About Our Authors
Ahmed Abbasi (“The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites”) is the Giovanini Endowed Chair in the Department of Information Technology, Analytics, and Operations in Mendoza College of Business, University of Notre Dame. He attained his PhD from Artificial Intelligence Laboratory, University of Arizona. His work has appeared in numerous outlets including MIS Quarterly, Information Systems Research, and IEEE TKDE. He currently serves on the editorial boards at Information Systems Research, IEEE Intelligent Systems, and ACM TMIS.
Hilal Atasoy (“Information Technology Skills and Labor Market Outcomes for Workers”) is an assistant professor of accounting and information systems at Rutgers Business School. She has a PhD and MS in economics from University of Illinois, Urbana-Champaign. Her research analyzes how information systems and the associated flow of information across providers affect healthcare and the impacts of information technology and innovation on labor markets. Her research has been published in leading outlets such as Management Science and Information Systems Research.
Rajiv D. Banker (“Information Technology Skills and Labor Market Outcomes for Workers”) is an accounting researcher and educator, recognized by the Institute for Scientific Information (Web of Science) as one of the 150 most influential researchers in economics and business. He is a professor and director of Center for Accounting and Information Technology at Fox School of Business and Management, Temple University. He is also president of the International Data Envelopment Analysis Society and editor-in-chief of the Data Envelopment Analysis Journal.
Martin Bichler (“How to Assign Scarce Resources Without Money: Designing Information Systems that Are Efficient, Truthful, and (Pretty) Fair”) is a full professor and associate dean at the Department of Informatics, Technical University of Munich. He received his MSc degree from Technical University of Vienna and his doctorate as well as his habilitation from Vienna University of Economics and Business. He was working as a research fellow at University of California, Berkeley and as a research staff member at the IBM T. J. Watson Research Center, Yorktown Heights, New York.
Gordon Burtch (“Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action”) is an associate professor of information and decision sciences and a McKnight Presidential Fellow at Carlson School of Management, University of Minnesota. His research employs empirical analyses with econometrics and field experimentation to identify and quantify the drivers of individual participation in online contexts. His work has been published in leading journals, including Management Science, Information Systems Research, MIS Quarterly, Manufacturing & Service Operations Management, and the Journal of Consumer Psychology.
Cheng Chen (“Examining the Impact of Television-Program-Induced Emotions on Online Word-of-Mouth Toward Television Advertising”) is assistant professor of information technology management at Sheldon B. Lubar School of Business, University of Wisconsin-Milwaukee. He obtained his PhD in business administration from University of Illinois at Chicago. His research combines theories of information systems with econometrics analyses and machine learning techniques in text mining and computer vision, with a focus on social media platforms.
Haipeng (Allan) Chen (“Coupons or Free Shipping? Effects of Price Promotion Strategies on Online Review Ratings”) is Professor and Gatton Endowed Chair in Marketing at Gatton College of Business and Economics, University of Kentucky. He conducts research in the area of behavioral decision theory and pricing. His research has been published in Journal of Consumer Research, Journal of Marketing, Journal of Marketing Research, Marketing Science, Management Science, Strategic Management Journal, Journal of Monetary Economics, and Review of Economics and Statistics, among others.
Jiawei Chen (“Mining Bilateral Reviews for Online Transaction Prediction: A Relational Topic Modeling Approach”) is an assistant professor of information management and electronic commerce at School of Information Management and Engineering, Shanghai University of Finance and Economics. He received his PhD in management science and engineering from Tsinghua University. His research focuses on the techniques and applications of data mining for business analytics. His recent papers are devoted to predictive behavior modeling in emerging businesses, such as sharing economy and live streaming.
Kun Chen (“News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value”) is an assistant professor in the Department of Finance at Southern University of Science and Technology. She received her PhD in information systems from City University of Hong Kong in 2011. Her research focuses on theoretical and practical problems in fintech, covering regulation, trading, and investor behavior. She has published papers in the INFORMS Journal on Computing, Journal of Management Information Systems, and others.
