About Our Authors
Ashish Agarwal (“Follow Your Heart or Listen to Users? The Case of Mobile App Design”) is an associate professor and Fayez Sarofim & Co. Centennial Fellow in the Information, Risk and Operations Management Department at the McCombs School of Business, Univerity of Texas (UT) at Austin. He has a PhD in information systems from Tepper School of Business, Carnegie Mellon University. He serves on the editorial board for Management Science and Service Science. He is the recipient of the INFORMS Sandra Slaughter Early Career Award in 2018.
Sofia Bapna (“An Experimental Evaluation of Gender Differences in Responses to Major-Donor Funding Schemes for Crowdfunded Social Ventures”) is an associate professor and the Lawrence Fellow at the Carlson School of Management, University of Minnesota. She is a recipient of the INFORMS Information Systems Society’s Gordon B. Davis Young Scholar Award, the Association for Information Systems’ Early Career Award, and the Carlson School of Management’s Lawrence Fellowship. Her research is published in leading academic journals and has been funded by the National Science Foundation and the Kauffman Foundation.
Indranil R. Bardhan (“An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay”) is the Charles and Elizabeth Prothro Regents Chair in Healthcare Management in the McCombs School of Business at the University of Texas at Austin. His research focuses on the economic and clinical impact of information technologies, and development of novel analytics solutions to improve health outcomes and value. He holds a PhD in management science and information systems from the McCombs School of Business at the University of Texas at Austin.
Anitesh Barua (“Follow Your Heart or Listen to Users? The Case of Mobile App Design”) is the David Bruton Jr. Centennial Chair professor in the McCombs School of Business, University of Texas at Austin. He is a distinguished fellow of INFORMS. He has served as senior editor at Information Systems Research, associate editor at Information Systems Research, MIS Quarterly, and Management Science and on editorial boards for Journal of Management Information Systems, Journal of Association for Information Systems, and International Journal of Electronic Commerce.
Siddhartha Bhattacharyya (“Customer Engagement Prediction on Social Media: A Graph Neural Network Method”) is a professor of information systems and business analytics in the Department of Information and Decision Sciences at the College of Business Administration, University of Illinois at Chicago. He received PhD from the University of Florida in 1993.
Lukas Florian Bossler (“And No One Gets the Short End of the Stick: A Blockchain-Based Approach to Solving the Two-Sided Opportunism Problem in Interorganizational Information Sharing”) is a PhD student in information systems at the University of Hagen, Germany. His research interests include the influence of technology on organizational and individual-level decision making as well as blockchain technology. He received his master’s degree in management from the University of Mannheim, Germany.
Arne Buchwald (“And No One Gets the Short End of the Stick: A Blockchain-Based Approach to Solving the Two-Sided Opportunism Problem in Interorganizational Information Sharing”) is a research professor of digital innovation management at the University of Applied Sciences Neu-Ulm, Germany. His research mainly addresses the development and use of digital innovations and their impact on the digital transformation of organizations. His work has been published or is forthcoming in the journals Information Systems Research, Journal of Information Technology, and European Journal of Information Systems, among others.
Gordon Burtch (“An Experimental Evaluation of Gender Differences in Responses to Major-Donor Funding Schemes for Crowdfunded Social Ventures”) is the Allen and Kelli Questrom Professor in Information Systems at Boston University. He is a recipient of the Association for Information Systems and INFORMS Information Systems Society Early Career Awards and best paper, best reviewer, and best editor awards from Information Systems Research (ISR) and Management Science. His research has attracted more than $2 million in funding, appeared in numerous leading academic journals, and been covered by prominent media outlets. He is an associate editor for ISR and Management Science.
Hasan Cavusoglu (“Resale Royalty in Non-Fungible Token Marketplaces: Blessing or Burden for Creators and Platforms?”) is a professor of management information systems at the Sauder School of Business, University of British Columbia. He received his PhD from the University of Texas at Dallas in 2003. His research spans information security, privacy, and technology management. His research has appeared in Management Science, MIS Quarterly, Information Systems Research, and Production and Operations Management. He served as an associate editor for MIS Quarterly.
Yasin Ceran (“Two-Sided Impacts of Service Provider’s Identity Disclosure in e-Customer Service Platforms: Evidence from Two Field Experiments”) is an assistant professor at the Lucas College and Graduate School of Business, San Jose State University. He earned his PhD from the University of Texas at Dallas. His research has been published in Management Science and Production and Operations Management among others.
Andrew N. K. Chen (“Push It Cross the Finish Line—Designing Online Interfaces to Induce Choice Closure at the Postdecision Prepurchase Stage”) is currently a professor of analytics, information, and operations at the School of Business of the University of Kansas. He received his BBA in accounting from Soochow University in Taiwan, MS in accountancy from George Washington University, and PhD in operations and information management from the University of Connecticut. His research work appears in MIS Quarterly, Journal of Management Information Systems, Journal of the Association for Information Systems, Decision Support Systems, Information & Management, European Journal of Operational Research.
Guoqing Chen (“Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations”) received his PhD from the Catholic University of Leuven (KU Leuven), Belgium, and currently is a Tsinghua University distinguished professor. He is a recipient of the AIS Fellow Award. His research interests include business intelligence and big data analytics.
Lihong Cheng (“To Partner or Not to Partner? The Partnership Between Platforms and Data Brokers in Two-Sided Markets”) is a postdoctoral fellow at the School of Management, University of Science and Technology of China (USTC). She received her PhD in management science and engineering from USTC. Her research interests focus on smart logistics and supply chain management, platform economy, and data-driven operations. Her work has been published or accepted in the premier journals including Information Systems Research and Production and Operations Management.
