About Our Authors
Mehmet Eren Ahsen (“When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis”) is an assistant professor in the Department of Genetics and Genomic Sciences at Mount Sinai Icahn School of Medicine. He completed his PhD in bioengineering at the University of Texas at Dallas, and subsequently did his postdoctoral studies at IBM Watson Research Center at Yorktown Heights. His primary research interest lies in the fields of decision analysis, machine learning, and cancer genomics.
Edoardo Airoldi (“A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks”) is the Millard E. Gladfelter Professor of Statistics and Director of the Data Science Center, in the Fox School of Business at Temple University. His research focuses on modeling and inferential issues that arise when analyzing network data. He publishes in premier journals in statistics, computer science, and general science. He has received a Sloan Research Fellowship, a Shutzer Fellowship, an NSF Career Award, an ONR YIP Award, an IMS Medallion Lecturer, and several other honors and best paper awards.
Mehmet U.S. Ayvaci (“When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis”) is an assistant professor of information systems in the Jindal School of Management at the University of Texas Dallas. His research broadly focuses on economics of information and information technology in healthcare (health IT) and medical applications of decision theory. His recent research has examined the value and impact of health information exchanges, digital vulnerabilities arising from information provision, and the role of behavioral phenomena in design and use of algorithms.
Xue Bai (“A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks”) is associate professor of marketing and management information systems and the Milton F. Stauffer Fellow in the Fox School of Business at Temple University. She received her PhD degree from Carnegie Mellon University. Her research applies data mining and mathematical modeling methods to problems in online platforms and social media. She publishes in top journals in Information Systems and Management Science and has served as Associate Editor at Information Systems Research and Decision Support Systems.
Nicholas Berente (“Data-Driven Computationally Intensive Theory Development”) is associate professor of management information systems at the University of Georgia’s Terry College of Business and a research fellow with the University of Liechtenstein. He received his PhD from Case Western Reserve University. His research interests include computationally intensive approaches to and theory development, digital innovation and institutional change in organizations, and cyberinfrastructure.
Prasanta Bhattacharya (“A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks”) is a research scientist working on computational social science with a special focus on predictive and inferential methods in large social networks. His current research aims at understanding the role of social networks in emerging social and business applications like digital marketing, micro-finance, healthcare, and urban systems. He actively collaborates with leading industry partners from around the world, and has presented his research in major computer science, information systems, and marketing conferences.
Jason Chan (“The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends”) is an assistant professor of information & decision sciences and Lawrence Fellow at the University of Minnesota's Carlson School of Management. He has published in top journals including Information Systems Research, Management Science, and MIS Quarterly, and received several research awards, including the MIS Quarterly Best Paper Award, AIS Best Published Paper, and Nunamaker-Chen Dissertation Award. He has won the Best AE Award at ICIS, and the Distinguished Service Award from Management Science. He was named as one of the “Top 40 Professors Under 40 Worldwide” by Poets & Quants.
Hsinchun Chen (“Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act”) is Arizona Regents’ Professor, Thomas R. Brown Chair Professor in Management and Technology, and Director of the Artificial Intelligence Laboratory at the University of Arizona. He is a fellow of ACM, IEEE, and AAAS. His research interests include artificial intelligence, business analytics, and design science. He has published in MIS Quarterly, Information Systems Research, Management Science, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, and other academic journals.
Wei Chen (“Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews”) is an assistant professor of management information systems at the Eller College of Management, University of Arizona. He received his PhD from the Rady School of Management, University of California, San Diego. His research focuses on how technology empowers innovation, and has appeared in MIS Quarterly. Currently, he is investigating how organizations manage IT-enabled external resources to produce products and services in areas such as crowdsourcing, crowdfunding, and digital marketing.
Chris Forman (“Battle of the Internet Channels: How Do Mobile and Fixed-Line Quality Drive Internet Use?”) is the Peter and Stephanie Nolan Professor of Strategy, Innovation, and Technology at the Dyson School of Applied Economics and Management at Cornell University. He received his PhD from Northwestern University. His research focuses on IT innovation and strategy, and has included among other topics the study of platform and intellectual property strategies of IT producers and business process innovation among IT-using firms. He currently serves as department editor at Management Science.