Peiyu Chen (“Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action”) is a professor in the Department of Information Systems at W. P. Carey School of Business, Arizona State University. She received her PhD from Wharton School, University of Pennsylvania. Her research interests are in data analytics and information technology-enabled strategies. Her work has been published in leading journals such as Management Science, Information Systems Research, MIS Quarterly, Production and Operations Management, and Operations Research.
Christy M.K. Cheung (“Standing Up or Standing By: Understanding Bystanders' Proactive Reporting Responses to Social Media Harassment”) is a professor in the Department of Finance and Decision Sciences of Hong Kong Baptist University. She is an awardee of the RGC Senior Research Fellow Scheme with funding to advance research into the role of technology in online collective deviant behavior. Her work appears in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and Journal of the Association for Information Systems. She serves as the editor-in-chief at Internet Research.
Debabrata Dey (“Support Forums and Software Vendor's Pricing Strategy”) is currently the Marion B. Ingersoll Professor of Information Systems at Foster School of Business, University of Washington. He received his PhD from Simon Business School, University of Rochester. His research has appeared in a variety of journals, such as Management Science, Operations Research, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, INFORMS Journal on Computing, and several ACM and IEEE Transactions.
David Dobolyi (“The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites”) is an assistant research professor at Mendoza College of Business, University of Notre Dame. He earned his PhD from University of Virginia, and his research interests include predictive analytics, computer vision, and behavioral experiments. His work spans a wide range of topics and has been published at a variety of outlets including Science, Journal of Management Information Systems, and ACM Transactions on Information Systems.
Juan Feng (“Does Money Talk? The Impact of Monetary Incentives on User-Generated Content Contributions”) is a chair professor in the Department of Management Science and Engineering, School of Economics and Management and Shenzhen International Graduate School, Tsinghua University. She holds a BA in economics from Renmin University of China and a PhD in business administration from Pennsylvania State University, with a dual title in operations research. Before joining Tsinghua University, she worked at City University of Hong Kong and University of Florida.
Abhijeet Ghoshal (“Support Forums and Software Vendor's Pricing Strategy”) is an assistant professor of information systems at Gies College of Business, University of Illinois at Urbana Champaign. He received his PhD from University of Texas at Dallas. His work has appeared in Information Systems Research, MIS Quarterly, INFORMS Journal on Computing, Journal of Management Information Systems, and Production and Operations Management.
Chenhui Guo (“Online to Offline: The Impact of Social Media on Offline Sales in the Automobile Industry”) is an assistant professor of information systems at Eli Broad College of Business, Michigan State University. He received his PhD in management information systems from University of Arizona. His major research interests include crowd sourcing, user-generated content, e-commerce, online communities, social media, and social networks.
Jacob Haislip (“The Impact of Executives' IT Expertise on Reported Data Security Breaches”) is an assistant professor of accounting at Texas Tech University. He received his PhD in business administration (accounting emphasis) from the University of Arkansas in 2014. He teaches the undergraduate accounting information systems course. His research focuses on corporate governance especially as it relates to information technology.
Alexander Hammerl (“How to Assign Scarce Resources Without Money: Designing Information Systems that Are Efficient, Truthful, and (Pretty) Fair”) is a student in information systems at Technical University of Munich.
Lin Hao (“Freemium Pricing in Digital Games with Virtual Currency”) is an associate professor of information, technology, and operations at Gabelli School of Business, Fordham University. He conducts research on revenue models in electronic commerce, with a focus on platform-enabled businesses and digital retailing. He has published in Information Systems Research, MIS Quarterly, and Production and Operations Management. He received his PhD in business administration from University of Washington.