Yuan Cheng (“The Impact of Mobile Data Cost on Consumer Price Sensitivity: A Study of a Hotel Booking App”) is a professor and department chair of the Department of Innovation, Entrepreneurship and Strategy at the School of Economics and Management, Tsinghua University. He received his PhD in management from Tsinghua University. His research interests include digital innovation and transformation, digital business model innovations, service management, and entrepreneurship. His research appears in journals like Information Systems Research and Manufacturing & Service Operations Management.
Zhi (Aaron) Cheng (“Skill-Biased Technical Change, Again? Online Gig Platforms and Local Employment”) is an assistant professor of Information systems and innovation in the Department of Management at the London School of Economics. He holds a PhD in business administration from Temple University. He studies the economics of digitization and AI and their implications for business and societal sustainability. Using experimentation, econometrics, and machine learning, his research advances theory and practice in information systems, economics, and management.
Sunghun Chung (“Two-Sided Impacts of Service Provider’s Identity Disclosure in e-Customer Service Platforms: Evidence from Two Field Experiments”) is an assistant professor at the School of Business, George Washington University. He earned his PhD from the Korea Advanced Institute of Science and Technology. His research focuses on artificial intelligence in digital platforms and digital innovation and has been published in Information Systems Research, MIS Quarterly, and Production Operations Management among other leading journals.
Xueying Cui (“Win by Hook or Crook? Self-Injecting Favorable Online Reviews to Fight Adjacent Rivals”) is a doctoral student at the School of Economics and Finance, Xi’an Jiaotong University, China. Her research focuses on online review manipulation and word-of-mouth marketing. Her works have been published in Information Systems Research and Decision Support Systems.
Robert Day (“Walrasian Pricing for Combinatorial Markets with Compact-Bidding Languages: An Application to Truckload Transportation”) is a professor of operations and information management at the University of Connecticut. He has a PhD in applied mathematics and operations research from the University of Maryland. He is a world leader in auction design research, with several billions of dollars in revenue generated for government consulting clients in telecommunications regulation. His work emphasizes the synthesis of cutting-edge ideas from computer science, economics, and operations research.
Haowen Deng (“Player-vs.-Player Game Design and Pricing: A Tournament Design Perspective”) is currently a PhD candidate of information management at the School of Management, Fudan University. His research has been published in the Information Systems Research and Journal of Medical Internet Research. He won the student scholarship at the INFORMS Data Science Workshop in 2022 and a finalist award at the Mathematical Contest in Modeling and the Interdisciplinary Contest in Modeling Competition in 2017.
Jiaying Deng (“Flow of the Game: A Hidden Markov Model of Player Engagement in Online Mobile Games”) is an assistant professor in information technology and operations at Gabelli School of Business, Fordham University. She received her PhD from Michael G. Foster School of Business, University of Washington. Her current research interests include fintech, online games, and sharing economy. She has published in journals such as Information Systems Research and Production and Operations Management.
Johann Dietz (“Identity Work in Interdependent Professional Groups: The Role of a Target Identity in Enterprise Systems Implementation”) completed his PhD at the University of Mannheim and is currently a senior risk specialist at SAP SE. His research mainly focuses on the impact of enterprise systems on the employees and structure of implementing organizations and on the impact of new technologies, like machine learning, on the management of software development projects. Prior research was presented at the International Conference on Information Systems and published in the conference’s proceedings.
Yi Ding (“A Natural Disaster Reshapes Prosocial Microlending”) is an associate professor at Warwick Business School, University of Warwick. She obtained her PhD in information systems and analytics from the National University of Singapore. Her research interests include social impact of emerging technology, artificial intelligence, and fintech. Her work has been published in journals such as Information Systems Research, MIS Quarterly, Journal of International Business Studies, Production and Operations Management, and Research Policy.
Ying Ding (“An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay”) is Bill & Lewis Suit Professor in the School of Information, University of Texas (UT) at Austin. She co-chairs AI in Health Lab at the Generative AI center at UT Austin which aims to build human-centered AI innovations for better health. She has published more than 330 papers, and chaired more than 40 workshops and conferences. Her lab is supported by National Institutes of Health, National Science Foundation, and industry partners.
Yifan Dou (“Player-vs.-Player Game Design and Pricing: A Tournament Design Perspective”) is a professor and the vice department chair of the Department of Information Management and Business Intelligence at the School of Management, Fudan University. He received both a bachelor’s degree and a PhD from Tsinghua University. His research has been published in various top academic journals. He is currently an associate editor at both Information Systems Research and Management Science.
Mohsen Emadikhiav (“Walrasian Pricing for Combinatorial Markets with Compact-Bidding Languages: An Application to Truckload Transportation”) is an assistant professor of information technology and operations management at the College of Business, Florida Atlantic University. He received his PhD in business administration from the Department of Operations and Information Management at the School of Business, University of Connecticut. His research interests include predictive and prescriptive analytics, operations management, and auctions and market design.
Sihan Fang (“Return of the Movie Night? Analyzing the Impact of Netflix Subscriptions on Offline Movie Spending”) is an assistant professor in Antai College of Economics and Management at Shanghai Jiao Tong University. She received her PhD from Nanyang Technological University. Her research interests include platforms and digital innovation. Her research has been accepted in Production and Operations Management.
