About Our Authors
Ashish Agarwal (“Design for Social Sharing: The Case of Mobile Apps”) is an associate professor and Fayez Sarofim & Co. Centennial Fellow in the Information, Risk and Operations Management Department at the McCombs School of Business, University of Texas at Austin. He obtained his PhD in information systems from the Tepper School of Business, Carnegie Mellon University. He serves on the editorial boards for Management Science and Service Science. He was the recipient of the INFORMS Sandra Slaughter Early Career Award in 2018.
Rohit Aggarwal (“Differential Impact of Content in Online Communication on Heterogeneous Candidates: A Field Study in Technical Recruitment”) is an associate professor at the University of Utah. He focuses on integrating human expertise in natural language processing–based business problems involving multi-document summarization, text generation, entity recognition, and knowledge graph. He explores pretext tasks that can help with self-supervising learning, domain-specific fine-tuning of transformer models, and cutting down the need for human annotation. He has published in Management Science, Information Systems Research, and MIS Quarterly.
Ramah Al Balawi (“Brand Crisis and Customer Relationship Management on Social Media: Evidence from a Natural Experiment from the Airline Industry”) holds a PhD degree in management information systems from the University of Illinois at Chicago (conferred in August 2022). She joined Baruch College, City University of New York, as an assistant professor in Fall 2022. Her research interests include the economic and social impacts of social media platforms and digitally enabled platforms. She previously worked as a systems engineer in the information technology and financial industries.
Abdullah Alhauli (“Impressionable or Immune? Examining the Influence of Marquee Sellers in B2B Secondary Market Platforms for IT Products”) is an assistant professor in the Department of Information Systems and Operations Management, College of Business Administration, Kuwait University. He received his PhD in information systems from the Robert H. Smith School of Business, University of Maryland in 2021. His research interests are broadly in the economics of online platforms. His recent research studies different mechanisms that enhance the efficacy of online secondary markets for durable information technology products.
Jesse Anderton (“A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation”) is a research scientist at Spotify. His research is on drawing inferences from subjective opinions and user behavior, with particular focus on ordinal embedding, multiarmed bandits, information retrieval, crowdsourcing, and recommender systems. He also has extensive industry experience in software development. He received his PhD in computer science from Northeastern University.
Arslan Aziz (“The Consequences of Rating Inflation on Platforms: Evidence from a Quasi-Experiment”) is an assistant professor of information systems at the Sauder School of Business, University of British Columbia. He received his PhD from Carnegie Mellon University. His research focuses on the economics of information systems, with a special focus on the design of online platforms, data privacy and online advertising, cybersecurity, and the social impacts of artificial intelligence. He received the best student paper award at the Workshop in Information Systems and Economics in 2015.
Abayomi Baiyere (“Digital “x”—Charting a Path for Digital-Themed Research”) is an associate professor in the digitalization department of Copenhagen Business School (CBS) and a research affiliate at MIT Center for Information Systems Research. His research focuses on digital transformation and digital disruption. He leads ISPIM’s Digital Disruption and Digital Transformation Group and the Theory of Digital Theme at CBS. His works have appeared in leading information systems and management outlets and have received several best paper awards/nominations.
Anitesh Barua (“Design for Social Sharing: The Case of Mobile Apps”) is the David Bruton Jr. Centennial Chair Professor in the Information, Risk and Operations Management Department of the McCombs School of Business at the University of Texas at Austin. He is a distinguished fellow of the INFORMS Information Systems Society. He received his PhD from Carnegie Mellon University. He serves (or has served) as senior editor at Information Systems Research and as an associate editor at Information Systems Research, MIS Quarterly, and Management Science.
Victor Benjamin (“Augmenting Social Bot Detection with Crowd-Generated Labels”) is an assistant professor of information systems in the W. P. Carey School of Business at Arizona State University. He is also codirector of the W. P. Carey Actionable Analytics Laboratory. His work on security informatics has been published in top information systems journals and is also regularly highlighted by media such as PBS, ABC, the Boston Globe, and others.
Martin Bichler (“Pricing in Nonconvex Markets: How to Price Electricity in the Presence of Demand Response”) is a full professor and vice dean at the Department of Computer Science of the Technical University of Munich (TUM). He is heading the Chair of Decision Sciences & Systems. He studied at the Technical University of Vienna and graduated with a doctorate from the Vienna University of Economics and Business. He did a postdoc at the University of California, Berkeley, and worked as a research staff member at the IBM T. J. Watson Research Center in New York before he joined the TUM.
