About Our Authors
Gediminas Adomavicius (“Toward Sustainable Electricity Markets: Capacity-Based Pricing for Electric Vehicle Smart Charging”) is a professor of information and decision sciences at the University of Minnesota and holds the Larson Endowed Chair for Excellence in Business Education. He studies recommender systems, machine learning, and electronic markets. He has published in leading information systems and computer science journals, received grants from major funding entities (including the NSF CAREER Award), and has been recognized with the AIS Fellow and INFORMS ISS Distinguished Fellow awards.
Ashish Agarwal (“On-Demand Healthcare Platforms: Impact of Question and Answer Service on Online Consultations and Offline Appointments”) is a professor in the Information, Risk and Operations Management Department at the McCombs School of Business, University of Texas at Austin. His research interests include artificial intelligence, digital platforms, digital advertising, and social media. His papers have been accepted in several leading journals in information systems, accounting, and marketing, including Management Science, Information Systems Research, Accounting Review, and Journal of Marketing Research. He serves on the editorial boards for Management Science and Service Science.
Sascha Alavi (“The Impact of Transparency-Inducing Management Information System Use on Employees’ Daily Work Performance”) is a full professor at the University of Oldenburg (Germany). His research interests include customer relationships and marketing technology, particularly in business-to-business contexts, sales management, and pricing. His work appears in journals such as Journal of Marketing, Journal of Marketing Research, Journal of the Academy of Marketing Science, International Journal of Research in Marketing, and Academy of Management Journal.
Kenan Arifoğlu (“Signaling Quality to Consumers: The Role of Social Media Marketing”) is an associate professor at University College London. His research examines the behavioral motivations and incentives of people and firms and identifies the issues that they cause in healthcare, the retail/service industry, and entrepreneurial settings. He received his PhD from Northwesten University in 2012.
Julia Backmann (“The Impact of Transparency-Inducing Management Information System Use on Employees’ Daily Work Performance”) is a full professor and head of the Chair for Transformation of Work and the co-director of the Research Center for Business Transformation in Times of Radical Change (ChanCe) at the University of Münster (Germany). Before joining the University of Münster, she worked as an assistant professor at the University College Dublin (Ireland) and the Ludwig-Maximilians-Universität Munich (Germany). She received her PhD from WHU–Otto Beisheim School of Management (Germany).
Jiaru Bai (“All That Glitters Is Not Gold: The Impact of Certification Test Costs in Online Labor Markets”) is an assistant professor at the College of Business, Stony Brook University. She received her PhD in management from the Paul Merage School of Business at the University of California, Irvine. She obtained a master’s degree in Statistics from UC Irvine, a BS degree in engineering from Beihang University, and a double BS degree in economics from Beijing University. Her recent work addresses issues in crowdsourcing platforms. Her research has been published in academic journals such as Manufacturing & Service Operations Management, Decision Sciences, Production and Operations Management, European Journal of Operational Research, Gynecologic Oncology, etc.
Dario Bonaretti (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is an assistant professor of information systems at NEOMA Business School. His research focuses on how technology can enhance crisis response, disaster preparedness, and community resilience.
Samuel D. Bond (“The Illusion of Authenticity in Online Reviews: Truth Bias and the Role of Valence”) is an associate professor and chair of the marketing area at the Scheller College of Business, Georgia Institute of Technology. His research focuses on the ramifications of modern technology for consumer information processing and decision making. His work has appeared in outlets including Journal of Consumer Research, Journal of Marketing Research, Management Science, MIS Quarterly, Journal of Consumer Psychology, and Organizational Behavior and Human Decision Processes.
James (Jim) Burleson (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is an associate professor of information systems at the Orfalea College of Business, California Polytechnic State University. His research focuses primarily on the human component of technology adoption and use, particularly the influence of technology on the intersection of individuals’ personal and work lives. His work has been published in outlets such as Journal of the Association for Information Systems, Information & Management, and Communications of the Association for Information Systems.
Yidong Chai (“Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model”) is an associate professor in the Department of Information Systems, the City University of Hong Kong. His research interests include artificial intelligence, health informatics, cybersecurity, and business intelligence. His work has been published in journals such as MIS Quarterly, Information Systems Research, and Journal of Management Information Systems.
Sutirtha Chatterjee (“Virtual Team Efficacy Theory: An Integrative Sociotechnical Understanding of the Emergence and Ramifications of Collective Efficacy in Virtual Teams”) is a professor of information systems (IS) in the LEE Business School at the University of Nevada, Las Vegas. His research focuses on ethical and humanistic aspects of IS, technology-mediated collaborative work, behavioral and organizational issues in IS, and IS disciplinary reflections. He has published in, and is a senior editor at, multiple reputed IS journals. His home page is: https://www.unlv.edu/people/sutirtha-chatterjee.
Jianqing Chen (“Voluntary Technology Sharing to Rivals”) is an Ashbel Smith Professor in information systems at Jindal School of Management, The University of Texas at Dallas. He received his PhD from The University of Texas at Austin and his research interests include platform business models, the economic impact of AI, social media, and search engine advertising. His papers have been published in journals such as Management Science, Information Systems Research, MIS Quarterly, Journal of Marketing, and Journal of Marketing Research.
Shi Chen (“When to Broadcast? Inventory Disclosure Policies for Online Sales of Limited Inventory”) is the Marion B. Ingersoll Associate Professor of Operations Management at the Foster School of Business, University of Washington. His research focuses on inventory and supply chain management, cloud computing value chains, and socially responsible and environmentally sustainable operations. His work has appeared in leading journals including Management Science, Operations Research, Manufacturing and Service Operations Management, and Production and Operations Management.
Yuan Chen (“Departmental Boundaries and Knowledge Sharing in Corporate Online Communities”) is a chair professor at the Department of Digital Economy, Shanghai University of Finance and Economics. Her research focuses on digital platforms, human-AI collaboration, and employee behavior.
Hsing Kenneth Cheng (“Departmental Boundaries and Knowledge Sharing in Corporate Online Communities”) is the John B. Higdon Eminent Scholar and Department Chair of Department of Information Systems and Operations Management, Warrington College of Business at the University of Florida. He got his PhD in computers and information systems from Simon Business School, University of Rochester in 1992. His research covers interdisciplinary information systems research on big data and business analytics, and economic and policy issues of AI, blockchain, and Internet commerce.
