About Our Authors
Panagiotis Adamopoulos (“Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model”) is an assistant professor at the Goizueta Business School at Emory University. He received his PhD from the Stern School of Business at New York University. His research studies how information systems and technological artifacts affect user behavior and transform business and society. His research has appeared in peer-reviewed academic journals and conferences, including Information Systems Research and MIS Quarterly.
Ashish Agarwal (“Developing a Composite Measure to Represent Information Flows in Networks: Evidence from a Stock Market”) is an associate professor in the Department of Information, Risk, and Operations Management, McCombs School of Business, The University of Texas at Austin. His research interests include social media advertising, economics of app ecosystems, network analysis, and online information and investment markets.
Mohammed Alyakoob (“Shared Prosperity (or Lack Thereof) in the Sharing Economy”) is an assistant professor of data sciences and operations at the Marshall School of Business, University of Southern California. Mohammed obtained his PhD from the Krannert School of Management, Purdue University, in 2019.
Chenzhang Bao (“Performance of Accountable Care Organizations: Health Information Technology and Quality–Efficiency Trade-Offs”) is an assistant professor of management science and information systems at the Spears School of Business at Oklahoma State University. His research focuses on the clinical and business impact of health IT and analytics, specifically in a value-based care environment. He has published his work in leading academic journals such as MIS Quarterly and Information Systems Research. He received his PhD in information systems from the University of Texas at Dallas.
Indranil R. Bardhan (“Performance of Accountable Care Organizations: Health Information Technology and Quality–Efficiency Trade-Offs”) is the Foster Parker Centennial Professor at the McCombs School of Business and the UT Dell Medical School, University of Texas at Austin. He is a distinguished fellow of the INFORMS Information Systems Society. His research focuses on healthcare analytics and digital health innovation, and has been funded by the National Science Foundation and the UT Health System. He holds a PhD in management science and information systems from the McCombs School of Business.
Alexander Benlian (“Sprint Zeal or Sprint Fatigue? The Benefits and Burdens of Agile ISD Practices Use for Developer Well-Being”) is a professor of information systems at Technische Universität Darmstadt. His research focuses on the digital transformation of work and people, information technology entrepreneurship, algorithmic management in organizational and platform environments, and human-computer interaction. He has published in MIS Quarterly, Entrepreneurship Theory & Practice, and MIS Quarterly Executive. He currently serves as a senior editor at European Journal of Information Systems.
Siddharth Bhattacharya (“Competitive Poaching in Search Advertising: Two Randomized Field Experiments”) is an assistant professor in the Information Systems and Operations Management Area in the School of Business at George Mason University. Before joining GMU, Siddharth completed his PhD from Temple University in 2021. Siddharth’s research focuses on how firms utilize digital information strategies to increase reach, and influence consumer decision making. Siddharth also holds an MBA from Indian School of Business and a BE in Computer Science Engineering from India.
Behnaz Bojd (“Gamified Challenges in Online Weight-Loss Communities”) is an assistant professor of information systems at the Merage School of Business, University of California Irvine. She received her PhD in business administration (information systems) at the University of Washington. Her research focuses on measuring the causal effect of information technologies on consumers’ behavior. She has empirically examined the design of online platforms such as online weight-loss communities and online dating mobile apps.
Ron T. Cenfetelli (“Overcoming the Single-IS Paradigm in Individual-Level IS Research”) holds the CANFOR Chair in MIS and is a professor of accounting and information systems at the University of British Columbia’s Sauder School of Business. Ron conducts research in human computer interaction, online customer service, and the negative aspects of technology usage. His research has been published in MIS Quarterly, Information Systems Research, and the Journal of MIS. He currently serves as a senior editor at MIS Quarterly.
Xi Chen (“Developing a Composite Measure to Represent Information Flows in Networks: Evidence from a Stock Market”) is a professor in the Department of Data Science and Engineering Management, School of Management, Zhejiang University. His research interests include mobile commerce, business analytics, data mining, and so on.
