About Our Authors
Gediminas Adomavicius (“Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations”) is a professor of information and decision sciences at the University of Minnesota and holds the Larson Endowed Chair for Excellence in Business Education. He studies recommender systems, machine learning, and electronic market mechanisms. He received the National Science Foundation CAREER Award for research on recommender systems. He has served as senior editor for Information Systems Research and MIS Quarterly and is a distinguished fellow of the INFORMS Information Systems Society.
Rohit Aggarwal (“The Effect of Gender Expectations and Physical Attractiveness on Discussion of Weakness in Online Professional Recommendations”, “Effect of Online Professional Network Recommendations on the Likelihood of an Interview: A Field Study”) is an associate professor of information systems. He is interested in active learning, focusing on how to integrate human expertise in machine learning algorithms. His research focuses on how social media affect businesses, especially new ventures, and studying how recommendations on professional networks affect people’s propensity to get job interviews. He has published in premium business journals such as Management Science, Information Systems Research, and MIS Quarterly.
Sezgin Ayabakan (“Impact of Telehealth and Process Virtualization on Healthcare Utilization”) is an assistant professor of management information systems at Temple University. He obtained his PhD in management science from the University of Texas at Dallas. His broader research interests focus on the impact of health information technology initiatives on the cost and quality of healthcare services. His papers are published in leading academic journals such as MIS Quarterly, Information Systems Research, and Journal of the American Medical Informatics Association.
Indranil R. Bardhan (“Impact of Telehealth and Process Virtualization on Healthcare Utilization”) is the Foster Parker Centennial Professor in the McCombs School of Business and the UT Health Dell Medical School at the University of Texas at Austin. He is a distinguished fellow of the INFORMS Information Systems Society and he has served as senior editor at Information Systems Research, MIS Quarterly, and Production and Operations Management.
Kevin Bauer (“Mirror, Mirror on the Wall: Algorithmic Assessments, Transparency, and Self-Fulfilling Prophecies”) is an assistant professor for E-Business and E-Government at the University of Mannheim. Before joining the University of Mannheim in January 2023, he was a post-doctoral researcher at the Leibniz Institute SAFE. His research concentrates on explainable artificial intelligence, algorithmic transparency, and human information processing. His work has been published in journals such as Information Systems Research and Business & Information Systems Engineering.
Xuan Bi (“Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations”) is an assistant professor of information and decision sciences at the Carlson School of Management, University of Minnesota. His research revolves around personalization and data privacy. He holds a BS in mathematics from Tsinghua University and a PhD in statistics from the University of Illinois at Urbana-Champaign and was a postdoctoral associate at Yale University. He serves as associate editor for the Journal of the American Statistical Association.
Zhigang Cai (“Better to Give Than to Receive: Impact of Adding a Donation Scheme to Reward-Based Crowdfunding Campaigns”) received his PhD from Shanghai Jiao Tong University. His research interests lie in the domain of digital economy and fintech. He is working in the finance industry.
Yidong Chai (“Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach”) received his PhD at Tsinghua University, China. He is a professor in the School of Management, Hefei University of Technology and the Key Laboratory of Process Optimization and Intelligence Decision Making, the Ministry of Education, Hefei, China. His research interests include cybersecurity, business intelligence, and health informatics. His work has been published in MIS Quarterly, Journal of Management Information Systems, among others.
Jason Chan (“Shedding Light on the Dark: The Impact of Legal Enforcement on Darknet Transactions”, “Better to Give Than to Receive: Impact of Adding a Donation Scheme to Reward-Based Crowdfunding Campaigns”) is an associate professor and Lawrence Fellow at the Carlson School of Management, University of Minnesota. His research, which examines the intended and unintended social and business impacts of emerging technologies, has received multiple best paper awards in top information systems conferences and journals. He is the winner of the Nunamaker-Chen Dissertation Award and the Sandy Slaughter Early Career Award. He was named as a Top 40 Professors Under 40 by Poets & Quants.
