About Our Authors
Mariana Giovanna Andrade-Rojas (“Turning Liabilities of Global Operations into Assets: IT-Enabled Social Integration Capacity and Exploratory Innovation”) is an assistant professor in the ITOM division at Nanyang Business School, Nanyang Technological University. She holds a PhD in innovation and information management from the University of Hong Kong. Dr. Andrade-Rojas' research interests span four main areas: IT business value, data analytics, digitally embedded economy, and competitive dynamics. Her research has been published in Research Policy and in several leading conference proceedings. Her work has received several awards from premier international conferences.
Manmohan Aseri (“Ad-Blockers: A Blessing or a Curse?”) is a visiting assistant professor at Tepper School of Business, Carnegie Mellon University. He graduated with a PhD in management science, with a concentration in information systems, from Naveen Jindal School of Management, University of Texas at Dallas in 2018.
Santiago R. Balseiro (“Online Display Advertising Markets: A Literature Review and Future Directions”) is an associate professor in the decision, risk, and operations division at the Graduate School of Business, Columbia University. His primary research interests are in the area of optimization, stochastic modeling, and game theory with applications in revenue management and Internet advertising. His recent work studies the design and operation of display advertising exchanges.
Ravi Bapna (“Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services”) is the Curtis L. Carlson Chair in Business Analytics and Information Systems at the Carlson School of Management, University of Minnesota. His current research investigates social media, social engagement, analytics, economics of information systems, trust and peer influence online, and IT organization design. His work has been published in journals such as Management Science, INFORMS Journal on Computing, Statistical Science, Information Systems Research, Journal of Retailing, MIS Quarterly, and Decision Sciences.
France Bélanger (“A Theory of Multilevel Information Privacy Management for the Digital Era”) is R.B. Pamplin Professor and Byrd Senior Faculty Fellow at Virginia Tech. She researches digital interactions between individuals, businesses, and governments, and information security and privacy. Her work is published in leading journals, including Information Systems Research, MIS Quarterly, Journal of the Association for Information System, European Journal of Information Systems, and others. She received the 2008 IEEE Education Society Research Award, 2008 Hoeber Research Excellence Award, and 2013 INFORMS Design Science Award.
Gordon Burtch (“Unemployment and Worker Participation in the Gig Economy: Evidence from an Online Labor Market”) is an associate professor of information and decision sciences at the Carlson School of Management, University of Minnesota and a McKnight Presidential Fellow. He is a past recipient of the Association for Information Systems and INFORMS Information Systems Society Early Career Awards, as well as the Information Systems Research Best Published Paper and Best Reviewer awards. He serves as an associate editor for Information Systems Research and Service Science.
Yuan Chen (“Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects”) is an associate professor in the School of Information Management and Engineering at Shanghai University of Finance and Economics. She received her PhD from Northeastern University, Shenyang, China. Her research interests include knowledge management, social media, and users' online behavior.
Hsing Kenneth Cheng (“Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects”) is the John B. Higdon Eminent Scholar of the Department of Information Systems and Operations Management at the University of Florida. He received his PhD in computers and information systems from William E. Simon Graduate School of Business Administration, University of Rochester. His interests focus on analyzing the impact of internet technology on software development and marketing and information systems policy issues, especially the national debate on network neutrality.
Hana Choi (“Online Display Advertising Markets: A Literature Review and Future Directions”) is an assistant professor of marketing at the Simon School of Business, University of Rochester. She received her PhD in marketing from Duke University, and is the winner of the 2018 Sheth Foundation ISMS Doctoral Dissertation Award. Her substantive interests include the digital economy, advertising, and consumer search. Methodologically, she combines exploratory data analysis, causal inference from field experiments, and theoretical and structural modeling approaches.
Milind Dawande (“Ad-Blockers: A Blessing or a Curse?”) is the Mike Redeker Distinguished Professor of Operations Management at Naveen Jindal School of Management, University of Texas at Dallas. He graduated with a PhD in algorithms, combinatorics, and optimization from Tepper School of Business (formerly known as Graduate School of Industrial Administration), Carnegie Mellon University in 1997.
Rajiv Garg (“Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls”) is an assistant professor in the Department of Information, Operations, and Risk Management at the McCombs School of Business, University of Texas at Austin. Rajiv's expertise is on social data science with focus on developing novel cross-disciplinary methods for analyzing information flow. He received his PhD and MPhil from Carnegie Mellon University, two graduate degrees from University of Southern California, and an undergraduate degree from the Indian Institute of Technology.