Ranjit M. Christopher (“Bypassing Performance Optimizers of Real Time Bidding Systems in Display Ad Valuation”), PhD, is an assistant professor in the Department of Marketing and Supply Chain Management at the Henry W. Bloch School of Management at the University of Missouri–Kansas City. His research interests are in the examination of novel pricing mechanisms, techniques for valuation, and the modeling of consumer response to marketing interventions. He received his doctoral degree in business administration at Arizona State University in 2016.
Faiz Currim (“Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data”) is a professor of practice in management information systems at the University of Arizona. He is the assistant director of the INSITE: Center for Business Intelligence and Analytics. He received his PhD from the University of Arizona and his PGDM from IIM Calcutta. His research is in the areas of data analytics, healthcare analytics, data modeling, and privacy.
Yuanyuan Dang (“Delivering Healthcare Through Teleconsultations: Implications for Offline Healthcare Disparity”) is an assistant professor in the Department of Industrial Engineering at South China University of Technology’s School of Business Administration. Her expertise focuses on healthcare IT, data analytics, and field experiments. Her work has been published in top academic journals such as MIS Quarterly.
Andreas Fügener (“Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation”) is professor of digital supply chain management at the University of Cologne. His research focuses on the intersection of humans and algorithms, including applications in healthcare. Andreas teaches undergraduate-, graduate-, and executive-level courses in general management, analytics, and supply chain management. Prior to joining academia, he served as a management consultant working in the automotive, financial services, and energy industries for several years.
Jin P. Gerlach (“Overcoming the Single-IS Paradigm in Individual-Level IS Research”) is a professor of data and information management at the School of Business, Economics, and Information Systems, University of Passau. Jin studies how the increasing digitalization impacts the lives of individuals, the organizational management of IS security and privacy, and the data-driven value creation within organizations. His research has been published or is forthcoming in MIS Quarterly, Information Systems Research, Journal of the AIS, and other outlets.
Anindya Ghose (“Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model”) is the Heinz Riehl chair professor of business at Stern School of Business of New York University. He is the author of TAP: Unlocking the Mobile Economy and a recipient of the INFORMS ISS Distinguished Fellow Award. His research has received 20 best paper awards and nominations. In 2020, he received the inaugural INFORMS ISS Practical Impact award. He is a department editor of Management Science. He has testified on complex litigation matters related to antitrust, competition, intellectual property, and copyright infringement.
Jing Gong (“Competitive Poaching in Search Advertising: Two Randomized Field Experiments”) is an assistant professor in the Department of Decision and Technology Analytics at the College of Business at Lehigh University. She holds a PhD degree in information systems and management from Carnegie Mellon University and a bachelor’s degree from Tsinghua University. Her work has been accepted for publication by journals, including Information Systems Research, MIS Quarterly, The Accounting Review, Journal of Management Information Systems, and Journal of Retailing.
Jörn Grahl (“How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment”) conducted this research while serving as a professor for information systems, digital transformation, and analytics at the University of Cologne. His research and teaching center around value creation in the age of digital and artificial intelligence. He is currently head of data science at the PHOENIX Group, where he drives the digital transformation of the organization in the areas of data-driven decision making.
Jörn Grahl (“Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation”) conducted this research while at the Faculty of Management, Economics, and Social Sciences at the University of Cologne, where he served as professor for digital transformation, and analytics. His work centers on value creation in the age of digital and artificial intelligence. He is currently head of data science at the PHOENIX Group, where he drives the digital transformation of the organization in the areas of data-driven decision making and advanced analytics.
Xitong Guo (“Delivering Healthcare Through Teleconsultations: Implications for Offline Healthcare Disparity”) is a professor of information systems and codirector of the eHealth Research Institute at the Harbin Institute of Technology. His research focuses on eHealth. He has published in Information Systems Research, Management Information Systems Quarterly, the Journal of Management Information Systems, and the Journal of the Association for Information Systems, among others.