Hsinchun Chen (“Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach”) is Regents Professor and Thomas R. Brown Chair in Management and Technology at the Eller College of Management, University of Arizona. He received his PhD in information systems from New York University. He is author or editor of 20 books, 300 journal papers, and 200 refereed conference articles covering digital library, data/text/web mining, business analytics, security informatics, and health informatics. He is a fellow of the Association for Computer Machinery, the Institute of Electrical and Electronics Engineers, the American Association for the Advancement of Science, and the Association for Information Systems.
Yuchi Chiao (“Interorganizational Systems and Supply Chain Agility in Uncertain Environments: The Mediation Role of Supply Chain Collaboration”) received a DBA from College of Business, City University of Hong Kong. His research and professional expertise include supply chain collaboration and information systems. His work has been published in the Proceedings of the International Conference on Information Systems.
Alan R. Dennis (“The Influence of Media Capabilities on Knowledge Contribution in Online Communities”) is a professor of information systems and holds the John T. Chambers Chair of Internet Systems in the Kelley School of Business, Indiana University. He is a fellow of the Association for Information Systems and received the LEO Award in 2021. He is a past president of the Association for Information Systems and served as vice president for conferences. He has published more than 100 journal articles and four books.
John Qi Dong (“Business Value of Information Technology Capabilities: An Institutional Governance Perspective”) is a tenured associate professor at Nanyang Business School, Nanyang Technological University. His research has been published or is forthcoming in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, Strategic Management Journal, and Journal of Management. He serves as an associate editor for MIS Quarterly and Journal of the Association for Information Systems. He won the the Association for Information Systems Early Career Award in 2020, and MIS Quarterly named him “Outstanding Associate Editor” for 2021.
Xiaowen Dong (“Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions”) is an associate professor in the Department of Engineering Science at the University of Oxford, where he is an academic member of both the Machine Learning Research Group and the Oxford-Man Institute. He received his PhD degree from the Swiss Federal Institute of Technology. His main research interests concern signal processing and machine learning techniques for analyzing network data and their applications in studying questions across social and economic sciences.
Ugochukwu Etudo (“Ontology-Based Information Extraction for Labeling Radical Online Content Using Distant Supervision”) is an assistant professor of information systems at Virginia Commonwealth University (VCU) School of Business. His research interests are diverse and include various applications and extensions of natural language processing, with a particular focus on information extraction and knowledge representation. His work has appeared in various outlets such as Decision Support Systems and the Journal of the Association of Information Systems. He received his PhD in information systems from VCU in 2017.
Yulin Fang (“Interorganizational Systems and Supply Chain Agility in Uncertain Environments: The Mediation Role of Supply Chain Collaboration”) is professor of innovation and information management and director of digital economy and innovation at Hong Kong University Business School, University of Hong Kong. He received a PhD in information systems from Ivey Business School, Canada. His research focuses on digital innovation and transformation and digital platform. He is a senior editor for Information Systems Research, Journal of Information Technology, and the co-editor-in-chief for Information Technology and People.
Natasha Zhang Foutz (“Personalized Privacy Preservation in Consumer Mobile Trajectories”) is associate professor of Commerce at McIntire School of Commerce, University of Virginia. She holds a PhD in marketing from Cornell University. She studies entertainment marketing and mobile marketing using big data and machine learning. Her research is published in leading marketing and information systems journals, and she has won various awards. She is also a recipient of the University of Virginia All-University Teaching Award.
Jia Gao (“Improving Convenience or Saving Face? An Empirical Analysis of the Use of Facial Recognition Payment Technology in Retail”) received his PhD in operations management from Shanghai Jiao Tong University in 2022. He is currently an assistant professor at the Institute of Supply Chain Analytics, Dongbei University Finance and Economics.