Yuheng Hu (“Examining the Impact of Television-Program-Induced Emotions on Online Word-of-Mouth Toward Television Advertising”) is assistant professor in the Department of Information and Decision Sciences at College of Business Administration, University of Illinois at Chicago (UIC). Before joining UIC, he was a researcher at IBM Research-Almaden. He obtained his PhD in computer science from Arizona State University. His research interest is on the intersection of machine learning and social media. His research has been published in MISQ, INFORMS Journal of Computing, JMIS, IEEE TKDE, ACM CHI, IJCAI, and AAAI. He won several best paper awards and nominations including WITS (2018), INFORMS CIST (2017), and the ACM CHI (2013).
Ke-Wei Huang (“Correcting Misclassification Bias in Regression Models with Variables Generated via Data Mining”) is an associate professor in the Department of Information Systems and Analytics at National University of Singapore. He received his PhD in information systems from Stern School of Business, New York University. His fields of specialization include pricing information goods, information technology labor economics, forecasting models for financial and accounting applications, and machine learning for improving social science research methods. His works have appeared in journals such as Information Systems Research, Strategic Management Journal,Production and Operations Management, and many others.
Ni Huang (“Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action”) is an associate professor and Bauer Fellow at C. T. Bauer College of Business, University of Houston. Her research focuses on understanding individuals’ usage of digital artifacts and how to optimally design those digital artifacts in various contexts. Her work has been published in top journals, including Management Science, MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, and Journal of Consumer Psychology.
Karthik Kannan (“Welfare Implications in Intermediary Networks”) is the Thomas Howatt Chaired Professor at Krannert School of Management, Purdue University. He studies policy problems related to the economics of information systems and also works on theory-driven data analysis. He is currently the director for Krenicki Center for Business Analytics and Machine Learning.
Junetae Kim (“The Deterrent Effect of Ride-Sharing on Sexual Assault and Investigation of Situational Contingencies”) is an assistant professor at the Graduate School of Cancer Science and Policy, National Cancer Center. He received his PhD from Korea Advanced Institute of Science and Technology. His research interests include medical informatics and health information technology. His research has been published in Journal of Medical Internet Research, JMIR Medical Informatics, and JMIR Mhealth and Uhealth.
Subodha Kumar (“Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace”) is the Paul R. Anderson Distinguished Chair Professor and director of the Center for Business Analytics and Disruptive Technologies at Temple University. He has published several papers in reputed journals and conferences. He has also coauthored books, book chapters, and cases. He also holds a patent. He is the deputy editor of Production and Operations Management and executive editor of Management and Business Review.
Atanu Lahiri (“Support Forums and Software Vendor's Pricing Strategy”) is an associate professor of information systems at Jindal School of Management, University of Texas at Dallas. He received his PhD from Simon Business School, University of Rochester. His research has been published in Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, and INFORMS Journal on Computing, among other journals.
Byungtae Lee (“The Deterrent Effect of Ride-Sharing on Sexual Assault and Investigation of Situational Contingencies”) is a professor of information systems in College of Business, Korea Advanced Institute of Science and Technology. He received his PhD in business administration from University of Texas at Austin. His research interests include the economics of information systems, information technology (IT) productivity measurement, strategic IT investments, and electronic commerce. His papers have appeared in Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Journal of Productivity Analysis, and others.
Xin Li (“News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value”) is an associate professor in the Department of Information Systems at City University of Hong Kong. He received his PhD in management from 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 & People.
Xitong Li (“Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action”) is an associate professor of information systems at HEC Paris, France. He received his PhD in management from MIT Sloan School of Management and his PhD in engineering from Tsinghua University. His research interests include investigating the economic and social impacts of using online data and services. His work has appeared in leading journals, including Information Systems Research, Journal of Management Information Systems, MIS Quarterly, and various ACM and IEEE Transactions.
Jee-Hae Lim (“The Impact of Executives' IT Expertise on Reported Data Security Breaches”) is the distinguished professor of accounting at University of Hawaii. She received her PhD from University of Kansas in 2006. Her research focuses on the impact of accounting information system events. She is currently an editor of Journal of Information Systems and an associate editor of International Journal of Accounting Information Systems.
