About Our Authors
Ritu Agarwal (“Unraveling the “Social” in Social Norms: The Conditioning Effect of User Connectivity”) is Distinguished University Professor, a senior associate dean for faculty and research, and Robert H. Smith Dean's Chair of Information Systems at the R. H. Smith School of Business, University of Maryland, College Park. She is a fellow of the Association for Information Systems and a distinguished fellow of the Information Systems Society of INFORMS. Her research focuses on digital transformation in healthcare, health analytics, and artificial intelligence applications in health.
Abayomi Baiyere (“A Dynamic Model of Embeddedness in Digital Infrastructures”) is an assistant professor at Copenhagen Business School and has been a research affiliate at the Massachusetts Institute of Technology Sloan Center for Information Systems Research and a visiting scholar at University of Turku. He worked in the industry before joining academia. He studies digital transformation, digital disruption/innovations, and the societal impact of digitalization. His works have received awards in Academy of Management and Mediterranean Conference on Information Systems conferences and have appeared in Journal of the Association for Information Systems, Technovation, and several conferences.
A. J. Burns (“The Adaptive Roles of Positive and Negative Emotions in Organizational Insiders' Security-Based Precaution Taking”) is an assistant professor of information systems in the Hankamer School of Business at Baylor University. He received his doctorate from Louisiana Tech University. His research focuses on organizational information security and has been published in peer-reviewed journals such as Information Systems Research, Decision Sciences, European Journal of Information Systems, Communications of the ACM, Computers in Human Behavior, and Information Systems Frontiers, among others.
Daegon Cho (“When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases”) is an assistant professor of information systems at the College of Business, Korea Advanced Institutes of Science and Technology. He received a PhD in information systems and management from Carnegie Mellon University's Heinz College. His research topics are business analytics, applications of IT, and economics of information systems.
Angela Aerry Choi (“When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases”) is an assistant professor of information systems in the School of Business, Florida State University. She received her PhD in information systems from Korea Advanced Institutes of Science and Technology. Her current research interests include economics of information systems, digital content monetization and consumption, and targeting promotion. She has presented her works at the International Conference on Information Systems and Conference of Information Systems and Technology.
W. Alec Cram (“Moving IS Project Control Research into the Digital Era: The “Why” of Control and the Concept of Control Purpose”) is an assistant professor in the information and process management department at Bentley University. He received a PhD from Queen's University and previously worked as an IT audit manager at Deloitte. His research focuses on how IS control initiatives can contribute to improving the performance of organizational processes. His work has been published or is forthcoming in outlets including MIS Quarterly, Information Systems Journal, European Journal of Information Systems, Journal of the Association for Information Systems, and Information & Management.
Yifan Dou (“How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model”) is an associate professor of information systems at the School of Management, Fudan University. He received a doctoral degree in management science and engineering and a bachelor's degree in information management and information systems, both from Tsinghua University. His research interests include economics of information systems and business models for information goods and services. His work has appeared in Information Systems Research and European Journal of Operational Research.
Martin Dresner (““Monday Effect” on Performance Variations in Supply Chain Fulfillment: How Information Technology–Enabled Procurement May Help”) is a professor of supply chain management at the University of Maryland's R. H. Smith School of Business. He received his PhD in 1989 from the University of British Columbia. Professionally, he is an associate editor of the Journal of Business Logistics and of Decision Sciences and is a past editor of Transportation Journal.
Juan Feng (“Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence”) is a professor in the Department of Information Systems in the College of Business at the City University of Hong Kong. She holds a BA in economics from Renmin University of China and a PhD in business administration (dual title in operations research) from Pennsylvania State University. She was previously an assistant professor at the University of Florida. She serves as an associate editor for Information Systems Research and a senior editor for E-Commerce Research & Applications.