Abhijeet Ghoshal (“Hiding Sensitive Information When Sharing Distributed Transactional Data”) is an assistant professor of information systems at the Gies College of Business, University of Illinois at Urbana Champaign. He received his PhD from the University of Texas at Dallas. His interests include recommendation system design, data sharing, privacy, and software support. His contributions have appeared in Information Systems Research, MIS Quarterly, INFORMS Journal on Computing, Production and Operations Management, and Journal of Management Information Systems.
Ram D. Gopal (“Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services”) is the Information Systems Society's Distinguished Fellow and a visiting chair professor at the Southern University of Science and Technology, Shenzhen, China. He served as president of the Workshop on Information Technologies and Systems from 2016 to 2018. His diverse and rich portfolio of research spans big data analytics, health informatics, information security, privacy and valuation, intellectual property rights, online market design, and business impacts of technology.
Xitong Guo (“Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study”) is a professor of information systems and codirector of the eHealth Research Institute at the Harbin Institute of Technology. He received a PhD in information systems from the City University of Hong Kong jointly with a PhD in management science and engineering from the University of Science and Technology of China in 2010. His research focuses on eHealth. His work has been published in MIS Quarterly and the Journal of Management Information Systems, among other publications.
Yue Han (“The Importance of Interactions Between Content Characteristics and Creator Characteristics for Studying Virality in Social Media”) is an assistant professor of information systems at the Madden School of Business, Le Moyne College. She received her PhD in business administration with a concentration in information systems and analytics and her master's in project management from Stevens Institute of Technology, and she received her bachelor's in engineering/construction management from Central University of Finance and Economics, China.
Jing Hao (“Hiding Sensitive Information When Sharing Distributed Transactional Data”) graduated with a PhD degree in management science from the University of Texas at Dallas and a BS degree from Beijing Normal University. She is currently a passionate data scientist and advanced analytics professional with experiences in several industries. Her interests include data sharing and data privacy, customer relationship management, and personalization.
Gregory R. Heim (“Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study”) is the Janet and Mark H. Ely '83 Professor in the Department of Information and Operations Management of Mays Business School, Texas A&M University. He holds a PhD in operations and management science from the Carlson School of Management, University of Minnesota. His research interests span service and e-service operations, management of technology, quality management, mass customization, retail supply chain management, and healthcare operations/financial reimbursement processes.
Yili Hong (“Unemployment and Worker Participation in the Gig Economy: Evidence from an Online Labor Market”) is an associate professor of information systems and PhD program director at the W. P. Carey School of Business, Arizona State University. His research has been published in Information Systems Research, Management Science, and MIS Quarterly. He is a past recipient of the Association for Information Systems and INFORMS Information Systems Society Early Career Awards, as well as the Associate Editor of the Year Award (2018) from Information Systems Research.
Ni Huang (“Unemployment and Worker Participation in the Gig Economy: Evidence from an Online Labor Market”) is an assistant professor in the W. P. Carey School of Business at Arizona State University. Her research focuses on the design and evaluation of digital platforms. Her research approaches include experimentation, econometric modeling, and content analyses. Her work has been published in premier journals, such as Management Science, Information Systems Research, MIS Quarterly, among others. She was awarded the best reviewer of the year (2018) from Information Systems Research.
Tabitha L. James (“A Theory of Multilevel Information Privacy Management for the Digital Era”) is an associate professor at the Pamplin College of Business, Virginia Tech. She holds a PhD from the University of Mississippi in management information systems. Her current research interests include behavioral information privacy and security, psychological impacts of technology use, and applications of artificial intelligence. Her research has appeared in outlets such as MIS Quarterly, Journal of Management Information Systems, IEEE Intelligent Systems, European Journal of Information Systems, and Information Systems Journal.
Ganesh Janakiraman (“Ad-Blockers: A Blessing or a Curse?”) is the Ashbel Smith Professor of Operations Management at Naveen Jindal School of Management, University of Texas at Dallas. He graduated with a PhD in operations research from Cornell University in 2002.
Monica Johar (“The Voice of the Customer: Managing Customer Care in Twitter”) is an associate professor of business information systems at the University of North Carolina at Charlotte. She received a PhD in management science from the University of Texas at Dallas. Her research interests include optimal software development methodology, content delivery system, knowledge management, and Web personalization. She has several publications in leading IS journals such as Information Systems Research, Journal of Management Information Systems, and Decision Sciences.
