About Our Authors
Uttara M. Ananthakrishnan (“A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?”) is an assistant professor of information systems at the Foster School of Business, University of Washington. She received her PhD in information systems and management from Heinz College, Carnegie Mellon University. Her research sits at the intersection of technology, business, and policy. At a broad level, her research aims to understand online consumer and firm behavior and how online interactions influence the design and operation of digital platforms.
Yash Babar (“Examining the Heterogeneous Impact of Ride-Hailing Services on Public Transit Use”) is a PhD candidate in information and decision sciences at Carlson School of Management, University of Minnesota. His research examines the interplay between online and offline interactions in the contexts of technology substitution, group communication, and digital social interventions for changing individual behavior.
Gordon Burtch (“Examining the Heterogeneous Impact of Ride-Hailing Services on Public Transit Use”) is an associate professor of information and decision sciences at 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 Institute for Software Research’s best paper, best reviewer, and best associate editor awards. His research has been supported by several notable organizations, including 3M, Adobe, Facebook, and the European Commission.
Xi Chen (“Optimizing Two-Sided Promotion for Transportation Network Companies: A Structural Model with Conditional Bayesian Learning”) has been a professor at the School of Business, Nanjing University since 2012. He has authored more than 70 refereed journal/international conference papers, and more than 60 papers have been indexed by SCI/SSCI and EI. He has also published two monographs and owned several national authorized patents. He received his PhD in 2005. His research interests include business intelligence, services engineering and management, and computational simulation experiments.
Zhi (Aaron) Cheng (“Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems”) is an assistant professor of information systems at the Department of Management, London School of Economics. He received his PhD in business administration from Temple University. His research interests include the social and economic impact of digitization, IT and public policy, and digital business strategy. His research leverages econometrics, field experimentation, and machine learning techniques to understand the causes of digital innovation for the betterment of businesses, segments of society, and individuals' everyday lives.
Alan R. Dennis (“Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media”) is a professor of information systems and holds the John T. Chambers Chair of Internet Systems in the Kelley School of Business, Indiana University. He was named a Fellow of the Association for Information Systems (AIS) in 2012. He has written more than 150 research papers and has won numerous awards for his research. His research focuses on team collaboration, fake news, and information security. He is the president of AIS.
Weiguo Fan (“Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis”) is the Henry B. Tippie Chair in Business Analytics at the University of Iowa. He received his PhD from the University of Michigan. His research interests include information retrieval, machine learning, business intelligence, data science, artificial intelligence, natural language processing, and business analytics. He has published more than 200 refereed journal and conference papers, and his research has appeared in many premier information systems/operations management journals.
Anandasivam Gopal (“Different but Equal? A Field Experiment on the Impact of Recommendation Systems on Mobile and Personal Computer Channels in Retail”) is the Dean's Professor of Information Systems at the Robert H. Smith School of Business, University of Maryland, College Park. He has a PhD in information systems from the Tepper School of Business, Carnegie Mellon University. His research interests are in the economics of information systems, focusing on software development outsourcing, digital platforms, venture capital, and technology-related entrepreneurship and innovation.
Sang-Pil Han (“When Loyalty Goes Mobile: Effects of Mobile Loyalty Apps on Purchase, Redemption, and Competition”) is an associate professor of information systems in the W. P. Carey School of Business, Arizona State University. His research focuses on mobile apps, mobile advertising, and mobile platforms. In his research, he uses econometric analyses, machine learning, structural modeling and randomized field experiments. His papers were published in top-tier journals such as Management Science, MIS Quarterly, and Information Systems Research.
Shu He (“Matching Mobile Applications for Cross-Promotion”) is an assistant professor in the Department of Operations and Information Management at the School of Business, University of Connecticut. She earned her PhD in economics from the University of Texas at Austin. Her research interests include social media, platform, online advertising, and cybersecurity. Her work has appeared in Information Systems Research, MIS Quarterly, and Journal of Cybersecurity. She has received a National Science Foundation grant to support her research.