Zhi (Aaron) Cheng (“From Smartphones to Smart Students: Learning vs. Distraction Using Smartphones in the Classroom”) is an assistant professor of information systems and innovation in the Department of Management at the London School of Economics. His research uses experiments, econometrics, and machine learning to identify causal effects and structural mechanisms through which digital innovation reallocates key inputs (e.g., time, space, attention) and transforms individual choices and institutional dynamics. His work appears in leading academic journals, including Management Science and Information Systems Research.
John Collins (“Toward Sustainable Electricity Markets: Capacity-Based Pricing for Electric Vehicle Smart Charging”) came to academia after 30 years as a software professional in a large corporation, finishing his doctorate with the University of Minnesota at age 55. He took a position as lecturer and head of Minnesota’s professional masters in software engineering until his retirement in 2013. In retirement, he joined the board of a local electric cooperative, and has continued his research in collaboration with colleagues in the United States and Europe.
Kieran Conboy (“Is Fitness Technology-Facilitated Social Comparison the Thief of Well-Being? The Mediating Role of Social Comparison on the Relationships Between Passion and Performance Self-Esteem”) is a professor in business analytics and society at the J.E. Cairnes School of Business & Economics at the University of Galway, Ireland. He is the editor-in-chief of the European Journal of Information Systems. He has published over 250 articles in leading international journals and conferences including Information Systems Research, Information Systems Journal, and the Journal of the AIS. He previously worked for Accenture Consulting and the University of New South Wales.
Qinquan Cui (“Signaling Quality to Consumers: The Role of Social Media Marketing”) is a PhD student at the University College London School of Management, University College London. His research focuses on problems of information asymmetry in pharmaceutical markets and healthcare operations. He is also interested in how information structures affect decision making at the intersection of marketing, finance, and operations management.
Robert Davison (“Virtual Team Efficacy Theory: An Integrative Sociotechnical Understanding of the Emergence and Ramifications of Collective Efficacy in Virtual Teams”) is a professor of information systems at the City University of Hong Kong. His research focuses on the use and misuse of information systems, especially with respect to problem solving, guanxi formation and knowledge management. He is the editor-in-chief of the Information Systems Journal, Information Systems Practice Journal, and the Electronic Journal of Information Systems in Developing Countries. As editor and author, he seeks to promote indigenous research perspectives. Home Page: http://www.is.cityu.edu.hk/staff/isrobert.
Lingfei Deng (“Crowdfunding Success Factors: A Meta-Analytic Investigation”) is an assistant professor in the School of Tourism Management at Sun Yat-sen University, China. Her research interests include digital platform governance in multi-sided markets, cultural and creative crowdfunding, artificial intelligence (AI) and AI-generated content (AIGC), and sustainable tourism development. She has published papers in journals such as Information & Management, Psychology & Marketing, International Journal of Hospitality Management, and Financial Innovation.
Zhe Deng (“From Smartphones to Smart Students: Learning vs. Distraction Using Smartphones in the Classroom”) is an assistant professor in the Department of Decision and System Sciences at Saint Joseph’s University. He holds a PhD in management information systems from Temple University. His research spans economics, behavioral science, data science, and AI, examining how information technologies impact education, healthcare, and policy using field experiments, econometrics, and statistical and computational methods.
Christina Desernot (“The Impact of Transparency-Inducing Management Information System Use on Employees’ Daily Work Performance”) is senior marketing manager at Vodafone Germany. She received her PhD from Ruhr-University Bochum (Germany). Her research focuses on the topic areas of digital transformation, sales management, and servitization. Her research has been published in journals such as International Journal of Research in Marketing.
Debabrata Dey (““Extortionality” in Ransomware Attacks: A Microeconomic Study of Extortion and Externality”) is the Ronald G. Harper Professor at the KU School of Business, University of Kansas. He received his PhD from the University of Rochester. His research has appeared in Management Science, Operations Research, Information Systems Research, MIS Quarterly, and INFORMS Journal on Computing, among several others. Currently, he serves as an associate editor of Information Systems Research. He is a distinguished fellow of the INFORMS Information Systems Society.
John Effah (“Digital Bricolage and Its Limits: How Microenterprises Undertake Digitalization in Resource-Constrained Environments”) is a professor of information systems at the University of Ghana Business School and the director of Institutional Research and Planning for the University of Ghana. His research interests focus on digital innovation and biometric systems. He holds a PhD in information systems from the University of Salford. He has served on the editorial boards of Electronic Journal of Information Systems in Developing Countries and the African Journal of Information Systems.
Victoria Fast (“Data Donations for Digital Contact Tracing: Short- and Long-Term Effects of Monetary Incentives”) is currently working in corporate marketing at Bosch Siemens Home Appliances as a consumer intelligence specialist. She completed her PhD in information systems at the University of Passau, where she also obtained a BSc and MSc in the field of business administration. Her research interests include consumer behavior, privacy, and digital marketing with a focus on experimental and survey methodologies.
Pedro Ferreira (“From Smartphones to Smart Students: Learning vs. Distraction Using Smartphones in the Classroom”) s a professor at Carnegie Mellon University. He studies how video streaming affects entertainment markets and how digital technologies influence education. His work appears in top journals in information systems and marketing. He received the 2018 INFORMS ISS Early Career Award and was named a top 25 global scholar in information systems by the Association for Information Systems in 2022.
Diana Fischer-Preßler (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is a postdoctoral researcher at the University of Applied Sciences Frankfurt. Her research focuses on improving crisis management through digital technologies, examining gender stereotypes, and developing measurement scales. Her work has appeared in outlets such as the Journal of Strategic Information Systems, Information & Management, and Computers in Human Behavior.
Jens Forderer (“Star Wars: An Empirical Study of Star Performer Turnover and Content Supply on Multisided Streaming Platforms”) is a full professor of information systems at the University of Mannheim, Business School. His research focuses on the economics of information systems, particularly the business and market impact of digital technologies, such as online platforms, artificial intelligence, or analytics. His work has been published in leading journals of the field, including Management Science, Information Systems Research, and MIS Quarterly.
Beth L. Fossen (“Emotionality in Political Social Media Communications: The Moderating Role of Audience Diversity”) is the Eli Lilly and Company Faculty Fellow and associate professor of marketing at the Kelley School of Business at Indiana University. She received her PhD in marketing at Emory University.
Mark Fuller (“Virtual Team Efficacy Theory: An Integrative Sociotechnical Understanding of the Emergence and Ramifications of Collective Efficacy in Virtual Teams”) is chancellor of UMass Dartmouth. He came to the Dartmouth campus from UMass Amherst, where he served as the Thomas O’Brien Endowed Chair and dean of the Isenberg School of Management, and later as Vice Chancellor for Advancement. He was previously on faculty at Washington State University and Baylor University. He earned his PhD in information systems from the University of Arizona. His research focuses on virtual teamwork, trust, and technology-supported learning.
