About Our Authors
Ahmed Abbasi (“Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers”) is the Joe and Jane Giovanini Professor of IT, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame. He serves as director of the Analytics PhD program and co-director of the Human-centered Analytics Lab.
Raha Akhavan-Tabatabaei (“Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management”) is professor of operations management and business analytics at Sabanci Business School. She obtained her PhD degree in industrial engineering at North Carolina State University in 2011. Her research interest is modeling and analysis of systems and operations under uncertainty, with applications in disaster management, humanitarian supply chains, healthcare systems, production and logistics. She serves on the editorial board of Journal of Business Analytics.
Manmohan Aseri (“Should an Ad Agency Offer Geoconquesting or Protection from It?”) is an assistant professor at Katz Graduate School of Business, University of Pittsburgh. He completed his PhD in information systems from Naveen Jindal School of Management, The University of Texas at Dallas, in 2018.
Huseyin Cavusoglu (“Strategic Implications of Online Retail Platforms’ Membership-Based Free Shipping Programs”) is a professor of information systems at The University of Texas at Dallas.
Bintong Chen (“Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model”) received shipbuilding/naval architecture and electrical engineering degrees from Shanghai Jiaotong University. He received an MS in systems engineering and a PhD in operations management/research from the Wharton School, University of Pennsylvania. He is a professor at the Lerner College of Business and Economics and the director of the Institute for Financial Services Analytics, University of Delaware. He conducts research in optimization, data science, and business applications.
Gang Chen (“Attending to Customer Attention: A Novel Deep Learning Method for Leveraging Multimodal Online Reviews to Enhance Sales Prediction”) is an assistant professor of data science and management engineering at the School of Management, Zhejiang University. He received his PhD degree in information systems from Fudan University. His research interests include multimodal business data analytics and multimodal deep learning. His work has appeared in such journals as MIS Quarterly, Information Systems Research, Decision Support Systems, IEEE Intelligent Systems, and Electronic Commerce Research and Applications.
Guoqing Chen (“When the Clock Strikes: A Multimethod Investigation of On-the-Hour Effects in Online Learning”) received his PhD from the Catholic University of Leuven (Belgium) and currently is a University Distinguished Professor at Tsinghua University. He is an Association for Information Systems Fellow and served as the founding president of the China Association for Information Systems in 2005–2013. His recent research and teaching interests include management information systems, business analytics and decision support, e-business, etc.
Rui Chen (“A Computational Framework for Understanding Firm Communication During Disasters”) is a professor in the Department of Information Systems and Business Analytics at the Ivy College of Business, Iowa State University. He received his PhD in management science and systems from the State University of New York at Buffalo. His research focuses on artificial intelligence, cybersecurity, information privacy, extreme event management, and social media. He has received multiple awards, as a principal investigator, from funding agencies such as the National Science Foundation.
Robin Dillon (“Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers”) is a professor of operations and analytics at the McDonough School of Business at Georgetown University. From 2017 to 2019, she was the program director for Humans, Disasters, and the Built Environment in the National Science Foundation Engineering Division.
Angelika Dimoka (“Uncovering the Neural Processes of Privacy: A Neurally Informed Behavioral Intervention to protect Information Privacy”) is a professor at the Department of Decision and Information Sciences, C.T. Bauer College of Business, University of Houston. She holds a PhD from the Viterbi School of Engineering (major in neuroscience) with a minor from the Marshall School of Business at the University of Southern California. Her research interests lie in decision neuroscience with emphasis on functional neuroimaging in marketing (neuromarketing), IS (NeuroIS), and electronic commerce.
Xiao Fang (“Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model”) is a professor of management information systems and a JPMorgan Chase Senior Fellow at Lerner College of Business & Economics and the Institute for Financial Services Analytics, University of Delaware. His current research focuses on financial technology, social network analytics, and healthcare analytics. He has published in journals such as Information Systems Research, Management Science, MIS Quarterly, Operations Research, and IEEE Transactions on Knowledge and Data Engineering.