Anindya Ghose (“A Structural Analysis of the Role of Superstars in Crowdsourcing Contests”, “Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps”, and “The Digital Sin City: An Empirical Study of Craigslist's Impact on Prostitution Trends”) is the Heinz Riehl Chair Professor at New York University’s Stern School of Business and the Director of the Center for Business Analytics. He is the author of TAP:Unlocking the Mobile Economy, a double winner in 2018 Axiom Business Book Awards that has been translated into five languages. In 2014, he was named by Poets & Quants as one of the “Top 40 Professors Under 40 Worldwide” and by Analytics Week as one of the “Top 200 Thought Leaders in Big Data and Business Analytics.” In 2017, he was recognized by Thinkers50 as one of the Top 30 Management Thinkers globally. He is the youngest recipient of the prestigious INFORMS Information Systems Society Distinguished Fellow Award. He has received 16 best paper awards and nominations. He is an NSF CAREER award winner. He serves as an associate editor for Management Science and a senior editor for Information Systems Research.
Bin Gu (“Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews” and “The Impact of Twitter Adoption on Lawmakers’ Voting Orientations”) is Earl and Gladys Davis Distinguished Professor and associate dean of China Programs at the W.P. Carey School of Business at Arizona State University. His research interests are in data analytics, online platforms, online social media and social network, mobile commerce, and IT-enabled business models. His work has appeared in Management Science, MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Production and Operations Management, and other academic journals.
Lin Hao (“Who Wants Consumers to Be Informed? Facilitating Information Disclosure in a Distribution Channel”) is an assistant professor at the University of Notre Dame Mendoza College of Business. His research portfolio focuses on revenue models in platform markets, digital games, and online retail industries. His work has been published at top academic journals such as Information Systems Research,MIS Quarterly, and Production and Operations Management. He received his PhD in information systems from the University of Washington in 2012.
Il-Horn Hann (“Crowdfunding and the Democratization of Access to Capital—An Illusion? Evidence from Housing Prices”) is an associate professor at the Robert H. Smith School of Business at the University of Maryland. He is the codirector of the school’s Center for Digital Innovation, Technology and Strategy (DIGITS). He received his PhD from the Wharton School of the University of Pennsylvania. His research interest is in the intersection of IT and markets. His research papers have been published in Management Science, MIS Quarterly, and Information Systems Research, among others.
Taha Havakhor (“Performance Consequences of Information Technology Investments: Implications of Emphasizing New or Current Information Technologies” and “Relationships Between Information Technology and Other Investments: A Contingent Interaction Model”) is an assistant professor of management science and information systems in the Spears School of Business at Oklahoma State University. His research focuses on IS strategy and the business value of IT, both in established and entrepreneurial firms. His scholarly work has been published, or is forthcoming, in outlets such as Information Systems Research, Information Systems Journal, and the Journal of Management Information Systems. He received his PhD from the University of Arkansas in 2016.
Kartik Hosanagar (“How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment”) is the John C. Hower Professor at the Wharton School of the University of Pennsylvania. Kartik’s research work focuses on the digital economy, in particular, the impact of analytics and algorithms on consumers and society, internet media, internet marketing, and e-commerce. His research and teaching have received multiple awards including the 2017 Management Science best paper award in Information Systems.
Yu “Jeffrey” Hu (“Battle of the Internet Channels: How Do Mobile and Fixed-Line Quality Drive Internet Use?”) is Sharon A. and David B. Pearce Professor at the Scheller College of Business at Georgia Institute of Technology. He received a PhD from MIT’s Sloan School of Management. His research studies the impact of information technologies on consumer behavior, firm strategy, and market competition. He has won several research awards including the inaugural Management Science Best Paper Award in Information Systems.
Jinghua Huang (“Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms”) is a full professor at the Department of Management Science and Engineering in the School of Economics and Management, Tsinghua University. She received her PhD from Tsinghua University in 2004. Her research interests focus on business value of IS/IT, social networking, and electronic business.
Keongtae Kim (“Crowdfunding and the Democratization of Access to Capital—An Illusion? Evidence from Housing Prices”) is an assistant professor at the CUHK Business School at the Chinese University of Hong Kong. He earned his PhD from the Robert H. Smith School of Business at the University of Maryland. His research interests are crowdfunding/crowdsourcing, IT and innovation/entrepreneurship, IT and labor market, and IT business value. His research has appeared in Information Systems Research and MIS Quarterly.