Alok Gupta (“Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation”) is the senior associate dean for faculty, research and administration and Curtis L. Carlson Schoolwide Chair in Information Management at the Carlson School of Management, University of Minnesota. He was named INFORMS ISS Distinguished Fellow in 2014 and a fellow of Association for Information Systems in 2016. He has served in editorial positions in most major information systems journals, including Information Systems Research and Management Science.
Sang Pil Han (“Bypassing Performance Optimizers of Real Time Bidding Systems in Display Ad Valuation”), PhD, is an associate professor in the Department of Information Systems at the W. P. Carey School of Business at Arizona State University. His research focuses on artificial intelligence and business analytics. He has published in premier journals, such as Management Science, MIS Quarterly, and Information Systems Research. He has served as an associate editor at Information Systems Research. He advises Mathpresso, an artificial intelligence-powered education service company.
Cheng He (“Evaluating the Effectiveness of Marketing Campaigns for Malls Using a Novel Interpretable Machine Learning Model”) is an assistant professor of marketing at the University of Wisconsin-Madison. He earned his PhD in marketing from the Georgia Institute of Technology in 2020. His research employs econometric methodology and machine learning techniques to study topics such as sustainability, consumer search, brick-and-mortar retailing, and fintech.
Oliver Hinz (“How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment”) is a professor of information systems and information management at Goethe University in Frankfurt. He is interested in research at the intersection of technology and markets. His research has been published in Information Systems Research, MIS Quarterly, Journal of Marketing, Journal of Management Information Systems, Decision Support Systems, and Business & Information Systems Engineering.
Yu Jeffrey Hu (“Evaluating the Effectiveness of Marketing Campaigns for Malls Using a Novel Interpretable Machine Learning Model”) is the Sharon A. and David B. Pearce Professor at the Scheller College of Business at the Georgia Institute of Technology. He received a PhD from the Massachusetts Institute of Technology’s Sloan School of Management in 2005. His research uses econometric, machine learning, and analytical models to study consumer behaviors in environments such as electronic commerce, omnichannel retailing, offline commerce, social media, mobile app, fintech, and healthcare.
Elina H. Hwang (“Delivering Healthcare Through Teleconsultations: Implications for Offline Healthcare Disparity”) is an assistant professor of information systems at the Foster School of Business, University of Washington. She earned her PhD from the Tepper School of Business, Carnegie Mellon University, and MBA from the Anderson School of Management, University of California, Los Angeles. Her research focuses on social technologies and their impact on businesses and society. She employs econometrics, network analysis, and machine learning to analyze large-scale field data.
Fujie Jin (“Evaluating the Effectiveness of Marketing Campaigns for Malls Using a Novel Interpretable Machine Learning Model”) is an assistant professor in the Operations & Decisions Technologies Department at Kelley School of Business, Indiana University. She obtained her PhD in operations and information systems from the Wharton School, University of Pennsylvania, in 2016. Her research focuses on studying the impact of technology on organizations and user behaviors on digital platforms. Her research has been published in leading journals and conferences in the information systems field.
Karthik Kannan (“Identifying Perverse Incentives in Buyer Profiling on Online Trading Platforms”) is the Thomas Howatt Chaired Professor in Management at the Krannert School of Management, Purdue University. His research interests include studying digital transformation, analyzing digital traces for managerial insights, and investigating the issues related to the nature of future work. He received his PhD in information systems from Carnegie Mellon University in 2003.
Wolfgang Ketter (“Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation”) is a professor of information systems and director of the Institute of Energy Economics at the University of Cologne, where he leads research exploiting digital transformation to create faster, more stable transitions to sustainable energy and mobility. He is also a professor and director at Erasmus University Rotterdam, energy policy advisor to the German government, and member of the World Economic Forum. He served as editor of Information Systems Research and MIS Quarterly.
Warut Khern-am-nuai (“Identifying Perverse Incentives in Buyer Profiling on Online Trading Platforms”) is an assistant professor of information systems at the Desautels Faculty of Management, McGill University. His research interests include platforms for online marketplaces, predictive analytics, and management information security. He received his PhD in management information systems from the Krannert School of Management, Purdue University, in 2016.