Daniel Fürstenau (“A Dynamic Model of Embeddedness in Digital Infrastructures”) is an assistant professor at Freie Universität Berlin and Einstein Center Digital Future. He was a visiting scholar at Copenhagen Business School and University of British Columbia, among others, and worked in consulting before joining academia. His main research interests are digital innovations and their embeddedness in larger infrastructures, platforms, and processes. His work has appeared in Electronic Markets, Business & Information Systems Engineering, and other outlets.
Guodong (Gordon) Gao (“Unraveling the “Social” in Social Norms: The Conditioning Effect of User Connectivity”) is an associate professor at the R. H. Smith School of Business, University of Maryland, College Park. He is the director of the Health Insight AI Laboratory and codirector of the Center for Health Information and Decision Systems at the Smith School. His research interests include big data and artificial intelligence in healthcare, health information technology, and quality transparency. He is a recipient of the National Science Foundation CAREER Award.
Anandasivam Gopal (“A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections”) is the Dean's Professor of Information Systems at the Robert H. Smith School of Business, University of Maryland. His research interests are broadly in technology platforms, contracts, and entrepreneurship. He has specific projects in technology-based entrepreneurship, secondary markets for tech products, mobile platforms, and healthcare. He received a PhD in information systems from Carnegie Mellon University in 2001.
Zhiling Guo (“Optimal Management of Virtual Infrastructures Under Flexible Cloud Service Agreements”) is an associate professor of information systems at Singapore Management University. She received her PhD from the University of Texas at Austin. Her recent research focuses on innovative business models for digital payments, resource allocation and management in cloud computing, and data analytics to understand consumer decision making. Her works appear in Management Science, MIS Quarterly, Information Systems Research, and INFORMS Journal on Computing, among others.
Armin Heinzl (“How Pair Programming Influences Team Performance: The Role of Backup Behavior, Shared Mental Models, and Task Novelty”) is a professor in general management and information systems at the University of Mannheim. His research and teaching interests include information systems (IS) governance and outsourcing, IS development, and digital platforms. His research has been published in MIS Quarterly, Information Systems Research, and the Journal of the Association for Information Systems, among others. Further information can be found at https://www.bwl.uni-mannheim.de/en/heinzl/team/prof-dr-armin-heinzl/.
Seung Hyun Kim (“How Do EHRs and a Meaningful Use Initiative Affect Breaches of Patient Information?”) is an associate professor of information systems at the School of Business, Yonsei University. He received his PhD and MS from Carnegie Mellon University and his bachelors degrees from Yonsei University. His primary research interests include economics of information security, mobile commerce, and digital marketing. His work has been published in leading journals, including MIS Quarterly, Information Systems Research, Communications of the ACM, and Decision Support Systems.
Natalia Kliewer (“A Dynamic Model of Embeddedness in Digital Infrastructures”) is a chair of information systems in the School of Business and Economics at Freie Universität Berlin. Her scientific interests include decision support systems for transportation planning and network models and algorithms with applications in airline and public transportation, as well as in revenue management systems. She serves as a department editor for the Decision Analytics and Data Science departments of BISE Journal and as an associate editor for the Public Transport Journal and Transportation Science.
Thomas Kude (“How Pair Programming Influences Team Performance: The Role of Backup Behavior, Shared Mental Models, and Task Novelty”) is an associate professor of information systems at ESSEC Business School, France. He received his PhD from the University of Mannheim, Germany. His current research focuses on digital ecosystems, agile software development, and information technology governance. His work has been published or is forthcoming in Information Systems Research, Information Systems Journal, IEEE Transactions on Engineering Management, the Database for Advances in Information Systems, and other outlets.
Juhee Kwon (“How Do EHRs and a Meaningful Use Initiative Affect Breaches of Patient Information?”) is an assistant professor at the College of Business, City University of Hong Kong. Her research interests include information security, healthcare IT, and IT business values. She earned a PhD from the Krannert School of Management, Purdue University. Her research articles have appeared in journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the American Medical Informatics Association, and IEEE Security & Privacy.