Hossein Ghasemkhani (“The Impact of Online Q&As on Product Sales: The Case of Amazon Answer”) is an assistant professor of management at Krannert School of Management, Purdue University. Before joining Purdue, he was a postdoctoral associate at the MIT Sloan Initiative on Digital Economy. His research focuses on new technologies and the tangible and intangible ways these technologies impact individuals and organizations. He earned his PhD in business administration from the Foster School of Business at the University of Washington in 2013.
Anindya Ghose (“Leveraging the Digital Tracing Alert in Virus Fight: The Impact of COVID-19 Cell Broadcast on Population Movement”, “Mobile Payment Adoption: An Empirical Investigation of Alipay”) is the Heinz Riehl Chair Professor of Technology and Marketing at the New York University Stern School of Business. He is the author of TAP: Unlocking the Mobile Economy, which is a double winner in the 2018 Axiom Business Book Awards. 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.
Camilo Gomez (“Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management”) is an associate professor of industrial engineering at the Universidad de los Andes (Colombia). He received his PhD from Universidad de los Andes and worked as a researcher at Rice University and Stanford University. His focus is on decision support systems and applications of stochastic optimization.
Sthefania Grajales (“Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management”) is currently a PhD student at Universitat Politècnica de Catalunya, working on a probabilistic wildfire risk assessment model for the wildland-urban interface. She holds an MS in hydraulic resources and a specialist degree in hydraulic engineering and environment from the Universidad Nacional de Colombia.
Bin Gu (“Resilience Messaging: The Effect of Governors’ Social Media Communications on Community Compliance During a Public Health Crisis”) is Everett W. Lord Distinguished Faculty Scholar, professor, and department chair at Questrom School of Business at Boston University. His research interests are in using artificial intelligence and information technologies to improve decision making and address information asymmetry in businesses and societies. He is an expert on social media, digital platforms, and societal/business value of data analytics and artificial intelligence.
Xue Guo (“Uncovering the Neural Processes of Privacy: A Neurally Informed Behavioral Intervention to Protect Information Privacy”) is a tenure-track assistant professor at the Belk College of Business, University of North Carolina at Charlotte. She holds a PhD in management information systems (MIS) from Temple University and a master’s degree in MIS from the University of Maryland, College Park. Her research interests include digital labor markets, IT human capital, two-sided online markets, and information privacy. Her research uses methodologies including econometrics, machine learning, text analysis, and lab experiment.
Xunhua Guo (“When the Clock Strikes: A Multimethod Investigation of On-the-Hour Effects in Online Learning”) is a professor at the School of Economics and Management, Tsinghua University. He received his PhD from Tsinghua University. His research interests are in the areas of design and management of information systems, electronic commerce, digital platforms and social networks, and business intelligence. His research work has been published in journals such as MIS Quarterly, INFORMS Journal on Computing, and ACM Transactions on Knowledge Discovery from Data.
Alok Gupta (“Smart Markets for Real-Time Allocation of Multiproduct Resources: The Case of Shared Electric Vehicles”) is Curtis L. Carlson Schoolwide Chair in Information Management; he also serves as the senior associate dean for faculty, research, and administration. He has received numerous awards such as prestigious National Science Foundation CAREER Award, INFORMS Information Systems Society Distinguished Fellow, and Association for Information Systems Fellow. Many of his articles have won best paper awards from Association for Information Systems, Information Systems Research, and Journal of the Association for Information Systems.
Yili Hong (“When the Clock Strikes: A Multimethod Investigation of On-the-Hour Effects in Online Learning”) is a professor and Miami Herbert Centennial Endowed Chair at the Miami Herbert Business School, University of Miami. His research interests are in the areas of future of work, digital platforms, digital media, and human-artificial intelligence interactions. His research work has been published in journals such as Management Science, MIS Quarterly, Information Systems Research, Production and Operations Management, and INFORMS Journal on Computing.
Lihua Huang (“Attending to Customer Attention: A Novel Deep Learning Method for Leveraging Multimodal Online Reviews to Enhance Sales Prediction”) is a professor of information management and business intelligence at the School of Management, Fudan University. She received her PhD degree in management science from Fudan University. Her current research focuses on enterprise information systems, electronic commerce, and information technology acceptance. Her work has appeared in such journals as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and Decision Support Systems.