Yulin Fang (“How Product Display Orientation Affects Customers’ Choice Satisfaction in Online Purchase: A Choice Closure Perspective”, “Untangling the Performance Impact of E-marketplace Sellers’ Deployment of Platform-Based Functions: A Configurational Perspective”) is a professor of innovation and information management and director of the Institute of Digital Economy and Innovation at Hong Kong University Business School. His research interests include digital innovation and entrepreneurship, digital transformation, platform ecosystems, and e-commerce/social media. He has published over 70 research articles in renowned information systems and management journals, including MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Management Information Systems, among others. He has served as an associate editor for MISQ, senior editor for ISR and other journals, and co-editor-in-chief for Information Technology & People.
Anandasivam Gopal (“Return of the Movie Night? Analyzing the Impact of Netflix Subscriptions on Offline Movie Spending”) is the President’s Chair of Information Systems and Innovation at Nanyang Business School, NTU, Singapore. His research interests are broadly in technology platforms, innovation and entrepreneurship, and societal implications of information technology. He has specific projects in technology-based entrepreneurship, secondary markets for tech products, mobile platforms and healthcare. He received his PhD in information systems and economics from Carnegie Mellon University. He serves as a senior editor at Information Systems Research.
Varun Grover (“Fashionable Consumer Technology, IT Fashion, and Consumer Behavior”) is the George & Boyce Billingsley Endowed Chair and distinguished professor of information systems at the University of Arkansas. He has published over 300 journal articles and is a top-ranked IS researcher globally. He serves as senior editor for MISQ Executive Quarterly and the Journal of the Association for Information Systems section on path-breaking research. His work focuses on digitalization impacts. He is an AIS Fellow and LEO recipient for lifetime achievement.
Bin Gu (“Do Reductions in Search Costs for Partial Information on Online Platforms Lead to Better Consumer Decisions? Evidence of Cognitive Miser Behavior from a Natural Experiment”) is Everett W. Lord Distinguished Faculty Scholar, professor, and department chair of information systems at the Questrom School of Business, Boston University. His research interests are in using information technologies and artificial intelligence to address information asymmetry and social inequity in business and society. His work has appeared in leading business academic journals, including Management Science, MIS Quarterly, Information Systems Research, and others.
Feng Guo (“Team Makes You Better: Evidence from Online Medical Consultation Platforms”) is an associate professor at the College of Management and Economics, Tianjin University. His research focuses on digital innovation and entrepreneurship, platform operations, and social media. His work has been published (or accepted for publication) in journals such as Decision Support Systems, Information Systems Research, Journal of Vocational Behavior, and International Journal of Production Economics.
Tianjian Guo (“An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay”) is a PhD candidate in information systems at the McCombs School of Business at the University of Texas at Austin. His research explores the use of health information technology and artificial intelligence-driven predictive and prescriptive analytics solutions to improve patient outcomes and healthcare efficiency. Before joining the PhD program, he earned a BS in computer science and mathematical decision sciences from the University of North Carolina at Chapel Hill.
Xue Guo (“Skill-Biased Technical Change, Again? Online Gig Platforms and Local Employment”) is an Assistant Professor at the J. Mack Robinson College of Business, Georgia State University. She holds a PhD in management information systems from Temple University and a master’s degree in the same field from the University of Maryland, College Park. Her research focuses on digital labor markets, information technology human capital, two-sided online markets, and information privacy. She employs a variety of methodologies, including econometrics, experimentation, machine learning, and text analysis.
Xunhua Guo (“Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations”) is a professor of information systems at the School of Economics and Management, Tsinghua University. He received his PhD from Tsinghua University. His research takes behavioral and design science approaches to topics on electronic commerce, social networks, and business intelligence.
Cheng He (“The Impact of Mobile Data Cost on Consumer Price Sensitivity: A Study of a Hotel Booking App”) is an assistant professor of marketing at the University of Wisconsin–Madison. He obtained his PhD in marketing from the Georgia Institute of Technology. His research employs econometric methodology and machine learning techniques to study topics such as sustainability, social disparities, brick-and-mortar retailing, and fintech.
Hartmut Hoehle (“Identity Work in Interdependent Professional Groups: The Role of a Target Identity in Enterprise Systems Implementation”) is a professor and Chair of Enterprise Systems at the University of Mannheim. He holds a PhD in information systems from Victoria University of Wellington. His research focuses on enterprise systems design, implementation, and use. He has a special interest in electronic service and product distribution since his employment at Deutsche Bank. His work has appeared in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and other journals.
John J. Horton (“The Death of a Technical Skill”) is an associate professor of information technology at the MIT Sloan School of Management. His research focuses on the intersection of labor economics, market design, and information systems. He received a BS in mathematics from the United States Military Academy at West Point and a PhD in public policy from Harvard University.
Kartik Hosanagar (“An Investigation of p-Hacking in E-Commerce A/B Testing”) is the John C. Hower Professor of Technology and Digital Business at the Wharton School of the University of Pennsylvania. The cofounder of four different ventures, he was recognized in 2011 by Poets & Quants as one of the “Top 40 Business Professors Under 40.” His writing has appeared in Wired, Forbes, and the Harvard Business Review, and his past consulting and executive education clients include Google, American Express, Citigroup, and SunTrust Bank.
Yuheng Hu (“Customer Engagement Prediction on Social Media: A Graph Neural Network Method”) is an associate professor of information systems and business analytics in the Department of Information and Decision Sciences at the College of Business Administration, University of Illinois at Chicago. He received his PhD in computer science in 2014 from Arizona State University.