Yi-Chun (Chad) Ho (“When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding”) is an assistant professor of information systems at the School of Business, George Washington University. He received his PhD from the Foster School of Business, University of Washington. His research explores contemporary business phenomena in a variety of IT-enabled contexts, including online reviews, crowdfunding, electronic and mobile commerce, and social media. His research has appeared in premier journals such as Information Systems Research.
Leila Hosseini (“A Switch in Time Saves the Dime: A Model to Reduce Rental Cost in Cloud Computing”) is a PhD student in management science (information systems concentration) in the Naveen Jindal School of Management, University of Texas at Dallas. Her research interests focus on the economics of and operational issues in cloud computing, Internet of Things, and digital advertising.
Yan Huang (“Data-Driven Promotion Planning for Paid Mobile Applications”) is an assistant professor of business technologies at Tepper School of Business, Carnegie Mellon University. In her research, she uses quantitative methods to examine the economic and social impacts of technologies (especially artificial intelligence and crowd-based technologies) and the mechanisms behind them, and recommends more productive use of technologies and/or more effective design of technology-enabled platforms and applications.
Yang Jiang (“When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding”) is an assistant professor of information systems at the School of Business, Nanjing University. She received her PhD from the School of Management, Harbin Institute of Technology. Her current research interests include peer-to-peer lending, crowdfunding, mobile apps, and financial market and social media. Her research has been published in journals such as Journal of Management Information Systems.
Antino Kim (“Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media”) is an assistant professor of information systems and a Grant Thornton Scholar at the Kelley School of Business, Indiana University. He earned his PhD in information systems from the Foster School of Business, University of Washington. His research interests include misinformation and social media, digital piracy and policy implications, supply chain of information goods, and information technology and worker displacement. His recent papers also appear in Journal of Management Information Systems, Management Science, and MIS Quarterly, among others.
Tobias Kretschmer (“Video Killed the Radio Star? Online Music Videos and Recorded Music Sales”) is a professor of strategy, technology, and organization at the University of Munich and a research fellow at the Centre for Economic Policy Research. He holds a PhD in economics from London Business School. His research covers the economics and management of platform and network markets and the role of strategic organization design and information technology in determining firm performance. He has published in top management, economics, and information systems journals.
Michael Kummer (“Unemployment and Digital Public Goods Contribution”) is an assistant professor at the University of East Anglia and an adjunct assistant professor at the Georgia Institute of Technology. He obtained his PhD from the University of Mannheim. His research focuses on the economics of digitization, information technologies, privacy, networks, and competition in online markets. His research is published in Management Science, Econometric Journal, European Economic Review, Information Systems Review, and Information Economics and Policy.
Dongwon Lee (“Different but Equal? A Field Experiment on the Impact of Recommendation Systems on Mobile and Personal Computer Channels in Retail”) is an assistant professor in the Information Systems, Business Statistics, and Operations Management Department at the Hong Kong University of Science and Technology. His research interests are customer analytics, mobile commerce, digital nudging, strategic use of information technology, and economics of information systems. He received his PhD in information systems from the University of Maryland and holds MS and BS degrees from Korea Advanced Institute of Science and Technology.
Gene Moo Lee (“Matching Mobile Applications for Cross-Promotion”) is an assistant professor of information systems at the Sauder School of Business, University of British Columbia. He received his PhD in computer science from the University of Texas at Austin. His research interests are in business analytics. His works have appeared in MIS Quarterly, Journal of Management Information Systems, and Journal of Business Ethics. He has industry experiences at Samsung, AT&T, Intel, and Goldman Sachs. He holds 11 patents in mobile technology.
Joowon Lee (“Matching Mobile Applications for Cross-Promotion”) received her PhD in management engineering from the Korea Advanced Institute of Science and Technology (KAIST) Business School in Seoul, Korea. Her research interests include visual marketing, consumer psychology, and marketing strategies for the new media industry. She worked as a marketing manager at SK Marketing and was a visiting scholar at the University of Texas at Austin.
Beibei Li (“A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?”) is the Anna Loomis McCandless Chair and an associate professor of information technology and management at Heinz College, Carnegie Mellon University. She received her PhD in information systems with distinction from the Stern School of Business, New York University. She has extensive experience at leveraging both observational data analytics and experimental analysis with a strong focus on modeling customer behavior across online, offline, and mobile channels for decision support.