Jin Li (“Optimal Management of Virtual Infrastructures Under Flexible Cloud Service Agreements”) is an associate professor at the School of Management in Xi'an Jiaotong University. He received his PhD in management science from City University of Hong Kong. His recent research interests include resource allocation and management in cloud computing, and consumer behaviors in electronic commerce. He has published papers in INFORMS Journal on Computing, Journal of the Association for Information Systems, Electronic Markets, Electronic Commerce Research, and others.
Jing Li (“When and How to Leverage E-commerce Cart Targeting: The Relative and Moderated Effects of Scarcity and Price Incentives with a Two-Stage Field Experiment and Causal Forest Optimization”) is an assistant professor at the School of Business in Nanjing University. She obtained her PhD from the Department of Management and Marketing at The Hong Kong Polytechnic University. Her research interests include social media, digital marketing, and e-commerce. Her work has been published in proceedings of the International Conference on Information Systems, the Americas Conference on Information Systems, and the Pacific Asia Conference on Information Systems.
Xin Li (“Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence”) is an associate professor in the Department of Information Systems at the City University of Hong Kong. He received his PhD in management from the University of Arizona and BE and ME from Tsinghua University. His research interests include data science, network analysis, social media, and applied econometrics. He is an associate editor of the INFORMS Journal on Computing and ACM Transactions on Management Information Systems and a senior editor of Information Technology and People.
Chen Liang (“The Spillover of Spotlight: Platform Recommendation in the Mobile App Market”) is an assistant professor at the Operations and Information Management Department at University of Connecticut. She holds a PhD in information systems from Arizona State University. Her research interests focus on the gig economy and platform economics. Her work has appeared in Management Science. She has received several academic awards and research grants, such as the WISE Best Paper Award, a National Science Foundation dissertation improvement grant, and three NET Institute grants.
Che-Wei Liu (“Unraveling the “Social” in Social Norms: The Conditioning Effect of User Connectivity”) is an assistant professor of information systems at the Kelley School of Business, Indiana University. He earned his PhD from the University of Maryland. His research interests include business analytics, mobile health, information technology labor market, and business value of information technology. His research has been accepted in the International Conference on Information Systems, Information Systems Research, and Journal of Economic Behavior & Organization.
Paul Benjamin Lowry (“The Adaptive Roles of Positive and Negative Emotions in Organizational Insiders' Security-Based Precaution Taking”) is the Suzanne Parker Thornhill Chair Professor in Business Information Technology at the Pamplin College of Business at Virginia Tech. He received his PhD in management information systems from the University of Arizona. He has published 120+ journal articles in Information System Research, MIS Quarterly, Journal of Management Information Systems, Journal of the Association for Information Systems, Information Systems Journal, European Journal of Information Systems, and others.
Xianghua Lu (“When and How to Leverage E-commerce Cart Targeting: The Relative and Moderated Effects of Scarcity and Price Incentives with a Two-Stage Field Experiment and Causal Forest Optimization”) is professor of information systems at the School of Management, Fudan University, China. She received her PhD from Fudan University. Her research interests include internet marketing, virtual community, e-commerce, and IT management. Her research work has been published in academic journals such as Management Science, Journal of Marketing, Marketing Science, Information Systems Research, Journal of Management Information Systems, and others.
Xueming Luo (“When and How to Leverage E-commerce Cart Targeting: The Relative and Moderated Effects of Scarcity and Price Incentives with a Two-Stage Field Experiment and Causal Forest Optimization”) is the Charles Gilliland Chair Distinguished Professor of Marketing, Strategy, and MIS, and the founder/director of the Global Center for Big Data in Mobile Analytics in the Fox School of Business at Temple University. He is a thought leader in mobile targeting and consumer analytics, AI machine learning, smart devices digital marketing, and marketing-finance interface.