Min-Kyu Kim (“Bypassing Performance Optimizers of Real Time Bidding Systems in Display Ad Valuation”) is a doctoral student in the department of the marketing at the W. P. Carey School of Business at the Arizona State University. His research interests are in the modeling of consumer behavior in e-commerce and the marketing practices in metaverse platforms.
Prabhudev Konana (“Developing a Composite Measure to Represent Information Flows in Networks: Evidence from a Stock Market”) is dean and professor at Robert H. Smith School of Business, University of Maryland. He previously served as associate dean of instructional innovation at McCombs School of Business, University of Texas at Austin. He was also the past chair of the Department of Information, Risk, and Operations Management in McCombs School of Business. His research interests are in digital strategies, sentiment extraction from virtual communities, and business value of information technology.
Sven Laumer (“Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation”) is the Schöller Endowed Professor of Information Systems in the school of business, economics and society, and deputy director of the Dr. Theo und Friedl Schöller Research Center at Friedrich-Alexander-Universität Erlangen-Nürnberg. He received his PhD from Bamberg University, Germany, in 2012. When he does not research and teach digital work and life, he enjoys being a soccer referee, hiking in the Alps, and spending time with friends and family.
Alvin Chung Man Leung (“Developing a Composite Measure to Represent Information Flows in Networks: Evidence from a Stock Market”) is an associate professor in the Department of Information Systems, College of Business, City University of Hong Kong. His research interests lie at the intersection of information systems and finance. His current research primarily focuses on information technology business value, business analytics, and information security.
Xitong Li (“How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment”) is an associate professor in the Department of Information Systems and Operations Management, HEC Paris. His recent research interests include the economic and social impacts of using online data/information and innovative technologies using online data and services. His research has been published in Information Systems Research, MIS Quarterly, and Journal of Management Information Systems.
Huigang Liang (“Save Face or Save Life: Physicians’ Dilemma in Using Clinical Decision Support Systems”) is Professor and FedEx Chair of Excellence in IS at the University of Memphis. His research focuses on socio-behavioral, managerial, and strategic IT issues at both individual and organizational levels in various contexts. His work has appeared in top journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, and others. He has served as associate editor for MIS Quarterly and is currently serving as Associate Editor for Information Systems Research and Senior Editor for Journal of the Association for Information Systems.
Xueming Luo (“Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model”) is the Charles Gilliland distinguished chair professor of marketing, professor of strategy and management information systems, and founder/director of the Global Institute for Artificial Intelligence & Business Analytics. His research has been featured by top-ranking journals in marketing, strategy, information systems, and management.
Christian Maier (“Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation”) has passed his habilitation at the University of Bamberg in 2020. His research interests include the IS use life cycle, especially the adoption, usage, and discontinuous usage of digital technologies. His research appears in MIS Quarterly and Information Systems Research. He was awarded the Schmalenbach prize and Early Career Awards by the AIS and the ACM SIGMIS. In his free time, he enjoys cycling and eating out with family and friends.
Tingting Nian (“Social Media Marketing, Quality Signaling, and the Goldilocks Principle”) is an assistant professor and a Hellman fellow in the Paul Merage School of Business at the University of California–Irvine. Previously, she received her PhD degree in information systems at Leonard N. Stern School of Business, New York University, and BS from Tsinghua University in Beijing, China. She received several grants and awards from institutions, including Think Forward Initiative, Hellman Foundation, Wharton Customer Analytics Initiative, and INFORMS.
Sungho Park (“Bypassing Performance Optimizers of Real Time Bidding Systems in Display Ad Valuation”), PhD, is an associate professor of marketing at the Seoul National University Business School. He is interested in studying consumers’ shopping behaviors in various retail settings. Currently, he is studying consumers’ mobile applications and digital goods usage behaviors. He has published papers in premier academic journals, such as the Journal of Marketing Research, Marketing Science, Management Science, Information Systems Research, the Journal of Marketing, and MIS Quarterly.