Youngsoo Kim (“The Dynamics of Online Consumers’ Response to Price Promotion”) is an assistant professor of Rawls College of Business, Texas Tech University. He earned his bachelor’s and master’s degrees from Korea Advanced Institute of Science and Technology (KAIST) and a PhD in information systems from Carnegie Mellon University. His research interests include online commerce, communication and network, and knowledge management. He has published papers in refereed journals, including Management Science and Information Systems Research.
Ramayya Krishnan (“The Dynamics of Online Consumers’ Response to Price Promotion”) is the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Heinz College and the department of engineering and public policy at Carnegie Mellon University. He has a bachelor’s degree from the Indian Institute of Technology and a PhD in management science and information systems from the University of Texas at Austin. His work has addressed technical, policy, and business problems that arise in consumer and social behavior in digitally instrumented environments, and he has published extensively on these topics.
Anuj Kumar (“Why Do Stores Drive Online Sales? Evidence of Underlying Mechanisms from a Multichannel Retailer”) is an associate professor of information systems at the Warrington College of Business, University of Florida. He received a PhD in information systems management from Carnegie Mellon University. His research utilizes economic and statistical methods to study the impact of information technology on the behavior of firms and individuals. His research has won several awards and published in leading journals, such as Management Science and Information Systems Research.
Subodha Kumar (“Why Do Stores Drive Online Sales? Evidence of Underlying Mechanisms from a Multichannel Retailer”) is the Paul R. Anderson Distinguished Chair Professor of Supply Chain, Marketing, Information Systems, and Statistical Science at the Fox School of Business, Temple University. He is also the Director of the Center for Data Analytics and the PhD Concentration Advisor of Operations and Supply Chain Management. He earned his PhD from the University of Texas at Dallas. He holds several senior editorial positions in the leading management journals.
Hyeokkoo Eric Kwon (“Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps”) is an assistant professor of information technology and operations management in Nanyang Business School at Nanyang Technological University. He received his PhD from the Korea Advanced Institute of Science and Technology (KAIST). His research interests include economics of information systems, mobile/social media strategy, health IT, and FinTech.
Dokyun Lee (“How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment”) is an assistant professor of business analytics at the Tepper School. He studies the application, development, and impact of machine learning and AI algorithms in business and society—in particular, measuring the economic impact of unstructured data (text and images), interpretable ML for business, and unintended consequence of machine learning. His research has won many academic awards as well as research grants from companies and institutions such as Adobe, NVidia, and the Marketing Science Institute.
Dongwon Lee (“Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps”) is the area chair and professor of MIS at Korea University Business School. He received his PhD in MIS from the University of Minnesota. His research interests are online/offline pricing, social media, big data analytics, mobile strategy, and platform business.
Mingfeng Lin (“Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act”) is an associate professor of information technology management at the Scheller College of Business, Georgia Institute of Technology. He studies online crowdfunding, online labor markets, and other online platforms. His research has appeared in Management Science and Information Systems Research. He received his PhD from the University of Maryland, College Park.
Yu-Kai Lin (“Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act”) is an assistant professor in the department of computer information systems at the Robinson College of Business, Georgia State University. He received a PhD in management information systems from the University of Arizona. His current research interests include health information technology, predictive modeling, and unstructured data analytics.
Zhijie Lin (“An Empirical Study of Free Product Sampling and Rating Bias”) is an associate professor in the School of Economics and Management, Tsinghua University. He received his PhD in information systems from National University of Singapore. His research interests include economics of information systems, sharing economy, electronic commerce, and social media. He has published his works in MIS Quarterly, Information Systems Research, and Journal of Management Information Systems, among others.
Amit Mehra (“Why Do Stores Drive Online Sales? Evidence of Underlying Mechanisms from a Multichannel Retailer”) is an associate professor at the Jindal School of Management, University of Texas at Dallas. He holds a PhD in information systems from the University of Rochester. His research focuses on how technology changes human behavior and the consequences of this change on firm strategies in contexts like retail and education. His research has won several awards and published in leading journals, such as Management Science and Information Systems Research.
Probal Mojumder (“The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends”) is a PhD candidate in information & decision sciences at the University of Minnesota’s Carlson School of Management. He received his master’s degree in quantitative economics from Indian Statistical Institute. His research uses econometrics, randomized experiments, and analytical modeling to investigate online platform’s impact on society. His research has been published in Production and Operations Management, and is presented at ICIS and WISE.