Anindya Ghose (“Personalized Privacy Preservation in Consumer Mobile Trajectories”) is the Heinz Riehl Chair Professor of Business at New York University Stern School. He is the author of TAP: Unlocking the Mobile Economy and a recipient of the INFORMS Information Systems Society (ISS) Distinguished Fellow Award. In 2014, he was named by Poets & Quants as one of the “Top 40 Professors Under 40.” In 2017, he was recognized by Thinkers50 as one of the “Top Management Thinkers.” In 2019, he was recognized by Web of Science in the top 1% of researchers. His research has received 27 best paper awards and nominations. He has consulted to many firms globally on realizing business value from digital investments. He received the inaugural INFORMS ISS Practical Impact award in 2020 and the Association for Information Systems Fellow Award in 2022. He is currently serving as a department editor for Management Science.
Andrej Gill (“Mirror, Mirror on the Wall: Algorithmic Assessments, Transparency, and Self-Fulfilling Prophecies”) is a professor of corporate finance at Johannes Gutenberg University Mainz. Before joining Gutenberg-University Mainz in October 2016, he was an assistant professor at Goethe University Frankfurt, where he also received his PhD (2013). His research concentrates on issues in corporate finance and household finance. His work was published in leading academic journals such as Management Science and Journal of Corporate Finance.
Shu He (“Shedding Light on the Dark: The Impact of Legal Enforcement on Darknet Transactions”) is an assistant professor in the Department of Information Systems and Operations Management at Warrington College of Business, University of Florida. She received her PhD from the University of Texas at Austin. Her research focuses on the impact of emerging technologies on firms and society using various statistical tools. Her research has been published in leading business journals, such as Information Systems Research, MIS Quarterly, and Production and Operations Management.
Leila Hosseini (“When Is More Merrier? A Cloud-Based Architecture to Procure Impressions from Multiple Ad Exchanges”) is an assistant professor in management information systems in the Fox School of Business at Temple University. Her research interests focus on the economics of and operational issues in cloud computing, artificial intelligence, and digital advertising.
Tzu-Ling Huang (“The Influence of Media Capabilities on Knowledge Contribution in Online Communities”) is an assistant professor at the Department of Information Management at the National Central University in Taiwan. She obtained her PhD from Chang Gung University, Taiwan. She has published papers in Decision Support Systems, Information & Management, International Journal of Electronic Commerce, International Journal of Information Management, Internet Research, and Electronic Commerce Research and Applications.
Zihong Huang (“Better to Give Than to Receive: Impact of Adding a Donation Scheme to Reward-Based Crowdfunding Campaigns”) is an assistant professor at Rawls College of Business, Texas Tech University. His research examines the dark and bright sides of information technology and artificial intelligence (AI) innovations including social media manipulation, AI-empowered venture capital, crowdfunding, and online auctions.
Yan Leng (“Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions”) is an assistant professor at The University of Texas at Austin’s McCombs School of Business. She earned her PhD from the Media Lab at the Massachusetts Institute of Technology. Her research is supported by prestigious institutions such as the National Science Foundation and Russell Sage Foundation. Her primary research focuses on developing machine learning and computational techniques to analyze individual and organizational behaviors in networks.
Carmen Leong (“Coordination in a Digital Platform Organization”) is an associate professor of information systems at the University of New South Wales Business School. She received her PhD degree from The National University of Singapore. She is enthusiastic about discovering how technologies can empower communities and enable strategic transformation in organizations. Her work has been published in MIS Quarterly, the Journal of Association Information Systems, and the European Journal of Information Systems.