Ni Huang (“When the Clock Strikes: A Multimethod Investigation of On-the-Hour Effects in Online Learning”) is an associate professor at the Miami Herbert Business School, University of Miami. Her research focuses on understanding how digital technology can enhance user experiences and improve business outcomes. Her research work has been published in journals such as Management Science, MIS Quarterly, Information Systems Research, and Production and Operations Management.
Tarun Jain (“Peer Influence and IT Career Choice”) is an associate professor of economics at the Indian Institute of Management Ahmedabad, where he serves as the chair of the Economics Area and the Centre for Management of Health Services. His research focuses on understanding causes and consequences of human capital formation (for instance, with education and health), especially in the context of fast-growing developing countries. He earned a PhD in economics from the University of Virginia in 2009.
Cheng Jiang (“Seek and Ye Shall Find: An Empirical Examination of the Effects of Seeking Real-Time Feedback on Employee Performance Evaluations”) is an assistant professor of the practice in the Finance Department of the Carroll School of Management at Boston College. Before he joined Boston College, he was in the faculty at Fox School of Business of Temple University. His current research focuses on corporate feedback information systems, corporate finance, and data analytics.
Micha Kahlen (“Smart Markets for Real-Time Allocation of Multiproduct Resources: The Case of Shared Electric Vehicles”) works at Ford Motor Company leading a team of 13 engineers who steer software teams to develop connected vehicle features. He received his PhD from Erasmus University Rotterdam. During his PhD, he was also a visiting researcher at the University of California Berkeley. His research was awarded a Siebel Energy Institute Seed Grant and won the European Energy Exchange Excellence Award.
Karthik Kannan (“The Impact of Online Q&As on Product Sales: The Case of Amazon Answer”) is Halle chair of leadership and the dean of Eller College of Management, University of Arizona. His research interests include studying digital transformation, analyzing digital traces for managerial insights, and investigating the issues related to the nature of future work. He received his PhD in information systems from Carnegie Mellon University in 2003.
Elena Karahanna (“Direct Communication and Two-Sided Matching Quality on a Digital Platform: A Perspective of Choice Based on Consideration Set”) is Distinguished Research Professor and Terry Distinguished Chair at the University of Georgia. She published in top journals such as Information Systems Research, Management Science, and MIS Quarterly, has served as senior editor at MIS Quarterly and Information Systems Research, and serves as associate editor at Management Science. She is an Association for Information Systems (AIS) Fellow, INFORMS Information Systems Society Distinguished Fellow, and AIS LEO Award recipient.
Wolfgang Ketter (“Smart Markets for Real-Time Allocation of Multiproduct Resources: The Case of Shared Electric Vehicles”) is a professor of information systems and the director of the Cologne Institute of Information Systems at the University of Cologne, focusing on how digital transformation can facilitate the transition to sustainable energy and mobility. He is also professor and director at Erasmus University and energy policy advisor to the German government. He has served as editor for Information Systems Research and MIS Quarterly and won the best Information Systems Research paper award for the year 2020.
Warut Khern-am-nuai (“The Impact of Online Q&As on Product Sales: The Case of Amazon Answer”) is an associate professor of information systems at Desautels Faculty of Management, McGill University. His research interests include platform for online marketplaces, predictive analytics, and management information security. He received his PhD in management information systems from Krannert School of Management, Purdue University in 2016. His research has appeared in numerous journals, including Management Science, Information Systems Research, and MIS Quarterly.
Subodha Kumar (“Seek and Ye Shall Find: An Empirical Examination of the Effects of Seeking Real-Time Feedback on Employee Performance Evaluations”) is distinguished chair professor and founding director of Center for Business Analytics and Disruptive Technologies at Fox School of Business. He is a board member for many organizations. He has published more than 230 articles in journals/referred conferences, two books, and many chapters/cases. He is deputy editor of Production and Operations Management and founding executive editor of Management and Business Review. He holds a robotics patent and is routinely cited in the media.
