About Our Authors
Gediminas Adomavicius (“A Machine Learning Approach to Improving Dynamic Decision Making”) is a professor of information and decision sciences at the Carlson School of Management, University of Minnesota. His research has been published in leading information systems and computer science journals, including Information Systems Research, MIS Quarterly, Management Science, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, INFORMS Journal on Computing, and Data Mining and Knowledge Discovery. He received the NSF CAREER Award for his research on personalization technologies.
Ching-man Au Yeung (“Popularity Effect in User-Generated Content: Evidence from Online Product Reviews”) is a researcher at the Noah's Ark Lab, Huawei. He received his Ph.D. in computer science from the University of Southampton, and his M.Phil. in computer science from the Chinese University of Hong Kong. Prior to his current position, he was a research associate at the NTT Laboratories in Japan, and a senior engineer at the Hong Kong Science and Technology Research Institute.
Izak Benbasat (“The Influences of Online Service Technologies and Task Complexity on Efficiency and Personalization”) is a Fellow of the Royal Society of Canada and Canada Research Chair in information technology management at the Sauder School of Business, University of British Columbia. He received his Ph.D. from the University of Minnesota and his Doctorat Honoris Causa from the Université de Montréal. He currently serves on the editorial boards of Journal of Management Information Systems and Information Systems Journal. He was editor-in-chief of Information Systems Research, editor of the Information Systems and Decision Support Systems Department of Management Science, and a senior editor of MIS Quarterly. He became a Fellow of the AIS in 2002, received the LEO Award for Lifetime Exceptional Achievements in Information Systems from AIS in 2007, and was conferred the title of Distinguished Fellow by the INFORMS Information Systems Society in 2009.
Palash Bera (“How Semantics and Pragmatics Interact in Understanding Conceptual Models”) is an assistant professor of operations and information technology management at John Cook School of Business, Saint Louis University. His research includes empirical studies in information systems analysis, and design and use of eye tracking technologies as a research methodology. He has a Ph.D. and a Master's degree in management information systems from the University of British Columbia. He has published in journals such as MIS Quarterly and the Journal of Database Management.
Andrew Burton-Jones (“How Semantics and Pragmatics Interact in Understanding Conceptual Models”) is a professor of business information systems at UQ Business School, University of Queensland, and an adjunct professor at the Sauder School of Business, University of British Columbia. He conducts research on the analysis, design, and use of information systems and on research methodology. He received his Masters of Information Systems from the University of Queensland, and his Ph.D. from Georgia State University. Prior to his academic career, he was a senior consultant in a Big-4 accounting/consulting firm.
Ronald T. Cenfetelli (“The Influences of Online Service Technologies and Task Complexity on Efficiency and Personalization”) is an associate professor and Chair of Management Information Systems at the University of British Columbia's Sauder School of Business. His research interests include human computer interaction, e-business, the negative aspects of technology usage, and research methods. His research has appeared in MIS Quarterly, Information Systems Research, and the Journal of AIS. He currently serves as an associate editor at MIS Quarterly, where he recently received the outstanding associate editor award. He has previous careers with Pfizer, Inc. and the U.S. Navy.
Benedict G. C. Dellaert (“Consumer Informedness and Firm Information Strategy”) is a professor of marketing, Erasmus School of Economics, Erasmus University Rotterdam. He holds a Ph.D. from Eindhoven University of Technology. His research interests are in consumer decision making and (online) customer-firm interaction. Published work has appeared in journals in marketing and information sciences. He is a research fellow at the Erasmus Research Institute of Management, Tinbergen and Netspar research institutes.
Vasant Dhar (“Prediction in Economic Networks”) is a professor and director of the Center for Business Analytics at the Stern School of Business at New York University. He has been creating and evaluating adaptive predictive systems in finance, marketing, and operations with the primary objective of achieving robust future performance. He popularized machine learning in finance and created the adaptive quantitative trading program, an adaptive system that trades the world's most liquid futures contracts systematically.