Magnus Mähring (“Moving IS Project Control Research into the Digital Era: The “Why“ of Control and the Concept of Control Purpose”) is the Erling Persson Professor of Entrepreneurship and Digital Innovation at the Stockholm School of Economics and head of the SSE House of Innovation. His research addresses transformation processes involving digital technologies. He has published in journals including MIS Quarterly, Information Systems Research, Journal of the Association for Information Systems (JAIS), Information Systems Journal, and California Management Review. He serves as senior editor for JAIS and is currently appointed to the Swedish government's Expert Committee for Digital Investments.
Shawn Mankad (“A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections”) is an assistant professor of operations, technology, and information management at the Johnson Graduate School of Management, where his research focuses on the intersection between data analytics and economic decision making using machine learning techniques. His studies aim to create and apply data mining, machine learning, and visualization techniques for economic modeling with unstructured and complex structured data.
Jorge Mejia (“A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections”) is an assistant professor of operations and decisions technologies at the Kelley School of Business at Indiana University. He is interested in understanding the antecedents and impacts of social media through the analysis of large amounts of data and field experiments. He received a PhD in information systems from the University Maryland in 2016.
Sunil Mithas (“How Pair Programming Influences Team Performance: The Role of Backup Behavior, Shared Mental Models, and Task Novelty”) is a world-class scholar and professor at the Muma College of Business; the Ralph J. Tyser Professor of Information Systems at the Robert H. Smith School of Business, University of Maryland (on leave); and the author of Digital Intelligence: What Every Smart Manager Must Have for Success in an Information Age. Identified as an MSI Young Scholar by the Marketing Science Institute, he has worked on research or consulting assignments with the government and several organizations.
Jae Yun Moon (“When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases”) was a professor of management information systems in the business school at Korea University. She received a PhD from the Stern School of Business, New York University. Her research interests included participation in online communities and open source software development. Her research works have been published in elite journals, including Information Systems Research and Decision Support Systems.
Barrie R. Nault (“The Strategic Value of Information Technology in Setting Productive Capacity”) is a Distinguished Research Professor at the University of Calgary. His research interests include IT productivity and how IT impacts organization design, supply chain relationships, e-commerce, and public policy. He has published research articles in Information Systems Research, MIS Quarterly, Management Science, Production and Operations Management, and Organization Science. He is a distinguished fellow of the INFORMS Information Systems Society.
Wonseok Oh (“When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases”) is the K.C.B. Chair Professor in the College of Business at the Korea Advanced Institutes of Science and Technology. He received his PhD in information systems from the Stern School of Business at New York University. His research interests include the economics of information systems, AI business strategy, and digital marketing. His research has been published in premier journals, including Information Systems Research, MIS Quarterly, Management Science, and Production and Operations Management.
Clay Posey (“The Adaptive Roles of Positive and Negative Emotions in Organizational Insiders' Security-Based Precaution Taking”) (DBA, Louisiana Tech University) is an associate professor of management in the College of Business (joint appointments: Cybersecurity and Privacy Cluster, Institute for Simulation & Training) at the University of Central Florida. His research is focused on behavioral information security within organizations, and his efforts have been published in various journals including MIS Quarterly, Information Systems Research, and Journal of Management Information Systems, among others.
Zhengling Qi (“How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model”) is an assistant professor at the Department of Decision Sciences, School of Business, George Washington University. He received his bachelor's degree from Fudan University and MS degree from the University of Michigan, Ann Arbor, both in statistics. He obtained his PhD degree in statistics at the University of North Carolina, Chapel Hill. His current research interests include statistical learning for individualized decision making, causal inference, and nonconvex optimization.
T. S. Raghu (“The Spillover of Spotlight: Platform Recommendation in the Mobile App Market”) is department chair and a professor of information systems at the W. P. Carey School of Business at Arizona State University. He has served as or currently serves on the editorial boards for Information Systems Research, Decision Support Systems, the Journal of the Association for Information Systems, and Information Systems Frontiers. His specific research interests include design of online and mobile platforms, augmented intelligence and its applications, and health IT.