Nishtha Langer (“Peer Influence and IT Career Choice”) is an associate professor of business analytics at the Lally School of Management, Rensselaer Polytechnic Institute. Her research examines the economics of information technology (IT) human capital, including biases in IT labor markets, and the societal and business value of IT. She has a PhD in information systems from the Tepper School of Business, Carnegie Mellon University.
Heeseung Andrew Lee (“Leveraging the Digital Tracing Alert in Virus Fight: The Impact of COVID-19 Cell Broadcast on Population Movement”) is an assistant professor of information systems in Jindal School of Management at The University of Texas at Dallas. His research interests include the economics of information systems, artificial intelligence and human collaboration, digital content consumption, and digital marketing. His research has been published in premier journals, including Information Systems Research and Journal of Marketing Research.
Kyuhan Lee (“Explainable Deep Learning for False Information Identification: An Argumentation Theory Approach”) is an assistant professor at Korea University Business School, where he focuses on advancing the field of machine learning and natural language processing in multiple downstream applications, including fake news detection and hate speech moderation. He received his PhD from the University of Arizona in 2021. His research contributions have been recognized and published in prestigious academic journals and renowned conferences.
Xiaolin Li (“A Computational Framework for Understanding Firm Communication During Disasters”) is a professor of business analytics and technology management at Towson University. His recent research focuses are social media analysis on user sentiment, engagement, and purchase behavior and sustainable supply chains. His research has been published in Information Systems Research, Journal of the Association for Information Systems, Decision Sciences, Information & Management, and the International Journal of Production Economics, among others.
Xin Li (“Smart Natural Disaster Relief: Assisting Victims with Artificial Intelligence in Lending”) is a professor in the Department of Information Systems at the City University of Hong Kong. He received his PhD in management from the University of Arizona and BE and ME from Tsinghua University. His research interests include the digital economy, machine learning, network analysis, and applied econometrics. His research has appeared in MIS Quarterly, Information Systems Research, the Journal of MIS, and the INFORMS Journal on Computing, among others.
Lihui Lin (“When the Clock Strikes: A Multimethod Investigation of On-the-Hour Effects in Online Learning”) is an associate professor at the School of Economics and Management, Tsinghua University. She received her PhD from The University of Texas at Austin. Her research interests are in the areas of electronic commerce, online healthcare communities, knowledge management, and crowdsourcing. Her research work has been published in journals such as Management Science, MIS Quarterly, and Journal of Management Information Systems.
Yu-Kai Lin (“The Scope of Software Patent Protection in the Digital Age: Evidence from Alice”) is an assistant professor of computer information systems at the Robinson College of Business, Georgia State University. He received his PhD from the Eller College of Management at the University of Arizona. He studies a broad range of topics, including digitalization, open innovation, intellectual property, health information technology, and business analytics.
Yidi Liu (“Smart Natural Disaster Relief: Assisting Victims with Artificial Intelligence in Lending”) is an assistant professor of information systems at School of Management and Economics of the Chinese University of Hong Kong, Shenzhen. He received his PhD in information systems from the City University of Hong Kong, and a bachelor’s degree in logistics management from Huazhong University of Science and Technology. His research interest covers digital economy, artificial intelligence, fintech, and network analysis.
Feng Mai (“A Computational Framework for Understanding Firm Communication During Disasters”) is an associate professor and area coordinator of information management & analytics at Stevens Institute of Technology. His research focuses on information extraction with applications in fintech and online communities. He received his PhD from the University of Cincinnati. He has published in journals such as the Journal of Management Information Systems, Journal of Operations Management, and Review of Financial Studies. He received several best paper awards, including the EURO Award for the Best European Journal of Operational Research Paper.
Andrés L. Medaglia (“Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management”) is professor of industrial engineering at the Universidad de los Andes (Colombia) and director of Centro para la Optimización y Probabilidad Aplicada (COPA). He received his PhD in operations research from North Carolina State University. His research focuses on development and application of optimization techniques to transportation and logistics, sustainable cities, and agricultural systems. He serves on the editorial boards of Transportation Science, Computers & Operations Research, and TOP.
Amit Mehra (“Should an Ad Agency Offer Geoconquesting or Protection from It?”) is a professor of information systems at the Naveen Jindal School of Management, The University of Texas at Dallas. He completed his PhD from the University of Rochester in 2006.