Manqi (Maggie) Li (“Data-Driven Promotion Planning for Paid Mobile Applications”) is a PhD candidate at the Ross School of Business, University of Michigan. Her research interests include operations management in digital markets, data-driven decision-making, platform economy, and emerging technologies.
Xiaomo Liu (“Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis”) is a director of data science at S&P Global Ratings, focusing on using machine learning and natural language processing to improve credit rating practices. Prior to S&P, he was a senior research scientist at Thomson Reuters, where he invented artificial intelligence algorithms and systems to help news and legal professionals to automate their workflow. He holds a PhD in computer science from Virginia Tech and three patents and has published more than 30 peer-reviewed papers.
Susan F. Lu (“Does Telemedicine Reduce Emergency Room Congestion? Evidence from New York State”) is the Gerald Lyles Rising Star Associate Professor of Management at the Krannert School of Management, Purdue University. Her research focus is on healthcare operations and analytics, with an emphasis on nursing home operations and cardiac care delivery. Applying both empirical and machine learning methodologies, she investigates the operational drivers of healthcare delivery performance to understand the impact of public policies and technological innovations on the management of healthcare operations.
Martin Meißner (“Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments”) is professor of marketing at Zeppelin University, Germany. He received his PhD in business administration (marketing) from Bielefeld University. His research on visual attention, assistance systems in e-commerce and VR-commerce, judgment and decision making, and preference measurement has been published in Journal of Marketing Research, Journal of Management Information Systems, and Organizational Research Methods, among others.
Vijay Mookerjee (“A Switch in Time Saves the Dime: A Model to Reduce Rental Cost in Cloud Computing”) is the Charles and Nancy Davidson Chair in Information Systems in the Naveen Jindal School of Management, University of Texas at Dallas. His current research interests include the optimal design of e-commerce servers, web server capacity planning, software development, and expert systems.
Patricia L. Moravec (“Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media”) is an assistant professor of information systems at the McCombs School of Business, University of Texas at Austin. She earned her PhD in information systems from the Kelley School of Business, Indiana University before working at KPMG. Her research interests include information quality, disinformation, and cognition during social media use. She has also published in MIS Quarterly and Journal of Management Information Systems.
Guofang Nan (“Cloud Services vs. On-Premises Software: Competition Under Security Risk and Product Customization”) is a professor at the College of Management and Economics, Tianjin University. He received his PhD in management information systems from the College of Management and Economics, Tianjin University in 2004. His research interests are primarily in the area of economics of information systems and internet services. His papers have appeared in Journal of Management Information Systems, Journal of the Association for Information Systems, and Decision Support Systems, as well as other journals.
Wonseok Oh (“When Loyalty Goes Mobile: Effects of Mobile Loyalty Apps on Purchase, Redemption, and Competition”) is the KCB Chair Professor in the College of Business, Korea Advanced Institute of Science and Technology. He received his PhD in information systems from the Stern School of Business, New York University. His research interests include the economics of IS, AI business strategy, and mobile marketing. His research has been published in premier journals, including Information Systems Research, MIS Quarterly, Management Science, and Production and Operations Management.
Min-Seok Pang (“Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems”) is an associate professor at Fox School of Business, Temple University. He graduated from Korea Advanced Institute of Science and Technology and holds a PhD from University of Michigan. His research interests include strategic IT management in government and technology-enabled public policies. His research has been published in Management Science, MIS Quarterly, and Information Systems Research. He received an AIS Best Publication Award and an ISR Best Published Paper Award.
Sung-Hyuk Park (“Different but Equal? A Field Experiment on the Impact of Recommendation Systems on Mobile and Personal Computer Channels in Retail”) is an assistant professor in the Department of Management Engineering at Korea Advanced Institute of Science and Technology (KAIST). He received a BS in applied mathematics from KAIST and a PhD in management engineering from the KAIST College of Business. His research interests include business intelligence, recommender systems, and artificial intelligence. His papers have been published or accepted in MIS Quarterly and Information Systems Research, among others.
