Knowledge that Transforms

Patrick J. Bateman (“ Research Note: The Impact of Community Commitment on Participation in Online Communities ”) is an assistant professor at the Williamson College of Business Administration, Youngstown State University. He earned his Ph.D. at the University of Pittsburgh. His professional experience includes working as a technical analyst, corporate education manager, and financial analyst in the financial services industries. His work has been published in Artifact, presented at international conferences, and received a best paper award at the Americas Conference on Information Systems. His research interests include the dynamics of online communities, virtual worlds, knowledge management, and electronic commerce. Izak Benbasat (“ Research Note: The Influence of Trade-off Difficulty Caused by Preference Elicitation Methods on User Acceptance of Recommendation Agents Across Loss and Gain Conditions ”) is a fellow of the Royal Society of Canada and CANADA Research Chair in Information Technology Management at the Sauder School of Business, University of British Columbia. He currently serves on the editorial board of the Journal of Management Information Systems. He was editor-in-chief of Information Systems Research, editor of the Information Systems and Decision Support Systems Department of Management Science, and a senior editor of MIS Quarterly. Brian S. Butler (“ Research Note: The Impact of Community Commitment on Participation in Online Communities ” and “ Research Note: Knowledge Exploration and Exploitation: The Impacts of Psychological Climate and Knowledge Management System Access ”) is an associate professor at the Joseph M. Katz Graduate School of Business and associate professor of clinical and translational research at the University of Pittsburgh. His research interests include the dynamics of online communities and other technology-supported groups, the politics of technology implementation in organizations, organizational-cognition-based approaches to achieving reliable performance from unreliable systems, social computing, mass collaboration, power and IT, health care and IS, and management of complex systems for reliable organizational performance. His work has appeared in MIS Quarterly, Organization Science, the Journal of Management Information Systems, Information Systems Research, Communications of the AIS, Management Information Systems Quarterly, and the Journal of Biomedical Informatics. Ronald T. Cenfetelli (“ Identifying and Testing the Inhibitors of Technology Usage Intentions ”) is an assistant professor of management information systems at the University of British Columbia's Sauder School of Business. He holds a Ph.D. from the University of British Columbia, an M.B.A. from Indiana University's Kelley School of Business, and a B.S. in aerospace engineering from Purdue University. He conducts research in areas such as e-business and online customer service, the strategic uses of information technology, the influences of technology on immoral behavior, the behavioral and emotional aspects of technology usage, and human-computer interfaces. Before entering academics, he worked in the pharmaceutical industry in both production and technology-management roles. He also has a prior career as a U.S. naval officer. His research has published in MIS Quarterly, Information Systems Research, and the Journal of AIS, among others. Sanjukta Das (“ Risk Management and Optimal Pricing in Online Storage Grids ”) is an assistant professor of management science and systems at the State University of New York, Buffalo. Her research has been published in the INFORMS Journal on Computing and the Journal of Organizational Computing and Electronic Commerce. She has presented her work at several internationally recognized information systems conferences and workshops such as the Workshop on Information Technologies and Systems (WITS), the Conference on Information Systems and Technology (CIST), and the Workshop on Information Systems Economics (WISE). Fred D. Davis (“ NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research ”) is a Distinguished Professor and David D. Glass Chair in information systems at the Sam M. Walton College of Business at the University of Arkansas, and a USA Visiting Professor of service systems mangement and engineering at the Sogang Business School at Sogang University in Seoul, Korea. He earned his Ph.D. at MIT's Sloan School of Management and was a faculty member at the University of Michigan, University of Minnesota, and University of Maryland. His research interests include user acceptance of information technology, technology-supported decision making, computer training and skill acquisition, and systems development practices. Angelika Dimoka (“ NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research ”) is an assistant professor of marketing and management information systems at the Fox School of Business, Temple University. She is also the director of the Center for Neural Decision Making. She received her Ph.D. from the University of Southern California. Her research interests lie in decision neuroscience, neuromarketing, neuroIS, and e-commerce. Her research has appeared in Information Systems Research, MIS Quarterly, IEEE Transactions in Biomedical Engineering, Annals of Biomedical Engineering, and Neuroscience Methods. Anna Ye Du (“ Risk Management and Optimal Pricing in Online Storage Grids ”) is a doctoral