Yu Jeffrey Hu (“The Impact of Mobile Data Cost on Consumer Price Sensitivity: A Study of a Hotel Booking App”) is a professor and Accenture Chair at Purdue University’s Daniels School of Business. His research uses AI, econometric, and analytical models to quantify technology-driven user experience in environments such as e-commerce, omnichannel retailing, social media, mobile app, and fintech. He received a PhD in management science from the Massachusetts Institute of Technology’s Sloan School of Management, an MS in economics from University of Wisconsin–Madison, and a BS in finance from Tsinghua University.
Yanli Jia (“How Product Display Orientation Affects Customers’ Choice Satisfaction in Online Purchase: A Choice Closure Perspective”) is an associate professor of marketing, Xiamen University. She received her PhD from the Chinese University of Hong Kong. Her research interests include online social influence, online retailing, and visual marketing. Her work has appeared in Journal of Marketing, Journal of Consumer Psychology, International Journal of Research in Marketing, Journal of Experimental Psychology: Applied, among others. She is currently an associate editor of Psychology & Marketing (ABS3).
Dan (Claire) Jiang (“Fashionable Consumer Technology, IT Fashion, and Consumer Behavior”) received her PhD from Clemson University. Her research interests include innovative information systems (IS) theorizing, information technology (IT) fashion diffusion, and the societal impact of IT. Her research has been published in MIS Quarterly, Information Systems Research, and several major IS conference proceedings.
Dorothy Lianlian Jiang (“Do Reductions in Search Costs for Partial Information on Online Platforms Lead to Better Consumer Decisions? Evidence of Cognitive Miser Behavior from a Natural Experiment”) is an assistant professor at C. T. Bauer College of Business, University of Houston. Her research interests lie in the areas of digital platform design and strategy, healthcare information technology, human-artificial intelligence interaction, and business analytics. She has published work in MIS Quarterly, Information System Research, and 3D Research. She currently serves on the editorial review board of Information Systems Research.
Jaehwuen Jung (“Two-Sided Impacts of Service Provider’s Identity Disclosure in e-Customer Service Platforms: Evidence from Two Field Experiments”) is an associate professor at Fox School of Business, Temple University. His research focuses on the impact of new technology channels, digital platforms, and technology-enabled features on user behavior and firms’ outcomes, with specific interests in (i) peer influence and social contagion and (ii) online matching platform design. His research has been published in several leading journals, such as Information Systems Research, MIS Quarterly, and Management Science.
Subrahmanyam Aditya Karanam (“Follow Your Heart or Listen to Users? The Case of Mobile App Design”) is an assistant professor in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore. He received his PhD in information systems from the McCombs School of Business, University of Texas at Austin. He also holds a BS in information systems from Birla Institute of Technology and Sciences, Pilani (India) and an MS in economics from the University of Texas at Austin.
Tat Koon Koh (“From Anonymity to Accountability: How Virtual Identity Disclosure Changes the Quantity and Quality of “Likes””) is an associate professor of information systems in the School of Business and Management at Hong Kong University of Science and Technology. He received his PhD from Carnegie Mellon University. His current research focuses on online platforms and crowd-based innovation.
Gang Kou (“Mergers Between On-Demand Service Platforms: The Impact on Consumer Surplus and Labor Welfare”) is vice director of Xiangjiang Laboratory, Distinguished Professor of Chang Jiang Scholars Program in Southwestern University of Finance and Economics. He has published more than 100 papers in various peer-reviewed journals, such as Science and Nature Communications. His h-index is 73, and his papers have been cited by others more than 10,000 times. He is listed as the Highly Cited Researcher by Clarivate Analytics (Web of Science).
Hyeokkoo Eric Kwon (“Return of the Movie Night? Analyzing the Impact of Netflix Subscriptions on Offline Movie Spending”) is an assistant professor at Nanyang Business School. He earned his PhD in management engineering from the Korea Advanced Institute of Science & Technology. His research interests primarily encompass mobile analytics for fintech, digital healthcare, AdTech, and platforms and extend into broader domains such as artificial intelligence and digital innovation. He serves on the editorial review board of Information Systems Research and was awarded the INFORMS Information Systems Society Gordon B. Davis Young Scholar Award.
Chul Ho Lee (“Two-Sided Impacts of Service Provider’s Identity Disclosure in e-Customer Service Platforms: Evidence from Two Field Experiments”) is an associate professor at the School of Business and Technology Management, College of Business, Korea Advanced Institute of Science and Technology. He earned his PhD from the University of Texas at Dallas, where his dissertation focused on the incentive issues of information security management. His research, which spans analytical modeling and empirical studies, has been published in leading journals, such as Information Systems Research and Production and Operations Management.
Ho Cheung Brian Lee (“Lost Time in Crowdsourcing Contests”) is an assistant professor of information systems at the Smeal College of Business, Penn State. He holds a PhD in business administration from the University of Connecticut, specializing in operations and information management. His research focuses on the future of work, including platforms, innovation, and crowdsourcing. He has earned several awards, including the INFORMS Information Systems Society Best Paper Award, UConn School of Business Best Paper Award, and Information Systems Research Best Reviewer Award.
Stephanie Lee (“Flow of the Game: A Hidden Markov Model of Player Engagement in Online Mobile Games”) is an assistant professor of information systems at Foster School of Business, University of Washington. She earned a PhD in economics from Stanford University. Her research examines various economic and social consequences of technological changes, using econometrics, structural models, and machine learning. Her work has been published in journals such as Information Systems Research, Journal of Marketing, Journal of Marketing Research, and Production and Operations Management.