Beibei Li (“Personalized Privacy Preservation in Consumer Mobile Trajectories”) is the Anna Loomis McCandless Chair and professor of information technology and management at Carnegie Mellon University. She received her PhD with distinction from New York University Stern School of Business. She has extensive experience at leveraging large-scale observational data analytics and experimental analysis with a strong focus on modeling individual user behavior across online, offline and mobile channels for decision support. She is recent recipient of over $3M research grants and is the winner of 10 faculty research awards. She has won the INFORMS ISS Sandy Slaughter Early Career Award in 2019. She is also the winner of the INFORMS ISS Nunamaker-Chen Dissertation Award and the Association for Computer Machinery SIGMIS Best Doctoral Dissertation Award.
Gen-Yih Liao (“The Influence of Media Capabilities on Knowledge Contribution in Online Communities”) is an associate professor and department chair of the Department of Information Management at the Chang Gung University in Taiwan. He has published papers in Decision Support Systems, Information & Management, International Journal of Electronic Commerce, International Journal of Information Management, Internet Research, Journal of Medical Internet Research, and JMIR mHealth and uHealth.
Silvia Lin (“Coordination in a Digital Platform Organization”) received her bachelor of information systems with honors at the University of New South Wales in 2018. She is currently working in the industry as a manager in PwC’s Cloud and Digital team. She has received the university medal for her honors thesis with her work on value co-creation featured in Pacific Asia Conference on Information Systems 2018.
De Liu (“Better to Give Than to Receive: Impact of Adding a Donation Scheme to Reward-Based Crowdfunding Campaigns”) is the Xian Dong Eric Jing Professor of Information and Decision Sciences at the University of Minnesota. He received his PhD from the University of Texas at Austin. His research interests include artificial intelligence/augmented intelligence, gamification, online auctions and mechanisms, user-generated content, and crowdfunding. His research has appeared in leading journals such as MIS Quarterly, Management Science, Information Systems Research, Journal of Marketing, and Production and Operations Management.
Hongyan Liu (“Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach”) received his PhD at Tsinghua University, China. She is a professor at the Department of Management Science and Engineering of the School of Economics and Management, Tsinghua University. She focuses on business intelligence, data mining, text-mining, health analytics, data warehouse, online analytical processing, information systems, and database. Her work has been published in such journals as Information Systems Research, MIS Quarterly, among others.
Meghanath Macha (“Personalized Privacy Preservation in Consumer Mobile Trajectories”) is a machine learning engineer currently working at Adobe’s Experience Cloud, where he develops various services related to logo recognition, scene text extraction, and generative text models. Prior to joining Adobe, he earned his PhD from Carnegie Mellon University in 2021, where he developed models to study consumer behavior and trade-offs in data sharing using location data. He also worked at Adobe Research for two years, where he developed methods for marketing attribution and click-stream purchase prediction, and spent a summer at Amazon developing active learning methods for record linkage.
Vishal Midha (“The Effect of Gender Expectations and Physical Attractiveness on Discussion of Weakness in Online Professional Recommendations”, “Effect of Online Professional Network Recommendations on the Likelihood of an Interview: A Field Study”) is a professor of business information systems at Illinois State University. His current research interests include online professional networks, privacy and security concerns, and individual and organizational level adoption. His publications have appeared in Information Systems Research, Decision Support Systems, Journal of Strategic Information Systems, and others.
Vijay Mookerjee (“When Is More Merrier? A Cloud-Based Architecture to Procure Impressions from Multiple Ad Exchanges”, “Task Characteristics and Incentives in Collaborative Problem Solving: Evidence from Three Field Experiments”) is the Charles and Nancy Davidson chair in information systems in the Naveen Jindal School of Management of The University of Texas at Dallas. His current research interests include the optimal design of e-commerce servers, web server capacity planning, software development, and expert systems. He holds a PhD in management from Purdue University. He has published extensively and serves/has served on the editorial board of Management Science, Information Systems Research, INFORMS Journal on Computing, Operations Research, Production and Operations Management, Decision Support Systems, and Information Technology and Management.