Niels Bjørn-Andersen (“Value Destruction in Information Technology Ecosystems: A Mixed-Method Investigation with Interpretive Case Study and Analytical Modeling”) is emeritus professor of information systems (IS) at the Copenhagen Business School. Most of his research has been collaborative research with organizations like CISCO, IBM, and SAP on topics like information technology governance, e-business, enterprise resource planning systems, and information technology for mergers and acquisitions. He was president of the Association for Information Systems (AIS) in 1996. He has been awarded the AIS-LEO award and the IFIP Outstanding Services Award. He has been knighted by the Queen of Denmark for his contributions to the field of IS.
Benjamin Carterette (“A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation”) is a senior research manager at Spotify. His main research interest is in information retrieval (IR), in particular, new ways to optimize and evaluate the utility of IR systems beyond the traditional independent assessments of relevance and ideally with minimal human input. Before joining Spotify, he was an associate professor at the University of Delaware. He received his PhD in computer science from University of Massachusetts Amherst.
Praveen Chandar (“A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation”) is a staff research scientist and research lead at Spotify. His interests are in the field of information retrieval, recommender systems, natural language processing, and machine learning. Prior to Spotify, he was a research staff member at IBM and a postdoctoral fellow at Columbia University. He has a PhD from the University of Delaware, and his thesis focused on novelty and diversity in information-retrieval systems.
Maxime C. Cohen (“Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform”) is the SCALE AI Chair professor of retail and operations management and co-director of the Retail Innovation Laboratory at McGill University. He is the chief artificial intelligence officer of ELNA Medical and the scientific director of the nonprofit MyOpenCourt.org. He is also a scientific advisor in artificial intelligence and data science at IVADO Labs. He actively advises corporations, retailers, and startups on topics related to pricing, retail, and data science.
Wedad J. Elmaghraby (“Impressionable or Immune? Examining the Influence of Marquee Sellers in B2B Secondary Market Platforms for IT Products”) is Dean’s Professor of Operations Management at the Robert H. Smith School of Business, University of Maryland. Her research interests are at the interface of operations management, economics, and behavioral decision making. Current research includes online auctions in B2B secondary markets, online platforms, and behavioral factors in B2B contract design. She received her PhD in operations research from the University of California at Berkeley.
Wenjuan Fan (“Should Doctors Open Online Consultation Services? An Empirical Investigation of Their Impact on Offline Appointments”) is an associate professor in the Department of Public Administration, School of Management, Hefei University of Technology, Hefei, China. She received her PhD in management science and engineering from Hefei University of Technology in 2014. Her current research interests are in the areas of medical empirical studies, healthcare operations management, and applications of operations research in healthcare.
Carlos Fernández-Loría (“Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform”, “A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation”) is an assistant professor of information systems at the Hong Kong University of Science and Technology Business School. His research focuses on the use of data-driven models to make better targeting decisions. He has worked on research projects with companies in various industries, including Spotify (music), Via (ridesharing), Dstillery (digital advertising), and BAC Credomatic (banking). He received his PhD in information systems from the New York University Stern School of Business.
Lior Fink (“On the Same Page? What Users Benefit from a Desktop View on Mobile Devices”) is an associate professor of information systems in the Department of Industrial Engineering and Management at Ben-Gurion University of the Negev. He received a PhD degree in information systems from Tel Aviv University. He has published extensively in information systems journals, including MIS Quarterly, Information Systems Research, and Journal of the Association for Information Systems, as well as in economics, psychology, project management, and medical informatics journals.
Anindya Ghose (“Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform”) is the Heinz Riehl Chair professor of business at New York University’s Stern School of Business where he holds a joint appointment in the TOPS and marketing departments. He is the director of the Masters of Business Analytics Program at NYU Stern. He was recognized by Thinkers50 as one of the Top 30 management thinkers most likely to shape the future of how organizations are managed and led in the next generation.
Anandasivam Gopal (“Impressionable or Immune? Examining the Influence of Marquee Sellers in B2B Secondary Market Platforms for IT Products”) is the President’s Chair of Information Systems and Innovation at Nanyang Business School, Nanyang Technological University, Singapore. He was previously the Dean’s Professor of Information Systems at the Smith School of Business, University of Maryland. His research interests are broadly in technology platforms, innovation, mobile platforms, and entrepreneurship. He received his PhD in information systems from the Tepper School of Business, Carnegie Mellon University.