Sungho Park (“When Loyalty Goes Mobile: Effects of Mobile Loyalty Apps on Purchase, Redemption, and Competition”) is an associate professor of marketing in the W. P. Carey School of Business, Arizona State University. He is interested in studying consumers' shopping behaviors in various retail settings. Currently, he is studying consumers' mobile applications and digital goods usage behaviors. He has published papers in premier academic journals, such as Journal of Marketing Research, Marketing Science, Management Science, Journal of Marketing, and MIS Quarterly.
Paul A. Pavlou (“Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems”) is the Dean of C.T. Bauer College of Business and the Cullen Distinguished Chair of Information Sciences at University of Houston. He received his PhD from University of Southern California. He is a senior editor at Information Systems Research. His research appeared in MIS Quarterly and Information Systems Research, among others. He was ranked #1 worldwide in publications in two top information systems journals (MIS Quarterly and ISR) during 2010-2016. His research has been cited over 42,000 times by Google Scholar. He was recognized among the “World's Most Influential Scientific Minds” by Thomson Reuters.
Chih-Hung Peng (“More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective”) is an assistant professor of management information systems at the College of Commerce, National Chengchi University, Taiwan. He received his PhD in information technology management from the Georgia Institute of Technology in 2012. His research interests focus on team decision making, social media, e-commerce, and organizational innovation. His research has appeared in Information Systems Research.
Xixian Peng (“Developing and Testing a Theoretical Path Model of Web Page Impression Formation and Its Consequence”) is an assistant professor in the Department of Data Science and Engineering Management, School of Management, Zhejiang University. He obtained his PhD from the Department of Information Systems and Analytics, National University of Singapore. His research interests include human-computer interaction, M-commerce, and neuroIS. His work has appeared in journals such as Journal of the Association for Information Science and Technology and leading IS conferences.
Christian Peukert (“Video Killed the Radio Star? Online Music Videos and Recorded Music Sales”) is an assistant professor of information systems at Católica Lisbon School of Business and Economics and a senior research associate at the Center of Law and Economics at ETH Zürich. He holds a PhD in management and economics from the University of Munich. His research focuses on how digitization and data-driven innovation affect consumers, firms, and markets, with an emphasis on copyright policy. He has published in top strategic management and information systems journals.
Jella Pfeiffer (“Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments”) is a professor of digitalization, e-business, and operations management at the Justus Liebig University Giessen, Germany. Her research focuses on intelligent user assistance systems in e-commerce and VR commerce, eye tracking, sustainability research, and experimental research. She has published in Journal of Management Information Systems, Journal of the Association for Information Systems, and Journal of Behavioral Decision Making, among others.
Thies Pfeiffer (“Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments”) is a professor of human-computer interaction at the University of Applied Sciences Emden/Leer. He was previously the technical director of the Virtual Reality Laboratory at the Center of Excellence Cognitive Interaction Technology and the Immersive Media Laboratory at the Faculty of Technology, Bielefeld University. In his research, he uses mixed reality technology and eye tracking to create new kinds of mixed reality training and assistance systems.
Fei Ren (“Optimizing Two-Sided Promotion for Transportation Network Companies: A Structural Model with Conditional Bayesian Learning”) is a professor of information systems at Guanghua School of Management, Peking University. She received her PhD from the University of California, Irvine. Her research interests include the business value of information technology, e-commerce, social media marketing, and user online behavior. Her work has appeared in journals such as Information Systems Research and Journal of Management Information Systems.
Huaxia Rui (“Does Telemedicine Reduce Emergency Room Congestion? Evidence from New York State”) is an associate professor at the Simon Business School, University of Rochester. He is broadly interested in data science and the economics of information systems. He has published in leading academic journals such as Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Management Science, Production and Operations Management, Journal of Financial Economics, and Journal of Mathematical Economics.
Amitabh Sinha (“Data-Driven Promotion Planning for Paid Mobile Applications”) is in the Modeling and Optimization group at Amazon. He works on several areas in the optimization and data science space, primarily in the context of network optimization of Amazon’s outbound supply chain. Before joining Amazon in 2017, he was on the faculty of the Ross School of Business, University of Michigan. He received his PhD in algorithms, combinatorics and optimization from the Tepper School of Business, Carnegie Mellon University.