Esteban Moro (“Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions”) is an associate professor in the Department of Mathematics at Universidad Carlos III de Madrid (UC3M) and a researcher in the Sociotechnical Systems Research Center at MIT. He holds a PhD in physics and is an affiliate faculty member at the Joint Institute UC3M-Santander on Big Data at UC3M and the Joint Institute of Mathematical Sciences, Spain. He has received numerous awards and his work has appeared in major journals and media outlets.
Balaji Padmanabhan (“Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19”) is professor of information systems at the University of South Florida’s Muma College of Business. He holds a PhD from New York University’s Stern School of Business. He has served on the editorial board of leading journals, including Information Systems Research, MIS Quarterly, Management Science, INFORMS Journal on Computing, Big Data, ACM Transactions on Management Information Systems, and the Journal of Business Analytics.
Alex Pentland (“Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions”) is a renowned computer scientist and the Toshiba Chair in Media Arts and Sciences at the Massachusetts Institute of Technology (MIT). He directs the MIT Connection Science and Human Dynamics labs and has published over 750 articles in computer science, economics, and physics journals. Pentland received his PhD from MIT in 1982 and is a founding member of advisory boards for United Nations, Google, AT&T, and Nissan Research.
Jessica Pye (“Business Value of Information Technology Capabilities: An Institutional Governance Perspective”) is an assistant professor in the Department of Information Systems at the W.P. Carey School of Business, Arizona State University. Her work examines the business value of information technology in large institutional settings undergoing regulatory change. Her work appears in MIS Quarterly and Journal of Medical Internet Research.
Dandan Qiao (“Shedding Light on the Dark: The Impact of Legal Enforcement on Darknet Transactions”) is an assistant professor in the Department of Information Systems and Analytics at the National University of Singapore. Her research interests mainly focus on the economics of information platforms and predictive analytics. Her work has been published in journals including Information Systems Research, MIS Quarterly, and Journal of Management Information Systems.
Arun Rai (“Business Value of Information Technology Capabilities: An Institutional Governance Perspective”) is regents’ professor at the University System of Georgia and holds the Howard S. Starks Distinguished Chair at 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 from 2016 to 2020 and received the LEO Award from the Association for Information Systems for Lifetime Exceptional Contributions to the Information Systems discipline.
Ying Rong (“Improving Convenience or Saving Face? An Empirical Analysis of the Use of Facial Recognition Payment Technology in Retail”) is a professor of management science at Shanghai Jiao Tong University. He received his PhD in industrial engineering from Lehigh University. His research interests include service operations, retail operations, operations in emerging business models, and data-driven optimization. His papers have been published in Management Science, Operations Research, Manufacturing and Service Operations Management, and Production and Operations Management.
Hani Safadi (“Atrophy in Aging Systems: Evidence, Dynamics, and Antidote”) is associate professor at Terry College of Business, University of Georgia. He is interested in online communities, social media, health information technology, information systems development, and the application of computational techniques in management research. His research is published in outlets such as MIS Quarterly where he serves as associate editor, Information Systems Research, Organization Science, and Journal of Medical Internet Research.
Sagar Samtani (“Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach”) is an assistant professor and Grant Thornton Scholar in the Department of Operations and Decision Technologies in the Kelley School of Business at Indiana University. He has published more than 60 articles in premier information systems venues such as MIS Quarterly and Information Systems Research, and cybersecurity outlets such as ACM Transactions on Privacy and Security. He has attained more than $4 million of funding from the National Science Foundation.
Jayarajan Samuel (“Task Characteristics and Incentives in Collaborative Problem Solving: Evidence from Three Field Experiments”) is an assistant professor of information systems at the College of Business, University of Texas at Arlington. He received his doctoral degree from the Jindal School of Management, University of Texas at Dallas. His current research interests include ecommerce, information technology security, data-driven business decision making, and business analytics. His research has appeared in MIS Quarterly, Information Systems Research, and Production and Operations Management.