Ram Gopal (“The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems”) is the Information Systems Society’s Distinguished Fellow and Alan Turing Institute’s Turing Fellow, a professor of information systems and management, and pro-dean for research, engagement, and impact at the Warwick Business School. He also serves as the academic director of the Gillmore Centre for Financial Technology. His research spans big data analytics, health informatics, financial technologies, information security, privacy and valuation, intellectual property rights, online market design and business impacts of technology.
Varun Grover (“Digital “x”—Charting a Path for Digital-Themed Research”) is the Billingsley Endowed Chair and Distinguished Professor at the Walton College, University of Arkansas. He ranks among the top five researchers globally based on top journal publications, citations, and h-index (98). His work focuses on information technology/digitalization business impacts. He served multiple terms as senior editor of premier information systems (IS) journals and major roles at IS conferences. He is an Association for Information Systems fellow and LEO recipient for lifetime achievement.
Zheyin (Jane) Gu (“Social Sharing, Public Perception, and Brand Competition in a Horizontally Differentiated Market”) is associate professor of marketing at University of Connecticut, School of Business. She obtained a PhD in marketing from New York University, Stern School of Business. Her area of expertise includes digital marketing and analytics, online retailing, social media, behavioral economics, and competitive marketing strategies. She has published in Journal of Marketing Research, Management Science, Marketing Science, Information Systems Research, and Management Information Systems Quarterly.
Alok Gupta (“Digital “x”—Charting a Path for Digital-Themed Research”) is the Curtis L. Carlson Schoolwide Chair in Information Management. He is the senior associate dean for faculty, research and administration. He has received numerous awards: National Science Foundation CAREER, INFORMS Information Systems Society (ISS) distinguished fellow, Association for Information Systems (AIS) fellow, AIS LEO, ISS President’s Service, AIS Impact, ISS Practical Impact, and ISS Design Science (thrice) Awards. His articles won best paper awards in Information Systems Research and Journal of the Association for Information Systems.
Yi-Jen (Ian) Ho (“Fun Shopping: A Randomized Field Experiment on Gamification”) is an assistant professor of information systems at the Smeal College of Business, Pennsylvania State University. He received his PhD from the Paul Merage School of Business at the University of California, Irvine. He is interested in the impacts of information technologies, focusing on location-based services, online platforms, and artificial intelligence. His work has appeared in premier journals, including Information Systems Research and Production and Operations Management.
Kartik Hosanagar (“To Brush or Not to Brush: Product Rankings, Consumer Search, and Fake Orders”) is the John C. Hower Professor of Operations, Information, and Decisions at the Wharton School, University of Pennsylvania. His research interests focus on the digital economy—in particular, the role of algorithms and analytics in e-commerce, online marketing, and digital media.
Yuheng Hu (“Brand Crisis and Customer Relationship Management on Social Media: Evidence from a Natural Experiment from the Airline Industry”) is an associate professor in the Department of Information and Decision Sciences at the College of Business Administration, University of Illinois, Chicago (UIC). Prior to joining UIC, he was a research scientist at IBM Research AI. He obtained his PhD in computer science from Arizona State University. His research focuses on the intersection of machine learning, digital media, and human–artificial intelligence interactions.
Dipak C. Jain (“Estimating Life Cycle Sales of Technology Products with Frequent Repeat Purchases: A Fractional Calculus-Based Approach”) is the president (European) and professor of marketing at the China Europe International Business School in Shanghai, China. He previously served as dean of INSEAD and Kellogg School of Management of Northwestern University, marketing department editor for Management Science, and area editor for Marketing Science. He has published around 70 articles in leading academic journals and received many awards and recognitions for his outstanding scholarly achievements, teaching, and service.
Zhengrui Jiang (“Estimating Life Cycle Sales of Technology Products with Frequent Repeat Purchases: A Fractional Calculus-Based Approach”) is a professor at the School of Business, Nanjing University. His research interests cover business intelligence, diffusion of innovations, and economics of information technology. He has published in leading journals including Management Science, MIS Quarterly, and Information Systems Research. He has served as an associate editor at Information Systems Research and MIS Quarterly and won the two journal’s Outstanding Associate Editor awards in 2021 and 2016, respectively.
Chen Jin (“To Brush or Not to Brush: Product Rankings, Consumer Search, and Fake Orders”) is an assistant professor in the Department of Information Systems and Analytics, National University of Singapore. His research interests include online platforms, information product bundling, and sustainability. Prior to joining the National University of Singapore, he was a postdoctoral research fellow at the Wharton School, University of Pennsylvania.