Abhishek Kathuria (“Turning Liabilities of Global Operations into Assets: IT-Enabled Social Integration Capacity and Exploratory Innovation”) is an assistant professor of information systems at the Indian School of Business. He received his PhD from the Goizueta Business School at Emory University. His research examines the business value of IT, focusing on innovation, digital platform strategies, and emerging economies. His work has been published or is forthcoming in Journal of Management Information Systems and Information Systems Research, among others, and he received multiple best paper nominations and awards at various academic conferences.
Marios Kokkodis (“Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms,” “From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare”) is an assistant professor of information systems at the Carroll School of Management, Boston College. His research focuses on understanding various aspects of online user behavior and online work, and on algorithmically improving the transaction efficacy of online platforms (digital workplaces) while maximizing the market value of their users (online workers). His work appears in major information systems, data mining, and multidisciplinary outlets.
Haris Krijestorac (“Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls”) is a doctoral candidate in the Department of Information, Risk, and Operations Management at the McCombs School of Business, University of Texas at Austin. He holds graduate and undergraduate degrees in information systems from Carnegie Mellon University. His research interests relate to the diffusion of digital media, digital marketing, online platforms, and data science.
Subodha Kumar (“Flexible and Committed Advertising Contracts in Electronic Retailing,” “When to Play Your Advertisement? Optimal Insertion Policy of Behavioral Advertisement”) is the Paul Anderson Distinguished Professor of Supply Chain Management, Marketing, Information Systems, and Statistical Science and the director of the Center for Data Analytics at the Fox School of Business, Temple University. He has published numerous papers in various journals. He is the deputy editor and a department editor of Production and Operations Management and has served as a senior editor of Decision Sciences and an associate editor of Information Systems Research.
Nishtha Langer (“Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services”) is an assistant professor of business analytics at the Lally School of Management, Rensselaer Polytechnic Institute, with a PhD from the Tepper School of Business, Carnegie Mellon University. Her recent research examines the economic, organizational, and management aspects of IT human capital. Her work has been published in such top-tier journals as Management Science, Information Systems Research, MIS Quarterly, and the Journal of Management Information Systems.
Theodoros Lappas (“Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms,” “The Importance of Interactions Between Content Characteristics and Creator Characteristics for Studying Virality in Social Media,” “From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare”) received his PhD in computer science from University of California Riverside in 2011. He is an assistant professor of information systems in the School of Business at Stevens Institute of Technology. His research focuses on reputation systems and scalable data mining and machine learning algorithms for the analysis of natural language and social graphs. Dr. Lappas has published papers on various aspects of review-based reputation systems, including review summarization, opinion mining, and fake reviews.
Adam Leary (“Online Display Advertising Markets: A Literature Review and Future Directions”) is vice president of the Applied Machine Learning Group at CBS Interactive. He has over 15 years of experience in data mining, statistical modeling and analysis, and machine learning. Prior to that, while in the doctoral program at Indiana University, he researched phonetics as related to cognitive science and worked on real-time models of speech synthesis using dynamic systems models.
Hsiao-Hui Lee (“Turning Liabilities of Global Operations into Assets: IT-Enabled Social Integration Capacity and Exploratory Innovation”) is a professor at the Department of Management Information Systems, National Chengchi University. She received her PhD in operations management from the Simon School at Rochester University, where she examined issues in service and healthcare areas using stochastic models. Her current research interest is empirical operations management in the context of supply chains, innovation, and sustainability.
Dengpan Liu (“Flexible and Committed Advertising Contracts in Electronic Retailing”) is a professor at the Department of Management Science and Engineering in the School of Economics and Management, Tsinghua University. He received his PhD in management science with a concentration in information systems from the University of Texas at Dallas in 2006. He has published in several journals, including Information Systems Research, Management science, and MIS Quarterly. He serves as a senior editor of Production and Operations Management.
Vijay Mahajan (“Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls”) holds the John P. Harbin Centennial Chair in Business at the McCombs School of Business, University of Texas at Austin. He has received numerous lifetime achievement awards, including the American Marketing Association Charles Coolidge Parlin Award for visionary leadership in scientific marketing. He has served as the editor of the Journal of Marketing Research and as the dean of the Indian School of Business.
Carl F. Mela (“Online Display Advertising Markets: A Literature Review and Future Directions”) is the Finch Foundation Professor of Marketing at Duke University. His research interests include dynamic consumer decision marketing and Internet marketing.