candidate in the Department of Management Science and Systems at the State University of New York, Buffalo. Her research has been published in Information Systems Research and Information Technology and Management. Alexandra Durcikova (“ Research Note: Knowledge Exploration and Exploitation: The Impacts of Psychological Climate and Knowledge Management System Access ”) is an assistant professor at the Eller College of Management, University of Arizona. She received her Ph.D. from the University of Pittsburgh. Her research interests include knowledge management and the role of organizational climate, system characteristics, and governance mechanisms in the use of knowledge management systems; and network security. Her work has appeared or will appear in Information Systems Research, the Journal of Management Information Systems, Communications of the ACM, the International Journal of Knowledge Management, the Electronic Journal of Knowledge Management, as well as various national and international conference proceedings. Kelly J. Fadel (“ Research Note: Knowledge Exploration and Exploitation: The Impacts of Psychological Climate and Knowledge Management System Access ”) is an assistant professor of management information systems at the Huntsman School of Business at Utah State University. He received his Ph.D. from the University of Arizona. His research areas include knowledge management, end-user learning, and postadoptive technology use. His research has appeared or will appear in journals such as Information Systems Research, Communications of the Association for Information Systems, and Data Base for Advances in Information Systems, and he has received awards at several international IS conferences. Dennis F. Galletta (“ Research Note: Knowledge Exploration and Exploitation: The Impacts of Psychological Climate and Knowledge Management System Access ”) is an AIS Fellow and a professor at the University of Pittsburgh. He served as program cochair for the International Conference on Information Systems (ICIS) 2005 and the Americas Conference on Information Systems (AMCIS) 2003, chair of International Conference on Information Systems 2011, the first AMCIS, ICIS Treasurer 1994–1998, AIS President 2007–2008, AIS Council Member 1996–1997 and 2006–2009, and editor in chief of AIS World 2004–2006. His work has been published in Management Science, Information Systems Research (ISR), the Journal of Management Information Systems (JMIS), the European Journal of Information Systems, the Journal of Association for Information Systems, Communicaitons of the ACM, among others, and he has served on editorial boards for such publications as MIS Quarterly, ISR, and JMIS. Ram Gopal (“ Risk Management and Optimal Pricing in Online Storage Grids ”) is a professor and the head of the Department of Operations and Information Management at the University of Connecticut. Some of his recent work has been published in journals such as the INFORMS Journal on Computing, Information Systems Research, the Journal of Management Information Systems, and the Communications of the ACM. Peter H. Gray (“ Research Note: The Impact of Community Commitment on Participation in Online Communities ”) is an assistant professor at the McIntire School of Commerce, University of Virginia. His research focuses on the collaborative impacts of social technologies, organizational networks, virtual teams, online communities, and knowledge management systems. His research has been published in a range of leading journals, including MIS Quarterly, Management Science, the Journal of Management Information Systems, the Journal of Strategic Information Systems, and Information Technology and People. Kunsoo Han (“ Research Note: Returns to Information Technology Outsourcing ”) is an assistant professor of information systems at the Desautels Faculty of Management at McGill University. He received his Ph.D. from the University of Minnesota. His research interests include the business value of IT, IT outsourcing, and interorganizational information systems. His research is published in Information Technology and Management and the Journal of Management Information Systems. Kartik Hosanagar (“ Usercentric Ope

Gediminas Adomavicius (“ REQUEST: A Query Language for Customizing Recommendations ”) is an associate professor of information and decision sciences at the Carlson School of Management, University of Minnesota. He received his Ph.D. in computer science from New York University. His research interests include personalization, recommender systems, data mining, and complex electronic market mechanisms. His research has been published in several leading information systems and computer science journals, including Information Systems Research, MIS Quarterly, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, INFORMS Journal on Computing, and Data Mining and Knowledge Discovery. He is an associate editor at Information Systems Research and INFORMS Journal on Computing. He received the NSF CAREER award in 2006 for his research on personalization technologies. Ritu Agarwal (“ Competing ‘Creatively’ in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance ”) is the Robert H. Smith Dean's Chair at the Robert H. Smith School of Business, University of Maryland. She is also the Director of the Center for Health Information and Decision Systems at the Smith School. She is also currently serving as the editor-in-chief of Information Systems