Vijay Mookerjee (“Should an Ad Agency Offer Geoconquesting or Protection from It?”) is the Charles and Nancy Davidson chair professor of information systems at the Naveen Jindal School of Management, The University of Texas at Dallas. He completed his PhD from Purdue University in 1991.
Reza Mousavi (“Resilience Messaging: The Effect of Governors’ Social Media Communications on Community Compliance During a Public Health Crisis”) is an assistant professor at McIntire School of Commerce at the University of Virginia. He has expertise in artificial intelligence (AI), deep learning, large language models, natural language processing, and business analytics. He studies the societal impacts and economics of social media, AI and business analytics, user-generated content, and healthcare information systems.
Wonseok Oh (“Leveraging the Digital Tracing Alert in Virus Fight: The Impact of COVID-19 Cell Broadcast on Population Movement”) is the K.C.B. Chair Professor in the College of Business at Korea Advanced Institute of Science and Technology (KAIST). His research interests include the economics of information systems, artificial intelligence business strategy, mobile strategy, and digital marketing. His research has been published in Information Systems Research, MIS Quarterly, Management Science, Journal of Management Information Systems, and Production and Operations Management.
Sujin Park (“Transporting Causal Effects Across Populations Using Structural Causal Modeling: An Illustration to Work-from-Home Productivity”) is a PhD student in management information systems at the Department of Information and Decision Sciences at the University of Illinois at Chicago. She earned her master’s degree in operation management and management science at Inha University in South Korea. Her research interests include causal inference methods, the generalization of studies across different settings and conditions, and social networks.
Paul A. Pavlou (“Uncovering the Neural Processes of Privacy: A Neurally Informed Behavioral Intervention to Protect Information Privacy”) is the dean of the C. T. Bauer College of Business at the University of Houston. He is also a Cullen Distinguished Chair Professor of Information Sciences. He received his PhD from the University of Southern California. His research spans several disciplines (information systems, marketing, strategy, operations, decision sciences) with emphasis on data science, analytics, artificial intelligence, digital business strategy, and research methods.
Alfonso Pedraza-Martinez (“Speak with One Voice? Examining Content Coordination and Social Media Engagement During Disasters”) is a professor of information technology, analytics, and operations at the Mendoza College of Business, University of Notre Dame. His research centers on humanitarian operations and disaster management. He has a PhD in operations management from INSEAD, France.
Dandan Qiao (“The Impact of Online Q&As on Product Sales: The Case of Amazon Answer”) is an assistant professor in the Department of Information Systems and Analytics at National University of Singapore. She received her PhD from Tsinghua University and was a research scholar at The University of Texas at Austin. Her research interests mainly focus on online crowd wisdom, economics of information platforms, and user-generated content analytics. Her work has been published in Information Systems Research, MIS Quarterly, and Journal of Management Information Systems, among others.
Liangfei Qiu (“Informal Payments and Doctor Engagement in an Online Health Community: An Empirical Investigation Using Generalized Synthetic Control”) is the PricewaterhouseCoopers Associate Professor and University of Florida Research Foundation Professor in the Department of Information Systems and Operations Management at the Warrington College of Business, University of Florida. He received his PhD from The 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.
Srinivasan Raghunathan (“Strategic Implications of Online Retail Platforms’ Membership-Based Free Shipping Programs”) is the Ashbel Smith Professor of Information Systems at The University of Texas at Dallas.
Arun Rai (“The Scope of Software Patent Protection in the Digital Age: Evidence from Alice”) is the Regents’ Professor of the University System of Georgia and holds the Howard S. Starks Distinguished Chair at the Robinson College of Business at Georgia State University. He is the director and cofounder of the Center for Digital Innovation. He served as the editor-in-chief for MIS Quarterly from 2016 to 2020 and received the LEO Award from the Association for Information Systems for lifetime exceptional contributions to the information systems discipline.