Mohammad S. Rahman (“Shared Prosperity (or Lack Thereof) in the Sharing Economy”) is an associate professor of management at Purdue’s Krannert School of Management. He was named one of the World’s Top 40 Business School Professors Under 40 by Poets and Quants in 2017 and has been recognized with different awards, including the INFORMS Sandy Slaughter Early Career Award and the Information Systems Research Best Associate Editor Award. He currently serves on the editorial boards of Management Science and Information Systems Research.
Arun Rai (“Configuring the Enterprise Systems Portfolio: The Role of Information Risk”) is a Regents’ Professor of the University System of Georgia and holds the Howard S. Starks Distinguished Chair at the Robinson College of Business at Georgia State University. He is the director and cofounder of the Center for Digital Innovation. He served as the editor-in-chief for the MIS Quarterly from 2016 to 2020 and received the LEO Award from the Association for Information Systems for lifetime exceptional contributions to the information systems discipline.
Sudha Ram (“Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data”) is an Anheuser-Busch endowed professor of management information systems, entrepreneurship & innovation and professor of computer science at the University of Arizona. She directs the INSITE: Center for Business Intelligence and Analytics. She received her PhD from the University of Illinois at Urbana-Champaign in 1985 and her PGDM from IIM Calcutta in 1981. Her research is in the areas of Big Data analytics, machine learning, and large-scale network science.
Rajib L. Saha (“Identifying Perverse Incentives in Buyer Profiling on Online Trading Platforms”) is an assistant professor of information systems at the Indian School of Business. His research interests include online platforms, pricing and operationalization of digital goods, business-to-business contracts, and network analytics. He received his MS and PhD in business administration from the University of Rochester, New York.
Chaitanya Sambhara (“Configuring the Enterprise Systems Portfolio: The Role of Information Risk”) is an assistant professor of information systems in the College of Business, University of Texas at Arlington. His research interests are in the business value of IT and IT-enabled business processes, risks, and controls. His work has been published in Journal of Management Information Systems, Information and Management, Communications of the Association for Information Systems, and Proceedings of the International Conference on Information Systems, among other outlets.
Wuyue (Phoebe) Shangguan (“Developing a Composite Measure to Represent Information Flows in Networks: Evidence from a Stock Market”) is an associate research fellow in the Department of Management Science, School of Management, Xiamen University. She earned a PhD in management science and engineering from Zhejiang University in 2020. Her current research interests include FinTech, social media, network analysis, digital investment platforms, and business analytics.
Xiaolong Song (“Gamified Challenges in Online Weight-Loss Communities”) is an associate professor at the School of Management Science and Engineering, Dongbei University of Finance and Economics, China. He received his PhD in information systems from the School of Management, Harbin Institute of Technology in 2015. His research interests are mainly focused on health information technology, sharing economy, social commerce, and social networks.
Chenshuo Sun (“Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model”) is a PhD candidate at New York University Stern School of Business. He has been conducting research developing and deploying artificial intelligence (AI) and economic methodologies in the area of digital economy. He is a winner of the J.P. Morgan AI Research PhD Fellowship Award 2021. His research has been awarded seven research grants from Marketing Science Institutes (MSI), Fubon Center for Tech, Business and Innovation and several other corporations. His research has been selected for presentations at more than 50 top conferences and workshops.
Arun Sundararajan (“Social Media Marketing, Quality Signaling, and the Goldilocks Principle”) is the Harold Price professor of entrepreneurship and professor of technology, operations and statistics at New York University’s (NYU) Stern School of Business and an affiliated faculty member at many of NYU’s interdisciplinary research centers, including the Center for Data Science. His research studies how digital technologies transform business, government, and civil society. He is the author of the best-selling and award-winning book The Sharing Economy.