Research. Her current research examines the transformation of healthcare through information technology. She is also working on understanding the effects of health 2.0 and online communities on patient outcomes. Ritu has published extensively in a variety of journals. Animesh Animesh (“ Competing ‘Creatively’ in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance ”) is an assistant professor at the Desautels Faculty of Management, McGill University, Canada. He studies the adoption, design, and impact of Internet technologies and electronic commerce. Animesh has a Ph.D. from the University of Maryland, a master's degree in information systems management from Carnegie Mellon University, and a bachelor's degree in business studies from Delhi University. Subhajyoti Bandyopadhyay (“ The Debate on Net Neutrality: A Policy Perspective ”) is currently an assistant professor in the Department of Information Systems and Operations Management, University of Florida. He received his Ph.D. in MIS from Purdue University in 2002. His work has been published in several journals in information systems and operations management. His current research interests include economics of information systems, and information systems policy issues, especially in the area of net neutrality and health informatics. Ravi Bapna (“ A Finite Mixture Logit Model to Segment and Predict Electronic Payments System Adoption ”) is an associate professor in the Information and Decision Sciences Department, Carlson School of Management, University of Minnesota. He also serves as the Executive Director of the Centre for Information Technology and the Networked Economy (CITNE) at the Indian School of Business. His research has been extensively published in a wide array of journals such as Management Science, Informs Journal on Computing, Statistical Science, Information Systems Research, the Journal of Retailing, MIS Quarterly, Decision Sciences, CACM, Naval Research Logistics, DSS, EJOR, and ITM. Hock Chuan Chan (“ Conceptualizing and Testing a Social Cognitive Model of the Digital Divide ”) is an associate professor at the Department of Information Systems, National University of Singapore, Singapore. He has a B.A. and an M.A. from the University of Cambridge, as well as a Ph.D. from the University of British Columbia. His main research areas are user-database interaction, spreadsheet visualization, and information systems acceptance. He has published in conferences such as ICIS, PACIS, HICSS, and ECIS, and journals such as ACM Transactions on Computer-Human Interaction, Decision Support Systems, IEEE Transactions on Professional Communication, International Journal of Human Computer Studies, Journal of Database Management, and MIS Quarterly. He is on the editorial board of AIS Transactions on Human-Computer Interaction, Journal of Database Management, and Journal of Electronic Commerce Research. Ramnath K. Chellappa (“ Price Formats as a Source of Price Dispersion: A Study of Online and Offline Prices in the Domestic U.S. Airline Markets ”) is an associate professor at the Goizueta Business School, Emory University. He is known for his work on the economics of digital goods piracy and information privacy and is widely published in top IS journals and conferences. He routinely consults for the entertainment industry and is associated with the first academic coinage of the term “cloud computing.” He received his Ph.D. from the McCombs School of Business at the University of Texas at Austin. Hsing Kenneth Cheng (“ The Debate on Net Neutrality: A Policy Perspective ”) is an associate professor and Walter J. Matherly Professor in the Department of Information Systems and Operations Management, University of Florida. He received his Ph.D. in computers and information systems from University of Rochester in 1992. His research interests focus on economics of information systems, information systems policy issues, and computer-mediated social networks. Alan R. Dennis (“ Profiting from Knowledge Management: The Impact of Time and Experience ”) is a professor of information systems and holds the John T. Chambers Chair of Internet Systems in the Kelley School of Business at Indiana University. He has served as a senior editor at MIS Quarterly, and as the publisher of MIS Quarterly Executive (http://www.misqe.org). Prof. Dennis has written more than 100 research papers focusing on four main themes: the use of computer technologies to support team creativity and decision making, knowledge management, the use of the Internet to improve business and education, and professional issues facing IS academics. Rajiv M. Dewan (“ Firms as Incubators of Open-Source Software ”) is an associate professor of computers and information systems at the William E. Simon Graduate School of Business Administration at the University of Rochester. His research interests include management of information systems in organizations, markets for information goods and services, and electronic commerce. His research appears in Management Science, the Journal of Management Information Systems, Communications of the ACM, the Journal of Computing, and other journals. Kutsal Doğan (“ Managing the Versions of a Software Product Under Variable and Endogenous Demand ”) is an assistant professor at the University of Texas at Dallas. He holds a Ph.D. degree in decision and information sciences from University of Florida. He is interested in economics of information products and