Research.
Xiaoquan (Michael) Zhang (“Beyond Risk: A Measure of Distribution Uncertainty”) is a chair professor in the Department of Decisions, Operations and Technology at the Chinese University of Hong Kong. He is the founder of Super Quantum Fund, a quantitative hedge fund that develops artificial intelligence algorithms for quantitative investing. He has a PhD from Massachusetts Institute of Technology and several degrees from Tsinghua University. He studies how digital technologies change marketing and finance. His research has appeared in top economics, management, and marketing journals.
Yingjie Zhang (“Omnificence or Differentiation? An Empirical Study of Knowledge Structure and Career Development of IT Workers”) is an associate 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 lies in the three main streams: human–artificial intelligence collaboration, user behavior in social-cyber-physical channels, and financial technology. Her work has been featured in top-tier academic publications, including Information Systems Research, MIS Quarterly, and Marketing Science.
Zhenling Zhao (“Beyond Risk: A Measure of Distribution Uncertainty”) is an associate professor (non-tenured) in the Faculty of Business in Scitech, School of Management, University of Science and Technology of China (USTC). He holds a BA and PhD in physics from the USTC. Additionally, he received a PhD in finance from the City University of Hong Kong. His current research interests include asset pricing, corporate finance, and fintech.
Zhiqiang (Eric) Zheng (“Omnificence or Differentiation? An Empirical Study of Knowledge Structure and Career Development of IT Workers”) is the Ashbel Smith Professor of Information Systems and Finance at University of Texas at Dallas. He received his PhD from the Wharton School. His current research interests center around artificial intelligence methods, fintech, digital asset technology, and blockchain analytics. He authored the textbook Blockchain Technology Fundamentals. He serves and has served as a senior editor for MIS Quarterly and Information Systems Research.