Michael Dinger (“Influence Techniques in Phishing Attacks: An Examination of Vulnerability and Resistance”) is an assistant professor of management at the University of South Carolina Upstate. He received his Ph.D. from Clemson University. His research interests include information technology workforce management and absorptive capacity. His work has appeared in MIS Quarterly and IEEE Transactions on Engineering Management.
Mohamed Elidrisi (“A Machine Learning Approach to Improving Dynamic Decision Making”) is a Ph.D. candidate in computer science and engineering at the University of Minnesota with a research focus on artificial intelligence and machine learning. His research revolves around leveraging data in information systems to aid in decision making processes spanning areas from healthcare to game theory.
Anar Gasimov (“Using Personal Communication Technologies for Commercial Communications: A Cross-Country Investigation of Email and SMS”) is a founder and CEO of Jinbox Sàrl, an ETH Zürich spin-off company. His company focuses on developing solutions for intelligent information routing within organizations via dynamic knowledge management framework to minimize the question propagation time and maximize the propagation path. Previously he was a Ph.D. student in ETH Zürich and a research assistant in a management information systems research group.
Tomer Geva (“Prediction in Economic Networks”) is an assistant professor at Tel Aviv University's Recanati School of Business. Previously, he was a visiting scholar at the Stern School of Business, New York University, and a post-doctoral research scientist at Google. His research focuses on understanding the utility and informativeness of large scale online data.
Paulo B. Goes (“Popularity Effect in User-Generated Content: Evidence from Online Product Reviews”) is the Nancy and Peter Salter Distinguished Professor of Management and Technology and the head of the management information systems department at the Eller College, University of Arizona. His research interests include the design and evaluation of IT-enabled business models, business intelligence and analytics, innovation exploration, e-commerce, and online auctions. His research has appeared in journals such as Management Science, MIS Quarterly, and Information Systems Research. He is the editor-in-chief of MIS Quarterly and previously served as senior editor of Information Systems Research and Decision Sciences Journal. In addition, he is or has been associate editor of Management Science, Information Systems Research, Journal of Management Information Systems, Production and Operations Management, and the INFORMS Journal on Computing.
Yili (Kevin) Hong (“Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents”) is an assistant professor at the W. P. Carey School of Business, Arizona State University. His research focuses on economic and behavioral issues in online labor markets, product uncertainty, and social media. His works appeared or are forthcoming in journals such as MIS Quarterly and Information Systems Research, and conferences such as the Workshop on Information Systems and Economics, Conference on Information Systems and Technology, and the International Conference on Information Systems.
Matthew L. Jensen (“Influence Techniques in Phishing Attacks: An Examination of Vulnerability and Resistance”) is an assistant professor of management information systems and co-director of the Center for Applied Social Research at the University of Oklahoma. He received his Ph.D. from the University of Arizona, and his research focuses on computer-aided decision making and credibility assessment. His work has been published in Information Systems Research, the Journal of Management Information Systems, and Group Decision and Negotiation.
Monica Johar (“Selling vs. Profiling: Optimizing the Offer Set in Web-Based Personalization”) is an associate professor of management information systems at the University of North Carolina at Charlotte. She received her Ph.D. in management science with a concentration in management information systems from the University of Texas at Dallas. Her research interests include software development, social networks, and knowledge management. She is a member of AIS and INFORMS. Her research has been published in information systems journals such as Information Systems Research and the Journal of Management Information Systems.
Paul E. Johnson (“A Machine Learning Approach to Improving Dynamic Decision Making”) is the Curtis L. Carlson Chair in Decision Sciences and professor of information and decision sciences at the Carlson School of Management, University of Minnesota. His research has been published in Health Care Management Science, Organizational Behavior, Human Decision Processes, International Journal of Man-Machine Studies, Artificial Intelligence in Medicine, The Academy of Management Review, and Cognitive Science. His work in health care is supported by grants from NIH and AHRQ.
Robert J. Kauffman (“Consumer Informedness and Firm Information Strategy”) is associate dean (research), deputy director (Living Analytics Research Centre), and professor at the School of Information Systems, Singapore Management University. He conducted his research under the Lee Kuan Yew Faculty Fellowship for Research Excellence. He holds an M.S. and Ph.D. from Carnegie Mellon University's Tepper School of Business, and an M.A. from Cornell University. His research interests focus on technology, strategy, financial services, and the Internet.