services, development, and pricing issues in closed- and open-source software. His research also includes marketing and consumer promotions and particularly issues applying to Internet businesses. Doğan serves on the editorial boards of Decision Sciences Journal and International Journal of E-Business Research. Marshall Freimer (“ Firms as Incubators of Open-Source Software ”) is a professor of management science and computers and information systems at the William E. Simon Graduate School of Business Administration, the University of Rochester. He utilizes applied probability and decision sciences to analyze problems in information management, electronic commerce, marketing, and healthcare. His papers have appeared in engineering, management, economics, mathematics, and statistics journals. Esther Gal-Or (“ Compatibility and Proprietary Standards: The Impact of Conversion Technologies in IT Markets with Network Effects ”) is the Glenn E. Stinson Chair in competitiveness at the Katz Graduate School of Business, University of Pittsburgh. She received her Ph.D. from the Kellogg Graduate School of Management at Northwestern University in 1980. Dr. Gal-Or's research interests are in industrial organization, game theory, and the industrial structure of healthcare and media markets. Her research has been published in economics and management journals such as Econometrica, Review of Economic Studies, Journal of Economic Theory, Bell (RAND) Journal of Economics, Journal of Economics and Management Strategy, Journal of Business, Management Science, and Marketing Science. Paulo Goes (“ A Finite Mixture Logit Model to Segment and Predict Electronic Payments System Adoption ”) is the Salter Distinguished Professor of management and technology and the head of the MIS Department, University of Arizona. His research has appeared in several journals, including Management Science, MISQ, ISR, and is or has been an associate editor of Management Science, Decision Sciences, the JMIS, Production and Operations Management, and the INFORMS Journal on Computing. Hong Guo (“ The Debate on Net Neutrality: A Policy Perspective ”) is a Ph.D. candidate in the Department of Information Systems and Operations Management at Warrington College of Business Administration, University of Florida. Her research interests include economic analysis of IS policy issues, network analysis and computer-mediated social networks, quantum computing, and quantum games. Yonghua Ji (“ Managing the Versions of a Software Product Under Variable and Endogenous Demand ”) is an assistant professor in the Department of Accounting and MIS at the School of Business, University of Alberta. He received his Ph.D. in management with a concentration in information systems from the University of Texas at Dallas in 2003. His research has been published in

Alessandro Acquisti (“ The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study ”) received his Ph.D. at UC Berkeley in 2003. He is an Associate Professor at the Heinz College, Carnegie Mellon University. His work on the economics and behavioral economics of privacy has been published in journals such as Proceedings of the National Academy of Science, Marketing Science, Marketing Letters, and IEEE Security & Privacy and has been featured in outlets such as NPR, NBC, MSNBC.com, Washington Post, New York Times, Wall Street Journal, and New Scientist. Anitesh Barua (“ Contracting Efficiency and New Firm Survival in Markets Enabled by Information Technology ”) is the Mr. and Mrs. William F. Wright, Jr. Centennial Professor for Management of Innovative Technology and Distinguished Teaching Professor in the Department of Information, Risk and Operations Management in the McCombs School of Business at the University of Texas at Austin. He received his Ph.D. from Carnegie Mellon University. His research has appeared in several refereed journals and conference proceedings, such as MIS Quarterly, Organization Science, Information Systems Research, Journal of Management Information Systems, Journal of Productivity Analysis, and Sloan Management Review. Martin Bichler (“ An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions ”) received his Ph.D., as well as his Habilitation, from the Vienna University of Economics and Business Administration. He has worked as a research fellow at University of California, Berkeley and as a research staff member at the IBM T. J. Watson Research Center, Yorktown Heights, New York. Since 2003, he has been Full Professor at the Department of Informatics of the TU München and a faculty member at the TU München School of Management. Lorrie Cranor (“ The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study ”) received her DSc. from Washington University in St. Louis in 1996 and is an Associate Professor of Computer Science and of Engineering & Public Policy at Carnegie Mellon University, where she is director of the CyLab Usable Privacy and Security Laboratory (CUPS). She has authored more than 80 research papers about online privacy, phishing and semantic attacks, spam, electronic voting, anonymous publishing, usable access control, and other topics. She was previously a researcher at AT&T Labs Research. Sanjeev Dewan (“ Information Technology and Firm Boundaries: Impact on Firm Risk and Return Performance ”) is an associate professor in information systems at the Paul Merage School of Business at UC Irvine. His research and teaching interests are in the economics of information