Qiang Gao (“All That Glitters Is Not Gold: The Impact of Certification Test Costs in Online Labor Markets”) is an associate professor in business analytics at the Zicklin School of Business, Baruch College, City of University of New York. His research interests include online finance, online labor markets, and online user-generated content. His work appears in academic journals such as Information Systems Research, Journal of Financial and Quantitative Analysis, Journal of Marketing, and Decision Sciences.
Yang Gao (“Does Social Bot Help Socialize? Evidence from a Microblogging Platform”) is an assistant professor of business administration at the Gies College of Business, University of Illinois Urbana-Champaign. He received his PhD from the University of Rochester in 2021. His current research focuses on the management of consumer voices on social media in the era of generative AI. His works have been published in journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and Journal of Operations Management.
Paulo Goes (“All That Glitters Is Not Gold: The Impact of Certification Test Costs in Online Labor Markets”) is dean of the Freeman School, Tulane University. A native of Brazil, Goes earned a bachelor’s degree in civil engineering from the Federal University of Minas Gerais, Brazil, and a master’s in production engineering from the Federal University of Rio de Janeiro. His work regularly appears in leading academic journals, including Management Science, Information Systems Research, MIS Quarterly, and many others. From 2013 to 2015, he was editor-in-chief of Management Information Systems Quarterly.
Anandasivam Gopal (“The Costs of Ambiguous Information Disclosure: On the Unintended Consequences of Providing Restaurant Hygiene Scores on Platforms in the United States”) is President’s Chair of Information Systems and Innovation and professor at Nanyang Business School, Nanyang Technological University Singapore. His research interests are broadly in technology platforms, contracts and entrepreneurship. He has specific projects in technology-based entrepreneurship, secondary markets, mobile platforms and healthcare. He received his PhD from Carnegie Mellon University. He has served as senior editor at Information Systems Research.
Brad N. Greenwood (“Star Wars: An Empirical Study of Star Performer Turnover and Content Supply on Multisided Streaming Platforms”) is the Maximus Corporate Partner Professor of Business at George Mason University’s Costello College of Business. He is an associate editor at Management Science and a senior editor at MIS Quarterly. He received his bachelor’s degree in information technology and management information systems from Rensselaer Polytechnic Institute and his PhD from the University of Maryland, College Park. His degrees in law are from George Mason University’s Antonin Scalia Law School.
Bin Gu (“Navigating the Storm: Toward a Theory of IT Portfolio Diversity, Leadership Power, and Organizational Resilience to Major Shocks”) is the Everett W. Lord Distinguished Faculty Scholar and professor and department chair of information systems at the Questrom School of Business, Boston University. His research interests are in using information technologies and artificial intelligence to address information asymmetry and social inequity in business and society. His work has appeared in journals including Management Science, MIS Quarterly, Information Systems Research, the Journal of Management Information Systems.
Rui Guo (“Optimal Dynamic Advertising Policies in Digital and Traditional Channels: A Control-Theoretic Approach”) is a PhD candidate at the School of Business, Nanjing University, China. His research interests include dynamic advertising and dynamic pricing. His work has been published in Decision Support Systems.
Dominik Gutt (“Star Wars: An Empirical Study of Star Performer Turnover and Content Supply on Multisided Streaming Platforms”) is an assistant professor at the Rotterdam School of Management, Erasmus University, and he obtained his PhD from Paderborn University in 2019. His research focuses on user-generated content and artificial intelligence, and he received the Association for Information Systems Early Career Award in 2024 and the Reviewer of the Year Award 2023 from MIS Quarterly.
Jungpil Hahn (“Organizing for Software Product Development: The Effects of Team Structure, Product Complexity, and Cross-Team Coordination”) is Provost’s Chair Professor at NUS School of Computing. His research seeks to understand how information technology alters knowledge work, especially with innovation production activities such as software development and new product/service development. His research appears in MIS Quarterly, Information Systems Research, Management Science, and Organization Science. He was previously associate editor at Information Systems Research and is currently senior editor at MIS Quarterly.
Andrew Hardin (“Virtual Team Efficacy Theory: An Integrative Sociotechnical Understanding of the Emergence and Ramifications of Collective Efficacy in Virtual Teams”) is a professor of information systems and department chair in the LEE Business School at the University of Nevada, Las Vegas. He previously served as associate dean for research and director of the Center for Entrepreneurship, helping to raise over $5 million in donations, grants, and NSF awards. His research focuses on virtual collaboration, financial decision support systems, and research methodologies. Home Page: https://www.unlv.edu/people/andrew-hardin.
Jiangning He (“Mitigating Exposure Bias for Recommendations in Physical Spaces: An Unbiased Pairwise Ranking Approach Using Spatial Movement”) is an associate professor at Shanghai University of Finance and Economics. She specializes in providing methodological and computational solutions to critical business problems (e.g., recommender systems) with methods and theory drawn from reference disciplines including machine learning, optimization, and consumer psychology. Her work has been published in journals such as MIS Quarterly, ACM Transactions on Information Systems, and Decision Support Systems.
Hong Hong (“Crowdfunding Success Factors: A Meta-Analytic Investigation”) is an associate professor in the School of Management at Harbin Institute of Technology. She obtained her PhD in management from Xiamen University, and a BS in management and LLB from Tianjin University. Her research interests are related to the creation, dissemination, and consumption of information in business contexts. Her work has been published in outlets including Decision Support Systems and the Journal of the Association for Information Science and Technology.
Jinghui (Jove) Hou (“The Costs of Ambiguous Information Disclosure: On the Unintended Consequences of Providing Restaurant Hygiene Scores on Platforms in the United States”) is an assistant professor at the C. T. Bauer College of Business, University of Houston. Her research focuses on decision making with artificial intelligence and IT-mediated markets. Her research has been funded by the National Science Foundation and appears in journals such as Information Systems Research, MIS Quarterly, and JMIS. She holds a PhD in communications from the University of Southern California and a BS in statistics from Fudan University.
Liqiang Huang (“Can Providing Algorithmic Performance Information Facilitate Humans’ Inventory Ordering Behaviors?”) is a professor of information systems and data sciences at School of Management, Zhejiang University. His main research interests include human-AI collaboration, platform governance, and digitalization. He serves as the director of Alibaba’s Center for Digital Economy with Zhejiang University. He has published works in top-tier journals like MIS Quarterly, Journal of Management Information Systems, and Journal of the Association for Information Systems.