Hongyan Liu (“Mining Bilateral Reviews for Online Transaction Prediction: A Relational Topic Modeling Approach”) is a professor at School of Economics and Management at Tsinghua University. She received her PhD in management science from Tsinghua University. Her current research interests include data/text mining, personalized recommendation, social computing, medical and financial data analytics. She has published many papers in top journals such as MIS Quarterly, Information Systems Research, INFORMS Journal on Computing, ACM TODS, ACM TOIS, IEEE TKDE and in top conferences such as VLDB, ICDE, SIGKDD, ICDM, SDM, CIKM and ICIS.
Yuewen Liu (“Does Money Talk? The Impact of Monetary Incentives on User-Generated Content Contributions”) is an associate professor in the Department of Information Management and E-Commerce, School of Management, Xi’an Jiaotong University. He holds a BA in management and a PhD in management science and engineering from University of Science and Technology of China, and a PhD in information systems from City University of Hong Kong. He has published in journals such as Annals of Statistics, IEEE Transactions on Cybernetics, and Decision Support Systems.
Peng Luo (“News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value”) is an associate professor at Sichuan University School of Business. He received his PhD in management science and engineering from Harbin Institute of Technology. His research interests include social media, e-commerce, the sharing economy, data science, and analytics.
Zixuan Meng (“Freemium Pricing in Digital Games with Virtual Currency”) is an assistant professor of information systems at Naveen Jindal School of Management, University of Texas at Dallas. She received her PhD in business administration from University of Washington. She is interested in the intersection of information systems and digital economy. Her current projects focus on user-generated content, sharing economy, and digital games.
Thayer Morrill (“How to Assign Scarce Resources Without Money: Designing Information Systems that Are Efficient, Truthful, and (Pretty) Fair”) is a full professor in the Department of Economics, North Carolina State University. He received his BS and MS in mathematics from Miami University and University of Wisconsin, respectively. He completed his doctorate in economics at University of Maryland.
Tingting Nian (“Examining the Impact of Television-Program-Induced Emotions on Online Word-of-Mouth Toward Television Advertising”) is assistant professor of information systems and a Hellman Fellow in the Paul Merage School of Business, University of California at Irvine. She received her BS in information systems from School of Economics and Management, Tsinghua University and her PhD in information systems at Stern School of Business, New York University. Her current research interests include online communities, sharing economy, and social media marketing. She has received several grants and awards from institutions including Think Forward Initiative, Hellman Foundation, Wharton Customer Analytics Initiative, and INFORMS. She publishes in Management Science and Management Information Systems Quarterly.
Thành Nguyen (“Welfare Implications in Intermediary Networks”) is the Lewis B. Cullman Rising Star associate professor at Krannert School of Management, Purdue University. His research interests include market design, network economics, and computational game theory.
Min-Seok Pang (“The Deterrent Effect of Ride-Sharing on Sexual Assault and Investigation of Situational Contingencies”) is an associate professor of management information systems at Fox School of Business, Temple University. He received a PhD in business administration from Stephen M. Ross School of Business, University of Michigan. His research interests include information technology (IT) business value, IT governance, and electronic governments. His research has been published in Management Science, Information Systems Research, MIS Quarterly, Strategic Management Journal, and others.
Jiyong Park (“The Deterrent Effect of Ride-Sharing on Sexual Assault and Investigation of Situational Contingencies”) is an assistant professor of information systems at Bryan School of Business and Economies, the University of North Carolina at Greensboro. He received his PhD from Korea Advanced Institute of Science and Technology. His research interests include economics of information systems, societal impacts of information technology/information systems, and green information technology.
Paul A. Pavlou (“Information Technology Skills and Labor Market Outcomes for Workers”) is the dean of the C.T. Bauer College of Business, University of Houston, and is a Cullen Distinguished Chair Professor of Information Sciences. He was ranked #1 in publications in MIS Quarterly and Information Systems Research in 2010–2016 and was recognized by Thomson Reuters in Economics & Business in 2002–2012. He received a PhD from University of Southern California. He won the Sheth Foundation Award in Journal of Marketing in 2019, the Maynard Award nomination in Journal of Marketing in 2015, the ISR Best Paper award in 2007, and the 2006 IS Publication of the Year award.