technology and in electronic commerce. He has served as a senior editor at Information Systems Research and as an associate editor at Management Science. Professor Dewan received his Ph.D. in business administration from the Simon School at the University of Rochester. Serge Egelman (“ The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study ”) is a postdoctoral researcher at Brown University. He received a Ph.D. from Carnegie Mellon University's School of Computer Science in 2009. His research focuses on helping end users make better privacy and security decisions when using computers. He has consulted Microsoft on creating more intuitive security interfaces, and his research has received publicity from such news outlets as the BBC, Scientific American, NPR, The Guardian, PC World, and Pittsburgh Post-Gazette. Anindya Ghose (“ Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets ”) is an assistant professor of IOMS at New York University. He received his Ph.D. from Carnegie Mellon University. His research interests include the economics of electronic commerce, user-generated content, and search engine advertising. He received the NSF CAREER Award in 2007 for his research on estimating the value of user-generated content in electronic markets and its monetization through online advertising. He is also a winner of the 2007 Microsoft Virtual Earth and the 2006 Microsoft Live Labs awards for his work on examining the economic value of textual user-generated content on the Internet. He has published in Management Science, Information Systems Research, Statistical Science, Marketing Letters, MIS Quarterly, JEMS, and JMIS. He serves as an Associate Editor of Management Science and ISR. Bin Gu (“ Environmental Uncertainty and IT Infrastructure Governance: A Curvilinear Relationship ”) is an Assistant Professor at the Red McCombs School of Business, University of Texas at Austin. He received his Ph.D. from the Wharton School, University of Pennsylvania. His research focuses on electronic commerce, online social networks, and strategic management of information technology in enterprise settings. His work has appeared in several journals, including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of Retailing, and Decision Support Systems. Kemal Guler (“ An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions ”) is a principal scientist at Hewlett-Packard Laboratories, Palo Alto, California. He received his Ph. D. in game theory from Caltech, his MSc. in economics from Baylor University, and his B.Sc. in economics from Bogazici University. He was previously an assistant professor of economics at the University of Houston. His research interests include game theory, microeconomics, and econometrics with a primary focus on modeling business decision problems from an empirical mechanism design perspective. Alok Gupta (“ An Analysis of Incentives for Network Infrastructure Investment Under Different Pricing Strategies ”) holds the Curtis L. Carlson School-wide Chair in Information Management at Carlson School of Management, University of Minnesota. He received his Ph.D. in MSIS from UT, Austin in 1996. He has published more than 40 articles in top management science, operations research, economics, and IS journals. He received the prestigious NSF CAREER award in 2001 for his research on online auctions. He serves on the editorial boards of Management Science, ISR, JMIS, and DSS. J.J. Po-An Hsieh (“ Addressing Digital Inequality for the Socioeconomically Disadvantaged Through Government Initiatives: Forms of Capital That Affect ICT Utilization ”) is currently an assistant professor at Hong Kong Polytechnic University. He received his Ph.D. from Georgia State University and an MBA degree from the University of Maryland. His research focuses on the areas of digital divide and IS implementation, usage, and success. He has published in MIS Quarterly, European Journal of Information Systems, and others, and he has presented papers at the International Conference on Information Systems and the Academy of Management Annual Conference. Varghese S. Jacob (“ Vendor and Client Interaction for Requirements Assessment in Software Development: Implications for Feedback Process ”) is Senior Associate Dean and Ashbel Smith Professor of Management Information Systems in the School of Management at the University of Texas at Dallas (UTD). His research interests are in data quality, electronic commerce, software engineering, decision support systems, and artificial intelligence applications. His research papers have been published in the premier journals in the field. He is coeditor-in-chief of the journal Information Technology and Management and also serves on the editorial boards of several other journals. Rajiv Jayanth (“ Vendor and Client Interaction for Requirements Assessment in Software Development: Implications for Feedback Process ”) is a Ph.D. candidate at the University of Texas at Dallas. He received his M.S. in computer science and M.S. in telecom engineering from the University of Texas at Dallas. His professional experience includes developing and testing software for telecom networks. His research interest lies in the intersection of economics, information systems, and psychology. He has presented his work at several conferences and workshops in North America, Europe, and Asia. Monica Johar (“ Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures ”) is an assistant professor of MIS at University