Ram Ramesh (“Optimal Management of Virtual Infrastructures Under Flexible Cloud Service Agreements”) is a professor of management science and systems, University at Buffalo. His research focuses on availability analytics and statistical modeling of cloud infrastructures. He serves as co-editor-in-chief of Information Systems Frontiers and an area editor of INFORMS Journal on Computing. His works extensively appear in Information Systems Research, INFORMS Journal on Computing, IEEE Transations on Computers, and IEEE Transactions on Knowledge and Data Engineering. His research has been funded by the National Science Foundation, the U.S. Air Force Office of Scientific Research, the U.S. Air Force Research Laboratory, the U.S. Army Research Institute, Google, Raytheon, Samsung, and Westinghouse.
Ulrich Remus (“Moving IS Project Control Research into the Digital Era: The “Why” of Control and the Concept of Control Purpose”) is a full professor in the Department of Information Systems, Production and Logistics Management at the University of Innsbruck. His research focuses on IS project management, knowledge work, and negative consequences of IS and has appeared in leading journals, such as European Journal of Information Systems, Information Systems Journal, Journal of Information Technology, and MIS Quarterly. He regularly serves as a track chair and associate editor for major IS conferences and is on the editorial board of Information & Management.
Tom L. Roberts (“The Adaptive Roles of Positive and Negative Emotions in Organizational Insiders' Security-Based Precaution Taking”) is the Chandler Professor in the Soules College of Business at the University of Texas at Tyler. He received his MBA and PhD in information systems from Auburn University and BA degree from the University of Oklahoma. His research has been published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, Information Systems Journal, and European Journal of Information Systems, and others.
Carol Saunders (“Moving IS Project Control Research into the Digital Era: The “Why” of Control and the Concept of Control Purpose”) is affiliated with the University of South Florida's Muma College of Business. She received lifetime accomplishment awards from two disciplines: the LEO award in IS and the Lifetime Achievement Award from the Academy of Management's OCIS division. She has published in top-ranked IS, management, computer science, and communication journals; held several prior editorial roles, including MIS Quarterly's editor-in-chief; and currently holds editorial positions at Organization Science and Journal of Strategic Information Systems.
Christoph T. Schmidt (“How Pair Programming Influences Team Performance: The Role of Backup Behavior, Shared Mental Models, and Task Novelty”) is a project leader at the Boston Consulting Group (BCG) in Boston. He holds a PhD from the University of Mannheim, Germany. His work at BCG focuses on Agile@Scale and digital transformations across various industries. His research has been published in the International Conferences of Information Systems, the International Conference on Software Engineering, and other outlets.
Zhan (Michael) Shi (“The Spillover of Spotlight: Platform Recommendation in the Mobile App Market”) is an assistant professor of information systems at the W. P. Carey School of Business, Arizona State University. He obtained his PhD in economics from the University of Texas at Austin and his BA in economics and BS in mathematics from Peking University. His recent research focuses on modeling technology-facilitated search in platform-based markets and using machine learning techniques to better understand market structure.
Xue (Jane) Tan (“Impact of Live Chat on Purchase in Electronic Markets: The Moderating Role of Information Cues”) is an assistant professor in the Department of Operations and Decision Technologies at the Kelley School of Business, Indiana University. She obtained her PhD from Foster School of Business at University of Washington. Her research interests include e-commerce, prosocial behavior in online platforms, social media fundraising, online volunteerism, and network analysis.
Yong Tan (“Impact of Live Chat on Purchase in Electronic Markets: The Moderating Role of Information Cues,” “How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model”) is the Michael G. Foster Endowed Professor of Information Systems at the Michael G. Foster School of Business, University of Washington, and the Chang Jiang Scholar Visiting Chair Professor at the School of Economics and Management, Tsinghua University. His research interests include electronic, mobile, and social commerce; big data; economics of information systems; social and economic networks; and health information technology. He has published in Management Science, Information Systems Research, and Management Information Systems Quarterly, among others. He is a senior editor of Information Systems Research.