Syam Menon (“Hiding Sensitive Information When Sharing Distributed Transactional Data”) is a professor of information systems at the University of Texas at Dallas. He received his PhD from the University of Chicago. His current interests include crowdsourcing, data sharing, privacy, and recommendation system design. His contributions have appeared in Management Science, Information Systems Research, MIS Quarterly, Operations Research, INFORMS Journal on Computing, and many other outlets, including various IEEE and ACM Transactions.
Sunil Mithas (“Turning Liabilities of Global Operations into Assets: IT-Enabled Social Integration Capacity and Exploratory Innovation”) is a world class scholar and professor at the Muma College of Business. He is among the top information systems scholars in the world, and his interdisciplinary work has appeared in premier business journals. Identified as an MSI Young Scholar by the Marketing Science Institute, he has worked on research or consulting assignments with organizations such as A.T. Kearney, Ernst & Young, Johnson & Johnson, and the Tata Group. He is a frequent speaker at industry events for senior leaders and author of Digital Intelligence: What Every Smart Manager Must Have for Success in an Information Age.
Vijay S. Mookerjee (“Flexible and Committed Advertising Contracts in Electronic Retailing,” “The Voice of the Customer: Managing Customer Care in Twitter,” “Ad-Blockers: A Blessing or a Curse?”) is a professor of information systems and Charles and Nancy Davidson Chair in Information Systems at Naveen Jindal School of Management, University of Texas at Dallas. His research includes social networks, managerial issues in information security, optimal software development methodology, and the economic design of expert systems and machine learning systems. He has served as senior editor of Information Systems Research and serves as an associate editor of several elite journals.
Reza Mousavi (“The Voice of the Customer: Managing Customer Care in Twitter”) is an assistant professor in the Belk College of Business at the University of North Carolina at Charlotte. His research interests include the societal impacts and economics of social media, data science and business analytics, user-generated content and healthcare information systems. Dr. Mousavi received his PhD in business administration from Arizona State University in 2016 and worked as a lead data scientist before joining the University of North Carolina at Charlotte.
Lev Muchnik (“Content Growth and Attention Contagion in Information Networks: Addressing Information Poverty on Wikipedia”) is an associate professor at the Jerusalem School of Business Administration, Hebrew University of Jerusalem, Israel. His expertise is in analysis of massive data sets representing large-scale social systems and their modeling using tools borrowed from social sciences and statistical physics. Recent work has focused on theoretical and empirical problems related to structure and evolution of social networks, peer effects, spread of behavioral norms, and information diffusion.
Paul A. Pavlou (“Unemployment and Worker Participation in the Gig Economy: Evidence from an Online Labor Market”) is the dean of the C. T. Bauer College of Business at the University of Houston. He is also the Cullen Distinguished Chair of Information Sciences. His research has been cited over 40,000 times by Google Scholar, and he was recognized among the “World's Most Influential Scientific Minds” by Thomson Reuters. He was ranked number one in the world in publications in the top two information systems journals, MIS Quarterly and Information Systems Research, during 2010–2016.
Jingchuan Pu (“Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects”) is an assistant professor in the Department of Supply Chain and Information Systems at the Smeal College of Business, Pennsylvania State University. He received his PhD from the Warrington College of Business, University of Florida. His recent research focuses on user content generation and knowledge sharing, e-commerce, and social media.
Liangfei Qiu (“Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects”) is an associate professor and Hough Faculty Fellow in the Department of Information Systems and Operations Management at Warrington College of Business, University of Florida. He received his PhD from the University of Texas at Austin. His current research focuses on prediction market, social networks and social media platforms, telecommunications networks, and economics of information systems.
T. S. Raghu (“An Economic Analysis of Product Recommendation in the Presence of Quality and Taste-Match Heterogeneity”) is department chair and professor of information systems at the W. P. Carey School of Business, 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.
Sam Ransbotham (“From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare”) is a professor of information systems at Boston College. He received his BChE, MBA, and PhD all from the Georgia Institute of Technology.
Gaurav Sabnis (“The Importance of Interactions Between Content Characteristics and Creator Characteristics for Studying Virality in Social Media”) is an associate professor of marketing at the School of Business, Stevens Institute of Technology. He received his PhD in marketing from Penn State; MBA from the Indian Institute of Management Lucknow, India; and his BTech from the University of Pune, India.