of North Carolina at Charlotte. She received a Ph.D. in management science with a concentration in MIS from University of Texas at Dallas in 2006. Her research interests include software development methodologies, content delivery systems, knowledge management, and Web personalization. She is a member of AIS and INFORMS. Her research has been published in IS journals such as Information Systems Research. Boris Jukic (“ An Analysis of Incentives for Network Infrastructure Investment Under Different Pricing Strategies ”) is an associate professor of operations and information systems at the School of Business at Clarkson University. In 1998, he received his Ph.D. in management science and information systems from University of Texas at Austin. His research has been published in various information systems, economics, and computer science journals, such as Computational Economics, Information Systems, DSS, M&SOM and IEEE Internet Computing. He can be reached via email at [email protected] . Mark Keil (“ Addressing Digital Inequality for the Socioeconomically Disadvantaged Through Government Initiatives: Forms of Capital That Affect ICT Utilization ”) is the Board of Advisors Professor of Computer Information Systems at Georgia State University. His research focuses on IT project management, and he has published more than 70 j

Cooperative caching is a popular mechanism to allow an array of distributed caches to cooperate and serve each others' Web requests. Controlling duplication of documents across cooperating caches is a challenging problem faced by cache managers. In this paper, we study the economics of document duplication in strategic and nonstrategic settings. We have three primary findings. First, we find that the optimum level of duplication at a cache is nondecreasing in intercache latency, cache size, and extent of request locality. Second, in situations in which cache peering spans organizations, we find that the interaction between caches is a game of strategic substitutes wherein a cache employs lesser resources towards eliminating duplicate documents when the other caches employs more resources towards eliminating duplicate documents at that cache. Thus, a significant challenge will be to simultaneously induce multiple caches to contribute more resources towards reducing duplicate documents in the system. Finally, centralized decision making, which as expected provides improvements in average latency over a decentralized setup, can entail highly asymmetric duplication levels at the caches. This in turn can benefit one set of users at the expense of the other, and thus will be challenging to implement.

Business organizations are generating growing volumes of data about their employees, customers, and suppliers. Much of these data cannot be exploited for business value due to privacy and confidentiality concerns. National statistical agencies share sensitive data collected from individuals and businesses by modifying the data so individuals and firms cannot be identified but statistical utility is preserved. We build on this literature to develop a hybrid approach to data masking for business organizations. We demonstrate the validity of the hybrid approach, which we call multiple imputation with multimodal perturbation (MIMP), using Monte Carlo simulation and illustrate its application in a specific business context. Results of our analysis open new areas of research for information systems scholarship and new potential revenue sources for business organizations.

Online auction markets play increasingly important roles for resource allocations in distributed systems. This paper builds upon a market-based framework presented by Guo et al. (Guo, Z., G. J. Koehler, A. B. Whinston. 2007. A market-based optimization algorithm for distributed systems. Management Sci. 53(8) 1345–1458), where a distributed system optimization problem is solved by self-interested agents iteratively trading bundled resources in a double auction market run by a dealer. We extend this approach to a dynamic, asynchronous Internet market environment and investigate how various market design factors including dealer inventory policies, market communication patterns, and agent learning strategies affect the computational market efficiency, market liquidity, and implementation. We prove finite convergence to an optimal solution under these various schemes, where individual rational and budget-balanced trading leads to an efficient auction outcome. Empirical investigations further show that the algorithmic implementation is robust to a number of dealer and agent manipulations and scalable to larger sizes and more complicated bundle trading markets. Interestingly, we find that, though both asynchronous communication and asymmetric market information negatively affect the speed of market convergence and lead to more agent welfare loss, agents' ability to predict market prices has a positive effect on both. Contrary to conventional wisdom that a dealer's intertemporal liquidity provisions improve market performance, we find that the dealer's active market intervention may not be desirable in a simple market trading environment where an inherent market liquidity effect dominates, especially when the dealer owns a significant amount of resources. Different from the traditional market insight, our trading data suggest that high trading volume does not correlate to low price volatility and quicker price discovery.