Ni Huang (“Forced to Change? Media Exposure of Labor Issues and Firm Artificial Intelligence Investment”) is an associate professor of business technology at Miami Herbert Business School, University of Miami. Her research program centers on understanding how digital technology can enhance user experiences and improve business outcomes. Her research work has been published in premier journals such as Management Science, MIS Quarterly, Information Systems Research, and Production and Operations Management.
Shan Huang (“Emotions in Online Content Diffusion”) is an assistant professor of business and economics at the University of Hong Kong (since 2020). She received her PhD from the MIT Sloan School in 2018 and was an assistant professor at the Foster School of Business, University of Washington. She is a digital fellow of Stanford’s Digital Economy Lab and consultant to Tencent, her research focuses on AI in marketing decisions, experimentation methods and new social media platforms.
Tabitha L. James (“Is Fitness Technology-Facilitated Social Comparison the Thief of Well-Being? The Mediating Role of Social Comparison on the Relationships Between Passion and Performance Self-Esteem”) is an R.B. Pamplin Professor in the Pamplin College of Business at Virginia Tech. She holds a PhD from the University of Mississippi in management information systems. Her research has been published in leading information systems outlets such as MIS Quarterly, Information Systems Research, and Journal of Management Information Systems. She serves as an associate editor at MIS Quarterly and as a senior editor at the European Journal of Information Systems.
Yonghua Ji (“Optimal Dynamic Advertising Policies in Digital and Traditional Channels: A Control-Theoretic Approach”) is a professor of information systems at School of Business, University of Alberta. His research interests include economics of information systems, optimal software development methodologies, and social networks. He has published in leading journals such as INFORMS Journal on Computing, Information Systems Research, and Production and Operations Management. He is an editorial board member at Production and Operations Management and Information Technology and Management.
Dorothy Lianlian Jiang (“The Costs of Ambiguous Information Disclosure: On the Unintended Consequences of Providing Restaurant Hygiene Scores on Platforms in the United States”) is an assistant professor at the C. T. Bauer College of Business, University of Houston. Her research interests include digital platform design and strategy, healthcare IT, human-artificial intelligence interaction, and business analytics. She has published work in MIS Quarterly, Information Systems Research, Communications of the Association for Information Systems, and 3D Research. She currently serves on the editorial review board of Information Systems Research.
Zhengrui Jiang (“Optimal Dynamic Advertising Policies in Digital and Traditional Channels: A Control-Theoretic Approach”) is a professor of information systems in the School of Management and Economics, The Chinese University of Hong Kong, Shenzhen. His research interests cover business intelligence, decision making under uncertainty, diffusion of innovations, and economics of information technology. His research has appeared in journals such as Management Science, MIS Quarterly, and Information Systems Research. He has served as an associate editor for Information Systems Research and MIS Quarterly.
Stan Karanasios (“Digital Bricolage and Its Limits: How Microenterprises Undertake Digitalization in Resource-Constrained Environments”) is professor of information systems and director of higher degree research at the University of Queensland. He also holds a visiting professorship at the University of Southampton. His research focuses on the societal and organizational impacts of digital technologies. He has published in leading information systems journals. He is regularly featured in the media and also consults for industry and international organizations on digital transformation and technology governance.
Wolfgang Ketter (“Toward Sustainable Electricity Markets: Capacity-Based Pricing for Electric Vehicle Smart Charging”) is a professor of information systems for sustainable society and director of the Cologne Institute of Information Systems at the University of Cologne. His research focuses on how digital transformation can create a faster and more stable transition to sustainable energy and mobility. He is also professor and director at Erasmus University and energy policy advisor to the EU and German government. He has served as editor for Information Systems Research (ISR) and MIS Quarterly and has won the best ISR paper in 2020.
Atanu Lahiri (““Extortionality” in Ransomware Attacks: A Microeconomic Study of Extortion and Externality”) is an associate professor at the Jindal School of Management, University of Texas at Dallas. He received his PhD from the University of Rochester. His work has appeared in Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, Management Science, MIS Quarterly, and INFORMS Journal on Computing. He is an associate editor of Information Systems Research and the Journal of the Association for Information Systems.
Guoming Lai (“On-Demand Healthcare Platforms: Impact of Question and Answer Service on Online Consultations and Offline Appointments”) is the Tom E. Nelson Jr. Regents Professor in Business at the McCombs School of Business, University of Texas at Austin. He received his PhD from Carnegie Mellon University and holds bachelor’s and master’s degrees in engineering from Tsinghua University. He serves on the editorial boards of Management Science, Manufacturing & Service Operations Management, and Production and Operations Management, and received the 2015 Wickham Skinner Early Career Research Accomplishments Award from the Production and Operations Management Society.
Kai R. Larsen (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is a professor of information systems at the Leeds School of Business, University of Colorado Boulder. He is a courtesy faculty member in the Department of Information Science and a research advisor to Gallup. He is most known for providing a practical solution to Edward Thorndike’s (1904) Jingle Fallacy and for his contributions to the Semantic Theory of Survey Response (STSR).
Gwanhoo Lee (“Organizing for Software Product Development: The Effects of Team Structure, Product Complexity, and Cross-Team Coordination”) is a professor of the Department of Information Technology and Analytics in the Kogod School of Business at American University. He is also the director of the Institute for Applied Artificial Intelligence. His research interests include AI transformation, software development, and information privacy. His work has been published in journals including MIS Quarterly, Information Systems Research, and Journal of Management Information Systems. He received his PhD in information systems from the University of Minnesota’s Carlson School of Management.
Boshuo Li (“Forced to Change? Media Exposure of Labor Issues and Firm Artificial Intelligence Investment”) is an assistant professor in the Organizations and Entrepreneurship Area, at Katz Graduate School of Business, University of Pittsburgh. His research focuses on competitive strategy, corporate strategy, and strategic human capital. His work has been published in leading business journals, including the Academy of Management Journal, Journal of Management Studies, and Global Strategy Journal. He received his PhD from Miami Herbert Business School, University of Miami.
Jingyu Li (“Navigating the Storm: Toward a Theory of IT Portfolio Diversity, Leadership Power, and Organizational Resilience to Major Shocks”) is an assistant professor in the Department of Management at the Chinese University of Hong Kong. She received her PhD in management from Mays Business School, Texas A&M University. Her research interests lie in innovation, patenting, digital leadership, and corporate governance. Her work has appeared in leading journals including the Academy of Management Journal, Journal of International Business Studies, and MIS Quarterly, among others.