Olga Slivko (“Unemployment and Digital Public Goods Contribution”) is a postdoctoral researcher in the Department of Digital Economy, ZEW–Leibniz Centre for European Economic Research. She received her PhD in economics from the Rovira i Virgili University in 2012. Her research focuses on economics of innovation and digitization—specifically, on the mechanisms promoting participation of individuals on digital platforms, and on the economic and managerial implications of digital platforms. Her previous work was published in Journal of Economics.
Michael D. Smith (“A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?”) is the J. Erik Jonsson Professor of Information Technology and Marketing at Heinz College, Carnegie Mellon University. His research specializes in entertainment analytics and marketing, and he is a coauthor of the book Streaming, Sharing, Stealing: Big Data and the Future of Entertainment (MIT Press, September 2016).
Yoonseock Son (“When Loyalty Goes Mobile: Effects of Mobile Loyalty Apps on Purchase, Redemption, and Competition”) is a PhD candidate in information systems at Korea Advanced Institute of Science and Technology. His research interests include economics of information systems, mobile strategy, artificial intelligence business strategies, and omnichannel marketing. His work has been published in Journal of Operations Management. He has also presented his work at the International Conference on Information Systems and the Conference on Information Systems and Technology.
Chelliah Sriskandarajah (“A Switch in Time Saves the Dime: A Model to Reduce Rental Cost in Cloud Computing”) is a professor of operations management and holds the Hugh Roy Cullen Chair at the Mays Business School, Texas A&M University. His research interests lie in the general area of supply chain management, logistics, production planning and scheduling, and performance evaluation of production/service systems.
Shujing Sun (“Does Telemedicine Reduce Emergency Room Congestion? Evidence from New York State”) is a PhD candidate in information systems at the Simon Business School, University of Rochester. Her research interests center around the economics of technological innovations, with a current focus on healthcare information technology and social media analytics. Her research is grounded in interdisciplinary approaches that include causal inference and probabilistic modeling, along with applied machine learning and natural language processing techniques.
Yong Tan (“Optimizing Two-Sided Promotion for Transportation Network Companies: A Structural Model with Conditional Bayesian Learning,” “When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding”, “Cloud Services vs. On-Premises Software: Competition Under Security Risk and Product Customization”) 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 electronic, mobile, and social commerce; economics of information systems; social and economic networks; and health IT. He has published in Information Systems Research, Management Science, and MIS Quarterly, among others. He is a senior editor of Information Systems Research.
Shaojie Tang (“A Switch in Time Saves the Dime: A Model to Reduce Rental Cost in Cloud Computing”) is an assistant professor of information systems in the Naveen Jindal School of Management, University of Texas at Dallas. His research interest includes social media advertising, optimization, and game theory.
Hock-Hai Teo (“Developing and Testing a Theoretical Path Model of Web Page Impression Formation and Its Consequence”) is the Provost's Chair Professor in the Department of Information Systems and Analytics, School of Computing, National University of Singapore. He holds a PhD in information systems from the National University of Singapore and is a Fellow of the AIS. His current research interests include healthcare internet of things, IT innovation assimilation and IT-enabled education. He has published broadly in top journals, including MIS Quarterly, Information Systems Research, and others.
G. Alan Wang (“Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis”) is an associate professor in business information technology at Pamplin College of Business, Virginia Tech. He received his PhD from the University of Arizona. His research interests include text mining, data mining, social media analytics, business intelligence, design science, and security informatics. He has published more than 40 articles in journals including Production and Operations Management, Decision Support Systems, and Journal of Management Information Systems.
Xinwei Wang (“Developing and Testing a Theoretical Path Model of Web Page Impression Formation and Its Consequence”) is a senior lecturer at the Department of Information Systems and Operations Management, University of Auckland. She obtained her PhD from the National University of Singapore. Her research interests include human cognition and behavior in complex digital environments and IT/IS innovations. Her research has appeared in journals such as Information & Management, Journal of the Association for Information Science and Technology, and leading international IS conferences.