Youwei Wang (“Impact of Live Chat on Purchase in Electronic Markets: The Moderating Role of Information Cues”) is a professor in the Department of Information Management and Information Systems, School of Management, Fudan University, China. He obtained his PhD from Northeastern University, China. He is serving as a senior editor of Electronic Commerce Research and Applications. He has published three books and more than 20 papers in academic journals such as MIS Quarterly, Decision Support Systems, and IEEE Transactions on Engineering Management, among others.
Xueqi (David) Wei (“The Strategic Value of Information Technology in Setting Productive Capacity”) is an associate professor in the Department of Information Management and Information Systems at Fudan University. He received his PhD from the Haskayne School of Business at the University of Calgary in 2008. His research interests include information goods, the business value of IT, and e-business and internet platform strategies. He has published articles in prestigious business journals such as Production and Operations Management and Decision Support Systems.
Martin Wiener (“Moving IS Project Control Research into the Digital Era: The “Why” of Control and the Concept of Control Purpose”) is an associate professor in the information and process management department at Bentley University. His research concerns the control of IS projects, technology-mediated control, and data-driven business models and has been published in top-tier IS journals, including European Journal of Information Systems, Information Systems Journal (ISJ), Journal of Information Technology, Journal of Management Information Systems, Journal of Strategic Information Systems, and MIS Quarterly. He serves as associate editor for ISJ as well as on the editorial review board of Journal of the Association for Information Systems and Information & Management.
Yuliang Yao (““Monday Effect” on Performance Variations in Supply Chain Fulfillment: How Information Technology–Enabled Procurement May Help”) is the George N. Beckwith '32 Professor of Information Systems at College of Business, Lehigh University. He received his PhD from Robert H. School of Business of University of Maryland. His research interests are in the interdisciplinary fields of information systems and supply chain management. He is an associate editor at Information Systems Research and a senior editor at Production and Operations Management.
Dobin Yim (“When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases”) is an assistant professor of information systems at the Sellinger School of Business, Loyola University Maryland. His research to date has examined the social impact of information technology in healthcare, media management, and environmental sustainability. He earned his PhD from the University of Maryland and has more than 10 years of industry experience in IT fields, specializing in enterprise systems implementation.
Dawei (David) Zhang (“The Strategic Value of Information Technology in Setting Productive Capacity”) is an assistant professor in the College of Business, Lehigh University. He received his PhD in management information systems from the University of Calgary, Canada, and has a background in both economics and technology. His current research interests include the business value of IT, IT productivity, and healthcare informatics. He has published articles in top business journals such as Information Systems Research and the Journal of Operations Management.
Xiaoquan (Michael) Zhang (“Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence”) is associate dean and a professor at the Business School, Chinese University of Hong Kong. His research examines business artificial intelligence, online advertising, innovation and incentives, financial technologies, and other effects of information technologies on business strategies. He has a PhD in management from the MIT Sloan School of Management. He currently serves as a senior editor at Information Systems Research and an associate editor at Management Science.
Jinyang Zheng (“How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model”) is an assistant professor of management at Krannert School of Management, Purdue University. His research applies microeconometrics, causal inference, and machine learning to quantitatively investigate the transformative impact of information technology in transportation network, online two-sided market, mobile commerce, social media, and user-generated content. He received his PhD in business administration from the University of Washington, Seattle, in 2017.
Kevin Xiaoguo Zhu (““Monday Effect” on Performance Variations in Supply Chain Fulfillment: How Information Technology–Enabled Procurement May Help”) received his PhD from Stanford University and is a professor in the Rady School of Management, University of California, San Diego. His work focuses on technology adoption and impact on supply chains. His work received five Best Paper Awards and has been cited 9,000 times on Google Scholar. He was awarded the CAREER Award by the U.S. National Science Foundation for his research on digital transformation of enterprises. He was honored with the Distinguished Fellow Award by the INFORMS Information Systems Society.