Junchao (Jason) Li (“The Power of Conversation: Analyzing the Impact of Starter Response on Backer Accumulation in Crowdfunding”) is an assistant professor of management at the Rutgers Business School at Rutgers University. He received his PhD in organizational behavior from the University of Washington. His research interests focus on crowdfunding, employee voice and proactivity, leadership, and decision making. He has published in many prestigious journals in management, such as the Academy of Management Review, Organization Science, Journal of Applied Psychology, etc.
Mengxiang Li (“Navigating the Storm: Toward a Theory of IT Portfolio Diversity, Leadership Power, and Organizational Resilience to Major Shocks”) is an associate professor of information systems in the Department of Management, Marketing and Information Systems, School of Business, Hong Kong Baptist University. His current research examines innovative technology use, strategic decisions about technology, user-centered technology design, digital resilience, and remote everything. He has published more than 30 papers in the past six years in journals such as MIS Quarterly, the Journal of MIS, and Information & Management.
Zhepeng (Lionel) Li (“Mitigating Exposure Bias for Recommendations in Physical Spaces: An Unbiased Pairwise Ranking Approach Using Spatial Movement”) is an associate professor of information systems at the Faculty of Business and Economics, The University of Hong Kong. His research focuses on computational design science with a particular emphasis on leveraging machine learning and artificial intelligence technologies to address business and societal challenges. His work has been published in leading journals across disciplines including MIS Quarterly, Management Science, Information Systems Research, and ACM Transactions.
Ruicheng Liang (“Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model”) is an assistant professor in the School of Management Science and Engineering, Anhui University of Finance and Economics. His research interests include data mining, health informatics, cybersecurity, and business intelligence. His work has been published in such journals as IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Knowledge Discovery from Data and such conferences as ACM SIGKDD Conference on Knowledge Discovery and Data Mining and IEEE International Conference on Systems, Man, and Cybernetics, among others.
Mingfeng Lin (“All That Glitters Is Not Gold: The Impact of Certification Test Costs in Online Labor Markets”) is the Dean’s Distinguished Term Professor, professor of information technology management (ITM), and the ITM PhD program coordinator at the Scheller College of Business, Georgia Institute of Technology. He studies financial technologies (fintech), online labor markets, and artificial intelligence as well as business models as drivers of innovation and entrepreneurship. His work has been published in academic journals such as Management Science, Management Information Systems Quarterly, and Information Systems Research.
Yang Liu (“Departmental Boundaries and Knowledge Sharing in Corporate Online Communities”) is an associate professor at the School of Management, Hangzhou Dianzi University. She received her PhD in 2022 from Shanghai University of Finance and Economics. Her research interests include knowledge communities, social media, and AI-human collaboration. Her research has been published in Information Systems Research, Production and Operations Management, Decision Support Systems, and Journal of Business Research.
Yang Liu (“Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model”) is a graduate student at Hefei University of Technology.
Yuchen Liu (“Emotions in Online Content Diffusion”) is an assistant professor of the Department of Information Systems and Operations management at the Warrington College of Business, University of Florida. She received her PhD from the University of Washington, Seattle, in 2023. Her research centers on the economics of digital consumption on community-based online platforms with a specific focus on understanding the dynamics of user behavior.
Yixuan Liu (“On-Demand Healthcare Platforms: Impact of Question and Answer Service on Online Consultations and Offline Appointments”) is an assistant professor of management information systems at China Europe International Business School (CEIBS). Her research focuses on digital platforms and health IT, with work published in Manufacturing & Service Operations Management and Production and Operations Management. Before joining CEIBS, she was an assistant professor at Purdue University. She holds a PhD from the University of Texas at Austin and dual bachelor’s degrees from Tsinghua University.
Zibo Liu (“When to Broadcast? Inventory Disclosure Policies for Online Sales of Limited Inventory”) is an assistant professor in the Department of Information Management and Business Intelligence, School of Management, Fudan University. He received his PhD from the University of Washington. His research interests include online platform mechanisms, e-commerce, promotional strategies, the economic impact of artificial intelligence, and online auctions. He has published in Production and Operations Management.
Yingda Lu (“Can Providing Algorithmic Performance Information Facilitate Humans’ Inventory Ordering Behaviors?”) is an associate professor at the College of Business Administration, University of Illinois, Chicago. His research leverages economic theory with state-of-the art empirical methods to provide actionable policies to improve the design of social media platforms and to enhance human-algorithm connection. His research appears in top academic journals such as Management Science, Information Systems Research, and MIS Quarterly.
Xueming Luo (“Can Providing Algorithmic Performance Information Facilitate Humans’ Inventory Ordering Behaviors?”) is the Charles Gilliland Distinguished Chair Professor of Marketing, of strategy, and of management information systems, Fox School of Business, Temple University. His research interests are leveraging AI/ML algorithms, text/audio/image/video big data, econometrical methods, and field experiments to model, explain, and optimize digital marketing, customer analytics, social media, influencer commerce, mobile targeting, and social-political activism.
Mikhail Lysyakov (“Does Social Bot Help Socialize? Evidence from a Microblogging Platform”) is an assistant professor of information systems and technology at Simon Business School, University of Rochester. He earned his PhD in information systems from the University of Maryland, College Park, in 2021. His research explores user behavior in digital environments, integrating deep learning techniques with econometric methods. His work examines social media and crowdsourcing platforms and investigates how AI technologies shape user interactions and engagement.
Xiao Ma (“The Costs of Ambiguous Information Disclosure: On the Unintended Consequences of Providing Restaurant Hygiene Scores on Platforms in the United States”) is an associate professor and director of the MS in Business Analytics programs at the C. T. Bauer College of Business, University of Houston. He graduated with a PhD in business from the University of Wisconsin–Madison, concentrating on information systems. His research work has appeared in premier journals on information systems and management, including Information Systems Research, Journal of Management Information Systems, and Journal of the Association for Information Systems.
Kamran Moinzadeh (“When to Broadcast? Inventory Disclosure Policies for Online Sales of Limited Inventory”) is the Burlington Northern/Burlington Resources Professor in Operations Management at Michael G. Foster School of Business, University of Washington. His research interests include production/operations management and supply chain management. His publications have appeared in Management Science, Operations Research, Manufacturing & Service Operations Management, Information Systems Research, and Production and Operations Management.
Roland M. Mueller (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is a professor of information systems at the Berlin School of Economics and Law in Germany. His research interests include ontologies and large language models for literature reviews, design science methods, and user-driven innovation in AI projects. He has authored three books and more than 100 academic papers in outlets such as MIS Quarterly and International Journal of Information Management, with his work receiving multiple accolades, including the Herbert A. Simon Design Science Award.