Subrahmanyam Aditya Karanam (“Design for Social Sharing: The Case of Mobile Apps”) is an assistant professor in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore. He received his PhD in information systems from McCombs School of Business, University of Texas at Austin. He also holds a bachelor’s in information systems from the Birla Institute of Technology and Sciences, Pilani (India), and an MS in economics from the University of Texas at Austin.
Johannes Knörr (“Pricing in Nonconvex Markets: How to Price Electricity in the Presence of Demand Response”) received his BS in management & technology from the Technical University of Munich and his MS with honors in finance & information management from the Technical University of Munich, University of Augsburg, and University of Bayreuth. He is currently a PhD candidate at the Chair of Decision Sciences & Systems at the Department of Informatics, Technical University of Munich. His research focuses on electricity market design and pricing with nonconvexities.
Subodha Kumar (“Should Doctors Open Online Consultation Services? An Empirical Investigation of Their Impact on Offline Appointments”) is the Paul R. Anderson Distinguished Chair Professor and founding director of the Center for Business Analytics and Disruptive Technologies at the Fox School of Business. He is a board member for many organizations. He has published more than 200 articles in refereed journals and conference proceedings, two books, and many chapters and cases. He is the deputy editor of Production and Operations Management and founding executive editor of the Management and Business Review.
Michael J. Lee (“Differential Impact of Content in Online Communication on Heterogeneous Candidates: A Field Study in Technical Recruitment”) is an assistant professor of information systems at the University of Nevada, Las Vegas. His research interests include the role of online social networks and user-generated content in investment, workforce, and healthcare contexts using natural language processing, machine learning, and econometric methods. His work has been published in Information Systems Journal and Production and Operations Management.
Hui Li (“The Consequences of Rating Inflation on Platforms: Evidence from a Quasi-Experiment”) (PhD, University of Pennsylvania, 2015) is professor of marketing at HKU Business School, The University of Hong Kong. Her research is in the area of quantitative marketing, with a particular interest in two-sided platforms, sharing economy, online-to-offline commerce, new technology and digital products, and their impact on society and traditional industries. Her research has been published in Marketing Science, Journal of Marketing Research, Management Science, Information Systems Research, Quantitative Marketing and Economics, and she was named a finalist for the John D. C. Little Award (2019). She was recognized as the MSI Young Scholar in 2021.
Xinxin Li (“Social Sharing, Public Perception, and Brand Competition in a Horizontally Differentiated Market”) is a professor of operations and information management at the School of Business at the University of Connecticut. She received her PhD from The Wharton School, University of Pennsylvania. Her research interests lie at the intersection of information systems and marketing. Her work has been published in Management Science, MIS Quarterly, Marketing Science, and Strategic Management Journal, among other journals. She is currently a senior editor for MIS Quarterly.
Siyuan Liu (“Fun Shopping: A Randomized Field Experiment on Gamification”) is an assistant professor at the Smeal College of Business, Pennsylvania State University. He received his PhD from the Department of Computer Science and Engineering at Hong Kong University of Science and Technology in 2011 and another PhD degree from the University of Chinese Academy of Sciences in 2014.
Ali Lotfi (“Estimating Life Cycle Sales of Technology Products with Frequent Repeat Purchases: A Fractional Calculus-Based Approach”) is currently pursuing a PhD in management science at Western University’s Ivey Business School. He received a PhD in applied mathematics form Shahid Beheshti University, Iran. Prior to joining the management science PhD program at Western University, he was an assistant professor of applied mathematics at Shahid Beheshti University. His current research concentrates on adoptions and repeat purchases of short life cycle technology products and factors influencing these purchases.
Aslan Lotfi (“Estimating Life Cycle Sales of Technology Products with Frequent Repeat Purchases: A Fractional Calculus-Based Approach”) is an assistant professor of analytics & operations at the Robins School of Business, University of Richmond. Dr. Lotfi received a PhD in information systems from the Debbie and Jerry Ivy College of Business at Iowa State University. Falling under the broad realm of predictive analytics and modeling, his current research studies the diffusion of a behavior (e.g., adopting a new technology product) in a target population and factors influencing individuals to commit the behavior.
Kalle J. Lyytinen (“Digital “x”—Charting a Path for Digital-Themed Research”) is Distinguished University Professor at Case Western Reserve University. He is among the top five information systems (IS) scholars in terms of h-index (95) and highest network centrality in the field. He is an Association for Information Systems fellow (2004) and the LEO Award recipient (2013). He has published more than 400 refereed articles and edited or written more than 30 books or special issues. He has won best paper awards from several societies and served as senior editor/editor to all IS journals and other journals.