Ritu Agarwal (“ The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information” and “Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare ”) is a professor and the Robert H. Smith Dean's Chair of Information Systems at the Robert H. Smith School of Business, University of Maryland, College Park. She is also the founder and director of the Center for Health Information and Decision Systems at the Smith School. Ritu has published over 75 papers on information technology management topics in journals such as Information Systems Research, MIS Quarterly, Management Science, Communications of the ACM, Journal of Management Information Systems, Decision Sciences, IEEE Transactions, and Decision Support Systems. She has served as a senior editor for MIS Quarterly and Information Systems Research. Her current research is focused on the use of IT in health-care settings, information privacy and security, social networks and their impacts, and consumer behavior in technology-mediated settings. Catherine L. Anderson (“ The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information ”) is a visiting assistant professor in the Information Systems Program in the Decision, Operations, and Information Technologies Department of the Robert H. Smith School of Business at the University of Maryland. Cathy's research interests broadly involve understanding how organizations and individuals respond to vulnerabilities introduced by increased dependence on technology. Her current work is in behavioral aspects of security, consumer health information technology, and technology reliability. Ravi Aron (“ The Impact of Automation of Systems on Medical Errors: Evidence from Field Research ”) is an Assistant Professor at the Johns Hopkins Carey Business School and a senior fellow at the Mack Center for Technological Innovation at The Wharton School at the University of Pennsylvania. His research focuses on the role of IT in global sourcing of knowledge-intensive services and IT as an enabler of health-care delivery. His research has appeared in journals such as Management Science, Journal of Management Information Systems, and The Harvard Business Review. Subhajyoti Bandyopadhyay (“ An Analysis of the Adoption of Digital Health Records Under Switching Costs ”) is an Associate Professor in the Department of Information Systems and Operations Management in the University of Florida. He received his doctorate in MIS from Purdue University in 2002. His work has been published in several journals in the areas of information systems, operations management, and marketing. His current research interests include economics of information systems and public policy, especially in the areas of net neutrality, national broadband policy, and health informatics. Michael Barrett (“ Unity in Diversity: Electronic Patient Record Use in Multidisciplinary Practice ”) is Director of Programmes and Reader in IT and Innovation at Judge Business School, University of Cambridge. His research interests include the role and use of knowledge exchange and service innovation in healthcare. He has also studied electronic trading in global financial markets, global software outsourcing, open innovation, and the adoption of mobile technologies in emerging economies. He is senior editor of the Journal of the Association of Information Systems and has served as an Associate Editor of MIS Quarterly and Information Systems Research. His work has been published in a number of journals including the Academy of Management Journal, Information Systems Research, and Accounting Organisations and Society. Jack Barron (“ An Analysis of the Adoption of Digital Health Records Under Switching Costs ”) is the Loeb Professor of Economics in the Department of Economics, the Krannert School of Management, Purdue University. He received his doctorate in Economics from Brown University. His current research interests include labor economics, industrial organization, and the economics of information and uncertainty. He has published in journals such as the Journal of Labor Economics, the International Journal of industrial Organization, the Journal of Financial Economics, and the American Economic Review. Alain Bensoussan (“ When Hackers Talk: Managing Information Security Under Variable Attack Rates and Knowledge Dissemination ”) is Ashbel Smith Professor and the Director of ICDRiA at the University of Texas at Dallas. He is also Chair Professor of Risk and Decision Analysis at the Hong Kong Polytechnic University and World Class University Distinguished Professor at Ajou University. He is Professor Emeritus at the University of Paris Dauphine and has an extensive research background in stochastic control, probability, and stochastic processes. Professor Bensoussan served as President of National Institute for Research in Computer Science and Control (INRIA) from 1984 to 1996, President of the French Space Agency (CNES) from 1996 to 2003, and Chairman of the European Space Agency (ESA) Council from 1999 to 2002. He is a member of the French Academy of Sciences, French Academy of Technology, Academia Europae, and International Academy of Astronautics. His distinctions include IEEE Fellow, SIAM Fellow, Von Humboldt Award, and the NASA public service medal. Professor Bensoussan is a decorated Officer of Legion d'Honneur , Commandeur Ordre National du Merite and Officer Bundes Verdienst Kreuz. David Bodoff (“ Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior ”) is Lecturer at the University of Haifa Graduate School of Management. He received his Ph.D. from New York University's Stern School of Business. His research is about technical, behavioral, and economic and financial aspects of information search. His research has been published in Experimental Economics, ACM Transactions on Information Systems; in information science journals such as Journal of the American Society for Information Science and Technology; and at computer science conferences such as ACM SIGIR and NIPS. Susan A. Brown (“ Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management Through the Lens of Loose Coupling ”) is McCoy-Rogers Fellow and associate professor of MIS in the Eller College of Management at the University