Gautam Pant (“Sparking Innovation: The Effect of Inventor Gender Diversity on Recombinant Innovation”) is a professor at the Gies College of Business at the University of Illinois Urbana-Champaign. His research uses machine learning and network science to gain insights into interfirm competition and alliances, human capital, innovation, resilience, and sustainability. His work has been published in such journals as Information Systems Research, Production and Operations Management, Journal of Management Information Systems, ACM Transactions on Information Systems, and IEEE Transactions on Knowledge and Data Engineering.
Shagun Pant (“Sparking Innovation: The Effect of Inventor Gender Diversity on Recombinant Innovation”) is a teaching associate professor at the Gies College of Business, University of Illinois Urbana-Champaign. Previously, she served on the faculty at the University of Iowa and Texas A&M University. Her research examines corporate finance, investments, innovation, human capital, and business analytics and has been published in journals such as the Journal of Finance, the Journal of Management Information Systems, Decision Support Systems, Review of Financial Economics, and Research Policy.
Jeffrey Parsons (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is university research professor and professor of information systems at Memorial University of Newfoundland in Canada. His research focuses on how to better represent human conceptualizations of the world in data. Jeff’s research has been recognized in several ways, including MIS Quarterly paper of the year (2019), AIS Senior Scholars Paper Award (2020), and the INFORMS Design Science Award (2014). He is a fellow of the Association for Information Systems and an ER fellow.
Paul A. Pavlou (“From Smartphones to Smart Students: Learning vs. Distraction Using Smartphones in the Classroom”) is dean of Miami Herbert Business School at the University of Miami. He is internationally recognized in information systems and AI, with over 100,000 citations and recognition as one of Thomson Reuters’ “World’s Most Influential Scientific Minds.” Ranked number one globally for IS publications (2010–2016), he has received multiple best paper awards. He holds a PhD from the University of Southern California and a bachelor’s from Rice University.
Jean-Charles Pillet (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is an assistant professor of information systems at Toulouse Business School, France. His research focuses on the drivers of information technology use, the impact of digitally enabled collaboration, and measurement practices in the social sciences. His research has been published in peer-reviewed journals such as the European Journal of Information Systems, the Information Systems Journal, and Organization.
J. J. Po-An Hsieh (“Navigating the Storm: Toward a Theory of IT Portfolio Diversity, Leadership Power, and Organizational Resilience to Major Shocks”) is a professor in the Department of Computer Information Systems at Robinson College of Business, Georgia State University. His current research interests include future work with artificial intelligence, digital governance and sustainability, effective postadoptive use, etc. He has published in premier journals across different disciplines, such as MIS Quarterly, Information Systems Research, Management Science, the Journal of Management Information Systems, and the Journal of Applied Psychology, among others.
Jingchuan Pu (“Departmental Boundaries and Knowledge Sharing in Corporate Online Communities”) is Frank Weyenberg Fellow and associate professor of information systems at the University of Florida. His research focuses on social-media and e-commerce platforms, AI-human collaboration, and fintech. His research has been published in Information Systems Research, MIS Quarterly, Marketing Science, Production and Operations Management, and Journal of Management Information Systems.
Liangfei Qiu (“Departmental Boundaries and Knowledge Sharing in Corporate Online Communities”, “You Get What You Pay For! An Economic Analysis of the Impact of Data Sponsorship on Content Production”) is the PricewaterhouseCoopers Professor and University Research Foundation Professor at Warrington College of Business, University of Florida. His current research focuses on social technology, platform technology, and fintech. He received his PhD in 2014 from the University of Texas at Austin.
Naveenkumar Ramaraju (“Sparking Innovation: The Effect of Inventor Gender Diversity on Recombinant Innovation”) is joining as an assistant professor at the University of Texas at Arlington. He is a PhD candidate in Information Systems from Gies College of Business at the University of Illinois Urbana-Champaign. His educational background includes an undergraduate degree in engineering, a master’s degree in data science, and a master’s degree in business administration. He studies questions about organizational innovation, gender diversity, mergers and acquisitions, and healthcare using natural language processing, artificial intelligence, and econometrics.
Hani Safadi (“Silence Inside Systems: Roots and Generativity Consequences”) is an associate professor at Terry College of Business, University of Georgia. His research has been published in outlets such as MIS Quarterly, Information Systems Research, Organization Science, Journal of the Association for Information Systems, and Journal of Medical Internet Research. He is a senior editor at Journal of the Association for Information Systems and a past associate editor at MIS Quarterly.
Lan Sang (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is a PhD candidate in information systems at Leeds School of Business, University of Colorado Boulder. Her research focuses on IS healthcare, psychometrics in IS, and social media analysis. Methodologically, she specializes in design science research, with a focus on applying deep learning and large language models to improve user understanding and engagement with information in digital environments.
Daniel Schnurr (“Data Donations for Digital Contact Tracing: Short- and Long-Term Effects of Monetary Incentives”) is a professor of information systems and is the chair of Machine Learning and Uncertainty Quantification at the University of Regensburg. He is also a research fellow at the Centre on Regulation in Europe. He obtained a BSc, MSc, and PhD from the Karlsruhe Institute of Technology. His current research focuses on the role of AI in shaping competition; privacy and data sharing in digital markets; and the regulation of data and AI.
David A. Schweidel (“Emotionality in Political Social Media Communications: The Moderating Role of Audience Diversity”) is the Goizueta Chair in Business Technology and professor of marketing at Emory University’s Goizueta Business School. He received his BA in mathematics, MA in statistics, and PhD in marketing from the University of Pennsylvania. His current research focuses on consumers’ use of new technologies and how these technologies can be leveraged by marketers.
P. K. Senyo (“Digital Bricolage and Its Limits: How Microenterprises Undertake Digitalization in Resource-Constrained Environments”) is professor of fintech and information systems and the associate dean for research at the University of Southampton Business School. His research focuses on how technologies such as AI, digital platforms, and fintech shape the transformation, provision, and effective delivery of digital services with broader implications for individuals, organizations, and society. He also serves as senior editor for the European Journal of Information Systems and the Information Technology & People journal.
Wei Shi (“Forced to Change? Media Exposure of Labor Issues and Firm Artificial Intelligence Investment”) is a professor in the Department of Management at Miami Herbert Business School, University of Miami. His research focuses on the influence of corporate governance actors and upper echelons on strategic decisions. His research has been published at outlets such as Administrative Science Quarterly, Academy of Management Journal, Strategic Management Journal, Organization Science, Journal of Management, Journal of Management Studies, and Production and Operations Management.