Nishtha Langer (“Project Managers' Practical Intelligence and Project Performance in Software Offshore Outsourcing: A Field Study”) is an assistant professor of information systems at the Indian School of Business, Hyderabad. Her research examines mechanics and economic aspects of human capital as well as business value of information technology. Her research has been published in journals such as Management Science, Information Systems Research, and MIS Quarterly. She holds an M.S. and a Ph.D. from the Tepper School of Business, Carnegie Mellon University.
Ting Li (“Consumer Informedness and Firm Information Strategy”) is an assistant professor of information systems at the Rotterdam School of Management, Erasmus University. She obtained her Ph.D. in management science from Erasmus University and M.Sc. in computational science from the University of Amsterdam. Her research interests include strategic and economic impacts of information technology, Internet commerce and social media, and consumer decision-making in the online and mobile channels. Her work has been published in Information Systems Research, Decision Support Systems, International Journal of Electronic Commerce, and the European Journal of Information Systems.
Mingfeng Lin (“Popularity Effect in User-Generated Content: Evidence from Online Product Reviews”) is an assistant professor in the department of management information systems, Eller College of Management, University of Arizona. He received his Ph.D. from the Robert H. Smith School of Business at the University of Maryland, College Park. He is interested in empirical research of e-commerce, especially crowd-funding, online labor markets, and social media. His research is published or forthcoming in Management Science and Information Systems Research.
Kent Marett (“Influence Techniques in Phishing Attacks: An Examination of Vulnerability and Resistance”) is an associate professor of information systems at Mississippi State University. He received his Ph.D. from Florida State University, and his research often focuses on deceptive communication and e-collaboration. His work has been published in MIS Quarterly, the Journal of Management Information Systems, and the Journal of the Association for Information Systems.
Georg Meyer (“A Machine Learning Approach to Improving Dynamic Decision Making”) is a strategy consultant and researches decision strategies in healthcare to understand and improve their performance. His research has been presented at annual meetings of the American Diabetes Association and INFORMS as well as at Workshops on Information Technology and Systems. He earned a Ph.D. from the University of Minnesota in the information and decision sciences department at the Carlson School of Management.
Vijay Mookerjee (“Selling vs. Profiling: Optimizing the Offer Set in Web-Based Personalization”) is a Charles and Nancy Davidson Professor of Information Systems and Operations Management in the Naveen Jindal School of Management at the University of Texas at Dallas. He holds a Ph.D. in management from Purdue University. His research interests include social networks, software development, storage management, content delivery systems, and the design of expert systems. He has published in several information systems, computer science, and operations research journals. He serves, or has served on, the editorial board of Management Science, Information Systems Research, and Operations Research.
Tridas Mukhopadhyay (“Project Managers' Practical Intelligence and Project Performance in Software Offshore Outsourcing: A Field Study”) is Deloitte Consulting Professor of e-Business at Tepper School of Business and Carnegie Mellon University in Qatar. His research interests include strategic use of information technology, business value of information technology, economics of cyber security, and software development productivity. His recent papers examine enterprise blogging, Internet referral services, email advertising, and offshore software projects.
Patrick J. O'Connor (“A Machine Learning Approach to Improving Dynamic Decision Making”), MD, MA, MPH is a Senior Clinical Investigator at HealthPartners Institute for Education and Research in Minneapolis. He has served on many NIH, CMS, CDC, and other study sections and advisory committees. He has led many large federally funded research projects, and authored over 200 peer reviewed publications on chronic disease care and improvement in adults and children.
Gal Oestreicher-Singer (“Prediction in Economic Networks”) is an assistant professor at Tel Aviv University's Recanati School of Business and the head of the information technology group. Her research studies the effects of visible networks on electronic markets. Her prior research has won the ACM SIGMIS Best Dissertation Award, an EU Marie Curie Early Career Award, an INFORMS CIST Best Paper Award, an ICIS Best Paper award, a MSI-WIMI User Generated Content Research Competition Award, and the Google-WPP Marketing Award. She received her Ph.D. from New York University.