Younghwa Lee (“Push It Cross the Finish Line—Designing Online Interfaces to Induce Choice Closure at the Postdecision Prepurchase Stage”) is a C. Michael Armstrong Business Chair at the Farmer School of Business, Miami University. He received his PhD in information systems from University of Colorado-Boulder. His research interests include human-computer interaction, web usability, and cybersecurity. His work has appeared in MIS Quarterly, Journal of Management Information Systems, European Journal of Information Systems, Decision Support Systems (DSS), and Communications of the ACM, among others. He has been serving as a senior editor for DSS since 2022.
Huifang Li (“Untangling the Performance Impact of E-marketplace Sellers’ Deployment of Platform-Based Functions: A Configurational Perspective”) is an associate professor at the School of Management, University of Science and Technology of China (USTC). She obtained her PhD from USTC. Her research interests include competitive dynamics of digital platforms, AI-generated content in digital platforms, and sustainability of digital entrepreneurship ecosystems. She has published in journals such as MIS Quarterly and Production and Operations Management. She serves as an associate editor for Information Systems Journal.
Xitong Li (“The Impact of Mobile Data Cost on Consumer Price Sensitivity: A Study of a Hotel Booking App”) is a professor of information systems at HEC Paris, France. His research interests are in the economics of information and artificial intelligence technologies, including social media, fintech, digital marketing, online education, and human-AI/algorithms collaboration. His research has been granted by the French National Research Agency AAPG. He received a PhD in management from the Massachusetts Institute of Technology Sloan School and a PhD in engineering from Tsinghua University.
Zhuoxin Li (“Growing Platforms by Adding Complementors Without a Contract”) is an associate professor and the Michael and Mary Sue Shannon Professor at the Wisconsin School of Business, University of Wisconsin–Madison. His research interests focus on digital platforms, digital transformation, and regulation. His research has been published in Management Science, Information Systems Research, Management Information Systems Quarterly, and other journals. He received his PhD from the University of Texas at Austin.
Kai H. Lim (“Untangling the Performance Impact of E-marketplace Sellers’ Deployment of Platform-Based Functions: A Configurational Perspective”) is a Chair Professor at Hong Kong Polytechnic University (PolyU). His research focuses on e-health, digital transformation, information technology–enabled strategy, and human-computer interactions. He has published in top journals like MIS Quarterly (MISQ) and Information Systems Research (ISR). He is a fellow of the Association for Information Systems. He served as a senior editor for MISQ and was on the editorial boards of ISR, MISQ, and Journal of the Association for Information Systems (JAIS).
Xiaogang Lin (“Mergers Between On-Demand Service Platforms: The Impact on Consumer Surplus and Labor Welfare”) is an associate professor in the School of Management at Guangdong University of Technology. He obtained his PhD from South China University of Technology. His research interests include operations management in the sharing economy and supply chain management under asymmetric information.
Tao Lu (“Mergers Between On-Demand Service Platforms: The Impact on Consumer Surplus and Labor Welfare”) is an assistant professor in the Department of Operations and Information Management at the University of Connecticut School of Business. He obtained a PhD from the Hong Kong University of Science and Technology. His research interests include gig economy platforms, supply chain management, and socially responsible and sustainable operations.
Yingda Lu (“Customer Engagement Prediction on Social Media: A Graph Neural Network Method”) is an assistant professor of information systems and business analytics in the Department of Information and Decision Sciences at the College of Business Administration, University of Illinois at Chicago. He received his PhD in management of information systems from Carnegie Mellon University.
Yixin Lu (“Team Makes You Better: Evidence from Online Medical Consultation Platforms”) is an associate professor of information systems at the George Washington University. Her research seeks to understand the broad impact of technological advances on individuals, organizations, and society as a whole. She has published in leading academic journals such as Information Systems Research, Management Science, MIS Quarterly, and Production and Operations Management.
Xiaopeng Luo (“The Impact of Mobile Data Cost on Consumer Price Sensitivity: A Study of a Hotel Booking App”) is an assistant professor at the Business School of the University of International Business and Economics. Her research focuses on studying how information technology features influence consumer behavior across online and off-line channels. She holds a PhD from Beijing University of Posts and Telecommunications and was a visiting student at the Georgia Institute of Technology. She also completed a postdoctoral program at Tsinghua University.
Xin (Robert) Luo (“Win by Hook or Crook? Self-Injecting Favorable Online Reviews to Fight Adjacent Rivals”) is the distinguished professor of management information systems, endowed dean’s professor of research excellence, and special assistant to the dean for research advancement at Anderson School of Management, University of New Mexico. He received his PhD in information systems from Mississippi State University. He has published in Information Systems Research, Journal of Operations Management, Production and Operations Management, and others.
Tengteng Ma (“Customer Engagement Prediction on Social Media: A Graph Neural Network Method”) is an assistant professor in the School of Information Systems and Management at the Muma College of Business, University of South Florida. She received her PhD in management of information systems from the University of Illinois at Chicago in 2023.
Raveesh Mayya (“Growing Platforms by Adding Complementors Without a Contract”) is an assistant professor at New York University Stern with deep interests in digital platform policies and platform governance space. His research focuses on quantifying the impact of private policy changes made by platforms to improve governance and mitigate information asymmetry. His work has been published in Management Science, Information Systems Research, Management Information Systems Quarterly, and other journals. He holds a PhD in information systems from the University of Maryland.
Alex P. Miller (“An Investigation of p-Hacking in E-Commerce A/B Testing”) is an assistant professor of marketing at the University of Southern California’s Marshall School of Business. Prior to his PhD (The Wharton School of the University of Pennsylvania), he worked in digital marketing, served as an analytics consultant, and contributed to a winning National Science Foundation Small Business Innovation Research grant. He has taught students in the subjects of data science, machine learning, and marketing at the undergraduate, MBA, and PhD levels.