Nimisha Singh (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is an associate professor of information systems at School of Management, Bennett University, India. Her research focuses on unintended consequences of technology.
Haoyan Sun (“The Power of Conversation: Analyzing the Impact of Starter Response on Backer Accumulation in Crowdfunding”) is an assistant professor at Lehigh University. Her research applies empirical methods to study the impact of emerging technologies on user behavior, business strategy, and digital platforms. Her work was published in top tier journals such as Information Systems Research and Production and Operations Management. She received her PhD in information systems from the Forster School of Business at the University of Washington.
Yong Tan (“When to Broadcast? Inventory Disclosure Policies for Online Sales of Limited Inventory”, “Emotions in Online Content Diffusion”) is the chair of the Information Systems and Operations Management Department and Michael G. Foster Endowed Professor at the Michael G. Foster School of Business, University of Washington. He is a distinguished academic fellow of the INFORMS Information Systems Society. His research interests include social media and networks; e-commerce; sharing economy; fintech; electronic, mobile, and social commerce; economics of information systems; health information technology; and big data analytics. He has published in Information Systems Research, Management Science, and MIS Quarterly, among other outlets.
Amrit Tiwana (“Silence Inside Systems: Roots and Generativity Consequences”) is the Fuqua Distinguished Chair of Internet Strategy at the University of Georgia. He has served as senior editor at MIS Quarterly and Information Systems Research, and he serves on the Strategic Management Journal and Journal of Management Information Systems boards. His work has appeared in various management information systems, strategy, software engineering, finance, and marketing journals.
Konstantina Valogianni (“Toward Sustainable Electricity Markets: Capacity-Based Pricing for Electric Vehicle Smart Charging”) is an associate professor of Information Systems at IE Business School – IE University. Her research focuses on designing machine learning algorithms to enable sustainable societies. Her work has been published in leading information systems and operations management journals, and she has received grants from funding entities such as the EU, the Ramon Areces Foundation, and others. In 2024 she was recognized by Poets & Quants as one of the best 40-under-40 MBA professors.
Arnd Vomberg (“The Impact of Transparency-Inducing Management Information System Use on Employees’ Daily Work Performance”) is an associate professor at HEC Paris (France). His research interests include marketing strategy and digital business, particularly in business-to-business marketing, sales management, pricing, and marketing interfaces. His work appears in journals such as Journal of Marketing, Journal of Marketing Research, Journal of the Academy of Marketing Science, International Journal of Research in Marketing, and Strategic Management Journal.
Chong (Alex) Wang (“You Get What You Pay For! An Economic Analysis of the Impact of Data Sponsorship on Content Production”) is a professor in the Department of Information Systems at the College of Business, City University of Hong Kong. His research focuses on the transformative role of information technology in the generation, sharing, and utilization of information within business and social contexts. His work spans diverse areas, including social media, online networks, the platform economy, financial technology, artificial intelligence, data governance, and digital privacy. He earned his PhD in information systems from the Hong Kong University of Science and Technology.
Danni Wang (“Can Providing Algorithmic Performance Information Facilitate Humans’ Inventory Ordering Behaviors?”) is a data scientist at Wei Chuan Foods Corporation.
Xin Wang (“You Get What You Pay For! An Economic Analysis of the Impact of Data Sponsorship on Content Production”) is a PhD candidate at the Guanghua School of Management, Peking University. His research focuses on applying game-theoretic frameworks to investigate various issues in digital economics and information economics.
Xincheng Wang (“Navigating the Storm: Toward a Theory of IT Portfolio Diversity, Leadership Power, and Organizational Resilience to Major Shocks”) is an assistant professor with Tongji University, Shanghai. With strong expertise in empirical method, his main research interests include the intersection of digital innovation, project governance, and strategic management. His papers have been published in MIS Quarterly, the Journal of Operations Management, Technovation, Technological Forecasting & Social Change, IEEE Transactions on Engineering Management, and the Journal of Technology Transfer, among others.
Matthias Weiss (“The Impact of Transparency-Inducing Management Information System Use on Employees’ Daily Work Performance”) is a full professor and head of the ZEPPELIN-Chair for Innovation Management and Transformation at Zeppelin University, Friedrichshafen (Germany). Prior to his appointment at Zeppelin University, he held positions at the faculties of Radboud University Nijmegen (Netherlands) and Ruhr-University Bochum (Germany). His research interests are in the areas of digital transformation, innovation, and teamwork in organizations.
Xi Weng (“You Get What You Pay For! An Economic Analysis of the Impact of Data Sponsorship on Content Production”) earned his PhD in economics from the University of Pennsylvania in 2011. Currently serving as a tenured professor at Peking University’s Guanghua School of Management, his research centers on applied microeconomic theory with particular emphasis on employing game-theoretic frameworks to investigate various issues in information economics, organizational economics, and digital economy.
Eoin Whelan (“Is Fitness Technology-Facilitated Social Comparison the Thief of Well-Being? The Mediating Role of Social Comparison on the Relationships Between Passion and Performance Self-Esteem”) is a professor in business analytics and society at the J.E. Cairnes School of Business & Economics, and a funded investigator at Insight SFI Research Centre for Data Analytics, at the University of Galway. His research explores the psychology underlying engagement with interactive digital media. His publications have appeared in Information Systems Journal, Journal of Information Technology, European Journal of Information Systems, MIT Sloan Management Review, and Internet Research.
Weikun Wu (“Mitigating Exposure Bias for Recommendations in Physical Spaces: An Unbiased Pairwise Ranking Approach Using Spatial Movement”) is a PhD candidate in information management and business intelligence at Shanghai University of Finance and Economics. He received his BS in electronic business from Shanghai University of Finance and Economics. His main research interests include recommender systems, data mining and knowledge discovery, and user behavior modeling.
Jiaheng Xie (“Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model”) is an assistant professor in the Department of Accounting and Management Information Systems at the University of Delaware’s Alfred Lerner College of Business and Economics. His research interests lie in interpretable artificial intelligence (AI), generative AI, health risk analytics, and business analytics. He has published in journals, such as Management Science, MIS Quarterly, Information Systems Research, Journal of Management Information Systems, and Journal of American Medical Informatics Association.
DaPeng Xu (“Crowdfunding Success Factors: A Meta-Analytic Investigation”) is an associate professor in the Department of Electronic Business at South China University of Technology. He possesses a PhD in management awarded by Xiamen University, as well as a BS in management and an LLB from Tianjin University. His research interests include e-commerce and fintech. He has published more than a dozen refereed papers in journals such as Industrial Management & Data Systems and Electronic Commerce Research and Applications.