Paul A. Pavlou (“Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents”) is the Milton F. Stauffer Professor of Information Technology and Strategy at the Fox School of Business at Temple University, the Chief Research Officer, and Associate Dean of Research, Doctoral Programs, and Strategic Initiatives. He received his Ph.D. from the University of Southern California. Paul was ranked first in the world in publications in the two top MIS journals (MIS Quaterly and Information Systems Research) for 2010–2012, his work has been cited over 12,000 times by Google Scholar, and over 3,000 times by the Social Science Citation Index of the Institute of Scientific Information. His research appeared in Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Journal of the Association of Information Systems, Journal of Marketing, the Journal of the Academy of Marketing Science, and Decision Sciences. He has won several Best Paper awards for his research, including the ISR Best Paper award in 2007 as well as several reviewer awards, including the 2009 Management Science Meritorious service award, the “Best Reviewer” award of the 2005 Academy of Management Conference, and the 2003 MISQ ‘Reviewer of the Year’ award. Paul is a senior editor at MIS Quarterly.
Chee Wei Phang (“Using Personal Communication Technologies for Commercial Communications: A Cross-Country Investigation of Email and SMS”) is an associate professor at the department of information management and information systems, Fudan University. His work has appeared or is forthcoming in MIS Quarterly, Management Science, the Journal of the Association for Information Systems, IEEE Transactions on Engineering Management, Information & Management, European Journal of Information Systems, and Long Range Planning. His current research interests include social media, virtual communities, and mobile commerce.
William A. Rush (“A Machine Learning Approach to Improving Dynamic Decision Making”), a health services researcher in HealthPartners Institute for Education and Research, focuses his research within the realms of chronic disease and dental health. He has had his research published in the Journal of Public Health Dentistry, the Journal of the American Dental Association, Annals of Family Medicine, Diabetes Care, Clinical Medical Research, and Diabetes. He has also served as a reviewer of applications for the National Institute of Dental and Craniofacial Research.
Sumit Sarkar (“Selling vs. Profiling: Optimizing the Offer Set in Web-Based Personalization”) holds a Charles and Nancy Davidson Chair in Information Systems in the Naveen Jindal School of Management at the University of Texas at Dallas. He received his Ph.D. from the Simon School of Business at the University of Rochester and his PGDM from IIM Calcutta. His research interests include business intelligence, personalization technologies, sponsored search, data privacy, information quality, heterogeneous databases, web services, and software release strategies.
David G. Schwartz (“The Disciplines of Information: Lessons from the History of the Discipline of Medicine”) is a vice-chairman and professor of information systems at the Graduate School of Business Administration of Bar-Ilan University, Israel. His research has appeared in publications such as IEEE Intelligent Systems, Information Systems, International Journal of Human-Computer Studies, Review of Marketing Science, and the Journal of Organizational Behavior. His books include Cooperating Heterogeneous Systems, Internet-Based Knowledge Management and Organizational Memory, and the Encyclopedia of Knowledge Management. He served as editor of the journal Internet Research. He earned his Ph.D. in computer science from Case Western Reserve University and his MBA from McMaster University.
Sandra A. Slaughter (“Project Managers' Practical Intelligence and Project Performance in Software Offshore Outsourcing: A Field Study”) is the Alton M. Costley Chair and professor of information technology management at Georgia Institute of Technology. She received her Ph.D. from the University of Minnesota. She has published over 100 articles in research journals, conference proceedings, and edited books, and has received eight best paper awards. Her research has received support from the NSF, DoD, and the Sloan Foundation. She is a departmental editor for Management Science, and was senior or associate editor for other information systems journals.
JoAnn M. Sperl-Hillen (“A Machine Learning Approach to Improving Dynamic Decision Making”) is an internist, senior investigator, and director of the Center for Chronic Care Innovation at HealthPartners Institute for Research and Education. She conducts clinical trials related to diabetes and cardiovascular disease, and has published on virtual case-based simulation models for provider education and clinical decision support. She is a member of the Minnesota Diabetes ICSI Guideline, associate editor for Diabetes Spectrum, and co-author for BMJ Epocrates resource for type 2 diabetes.