Felipe Maldonado (“Pricing in Nonconvex Markets: How to Price Electricity in the Presence of Demand Response”) is a lecturer in data science and operational research at the University of Essex. Prior to joining Essex, he worked as a postdoctoral researcher at the Technical University of Munich. He obtained his PhD in computer science from the Australian National University, and he holds a mathematical engineering degree (BSc + MSc) from the University of Chile. His research focuses on developing computational models for electricity markets and supply chain.
Vishal Midha (“Differential Impact of Content in Online Communication on Heterogeneous Candidates: A Field Study in Technical Recruitment”) is a professor of business information systems at Illinois State University. His research interests include online professional networks, privacy and security concerns, and individual and organizational level adoption. His publications have appeared in Management Information Systems Quarterly, Information Systems Research, Decision Support Systems, Journal of Strategic Information Systems, and others.
Daniele Papismedov (“On the Same Page? What Users Benefit from a Desktop View on Mobile Devices”) is currently a data scientist in a leading fin-tech company. She received an MSc degree in data science and a BSc degree with a specialization in information systems from the Department of Industrial Engineering and Management at Ben-Gurion University of the Negev. Her research interests focus on mobile user behavior.
Foster Provost (“A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation”) is the Ira Rennert Professor of Entrepreneurship and Information Systems and the Director of Fubon Data Science and AI Initiative at the New York University Stern School of Business. He previously was editor-in-chief of the journal Machine Learning and was elected as a founding board member of the International Machine Learning Society. He stands out in data science for having made substantial contributions across research, practical applications, and business thought leadership.
Dandan Qiao (“Text Performance on the Vine Stage? The Effect of Incentive on Product Review Text Quality”) is an assistant professor in the Department of Information Systems and Analytics at National University of Singapore. Her research interests mainly focus on economics of information platforms and predictive analytics. Her work has been published in journals including Information Systems Research, MIS Quarterly, and the Journal of Management Information Systems.
Liangfei Qiu (“Brand Crisis and Customer Relationship Management on Social Media: Evidence from a Natural Experiment from the Airline Industry”, “Should Doctors Open Online Consultation Services? An Empirical Investigation of Their Impact on Offline Appointments”) is the PricewaterhouseCoopers Associate Professor in the Department of Information Systems and Operations Management, 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, telecommunication networks, and the economics of information systems.
T. S. Raghu (“Augmenting Social Bot Detection with Crowd-Generated Labels”) is a professor of information systems in the W. P. Carey School of Business at Arizona State University. He has served on the editorial boards of several journals including Information Systems Research, Decision Support Systems, Journal of the Association for Information Systems, and Information Systems Frontier. He recently guest edited a special issue of Information Systems Research: “Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations and Society.”
Huaxia Rui (“Text Performance on the Vine Stage? The Effect of Incentive on Product Review Text Quality”) is the Xerox Chair Professor at the Simon Business School and an inaugural distinguished researcher and scholar of the Center of Excellence in Data Science, University of Rochester. He is interested in data science and causal inference. His works have been published in journals such as Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Management Science, Production and Operations Management, and Journal of Financial Economics.
Arvin Sahaym (“Value Destruction in Information Technology Ecosystems: A Mixed-Method Investigation with Interpretive Case Study and Analytical Modeling”) is a professor and Huber fellow at the Carson College of Business, Washington State University. He researches real-world phenomena at the interface of technology, strategy, and entrepreneurship examining the impact of capabilities and contingencies on firm performance. His research has been published in journals such as Information Systems Research, MIS Quarterly, Organization Science, Journal of Applied Psychology, Journal of Business Venturing, and Strategic Management Journal.
Saonee Sarker (“Value Destruction in Information Technology Ecosystems: A Mixed-Method Investigation with Interpretive Case Study and Analytical Modeling”) is a professor of informatics at Lund University, Sweden. Her research focuses on topics such as human-artificial intelligence hybrids, sustainable technologies, and organizational innovation, and her publications have appeared in many leading journals such as MIS Quarterly and Information Systems Research. She is also the lead author of a Palgrave-Macmillan book on information technology and work-life balance. She has served as a senior editor at MIS Quarterly for two terms and is currently the director of diversity, equity, and inclusion at the same journal.