Dezhi Yin (“The Illusion of Authenticity in Online Reviews: Truth Bias and the Role of Valence”) is an associate professor of information systems at the Muma College of Business, University of South Florida. His research interests include emotional expression in online environments, user-generated content, and AI-generated content. His research has appeared in MIS Quarterly, Information Systems Research, Journal of Marketing Research, Academy of Management Journal, Production and Operations Management, and other academic journals.
Weijia You (“The Power of Conversation: Analyzing the Impact of Starter Response on Backer Accumulation in Crowdfunding”) is a professor at the Department of Management Science and Engineering, School of Economics and Management, Beijing Forestry University. Her articles have appeared in leading information systems conferences and journals such as Production and Operations Management, Electronic Markets, and Electronic Commerce Research and Applications. Her current research interests include crowdfunding, social network, and social media.
Yifan Yu (“Emotions in Online Content Diffusion”) is an assistant professor at the McCombs School of Business, The University of Texas at Austin. His research interests include the economics of artificial intelligence and machine learning, unstructured data analytics, and social media networks. His work has been published in Information Systems Research, Management Information Systems Quarterly, and Management Science. He currently serves as the chair of the INFORMS AI cluster.
Daniel Dajun Zeng (“Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model”) is a computer scientist working in the areas of social computing, digital economic institutions, and informatics. He is the former Gentile Family Professor of Management Information Systems in the Eller College of Management of the University of Arizona and is currently affiliated with the Institute of Automation of the Chinese Academy of Sciences.
Weijun Zeng (“Voluntary Technology Sharing to Rivals”) is an associate professor of management science and engineering at Hainan University, China. She received her PhD in management science and engineering from Tianjin University. Her current research interests include platform economics, innovation coopetition, and evolutionary games. Her papers have been published in journals such as IEEE Transactions on Engineering Management, Journal of Evolutionary Economics, Applied Soft Computing, and Managerial and Decision Economics.
Dongyuan Zhan (“Signaling Quality to Consumers: The Role of Social Media Marketing”) is a professor at the University of Science and Technology of China. His research focuses on service operations, with an emphasis on strategic behavior of customers and servers in large systems. He received his PhD from the University of Southern California in 2015. Prior to joining the University of Science and Technology of China, he served as an assistant professor and an associate professor at University College London.
Fan Zhang (“Mitigating Exposure Bias for Recommendations in Physical Spaces: An Unbiased Pairwise Ranking Approach Using Spatial Movement”) is a postdoctoral researcher at PICC Asset Management Co. Ltd., working on artificial intelligence–powered asset management. She received a PhD in management science and engineering from Shanghai University of Finance and Economics. Her research interests include recommender systems, data science, machine learning, and deep learning.
Han Zhang (“The Illusion of Authenticity in Online Reviews: Truth Bias and the Role of Valence”, “The Power of Conversation: Analyzing the Impact of Starter Response on Backer Accumulation in Crowdfunding”) is a chair professor at the School of Business, Hong Kong Baptist University, and Steven A. Denning Professor of Technology & Management at the Scheller College of Business, Georgia Institute of Technology (on leave). His research focuses on online trust, user-generated content, online healthcare, and human-AI interaction. He has published in MIS Quarterly, Information Systems Research, Journal of Marketing Research, Production and Operations Management, and other academic journals.
Maggie Mengqing Zhang (“Does Social Bot Help Socialize? Evidence from a Microblogging Platform”) is a postdoctoral associate at the McIntire School of Commerce, University of Virginia. She holds a PhD in communication and an MS in computer science from the University of Illinois Urbana-Champaign. Her research focuses on user behavior in social media environments, with a particular focus on the implications of generative AI.
Xiaoquan (Michael) Zhang (“Crowdfunding Success Factors: A Meta-Analytic Investigation”) is the Wei-Lun Professor of Business AI at the CUHK Business School, Chinese University of Hong Kong. He holds a PhD in management from MIT Sloan School of Management, and a BE in computer science and a BA in english from Tsinghua University. His research has appeared in American Economic Review, Management Science, MIS Quarterly, Marketing Science, Information Systems Research, Journal of Marketing, Journal of Management Information Systems, among others.
Zhu (Drew) Zhang (“The ITEM Ontology: A Tool to Elucidate the Anatomy of Psychometric Indicators”) is the Alfred J. Verrecchia Endowed Chair in Artificial Intelligence and Business Analytics at the College of Business, University of Rhode Island. He received his PhD in information and computer science from the University of Michigan. He has broad research interest in business AI as well as its technical foundations. His previous work has been published in premier journals, including MIS Quarterly, Journal of MIS, and various ACM/IEEE Transactions.
Junjie Zhou (“Organizing for Software Product Development: The Effects of Team Structure, Product Complexity, and Cross-Team Coordination”) is a PhD candidate in the Department of Information Systems and Analytics at the School of Computing at the National University of Singapore. His research focuses on the impacts of information technology on organizational knowledge work, with an emphasis on innovation production activities. He develops and deploys computational simulations to study the intersection of information technologies and organizational structures.
Weihua Zhou (“On-Demand Healthcare Platforms: Impact of Question and Answer Service on Online Consultations and Offline Appointments”) is a Qiushi Distinguished Professor in Supply Chain Management at the School of Management, Zhejiang University in Hangzhou, China. He received his PhD from the Hongkong University of Science and Technology, and his research interests include supply chain management and human and artificial intelligence collaboration. His papers have been published in Management Science, Operations Research, Manufacturing & Service Operations Management, and Production and Operations Management.
Vasilii Zorin (“Organizing for Software Product Development: The Effects of Team Structure, Product Complexity, and Cross-Team Coordination”) is a lead product manager at Acronis, specializing in cloud data protection and cyber recovery. He holds a master’s degree from the School of Computing at the National University of Singapore. His research interests include the impact of organizational design on software team performance and the use of agile frameworks in large-scale software development.
Aljona Zorina (“Digital Bricolage and Its Limits: How Microenterprises Undertake Digitalization in Resource-Constrained Environments”) is a professor of information systems and digital innovation. She studies digital innovation in distributed and open settings, decentralized collectives, sustainability, and surveillance. Her research has appeared in leading organization and information systems journals and has received several awards and nominations. She serves on the editorial board of Information and Organization and as associate editor for the Journal of the Association for Information Systems and the European Journal of Information Systems.