Arun Sundararajan (“Prediction in Economic Networks”) is a professor of information, operations, and management services and NEC Faculty Fellow at New York University's Stern School of Business. He also heads the Social Cities Initiative at New York University's Center for Urban Science and Progress, and is an affiliated faculty member at the school's Center for Data Science. He has published widely in leading academic journals, and his op-eds and expert commentary appear frequently in the popular press. He is one of the founders of the Workshop on Information in Networks.
Juliana Sutanto (“Using Personal Communication Technologies for Commercial Communications: A Cross-Country Investigation of Email and SMS”) is an assistant professor, and Chair of Management Information Systems at ETH Zürich. Her articles have appeared in information systems conferences and journals such as MIS Quarterly, the Journal of Management Information Systems, IEEE Transactions on Engineering Management, Information & Management, and Long Range Planning. Her current research interest includes the design and evaluation of information systems, such as mobile and social media applications for organizational and commercial use.
Chuan-Hoo Tan (“Using Personal Communication Technologies for Commercial Communications: A Cross-Country Investigation of Email and SMS”) is an assistant professor of information systems at City University of Hong Kong. His research interests include the design and evaluation of consumer-based decision support interfaces, e-commerce, mobile commerce, as well as technology adoption and usage. His articles have appeared in journals such as Information Systems Research, MIS Quarterly, the Journal of Management Information Systems, Long Range Planning, Decision Support Systems, and the Journal of the American Society for Information Science and Technology.
Jason Bennett Thatcher (“Influence Techniques in Phishing Attacks: An Examination of Vulnerability and Resistance”) is a professor of information systems at Clemson University. His research examines the influence of individual beliefs and characteristics on information technology use. He also studies strategic and human resource management issues related to the application of information technologies in organizations. His work appears in MIS Quarterly and the Journal of Applied Psychology.
Eric van Heck (“Consumer Informedness and Firm Information Strategy”) is a professor of information management and markets at the department of technology and operations management, Rotterdam School of Management, Erasmus University. He is a fellow at the Erasmus Research Institute of Management, has been a visiting professor at the Helsinki School of Economics and the Ludwig-Maximilians University in Munich, and, most recently, a visiting scholar at MIT Sloan Center for Information Systems Research.
Peter Vervest (“Consumer Informedness and Firm Information Strategy”) received his Ph.D. cum laude from Technical University Delft. He was elected professor of information systems and networks in 1993 at the School of Management, Erasmus University Rotterdam. He has published over 70 articles and books. He combines an academic career with various high-tech company positions. He chairs the Complex Systems program of the Netherlands Organisation for Scientific Research.
Yair Wand (“How Semantics and Pragmatics Interact in Understanding Conceptual Models”) is CANFOR Professor of management information systems at the Sauder School of Business, University of British Columbia. He received his D.Sc. (operations research) from the Technion (Israel Institute of Technology) and his M.Sc. (physics) from the Weizmann Institute. His research interests include theoretical foundations and methods for information systems analysis and design. In particular, he has worked on the application of ontological theories and classification principles in systems analysis and design.
Ryan T. Wright (“Influence Techniques in Phishing Attacks: An Examination of Vulnerability and Resistance”) is an assistant professor at the University of Massachusetts Amherst. He holds a Ph.D. from Washington State University in management information systems and an MBA from the University of Montana. He has published in MIS Quarterly and the Journal of Management Information Systems. He is also an associate editor for the European Journal of Information Systems and Information and Management.
Jingjun (David) Xu (“The Influences of Online Service Technologies and Task Complexity on Efficiency and Personalization”) is an assistant professor of management information systems at Wichita State University's Barton School of Business. Jingjun received his Ph.D. from the University of British Columbia. His research interests include human-computer interaction, e-commerce, decision support systems, adoption and diffusion of information technology innovations, computer-mediated deception, and mobile commerce. His work has been published or is forthcoming in MIS Quarterly, Information Systems Research, the Journal of the Association for Information Systems, the Journal of Business Ethics, Decision Support Systems, the Journal of Computer Information Systems, and Communications of the Association for Information Systems.