Reza Mousavi (“The Impact of Twitter Adoption on Lawmakers’ Voting Orientations”) is assistant professor of business information systems and assistant professor of data science and business analytics at Belk College of Business at The University of North Carolina–Charlotte. His research interests include societal impacts and economics of social media, data science and business analytics, user-generated content, and healthcare information systems. He received his PhD from Arizona State University in 2016 and worked as a lead data scientist before joining The University of North Carolina–Charlotte.
Wonseok Oh (“Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps”) is the K.C.B. Chair Professor of Information Systems in the College of Business at the Korea Advanced Institute 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 economics of information systems, mobile/AI strategy, voice/image mining, and e-book consumption patterns.
Tuan Q. Phan (“A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks”) is an assistant professor at the Department of Information Systems and Analytics at the National University of Singapore. His works in social networks and Big Data spans multiple disciplines including economics, marketing, consumer behavior, computer science, and statistics through various industries including retail and e-commerce, logistics and transportation, media, technology and consumer products, education, and FinTech. He received his doctorate from Harvard Business School, and an undergraduate from MIT.
Liangfei Qiu (“Optimal Auction Design for Wi-Fi Procurement”) is an assistant professor in the Department of Information Systems and Operations Management at the Warrington College of Business, University of Florida. He received his PhD in economics from the University of Texas at Austin. His current research focuses on economics of information systems, prediction markets, social media, and telecommunications policy. His research has been published in journals such as Information Systems Research, MIS Quarterly, and Production and Operations Management.
Srinivasan Raghunathan (“When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis”) is a professor of information systems in the School of Management, University of Texas at Dallas. He obtained BTech degree in electrical engineering from IIT, Madras, Post Graduate Diploma in management from IIM, Calcutta, and PhD in business administration from the University of Pittsburgh. His current research interests are in the economics of information technology and systems. His papers have been published in journals such as Management Science, Information Systems Research,Journal of Management Information Systems, various IEEE Transactions, IIE Transactions, and Production and Operations Management.
Huaxia Rui (“Optimal Auction Design for Wi-Fi Procurement”) is the Xerox Assistant Professor at Simon Business School of University of Rochester. He received his PhD from the University of Texas at Austin in 2012. His research has been published in leading academic journals such as Journal of Financial Economics, MIS Quarterly, Management Science, Information Systems Research, Production and Operations Management, Journal of Mathematical Economics, and Journal of Management Information Systems.
Rajiv Sabherwal (“Performance Consequences of Information Technology Investments: Implications of Emphasizing New or Current Information Technologies” and “Relationships Between Information Technology and Other Investments: A Contingent Interaction Model”) is Edwin & Karlee Bradberry Chair and Department Chair of Information Systems in the Walton College of Business at the University of Arkansas. He has published on the management, utilization, and impacts of IT and knowledge in journals including Information Systems Research, MIS Quarterly, Management Science, Organization Science, and the Journal of Management Information Systems. He is a Fellow of the Association of Information Systems, with a PhD from the University of Pittsburgh.
Sanjiv Sabherwal (“Performance Consequences of Information Technology Investments: Implications of Emphasizing New or Current Information Technologies” and “Relationships Between Information Technology and Other Investments: A Contingent Interaction Model”) is a Distinguished Teaching Professor of Finance at the University of Texas–Arlington. His research examines issues in corporate finance, international finance, and IT investments. His research has been published in prominent journals such as the Journal of Finance, the Journal of Financial and Quantitative Analysis, Financial Management, Information Systems Research, Decision Sciences, and IEEE Transactions on Engineering Management. He received his PhD from Georgia Tech.
Hani Safadi (“Data-Driven Computationally Intensive Theory Development”) is an assistant professor in the Terry College of Business at the University of Georgia and a research collaborator at Mayo Clinic. He is interested in online communities, social media, healthcare information technology, mixed-methods research, and the application of computational linguistics in studying qualitative data. He holds a PhD in management information systems from McGill University.
Stefan Seidel (“Data-Driven Computationally Intensive Theory Development”) is associate professor of information systems at the University of Liechtenstein. His research explores the role of digital innovation in creating organizational, societal, and environmental change. Moreover, he is interested in philosophical and methodological questions about building theory and conducting impactful research. He received his doctorate from the University of Muenster.