Sudha Ram (“Explainable Deep Learning for False Information Identification: An Argumentation Theory Approach”) is the Anheuser-Busch Endowed Professor of Management Information Systems, Eller College of Management, University of Arizona. Her research is in network science, prediction modeling, machine learning, and big data analytics. Her work uses different methods, such as machine learning, statistical approaches, ontologies, and conceptual modeling. She has published in Communications of the ACM, IEEE Intelligent Systems, Information Systems Research, Management Science, and MIS Quarterly.
H. Raghav Rao (“Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers”) is a professor of information systems and cyber security in the Alvarez College of Business at The University of Texas at San Antonio (UTSA). He also has a courtesy appointment in computer science at UTSA.
Crystal Reeck (“Uncovering the Neural Processes of Privacy: A Neurally Informed Behavioral Intervention to Protect Information Privacy”) is a tenure-track assistant professor at the Fox School of Business, Temple University. She holds a PhD in psychology and neuroscience from Duke University. Her research examines how emotions influence decision making and how different strategies and ways of thinking help people manage that influence. Her research interests include consumer behavior, emotion regulation and decision making.
Michael Rivera (“Seek and Ye Shall Find: An Empirical Examination of the Effects of Seeking Real-Time Feedback on Employee Performance Evaluations”) is an associate professor of strategy and entrepreneurship in the Department of Management, Fox School of Business, Temple University. He received his PhD from Purdue University. His current research focuses on real-time feedback, digital leadership, and digital transformation.
Karsten Schroer (“Smart Markets for Real-Time Allocation of Multiproduct Resources: The Case of Shared Electric Vehicles”) is a PhD researcher in information systems at the University of Cologne. He holds degrees in industrial engineering from Cambridge University and in mechanical engineering from the University of Birmingham. He has extensive industry experience at leading management consultancies. His research interests lie in the application of analytics and algorithms to understanding and resolving societal challenges. He especially focuses on issues in sustainable energy and transport.
Olivia R. Liu Sheng (“Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers”) is a W.P. Carey Distinguished Chair and professor of information systems with the W.P. Carey School of Business, Arizona State University.
Galit Shmueli (“Transporting Causal Effects Across Populations Using Structural Causal Modeling: An Illustration to Work-from-Home Productivity”) is the Tsing Hua Distinguished Professor at the Institute of Service Science, College of Technology Management, National Tsing Hua University, Taiwan. She holds a PhD from the Technion–Israel Institute of Technology. Her research focuses on statistical and machine learning methodology with applications in information systems and healthcare and an emphasis on human behavior.
Yoonseock Son (“Leveraging the Digital Tracing Alert in Virus Fight: The Impact of COVID-19 Cell Broadcast on Population Movement”) is an assistant professor of information technology (IT), analytics, and operations at the Medoza College of Business, University of Notre Dame. His research interests include economics of information systems, digital analytics, digital platforms, IT and sustainability, and diversity, equity, and inclusion. His research has been published in Information Systems Research, MIS Quarterly, Journal of Management Information Systems, and Journal of Operations Management.
Peijian Song (“Direct Communication and Two-Sided Matching Quality on a Digital Platform: A Perspective of Choice Based on Consideration Set”) is a professor in the Department of Marketing and Electronic Business, School of Business, Nanjing University. His research interests are digital platform management, electronic business, and information technology innovation. His work has been published in MIS Quarterly, Information Systems Research, Production and Operations Management, Decision Support Systems, IEEE Transactions on Engineering Management, Information & Management, and International Journal of Electronic Commerce.
Daniel Suarez (“Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management”) graduated with an MSc in industrial engineering from the Universidad de los Andes and a BSc from the Universidad Nacional de Colombia.
Geng Sun (“Strategic Implications of Online Retail Platforms’ Membership-Based Free Shipping Programs”) is an assistant professor of information systems at The University of Texas Rio Grande Valley.
Ali Tafti (“Transporting Causal Effects Across Populations Using Structural Causal Modeling: An Illustration to Work-from-Home Productivity”) is an associate professor and interim department head of information and decision sciences in the College of Business Administration at the University of Illinois at Chicago. He completed his PhD at the University of Michigan. His research interests include the economic and strategic impacts of information technology investment, social and collaborative networks, and causal inference methods. He was recognized as an outstanding associate editor for the journal MIS Quarterly in 2021.