Suprateek Sarker (“The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems”, “Value Destruction in Information Technology Ecosystems: A Mixed-Method Investigation with Interpretive Case Study and Analytical Modeling”) is a Rolls-Royce Commonwealth Commerce Professor at the McIntire School of Commerce, University of Virginia. He is also an honorary professor at the University of Sydney. He is currently serving as the president of the Association for Information Systems and as the editor-in-chief of Information Systems Research.
Maha Shaikh (“Algorithmic Interactions in Open Source Work”) is a senior lecturer (associate professor) of digital innovation at King’s College London. Her research focuses on problematizing technology in open source communities and company engagement with communities. Maha was an associate editor for Information Systems Research and is a current associate editor for Management of Information Systems Quarterly. Maha holds a PhD in information systems from the London School of Economics and Political Science.
Anjana Susarla (“The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems”) is the Omura-Saxena Professor of Responsible AI at the Eli Broad College of Business at Michigan State University. She earned an undergraduate degree in mechanical engineering from the Indian Institute of Technology, Chennai; a graduate degree in Business Administration from the Indian Institute of Management, Calcutta; and PhD in information systems from the University of Texas at Austin. Her work has appeared in several academic journals and peer-reviewed conferences. She has served on and serves on the editorial boards of Information Systems Research and MIS Quarterly.
Rahul Telang (“The Consequences of Rating Inflation on Platforms: Evidence from a Quasi-Experiment”) is trustees professor of information systems at the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He also holds a courtesy appointment at the Tepper School of Business. He received his PhD in information systems from the Tepper School of Business in 2002. He has published extensively in all the top INFORMS and information systems journals and has also held senior editorial positions.
Jason Bennett Thatcher (“The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems”) holds the Milton F. Stauffer Professorship in the Department of Management Information Systems at the Fox School of Business of Temple University. He received degrees from the University of Utah and Florida State University. He is also a TUM ambassador for the Department of Computer Science at the Technical University of Munich. His work appears in Information Systems Research, MIS Quarterly, and Journal of Applied Psychology. He serves as senior editor at Information Systems Research and Journal of the Association for Information Systems. His projects now include visualizing climbing boulders, not mountains, and discouraging his daughter’s now too rampant subversive thoughts.
Emmanuelle Vaast (“Algorithmic Interactions in Open Source Work”) is a professor of information systems at the Desautels Faculty of Management of McGill University. Her research examines how social practices and identities emerge and change with digital technologies. Emmanuelle is a past division chair of the Communication, Technology, and Organization Division of the Academy of Management. She has served as senior editor for Information Systems Research.
Joseph Vithayathil (“Value Destruction in Information Technology Ecosystems: A Mixed-Method Investigation with Interpretive Case Study and Analytical Modeling”) is an associate professor and director of graduate programs in computer management and information systems at the School of Business, Southern Illinois University Edwardsville. He has extensive experience in the tech industry and serves on the board of SemiQ. He teaches at all levels and has developed new courses offerings in information security and business analytics. He has published extensively.
Lei Wang (“Fun Shopping: A Randomized Field Experiment on Gamification”) joins the Smeal College of Business, Pennsylvania State University after completing her PhD in the School of Business at the University of Connecticut in 2014. Her research interests include location-based services, gamification, digital health, and digital marketing. Her research has appeared in top information systems journals, including MIS Quarterly, Information Systems Research, and Production and Operations Management.
Stephanie Woerner (“Digital “x”—Charting a Path for Digital-Themed Research”) is director and principal research scientist at the Center for Information Systems Research at the Massachusetts Institute of Technology Sloan School of Management. She studies how companies use technology and data to create more effective business models and manage the associated organizational change. She teaches in executive education programs on digital transformation and has done presentations and workshops for top management teams and boards of large global firms.
Luyi Yang (“To Brush or Not to Brush: Product Rankings, Consumer Search, and Fake Orders”) is an assistant professor of operations and information technology management at the University of California, Berkeley, Haas School of Business. His research interests include service operations, digital marketplaces, and sustainability. Prior to joining Berkeley Haas, he was an assistant professor of operations management and business analytics at the Johns Hopkins University Carey Business School.
Qiqi Zhou (“Should Doctors Open Online Consultation Services? An Empirical Investigation of Their Impact on Offline Appointments”) received a BS degree from Anhui Normal University, Wuhu, China, in 2018, and an MS degree from Hefei University of Technology, Hefei, China, in 2021. She is currently a product specialist in the logistics industry in China. Her current research interests include medical empirical research and logistics route planning.