Elisa Weiß (“Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments”) is head of R&D excellence at the research and development department for Camera Systems at ARRI AG, a global company within the motion picture media industry. She obtained her master’s degree in engineering and management at the Karlsruhe Institute of Technology. She focused her studies on digitalization, information systems, and the service industry.
Andrew B. Whinston (“Matching Mobile Applications for Cross-Promotion”) is the Hugh Cullen Chair Professor in the Department of Information, Risk, and Operation Management at the McCombs School of Business, University of Texas at Austin. He is also the director at the Center for Research in Electronic Commerce. He has published over 300 papers in major economic and management journals and has coauthored 27 books. His Erdös number is two.
Xiangbin Yan (“When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding”) is a professor of management science and engineering and the dean at the Donlinks School of Economics and Management, University of Science and Technology Beijing. He received his PhD from the School of Management, Harbin Institute of Technology. His research interests include electronic commerce, social media analytics, crowdfunding, social network analysis, and business intelligence. His research has been published in journals such as Production and Operations Management and Journal of Management Information Systems.
Xuhong Ye (“Developing and Testing a Theoretical Path Model of Web Page Impression Formation and Its Consequence”) is an associate professor of information systems in the School of Management, Zhejiang University of Technology, China. She received a PhD in management from Zhejiang University. She was a visiting scholar in National University of Singapore. Her research interests focus on information technology management, human-computer interaction, and neuroIS. Her articles are published in Journal of Business Research, Pacific Asia Conference on Information Systems, and among others.
Dezhi Yin (“More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective”) is an assistant professor of information systems and decision sciences at the Muma College of Business, University of South Florida. He received his PhD in information technology management from the Georgia Institute of Technology in 2012. His research interests include user-generated content (e.g., online reviews, crowdfunding, question-and-answer sites), emotional expression in online communication, and cognitive biases in human-computer interaction. His research has appeared in MIS Quarterly, Information Systems Research, Journal of Marketing Research, and Academy of Management Journal.
Han Zhang (“More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective”) is a professor of information technology management at the Scheller College of Business, Georgia Institute of Technology. He received his PhD in information systems from the University of Texas at Austin in 2000. His research focuses on online trust and reputation-related issues, online word-of-mouth, and the evolution of electronic markets. He has published in MIS Quarterly, Information Systems Research, Journal of Marketing Research, Journal of Management Information Systems, Decision Support Systems, and other academic journals.
Xiaoquan (Michael) Zhang (“Unemployment and Digital Public Goods Contribution”) is a professor and associate dean of innovation and impact at CUHK Business School, Chinese University of Hong Kong. His research examines business artificial intelligence, online advertising, innovation and incentives, financial technologies, and other effects of information technologies on business strategies. He has a PhD in management from the MIT Sloan School of Management.
Zan Zhang (“Cloud Services vs. On-Premises Software: Competition Under Security Risk and Product Customization”) is a postdoctoral student at the School of Economics and Management, Beihang University. She received her PhD from the College of Management and Economics, Tianjin University. Her research interests include economics of information systems, network economics, and e-commerce. Her papers have appeared in Journal of Management Information Systems, Information Sciences, and International Journal of Production Research, among several other journals.
Zhongju Zhang (“Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis”) is a professor of information systems at the W. P. Carey School of Business, Arizona State University. His research focuses on how information technology and data analytics affect consumer behavior, create business value, and transform business models. His work has appeared in Information Systems Research, MIS Quarterly, Production and Operations Management, and Journal of Management Information Systems. He has won the Research Excellence and MBA Teacher of the Year awards.
Jinyang Zheng (“Optimizing Two-Sided Promotion for Transportation Network Companies: A Structural Model with Conditional Bayesian Learning”) is an assistant professor of management at Krannert School of Management, Purdue University. His research applies microeconometrics, causal inference, and machine learning to quantitatively investigate the transformative impact of information technology in transportation network, online two-sided market, mobile commerce, social media, and user-generated content. He received his bachelor’s degree in statistics from Fudan University in 2013 and his PhD in business administration from the University of Washington, Seattle in 2017.