Yong Tan (“Delivering Healthcare Through Teleconsultations: Implications for Offline Healthcare Disparity”) is the Michael G. Foster Endowed Professor of Information Systems at the Michael G. Foster School of Business, University of Washington, and a distinguished fellow of the INFORMS Information Systems Society. His research interests include economics of information systems, social media and networks, sharing economy, fintech, health IT, and big data analytics. He has published in Information Systems Research, Management Science, and Management Information Systems Quarterly, among others.
Yong Tan (“Gamified Challenges in Online Weight-Loss Communities”) is the Michael G. Foster Endowed Professor of Information Systems at the Michael G. Foster School of Business, University of Washington, and a distinguished fellow of the INFORMS Information Systems Society. His research interests include economics of information systems, social media and networks, sharing economy, fintech, health information technology, and big data analytics. He has published in Information Systems Research, Management Science, MIS Quarterly, among others.
Jason Bennett Thatcher (“Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation”) 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. His work appears in MIS Quarterly, Information Systems Research, and Journal of Applied Psychology. He has served as senior editor at Information Systems Research and MIS Quarterly. His current projects include training to climb mountains and encouraging his daughter’s subversive thoughts.
Tong Wang (“Evaluating the Effectiveness of Marketing Campaigns for Malls Using a Novel Interpretable Machine Learning Model”) is an assistant professor of business analytics at the Tippie College of Business, University of Iowa. She earned her PhD in computer science from the Electrical Engineering and Computer Science Department at the Massachusetts Institute of Technology in 2016. Her research focuses on developing novel interpretable machine learning models to replace or assist humans in making sound management decisions in various business contexts.
Yun Wang (“Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data”) is a data scientist with Microsoft. He received his PhD from the University of Arizona. He has expertise in machine learning, large-scale network analysis, and deep learning. His work is published in outlets such as Information Systems Research and IEEE Intelligent Systems.
Sunil Wattal (“Competitive Poaching in Search Advertising: Two Randomized Field Experiments”) is a professor of management information systems and Harold Schaefer Senior Fellow at the Fox School of Business, Temple University. His work has been published in MIS Quarterly, Information Systems Research, Management Science, Journal of Management Information Systems, Journal of Association of Information Systems, and IEEE Transactions on Software Engineering. Sunil completed his PhD in information systems at the Tepper School of Business at Carnegie Mellon University.
Tim Weitzel (“Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation”) is a full professor and Chair of Information Systems and Services at the University of Bamberg, Germany, and director of the Centre of Human Resource Information Systems. His current interests are in IT management, technostress, and the future of work. Tim’s research has been published in all major IS journals and conferences and cited more than 7,000 times.
Jakob Wirth (“Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation”) received his PhD from the University of Bamberg, Germany, in 2020 and works now in the public sector. His general research interests refer to privacy-related topics from an individual point of view. His research results have been published in the European Journal of Information Systems, electronic markets, internet research as well as various conferences.
Sean Xin Xu (“Configuring the Enterprise Systems Portfolio: The Role of Information Risk”) is a professor at the School of Economics and Management, Tsinghua University. His current research interests include how to leverage “digital enablement” to improve business performance and how to effectively govern the life cycle of IT investment. His work has been published in MIS Quarterly, Information Systems Research, and Management Science, among others. He serves on the editor board of MIS Quarterly as a senior editor.
Yajiong Xue (“Save Face or Save Life: Physicians’ Dilemma in Using Clinical Decision Support Systems”) is a professor of MIS at College of Business, East Carolina University (ECU). Her research has appeared in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, among others. Her research interests include information technology governance, strategic management of information technology, and healthcare information systems. She is codirector of big data and analytics research cluster for ECU and associate editor for Communications of the AIS.
Xiangbin Yan (“Gamified Challenges in Online Weight-Loss Communities”) is a professor in the School of Economics and Management at the University of Science and Technology Beijing, China. He received his PhD from the Harbin Institute of Technology in 2004. His research interests include electronic commerce, social media analytics, social network analysis, and business intelligence. His research has appeared in journals such as Information Systems Research, Production and Operations Management, and Journal of Management Information Systems.