Pallab Sanyal (“An Examination of the Dynamics of Crowdsourcing Contests: Role of Feedback Type”) is a professor of information systems at the School of Business at George Mason University. He received his PhD in information and decision sciences from the University of Minnesota. His primary research interest lies in understanding how the decisions people make in complex information systems are influenced by their designs. His research has been published in Management Science, MIS Quarterly, and Information Systems Research, among other outlets.
Nicholas Sullivan (“The Effect of Gender Expectations and Physical Attractiveness on Discussion of Weakness in Online Professional Recommendations”, “Effect of Online Professional Network Recommendations on the Likelihood of an Interview: A Field Study”) is an assistant professor of information systems at the University of Dayton. His research interests include electronic word-of-mouth and user-generated content, as well as deep learning and natural language processing. He has papers forthcoming at MIS Quarterly and Communications of the Association for Information Systems.
Felix Tan (“Coordination in a Digital Platform Organization”) is an associate professor of information systems and the Associate Dean International at the University of New South Wales Business School. His research interests include digital transformation, tech for change, platforms, and enterprise systems. His work has been published in academic and practitioner journals such as Information Systems Journal and MIS Quarterly Executive. He serves on the editorial boards of two Senior Scholars’ Basket of Premier Journals.
Shaojie Tang (“When Is More Merrier? A Cloud-Based Architecture to Procure Impressions from Multiple Ad Exchanges”) is an associate professor in information systems in the Naveen Jindal School of Management at The University of Texas at Dallas. His research interests include social media advertising, optimization, and game theory.
Ching-I Teng (“The Influence of Media Capabilities on Knowledge Contribution in Online Communities”) is a professor at Chang Gung University, Taiwan. He has been a visiting scholar to Academia Sinica, Taiwan; University of Washington, Seattle; and The Hong Kong Polytechnic University. He has published papers in Decision Support Systems, Information & Management, and Journal of Service Research, among others. He has been in the World’s Top 2% Scientists List. He was awarded distinguished researcher by Chang Gung University twice.
Xin Tian (“Improving Convenience or Saving Face? An Empirical Analysis of the Use of Facial Recognition Payment Technology in Retail”) received his PhD in management science from the University of the Chinese Academy of Sciences in 2010. He is a professor in the School of Economics and Management, University of the Chinese Academy of Sciences, and Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences. His research has appeared in Management Science, Journal of the Association for Information Systems, and Information Science.
Amrit Tiwana (“Atrophy in Aging Systems: Evidence, Dynamics, and Antidote”) is the Rast Professor at the University of Georgia. He served as a senior editor at MIS Quarterly and Information Systems Research and serves on the boards of Strategic Management Journal and Journal of Management Information Systems. His work has appeared in various management information system, strategy, software engineering, finance, and marketing journals.
Yingfei Wang (“Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19”) is an assistant professor of information systems at the Foster School of Business, University of Washington. Her research lies at the intersection of data analytics, statistics, machine learning, and management information systems, exploring the ways in which efficient information collection influences and improves decision-making strategies, using technologies from deep learning, multi-armed bandits, reinforcement learning, Bayesian optimization, natural language processing, and beyond.
Andrew Whinston (“Shedding Light on the Dark: The Impact of Legal Enforcement on Darknet Transactions”) is the Hugh Cullen Chair Professor in the information, risk, and operation management department at the University of Texas at Austin and Harkins & Company Centennial Distinguished University Chair. He is the director of the Center for Research in Electronic Commerce. His recent work has appeared in Information Systems Research, MIS Quarterly, and Management Science. He has published more than 300 papers in the major economic and management journals and has coauthored 27 books.
Ting Xu (“Interorganizational Systems and Supply Chain Agility in Uncertain Environments: The Mediation Role of Supply Chain Collaboration”) is an assistant professor in the Department of Information Systems and Management Engineering at Southern University of Science and Technology. She earned a PhD from City University of Hong Kong and Xi’an Jiaotong University. Her research interests include the business value of information systems, information technology–enabled supply chain management. Her works have been published in Industrial Marketing Management, and the Proceedings of Academic Conferences.