Anant Mishra (“Lost Time in Crowdsourcing Contests”) is the Andrew Van de Ven Professor of Supply Chain at the Carlson School of Management, University of Minnesota. His research covers innovation, public sector operations, public health supply chains, and emerging markets. He serves as department editor for innovation and project management at the Journal of Operations Management and as senior editor for Production and Operations Management. He holds a PhD in business administration from the University of Minnesota.
Vijay Mookerjee (“Should Ad Exchanges Subsidize Advertisers to Acquire Targeting Data?”) is the Charles and Nancy Davidson Chair Professor of Information Systems at Naveen Jindal School of Management, The University of Texas at Dallas. He holds a PhD in management from Purdue University. His research interests include digital advertising, cloud computing, fintech, and the economics of information systems. He has published extensively and serves/has served on the editorial boards of Management Science, Information Systems Research, Operations Research, and so on.
Jun Ouyang (“How Product Display Orientation Affects Customers’ Choice Satisfaction in Online Purchase: A Choice Closure Perspective”) is an assistant professor of marketing, Minnan Normal University. She received her PhD from Xiamen University. Her research interests include visual marketing, consumer attention, and tourism marketing. Her work has appeared in Journal of Marketing, Tourism Management, Psychology & Marketing, Cornell Hospitality Quarterly, and others.
Jooyoung Park (“Two-Sided Impacts of Service Provider’s Identity Disclosure in e-Customer Service Platforms: Evidence from Two Field Experiments”) is an associate professor at HSBC Business School, Peking University. She earned her PhD from the University of Iowa in 2014. Her research has been published in leading journals, including Information Systems Research, Psychological Science, and Journal of Consumer Psychology among others. Her work focuses on consumer psychology, consumer interactions with online platforms, and new technologies.
Yongjin Park (“Return of the Movie Night? Analyzing the Impact of Netflix Subscriptions on Offline Movie Spending”) is an assistant professor in the Department of Information Systems at the College of Business, City University of Hong Kong. He received his PhD in management engineering (major: Information Systems) from Korea Advanced Institute of Science and Technology (KAIST). His research has focused on e-business, the economics of information systems, and the societal impact of information technology. His research has been published in premier journals, including Information Systems Research.
Paul A. Pavlou (“Skill-Biased Technical Change, Again? Online Gig Platforms and Local Employment”) is the Dean & Leonard M.Miller Professor of Miami Herbert Business School at University of Miami. He holds a PhD in information systems from the University of Southern California and a dual degree in electrical engineering and management from Rice University. His research focuses on artificial intelligence, data science, and analytics, and digital business strategy across multiple disciplines, including information systems, marketing, strategy, operations and decision sciences.
Jingchuan Pu (“Team Makes You Better: Evidence from Online Medical Consultation Platforms”) is an associate professor of information systems at the University of Florida. His research focuses on social media and e-commerce platforms, artificial intelligence–human collaboration, and fintech. His research has been published in Information Systems Research, MIS Quarterly, Marketing Science, Production and Operations Management, and Journal of Management Information Systems.
Bingjie Qian (“From Anonymity to Accountability: How Virtual Identity Disclosure Changes the Quantity and Quality of “Likes””) is an assistant professor in the Advanced Institute of Business at the School of Economics and Management, Tongji University. She received her PhD in information systems from the Hong Kong University of Science and Technology. Her current research focuses on artificial intelligence and online communities.
Liangfei Qiu (“Win by Hook or Crook? Self-Injecting Favorable Online Reviews to Fight Adjacent Rivals”) is the PricewaterhouseCoopers Professor and University Research Foundation Professor at Warrington College of Business, University of Florida. His current research focuses on social technology (social networks, social media, and prediction markets), platform technology (sharing/gig economy, e-commerce platforms, and healthcare analytics), and telecommunications technology.
Yansong Shi (“Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations”) received his PhD from Tsinghua University and currently is an assistant professor at the School of Management, Fudan University. His research interests include machine learning, casual inference, and business analytics.
Kai Spohrer (“Identity Work in Interdependent Professional Groups: The Role of a Target Identity in Enterprise Systems Implementation”, “And No One Gets the Short End of the Stick: A Blockchain-Based Approach to Solving the Two-Sided Opportunism Problem in Interorganizational Information Sharing”) is an associate professor of information systems at the Frankfurt School of Finance & Management. He holds a PhD from the University of Mannheim. His research explains and improves information systems development and use in teams and multiteam systems. His work has appeared in leading information systems and software engineering journals, including Information Systems Research, MIS Quarterly, IEEE Transactions on Software Engineering, and Journal of Management Information Systems.
Heshan Sun (“Fashionable Consumer Technology, IT Fashion, and Consumer Behavior”) is a professor of management information systems and Richard Van Horn Professor in information technology and analytics at the University of Oklahoma. He received his PhD from Syracuse University. He is a senior editor for MIS Quarterly, Journal of the Association for Information Systems, and AIS Transactions on Human-Computer Interaction. His research focuses on the interaction of information systems with individuals, organizations, and society and has been published in prestigious information systems journals.
Prasanna Tambe (“The Death of a Technical Skill”) is an associate professor at the Wharton School at the University of Pennsylvania. His research examines labor markets for technical talent, AI’s impact on work, and algorithmic human resources practices. He holds degrees from the Massachusetts Institute of Technology (SB, MEng in electrical engineering and computer science) and the Wharton School at the University of Pennsylvania (PhD in managerial science).