Tony Petrucci (“Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace”) is an associate professor in the Human Resources Department at Fox School of Business, Temple University. He earned his PhD in organizational leadership from Regent University. His current research interests are real-time feedback and agile team leadership.
Robert Pinsker (“The Impact of Executives' IT Expertise on Reported Data Security Breaches”) is the Daskal Bolton Professor of Accounting at Florida Atlantic University. He earned his PhD from University of South Florida in 2002. His research focuses on various accounting information system issues, including information security, IT governance, and technology adoption.
Mengke Qiao (“Correcting Misclassification Bias in Regression Models with Variables Generated via Data Mining”) is a PhD candidate in the Department of Information Systems and Analytics at National University of Singapore. Her research interests include machine learning for improving social science research methods and forecasting models for financial and accounting applications. Her research has been presented at the International Conference on Information Systems and the Workshop on Information Technology and Systems.
Liangfei Qiu (“Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace”) 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 University of Texas at Austin. His current research focuses on prediction markets, social networks and social media platforms, telecommunications networks, and economics of information systems.
Michael Rivera (“Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace”) is an associate professor of strategy and entrepreneurship in the Department of Strategic Management at Fox School of Business, Temple University. He received his PhD from Purdue University. His current research focuses on real-time feedback, digital leadership, digital transformation, strategic analytics, and visualization.
Vallabh Sambamurthy (“Online to Offline: The Impact of Social Media on Offline Sales in the Automobile Industry”) is the Albert O. Nicholas Dean of Wisconsin School of Business, University of Wisconsin–Madison. He received his BE from National Institute of Technology, Tiruchirappalli; his postgraduate diploma in management from Indian Institute of Management, Calcutta; and a doctor of philosophy from University of Minnesota. His work has been featured in leading academic journals. He has coauthored several books on digital transformation.
Anjana Susarla (“Online to Offline: The Impact of Social Media on Offline Sales in the Automobile Industry”) is the Omura-Saxena Professor of Responsible AI at Eli Broad College of Business, Michigan State University. She earned an undergraduate degree in mechanical engineering from Indian Institute of Technology, a graduate degree in business administration from Indian Institute of Management, and a PhD in information systems from University of Texas at Austin. Her research interests include the economics of information systems and artificial intelligence.
Yong Tan (“Freemium Pricing in Digital Games with Virtual Currency”) is the Michael G. Foster Endowed Professor of Information Systems at Michael G. Foster School of Business, University of Washington and a distinguished fellow of the INFORMS Information Systems Society. His research interests include economics of information systems, social media and networks, sharing economy, fintech, health information technology, and big data analytics. He has published in Information Systems Research, Management Science, and Management Information Systems Quarterly, among others.
Jason Bennett Thatcher (“Standing Up or Standing By: Understanding Bystanders' Proactive Reporting Responses to Social Media Harassment”) holds the Milton F. Stauffer Professorship in the Department of Management Information Systems at Fox School of Business, Temple University. His work appears in MIS Quarterly, Information Systems Research, and the Journal of Applied Psychology. He has served as a president of the Association for Information Systems and as senior editor at MIS Quarterly. His current projects include surviving a truculent teenager and mastering the art of scrapple.
Anthony Vance (“The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites”) is an associate professor and Elmer R. Deaver Senior Research Fellow at Fox School of Business, Temple University. He earned PhDs from Georgia State University, University of Paris, and University of Oulu. His work is published in MIS Quarterly, Information Systems Research, and other outlets. He currently serves on the editorial boards of MIS Quarterly and Journal of the Association for Information Systems.