Inbal Yahav (“Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19”) is an assistant professor at Tel Aviv University Coller School of Management. Her research centers on incorporating behavioral elements into data science, machine learning, and natural language processing algorithms. She has numerous published papers and has presented her work at conferences. She holds a PhD in operations research and data mining. She is also an associate editor of the INFORMS Journal on Data Science and Decision Support Systems.
Mochen Yang (“Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations”) is an assistant professor in the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota. His research focuses on designing computational artifacts to facilitate decision making in complex market mechanisms and understanding algorithmic decision making. His research has been published in Information Systems Research, MIS Quarterly, and several leading academic conferences.
Yuliang Yao (“Improving Convenience or Saving Face? An Empirical Analysis of the Use of Facial Recognition Payment Technology in Retail”) received his PhD from the University of Maryland. He holds the George N. Beckwith ‘32 Professorship at the College of Business, Lehigh University. His publications have appeared or are forthcoming in Management Science, Information Systems Research, MIS Quarterly, Marketing Science, Operations Research, Journal of Operations Management, and Production and Operations Management.
Shun Ye (“An Examination of the Dynamics of Crowdsourcing Contests: Role of Feedback Type”) is an associate professor in information systems at the School of Business, George Mason University. His research has appeared in leading business journals such as MIS Quarterly and Manufacturing & Service Operations Management. He earned his PhD in information systems from the University of Maryland, College Park; MS in management science, BS in information systems, and BE in computer science and technology from the University of Science and Technology, China.
Victoria Y. Yoon (“Ontology-Based Information Extraction for Labeling Radical Online Content Using Distant Supervision”) is a professor in the Department of Information Systems at Virginia Commonwealth University. She earned her MS from the University of Pittsburgh and PhD from the University of Texas at Arlington. Her research interests are the application of artificial intelligence to solve complex problems and its managerial issues. She has published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, Decision Support Systems, and others. She serves as co-EIC of Decision Support Systems and as president for the Workshop on Information Technology and Systems.
Jie Yu (“Coordination in a Digital Platform Organization”) is an associate professor of information systems at the University of Nottingham Business School China. His research interests include social media, E-commerce, and business analytics. His papers have been published in the Journal of Management Information Systems, the Journal of the Associations for Information Systems, and the International Journal of Production Economics. He also works closely with industries such as Alibaba/Taobao, Duckbill Logistic Technology and cross-border e-commerce companies.
Shuo Yu (“Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach”) is an assistant professor at Rawls College of Business, Texas Tech University. He received his PhD in management information systems from the University of Arizona. His research focuses on interpretable deep learning, mobile and health analytics, and data and text mining. His work has been published in MIS Quarterly, Journal of Management Information Systems, IEEE Journal of Biomedical and Health Informatics, and IEEE Intelligent Systems, among others.
Zhiqiang (Eric) Zheng (“Impact of Telehealth and Process Virtualization on Healthcare Utilization”, “Task Characteristics and Incentives in Collaborative Problem Solving: Evidence from Three Field Experiments”) is the Ashbel Smith Professor in Information Systems at the Jindal School of Management, University of Texas at Dallas. He received his PhD from the Wharton School of Business. His current research interests focus on fintech, blockchain, and healthcare analytics. He served as a senior editor for Information Systems Research.
Jingmei Zhou (“Interorganizational Systems and Supply Chain Agility in Uncertain Environments: The Mediation Role of Supply Chain Collaboration”) is an assistant professor in the Department of Management Science and Engineering at Renmin University of China. She earned a PhD from City University of Hong Kong and University of Science and Technology of China. Her research interests include enterprise information system use in a dynamic context and open platform innovation. Her works have been published in MIS Quarterly, Information and Management, and the Proceedings of Academic Conferences.