Bernard C. Y. Tan (“A Natural Disaster Reshapes Prosocial Microlending”) is Senior Vice Provost at the National University of Singapore (NUS), where he chairs the university curriculum committee. He is Shaw Professor in the Department of Information Systems and Analytics. He is a recipient of university awards for research and teaching at NUS. He was the 15th President of the Association for Information Systems (AIS). He is a recipient of the AIS LEO Award, the AIS Fellow Award, and the AIS Sandy Slaughter Service Award.
Yong Tan (“To Partner or Not to Partner? The Partnership Between Platforms and Data Brokers in Two-Sided Markets”, “Flow of the Game: A Hidden Markov Model of Player Engagement in Online Mobile Games”) is the Michael G. Foster Endowed Professor of Information Systems at Michael G. Foster School of Business, University of Washington, and a distinguished fellow of the INFORMS Information Systems Society. He received his PhD in information systems from the University of Washington. His research interests include online social networks, mobile and electronic commerce, digital content distribution channels, sharing economy, fintech, and big data analytics, and information security. His research has appeared in Operations Research, Management Science, Information Systems Research, MIS Quarterly, Production and Operations Management, Management Information Systems Quarterly, among others.
Shaojie Tang (“Should Ad Exchanges Subsidize Advertisers to Acquire Targeting Data?”) is a professor in the Department of Management Science and Systems at the University at Buffalo. He also serves as the director of the Center for AI Business Innovation. His research interests include responsible artificial intelligence, machine learning, and combinatorial optimization.
Murat M. Tunc (“Resale Royalty in Non-Fungible Token Marketplaces: Blessing or Burden for Creators and Platforms?”) is an assistant professor with tenure in the department of information systems and operations management at Tilburg University’s Tilburg School of Economics and Management. He received his PhD in information systems from the University of Texas at Dallas in 2020. His research focuses on fintech, open source software, and artificial intelligence. His work has been published in leading journals, including Information Systems Research and MIS Quarterly.
Viswanath Venkatesh (“Leveraging Context: Re-Thinking Research Processes to Make “Contributions to Theory”) is an eminent scholar and Verizon chair at the Pamplin College of Business, Virginia Tech. His research focuses on understanding the diffusion of technologies in organizations and society. His work has appeared in leading journals in human-computer interaction, information systems, organizational behavior, psychology, marketing, medical informatics, and operations management and included best paper awards (e.g., Academy of Management Journal).
Cong Wang (“Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations”) is an assistant professor at Guanghua School of Management, Peking University. She received her PhD from Tsinghua University. Her research interests include recommender systems, business intelligence, and digital privacy.
Le Wang (“Win by Hook or Crook? Self-Injecting Favorable Online Reviews to Fight Adjacent Rivals”) is the dean for the electronic commerce department and an associate professor at the School of Economics and Finance, Xi’an Jiaotong University, China. His research focuses on review manipulation, fake review filtering, and platform economy. His works have been published in Information Systems Research, Information Systems Journal, Decision Support Systems, and other outlets.
Weiquan Wang (“Push It Cross the Finish Line—Designing Online Interfaces to Induce Choice Closure at the Postdecision Prepurchase Stage”) is a professor at the Business School of Chinese University of Hong Kong. He received his PhD in management information systems from the University of British Columbia. His research interests include recommendation agents, human-algorithm interaction, and open innovation management. His work appears in Information Systems Research (ISR), MIS Quarterly, Journal of Management Information Systems, and Management Science, among others. He served as an associate editor of MIS Quarterly (2012–2015). He is serving on the editorial boards of ISR, Journal of the Association for Information Systems, and AIS Transactions on Human-Computer Interaction.
Xin Wang (“Mergers Between On-Demand Service Platforms: The Impact on Consumer Surplus and Labor Welfare”) is a professor in the School of Business Administration at the Southwestern University of Finance and Economics. He obtained his PhD from Tepper School of Business, Carnegie Mellon University. His research interests include innovative business models, technology innovation, and global supply chain management.
Youwei Wang (“Untangling the Performance Impact of E-marketplace Sellers’ Deployment of Platform-Based Functions: A Configurational Perspective”) is a professor at School of Management, Fudan University, China. He obtained his PhD from Northeastern University, China. His research focuses on E-commerce, platform economy, platform management, artificial intelligence and its business applications. He has published three books and over 30 papers in top journals like MIS Quarterly, Information Systems Research, Marketing Science, and Production and Operations Management. He is a senior editor of Electronic Commerce Research and Applications.
Zenan Wu (“Player-vs.-Player Game Design and Pricing: A Tournament Design Perspective”) is an associate professor at Peking University. As an applied game theorist, his research has been published in journals such as Theoretical Economics, Journal of Economic Theory, RAND Journal of Economics, American Economic Journal: Microeconomics, Journal of Public Economics, Games and Economic Behavior, and Journal of Environmental Economics and Management. He received a bachelor’s degree in economics from Tsinghua University and a PhD in economics from the University of Pennsylvania.
Feng Xu (“Win by Hook or Crook? Self-Injecting Favorable Online Reviews to Fight Adjacent Rivals”) is an assistant professor of information systems management at the University of Michigan-Dearborn College of Business. He received his PhD in business information systems from Mississippi State University and PhD in management science and engineering from Xi’an Jiaotong University. He has published research papers in Information Systems Research, Information Systems Journal, Decision Support Systems, and others.
Haifeng Xu (“A Natural Disaster Reshapes Prosocial Microlending”) is an associate professor at Antai College of Economics and Management, Shanghai Jiao Tong University. He obtained his PhD in information systems and analytics from the National University of Singapore. His research interests include digital platform and social impact of emerging technology. He has published papers in journals including Information Systems Research, MIS Quarterly, Journal of International Business Studies, Production and Operations Management, and Research Policy.