Lingli Wang (“When the Clock Strikes: A Multimethod Investigation of On-the-Hour Effects in Online Learning”) is an assistant professor at the School of Modern Post, Beijing University of Posts and Telecommunications. She received her PhD from Tsinghua University. Her research interests include human-artificial intelligence interactions, live-streaming selling, and online learning. Her research work has been published in journals such as Production and Operations Management and ACM Transactions on Computer-Human Interaction.
Qili Wang (“Informal Payments and Doctor Engagement in an Online Health Community: An Empirical Investigation Using Generalized Synthetic Control”) is a PhD student in the Department of Information Systems and Operations Management at the Warrington College of Business, University of Florida. His current research interests include economics of information systems, fintech, online communities, data science, and artificial intelligence. He has published research papers in international journals and conferences, including Information Sciences, Neurocomputing, Geoinformatica, Annals of Operations Research, and Electronic Commerce Research and Applications.
Chaojiang Wu (“A Computational Framework for Understanding Firm Communication During Disasters”) is an associate professor in the Department of Information Systems and Business Analytics at the Ambassador Crawford College of Business and Entrepreneurship, Kent State University. He received his PhD from the University of Cincinnati. His research interests include the activities and impact of online media, mobility and productivity of knowledge-intensive workers, and statistical modeling. His work has appeared in the Journal of Financial and Quantitative Analysis, IISE Transactions, Information and Management, and Scientometrics, among others.
Binqing Xiao (“Mobile Payment Adoption: An Empirical Investigation of Alipay”) is a professor at the school of management and engineering of Nanjing University in China.
Shuaiyong Xiao (“Attending to Customer Attention: A Novel Deep Learning Method for Leveraging Multimodal Online Reviews to Enhance Sales Prediction”) is a postdoctoral student at the School of Economics and Management, Tongji University. He received his PhD degree in information systems from Fudan University. His research interests include social media data analytics and multimodal deep learning. His work has appeared in such journals as Information Systems Research, Expert Systems with Applications, and Electronic Commerce Research and Applications.
Heng Xu (“Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning”) is a professor of information technology and analytics at Kogod School of Business, American University in Washington, DC, where she also directs the Kogod Cyber Governance Center. Before joining Kogod in 2018, she served as a faculty member at Penn State for 12 years and a program director at the National Science Foundation for three years. Her research focuses on information privacy, data analytics, data ethics, and cybersecurity management.
Hong Xu (“Should an Ad Agency Offer Geoconquesting or Protection from It?”) is an associate professor at the Business School, Hong Kong University of Science and Technology. She completed her PhD in information systems from The University of Texas at Austin in 2010.
Wei Xu (“Informal Payments and Doctor Engagement in an Online Health Community: An Empirical Investigation Using Generalized Synthetic Control”) is a professor at the School of Information, Renmin University of China. He received his bachelor and master degrees in mathematics at Xi’an Jiaotong University and doctoral degree in management science at the Chinese Academy of Sciences. His research interests include big data analytics, business intelligence, and decision support systems. He has published over 90 research papers in international journals and conferences, including Decision Support Systems, Electronic Commerce Research, and Production and Operations Management.
Yuqian Xu (“Mobile Payment Adoption: An Empirical Investigation of Alipay”) is an assistant professor of operations at the Kenan-Flagler Business School, University of North Carolina–Chapel Hill. Her research studies operations in digital platforms and financial services with a particular focus on (i) leveraging empirical methods with causal inference to understand worker behaviors and (ii) building stochastic control models to improve operational outcomes.
Ling Xue (“Direct Communication and Two-Sided Matching Quality on a Digital Platform: A Perspective of Choice Based on Consideration Set”) is an associate professor of management information systems at the University of Georgia. His research interests include corporate information technology governance, digital platform, and blockchain. He has been published in Information Systems Research, MIS Quarterly (MISQ), Academy of Management Journal, Journal of Operations Management, and Production and Operations Management (POM). He has served as associate editor at MISQ and serves as senior editor at POM.