Param Vir Singh (“A Structural Analysis of the Role of Superstars in Crowdsourcing Contests”) is the Carnegie Bosch Associate Professor of Business Technologies and Director of PNC Center for Financial Services Innovation at the Tepper School of Business, Carnegie Mellon University. He is a recipient of the INFORMS Information Systems Society’s prestigious Sandy Slaughter Early Career Award. His research has won several best paper awards and is frequently cited by mainstream media. He serves as an associate editor for Management Science and a senior editor for Information Systems Research. His research articles have appeared in several leading journals including Management Science, Marketing Science, Information Systems Research, MIS Quarterly, and Organization Science.
Tingting Song (“Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms”) is an assistant professor at the Department of Management Information System in Antai College of Economics and Management, Shanghai Jiao Tong University. She received her PhD in Management Science and Engineering from Tsinghua University in 2017. Her research interests focus on social networking, user-generated content, electronic commerce, and online consumer behavior.
Zachary R. Steelman (“Performance Consequences of Information Technology Investments: Implications of Emphasizing New or Current Information Technologies” and “Relationships Between Information Technology and Other Investments: A Contingent Interaction Model”) is an assistant professor of information systems in the Walton College of Business at the University of Arkansas. His research interests focus on the development, management, and impact of organizational IT systems, applications, and architectures which have been published in journals such as MIS Quarterly, Information Systems Research, Information Systems Journal, MISQ Executive, and the Communications of the AIS. He received his PhD from the University of Arkansas.
Yong Tan (“Who Wants Consumers to Be Informed? Facilitating Information Disclosure in a Distribution Channel”, “Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms”, and “An Empirical Study of Free Product Sampling and Rating Bias”) 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. He is a Distinguished Fellow of the INFORMS Information Systems Society, and the Associate Director of the USTC-UW Institute for Global Business and Finance Innovation. His research interests include electronic, mobile, and social commerce; big data; economics of information systems; social and economic networks; and health IT. He has published in Management Science, Information Systems Research, MIS Quarterly, and Journal of Management Information Systems, among others. He is now a senior editor of Information Systems Research and on the board of editors of Journal of Management Information Systems.
Andrew Whinston (“Optimal Auction Design for WiFi Procurement”) is the Hugh Cullen Chair Professor in the Information, Risk, and Operation Management Department at the McCombs School of Business at the University of Texas at Austin. He is also director of the Center for Research in Electronic Commerce. He received his PhD in economics from Carnegie Mellon University. He has published more than 300 papers in the major economic and management journals and has coauthored 27 books. His Erdös number is 2.
Jiao Xu (“Battle of the Internet Channels: How Do Mobile and Fixed-Line Quality Drive Internet Use?”) is an associate lecturer at the University of Wisconsin-Madison. She received her PhD in information technology management from the Georgia Institute of Technology. Her research focuses on the mobile analytics by examining consumer adoption and usage behavior within the context of mobile internet. She has published in Journal of Marketing.
Qiang Ye (“Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews”) is a professor and dean of the School of Management, Harbin Institute of Technology. His research focuses on social media, business analytics, business intelligence, and finance technology (FinTech). His research has appeared in Production and Operations Management, Tourism Management, The Journal of Futures Markets, Decision Support Systems, and other academic journals.
Yifan Yu (“Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms”) was admitted as a PhD candidate at the Michael G. Foster School of Business, University of Washington in 2018. He will receive his master’s degree in management science and engineering from Tsinghua University in July 2018. His research interests include data analytics, social media, e-commerce, and consumer psychology.
Shunyuan Zhang (“A Structural Analysis of the Role of Superstars in Crowdsourcing Contests”) is a PhD student in business technology at the Tepper School of Business at Carnegie Mellon University. Her research is in crowdsourcing, sharing economy, and social media. She holds a bachelor’s degree in physics from the University of Science and Technology of China and a PhD in physics from Purdue University.
Ying Zhang (“An Empirical Study of Free Product Sampling and Rating Bias”) is a PhD candidate in the Department of Information Systems and Analytics, School of Computing at the National University of Singapore. Her research interests focus on economics of information systems, digital marketing, electronic commerce, and online word-of-mouth. Her works have been published in Tsinghua Business Review and International Conference on Information Systems, among others.
Kevin Zhu (“Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews”) received his PhD from Stanford and is currently professor of innovation, technology and operations at University of Californian, San Diego. His work focuses on technology innovation, adoption, and impact, which received more than 8,000 citations by other scholars. He has been invited to give seminars by more than 50 top institutions. He received five Best Paper Awards, as well as the NSF CAREER Award for his research on digital transformation of enterprises.