of Arizona. She received her Ph.D. from the University of Minnesota. Her research focuses on the implementation, adoption, and diffusion of technology in various contexts, with particular interest in collaborative technologies. Her research has been published in MIS Quarterly, Organizational Behavior and Human Decision Processes, Journal of MIS, Journal of the AIS, and others. Hsinchun Chen (“ Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management Through the Lens of Loose Coupling ”) is McClelland Professor of Management Information Systems at the University of Arizona. He received his B.S. degree from the National Chiao-Tung University in Taiwan, his MBA degree from SUNY Buffalo, and his Ph.D. degree in Information Systems from the New York University. He is author/editor of 20 books, 25 book chapters, 210 SCI journal articles, and 140 refereed conference articles covering digital library, intelligence analysis, biomedical informatics, data/text/web mining, and knowledge management. Yi-Da Chen (“ Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management Through the Lens of Loose Coupling ”) is currently a doctoral student of Management Information Systems in the Eller College of Management at the University of Arizona. He is minoring in sociology with a concentration in organizational theory and social network analysis. His research takes a temporal perspective to analyze the evolution of virtual collaboration in areas such as public health and virtual project teams and draws implications for the development of information systems in those areas. Elizabeth Davidson (“ Unity in Diversity: Electronic Patient Record Use in Multidisciplinary Practice ”) is the W. Ruel Johnson Professor of Information Technology Management and Department Chair at the Shidler College of Business, University of Hawaii Manoa. Health information technology diffusion and social change associated with health IT have been a focus of her research on electronic medical record systems in hospitals and small physician practices. Dr. Davidson has served as associate editor for MIS Quarterly and the European Journal of Information Systems and on the editorial board of numerous journals. Dr. Davidson worked as an IT project manager in Fortune 500 firms before earning her Ph.D. in Information Technologies from MIT's Sloan School of Management. Shantanu Dutta (“ The Impact of Automation of Systems on Medical Errors: Evidence from Field Research ”) is Dave and Jeanne Tappan Chair in Marketing and Vice Dean for Graduate Programs at Marshall School of Business, University of Southern California. His research spans strategic marketing issues including how firms can use distribution, strategic partnerships, and value pricing to build competitive advantage. He has published in several leading marketing, economics, law and strategy journals. He serves on the editorial review boards for Journal of Marketing Research, Marketing Science, and Marketing Letters. Guodong (Gordon) Gao (“ Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare ”) is an assistant professor in the Decisions, Operations and Information Technologies Department at Robert H Smith School of Business,

Organizations are increasingly choosing to implement service-oriented architectures to integrate distributed, loosely coupled applications. These architectures are implemented as services, which typically use XML-based messaging to communicate between service consumers and service providers across enterprise networks. We propose a scheme for caching fragments of service response messages to improve performance and service quality in service-oriented architectures. In our fragment caching scheme, we decompose responses into smaller fragments such that reusable components can be identified and cached in the XML routers of an XML overlay network within an enterprise network. Such caching mitigates processing requirements on providers and moves content closer to users, thus reducing bandwidth requirements on the network as well as improving service times. We describe the system architecture and caching algorithm details for our caching scheme, develop an analysis of the expected benefits of our scheme, and present the results of both simulation and case study-based experiments to show the validity and performance improvements provided by our caching scheme. Our simulation experimental results show an up to 60% reduction in bandwidth consumption and up to 50% response time improvement. Further, our case study experiments demonstrate that when there is no resource bottleneck, the cache-enabled case reduces average response times by 40%–50% and increases throughput by 150% compared to the no-cache and full message caching cases. In experiments contrasting fragment caching and full message caching, we found that full message caching provides benefits when the number of possible unique responses is low while the benefits of fragment caching increase as the number of possible unique responses increases. These experimental results clearly demonstrate the benefits of our approach.

The existence and persistence of price dispersion for identical products in online markets have been well-documented in the literature. Possible explanations of this price dispersion, derived mainly using hedonic price models, have seen only modest success. In this paper, we propose a competitive model based on online retailers' differentiation mainly in service provided and recognition enjoyed to explain price dispersion. Our exploratory empirical analyses, using cross-sectional data, demonstrate that the competitive model provides a better explanation of the association between prices and online retailers' service and recognition levels. In addition, our competitive model is able to explain observations that are seemingly inconsistent with the hedonic model such as the negative association between service and price. This paper contributes to the literature on price dispersion by offering a differentiation model that provides a good fit with data and by proposing a theory that explains previous counterintuitive observations of prices. Our model also helps an e-tailer to choose a desirable position in the competitive market.