Stefan Waldherr (“How to Assign Scarce Resources Without Money: Designing Information Systems that are Efficient, Truthful, and (Pretty) Fair”) is an assistant professor at School of Business and Economics, Vrije Universiteit Amsterdam. He received his MS in mathematics from Technical University of Munich and his doctorate from University of Osnabrück.
Yen-Yao Wang (“Online to Offline: The Impact of Social Media on Offline Sales in the Automobile Industry”) is an assistant professor of information systems management at Harbert College of Business, Auburn University. He received his BA in management information systems from Chung Yuan Christian University, an MS in information systems from Iowa State University, and a PhD in business information systems from Michigan State University. His major research interests include social media, digital marketing, the economics of information systems, and information technology management.
RandyYee Man Wong (“Standing Up or Standing By: Understanding Bystanders' Proactive Reporting Responses to Social Media Harassment”) is an assistant professor in the Department of Information Systems, Supply Chain Management and Decision-Making at NEOMA Business School. She received her PhD in management information systems at School of Business, Hong Kong Baptist University. Her work appears in Information Systems Research, Journal of Management Information Systems, and Computers in Human Behavior.
Ji Wu (“Coupons or Free Shipping? Effects of Price Promotion Strategies on Online Review Ratings”) is an associate professor in Business School, Sun Yat-Sen University. His research interests focus on big data analytics in electronic commerce and healthcare management. His work has appeared in Information Systems Research and MIS Quarterly, among others.
BoXiao (“Standing Up or Standing By: Understanding Bystanders' Proactive Reporting Responses to Social Media Harassment”) is a Shidler College Distinguished Associate Professor in the Information Technology Management Department at Shidler College of Business, University of Hawai’i at Mānoa. She holds a PhD in management information systems from the University of British Columbia. Her research (focusing primarily on human–computer interaction and the dark side of digitization) appears in MIS Quarterly, Information Systems Research, Decision Support Systems, and other leading information systems journals. She is serving as an associate editor at MIS Quarterly.
Yinghui (Catherine) Yang (“Mining Bilateral Reviews for Online Transaction Prediction: A Relational Topic Modeling Approach”) is an associate professor at Graduate School of Management at University of California, Davis. She received her PhD in operations and information management from Wharton School, University of Pennsylvania. Her research focuses on business intelligence, big data, machine learning, data mining methods for business applications, online shopping patterns analysis, and user profiling. Her research has been published in top-tier journals in information systems, marketing, and computer science.
Fatemeh Mariam Zahedi (“The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites”) is UWM Distinguished Professor Emerita at Lubar School of Business, University of Wisconsin-Milwaukee. She earned her DBA from Indiana University–Bloomington. She has published more than 120 refereed papers and book chapters in top outlets including MIS Quarterly, Information Systems Research, Management Science, and Journal of Management Information Systems and served on the editorial boards of MIS Quarterly, Information Systems Research, and Journal of Management Information Systems.
Jiayin Zhang (“Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action”) is an associate professor at Tsinghua University School of Economics and Management. She received her PhD in management from MIT Sloan School of Management. Her current research interests include examining the interactions between humans and information technology platforms and assessing their influences on economic and organizational outcomes. Her work has appeared in American Journal of Sociology, Social Forces, and Chinese Journal of Sociology.
J. Leon Zhao (“News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value”) is a professor of information systems at School of Management and Economics, Chinese University of Hong Kong, Shenzhen. He was previously with City University of Hong Kong, University of Arizona, Hong Kong University of Science and Technology, and the College of William and Mary. He holds a PhD from Haas School of Business, University of California (UC) Berkeley, a master’s degree from UC Davis, and a BS from Beijing Institute of Agricultural Mechanization. His research is on information technology and management.
Haichuan Zhao (“Coupons or Free Shipping? Effects of Price Promotion Strategies on Online Review Ratings”) is an associate professor at the Department of Marketing, School of Management, Shandong University, China. His research interests focus on consumer behavior in electronic commerce and social media. He has published in Information Systems Research, Journal of Interactive Marketing, and Computers in Human Behavior, among others.