Arvin Sahaym (“Turning Liabilities of Global Operations into Assets: IT-enabled Social Integration Capacity and Exploratory Innovation”) is an associate professor at the Carson College of Business, Washington State University. His research examines real-world phenomena at the interface of technology strategy, innovation, and entrepreneurship. He explores the impact of capabilities, contingences, structure, and technologies on firm performance. His research has appeared in MIS Quarterly, Organization Science, Strategic Management Journal, Journal of Business Venturing, and Journal of Business Research, among others. His papers have won best paper awards at various platforms.
Terence J. V. Saldanha (“Turning Liabilities of Global Operations into Assets: IT-Enabled Social Integration Capacity and Exploratory Innovation”) is an assistant professor of management information systems at the Terry College of Business, University of Georgia. He received his PhD in information systems from the Ross School of Business, University of Michigan. His research interests span business value of IT and role of IT in innovation. His research is published in such journals as MIS Quarterly, Journal of Management Information Systems, Journal of Operations Management, and Production and Operations Management, among others. Prior to his graduate studies, he worked in software development.
Sumit Sarkar (“Hiding Sensitive Information When Sharing Distributed Transactional Data”) is a Charles and Nancy Davidson Chair of Information Systems at the Naveen Jindal School of Management, University of Texas at Dallas. He received his PhD from the Simon School of Business, University of Rochester. His research interests are in machine learning, personalization and recommendation technologies, crowdsourcing, data privacy, sponsored search, information quality, heterogeneous databases, web services, and software release strategies.
Zhan (Michael) Shi (“An Economic Analysis of Product Recommendation in the Presence of Quality and Taste-Match Heterogeneity”) is an associate 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 analyzing search and recommendation in platform-based markets and using machine learning techniques to better understand market structure.
Yinliang (Ricky) Tan (“When to Play Your Advertisement? Optimal Insertion Policy of Behavioral Advertisement”) is an assistant professor in the A. B. Freeman School of Business at Tulane University. He received his PhD from the University of Florida. His work has been accepted for publication in journals including Management Science, MIS Quarterly, Information Systems Research, Production and Operations Management, and other premier academic journals. He is recognized as one of the 40 Most Outstanding Business Professors Under 40 worldwide by Poets & Quants.
Dylan Walker (“Content Growth and Attention Contagion in Information Networks: Addressing Information Poverty on Wikipedia”) is an assistant professor of information systems at Boston University's Questrom School of Business. A major focus of his research is understanding causal dynamics surrounding how information, attention, and behaviors spread through complex networks and the role that peer effects and social influence play in emergence of outcomes at individual, community, and population levels. His research in this domain can be found in Information Systems Research, Science, and Management Science.
Liuan Wang (“Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study”) is currently a postdoctoral research fellow of the “Zhuoyue” program in the Information Systems Department at the School of Economics and Management, Beihang University. He received his PhD in management science and engineering from the Harbin Institute of Technology. His research interests include social media in healthcare, mHealth service, and online platforms.
Lai Wei (“When to Play Your Advertisement? Optimal Insertion Policy of Behavioral Advertisement”) is an associate professor in the Department of Management Science at Antai College of Economics and Management, Shanghai Jiao Tong University. He received his PhD from the University of Florida. His work has been accepted for publication in journals including Information Systems Research, Production and Operations Management, and Transportation Science. His research interests lie in the interface between operations management and information systems.
Lu (Lucy) Yan (“Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study”) is an associate professor of information systems at the Kelley School of Business, Indiana University. She holds a PhD in business administration from the Foster School of Business, University of Washington. Her research interests include social media in healthcare, social and economic networks, patient-centric healthcare models, and social media in humanitarian operations. She has published in Information Systems Research and Production and Operations Management, among others.
Tongxin Zhou (“Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study”) is a doctoral student of information systems at the Michael G. Foster School of Business, University of Washington. Her research interests include health information technology, crowdfunding, social networks, sharing economy, gaming, and applications of artificial intelligence in information systems and economics.
Kai Zhu (“Content Growth and Attention Contagion in Information Networks: Addressing Information Poverty on Wikipedia”) is a PhD student of information systems at Boston University's Questrom School of Business. He is broadly interested in understanding the impact of technology on our economy, culture, and society using large-scale empirical and data-oriented research. One particular topic that he is passionate about is measuring the bias, inequality, and polarization that exist in digital information systems and learning how we can overcome them to facilitate greater business and societal success.