Bei Yan (“A Computational Framework for Understanding Firm Communication During Disasters”) is an assistant professor in the School of Business at Stevens Institute of Technology. She received her PhD degree from the University of Southern California. Her research focuses on technology-supported collaboration and influence processes of groups, including small teams interacting with intelligent personal assistants to online communities applying bots. Her work has been published in the Journal of Management Information Systems.
Lu (Lucy) Yan (“Speak with One Voice? Examining Content Coordination and Social Media Engagement During Disasters”) is an associate professor of information systems at the Kelley School of Business, Indiana University. Her research interests include social media in healthcare, value-based healthcare models, social media in humanitarian operations, and responsible artificial intelligence for social good. She conducts research utilizing large and granular proprietary and social media data and has published in Management Science, Information Systems Research, and Production and Operations Management, among others.
Changseung Yoo (“Speak with One Voice? Examining Content Coordination and Social Media Engagement During Disasters”) is an assistant professor of retail and information systems at Desautels Faculty of Management at McGill University. His research spans the area of social media, digital platforms, online advertising, and retail. He earned his PhD in information, risk, and operations management from The University of Texas at Austin.
Eunae Yoo (“Speak with One Voice? Examining Content Coordination and Social Media Engagement During Disasters”) is an assistant professor and Grant Thornton Scholar at the Kelley School of Business at Indiana University. She received her PhD from the W.P. Carey School of Business at Arizona State University. Her research interests include humanitarian operations management, social media, and online platforms.
Chenghong Zhang (“Attending to Customer Attention: A Novel Deep Learning Method for Leveraging Multimodal Online Reviews to Enhance Sales Prediction”) is a professor of information management and business intelligence at the School of Management, Fudan University. He received his PhD degree in computer software from Fudan University. His current research focuses on knowledge management, business data analytics, machine learning, and deep learning. His work has appeared in such journals as Information Systems Research, Journal of the Association for Information Systems, and Information & Management.
Hongzhe Zhang (“Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model”) is currently an assistant professor in information systems at The Chinese University of Hong Kong, Shenzhen. He earned his PhD in financial services analytics from the Alfred Lerner College of Business & Economics, University of Delaware. Prior to that, he completed his BSc in mathematics at Xiamen University and his MSc in statistics at Rutgers University.
Nan Zhang (“Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning”) is a professor of management at Warrington College of Business, University of Florida. Before joining a business school, he was a professor of computer science at George Washington University and a professor of information sciences and technology at Penn State. He also served as a program director at the National Science Foundation. His current research focuses on societal implications of artificial intelligence and the integration of machine learning in social sciences.
Huimin Zhao (“Attending to Customer Attention: A Novel Deep Learning Method for Leveraging Multimodal Online Reviews to Enhance Sales Prediction”) is a professor of information technology management at the Lubar College of Business, University of Wisconsin-Milwaukee. He received his PhD degree in management information systems from the University of Arizona. He currently serves as an associate editor for Information Systems Research and Journal of Business Analytics and has served as a senior editor for Decision Support Systems and an associate editor for MIS Quarterly.
Xia Zhao (“Direct Communication and Two-Sided Matching Quality on a Digital Platform: A Perspective of Choice Based on Consideration Set”) is an assistant professor of management information systems at the University of Georgia. Her research interests include platform economy, information technology governance, mobile computing, artificial intelligence, fintech, and knowledge analytics. She has been published in MIS Quarterly, Information Systems Research, Production and Operations Management, and Journal of Management Information Systems. She is a senior editor of Decision Support Systems.
Xiaohang Zhao (“Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model”) is an assistant professor at the School of Information Management and Engineering, Shanghai University of Finance and Economics. He received his BS from Renmin University of China and his PhD in financial service analytics from the University of Delaware. His current research interests focus on developing deep learning methods for business problems drawn from fields including financial technology and healthcare analytics.
Zhiqiang (Eric) Zheng (“Smart Natural Disaster Relief: Assisting Victims with Artificial Intelligence in Lending”) is the Ashbel Smith Professor in Information Systems at the Jindal School of Management, The University of Texas at Dallas. He received his PhD from the Wharton School of Business. His current research interests focus on fintech, blockchain, and healthcare analytics. He has served as a senior editor for Information Systems Research.