Shun Ye (“Do Reductions in Search Costs for Partial Information on Online Platforms Lead to Better Consumer Decisions? Evidence of Cognitive Miser Behavior from a Natural Experiment”) is an associate professor in information systems at the Costello College of Business, George Mason University. His research interest centers on digital platforms and innovations, with a focus on the economic and social implications of platform policies, designs, and emerging technologies. His research has appeared in MIS Quarterly, Information Systems Research, and Manufacturing & Service Operations Management. He currently serves as an associate editor for Decision Support Systems.
Yugang Yu (“To Partner or Not to Partner? The Partnership Between Platforms and Data Brokers in Two-Sided Markets”) is a chair professor of management science and engineering at the School of Management, University of Science and Technology of China (USTC). Before joining USTC, he was a faculty at Rotterdam School of Management, Erasmus University. His research focuses on data-driven supply chain management, smart logistics, and digital platforms. His research has appeared in Information Systems Research, Manufacturing & Service Operations Management, and Marketing Science.
Jicheng Zeng (“Untangling the Performance Impact of E-marketplace Sellers’ Deployment of Platform-Based Functions: A Configurational Perspective”) is an assistant professor at School of Business, Hong Kong Baptist University. He obtained his PhD from City University of Hong Kong. His research focuses on competitive dynamics of e-marketplace sellers, digital platform governance, and online grocery. His research work has been published in the proceedings of International Conference on Information Systems (ICIS) and Pacific Asia Conference on Information Systems (PACIS). He received the Best Paper Award Nomination of PACIS in 2022.
Xinhui Zhan (“Fashionable Consumer Technology, IT Fashion, and Consumer Behavior”) is a PhD student from the University of Oklahoma’s Price College of Business. Her research interests are in the areas of user behavior, artificial intelligence, and societal impact of information technology using laboratory experiments, computational theory construction, as well as machine learning. Her research has been published in Information Systems Research and several major information systems conference proceedings.
Cheng Zhang (“Player-vs.-Player Game Design and Pricing: A Tournament Design Perspective”) is a professor and the chair of the Department of Information Management and Business Intelligence at the School of Management, Fudan University. His research has been published in many journals, including Information Systems Research, MIS Quarterly, Marketing Science, Journal on Computing, Production and Operations Management, Journal of Marketing, Decision Support Systems, and Journal of Management Information Systems. He is an associate editor at Information & Management.
Shichang Zhang (“An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay”) is a postdoctoral fellow at Harvard University. His research on explainable AI and graph learning has been published in top AI conferences. He earned his PhD in computer science from UCLA in 2024, supported by the J.P. Morgan Chase AI Fellowship and the Amazon Fellowship. He obtained an MS in statistics from Stanford University and a BA in statistics from University of California, Berkeley.
Xiaofei Zhang (“Team Makes You Better: Evidence from Online Medical Consultation Platforms”) is a professor of information systems at the School of Management, Harbin Institute of Technology. His research focuses on artificial intelligence, eHealth, and platform operations. His work has been published (or accepted for publication) in journals such as MIS Quarterly, Information Systems Research, European Journal of Information Systems, Information & Management, Information Systems Journal, and International Journal of Production Economics.
Xiaoquan (Michael) Zhang (“From Anonymity to Accountability: How Virtual Identity Disclosure Changes the Quantity and Quality of “Likes””) is the Wei Lun Endowed Chair Professor of Business AI in the CUHK Business School, the Chinese University of Hong Kong. He received his PhD from the Massachusetts Institute of Technology Sloan School of Management. His current research focuses on AI and the financial market.
Xin Zhang (“To Partner or Not to Partner? The Partnership Between Platforms and Data Brokers in Two-Sided Markets”) is an assistant professor at School of Management, University of Science and Technology of China (USTC). He holds dual PhD degrees in information systems from the City University of Hong Kong and in management science and engineering from USTC. His research interests include the economics of information systems, platform business models, and data pricing. His work has been published or accepted in leading journals such as Information Systems Research and MIS Quarterly.
Liang Zhao (“Do Reductions in Search Costs for Partial Information on Online Platforms Lead to Better Consumer Decisions? Evidence of Cognitive Miser Behavior from a Natural Experiment”) is an assistant professor of information systems at the Department of Management, Marketing, and Information Systems at Hong Kong Baptist University. He holds a PhD in management information systems from Rensselaer Polytechnic Institute. His primary research pertains to digital strategies with artificial intelligence, consumer behavior in information technology–mediated markets, and the role of digitization intervened with managerial cognition in shaping firm behaviors.
Zhiqiang (Eric) Zheng (“Resale Royalty in Non-Fungible Token Marketplaces: Blessing or Burden for Creators and Platforms?”) is an Ashbel Smith Professor in Information Systems and finance at the University of Texas at Dallas. He received his PhD from the Wharton School, University of Pennsylvania in 2003. He has published in top journals, including MIS Quarterly, Management Science, Information Systems Research, and Production and Operations Management. He serves as a senior editor at MIS Quarterly and previously served as a senior editor at Information Systems Research.
Wangsheng Zhu (“Should Ad Exchanges Subsidize Advertisers to Acquire Targeting Data?”) is an assistant professor in the Department of Information Systems, Business Statistics, and Operations Management at the Hong Kong University of Science and Technology. He holds a PhD in information systems from The University of Texas at Dallas. His research interests include digital advertising, recommendation systems, the economics of information systems, and data-driven decision making.
