9 research outputs found
Computational genomics methods to probe cellular and microbial heterogeneity and interactions in cancer
No full textCancer is the result of genomic alterations that drive malignant cell growth in an environment that permits their flourishing and immune evasion. It is a disease in multicellular organism in which individual cells successively devolve into selfish cells with abnormal phenotypes and interactions with their environments. The heterogeneity in tumor microenvironments, which includes varying local physical properties, arrangements of normal and immune cells, and resident or colonizing microbiome, coupled with the diversity of genomic drivers and the co-evolution of this entire system, makes cancer a highly personalized and complex disease. A better understanding of the components in tumors and their interactions is critical to the design of new treatments and could aid in the clinical management of cancer patients. Next-generation sequencing technologies have enabled the widespread profiling of tumors at various scales. In this dissertation, I develop and apply three main computational methods to analyze heterogeneities and interactions in cancer primarily using single-cell RNA-sequencing (scRNA-seq) data.
I developed Census, a biologically intuitive and fully automated cell-type identification method for scRNA-seq data that can deeply annotate normal cells in mammalian tissues and identify malignant cells and their likely cell of origin. Motivated by the inherently stratified developmental programs of cellular differentiation, Census infers hierarchical cell-type relationships and uses gradient-boosted decision trees that capitalize on nodal cell-type relationships to achieve high prediction speed and accuracy. When benchmarked on 44 atlas-scale normal and cancer, human and mouse tissues, Census significantly outperforms state-of-the-art methods across multiple metrics and naturally predicts the cell-of-origin of different cancers. I use Census to identify disseminated pancreatic tumors cells in liver samples without evidence of metastasis and we characterize this rare cell-type.
Cell-cell interactions are the fundamental building blocks of tissue organization and multicellular life. I developed Neighbor-seq, a method to identify the architecture of direct cell-cell interactions and relevant ligand-receptor signaling from the undissociated cell fractions in scRNA-seq data. Neighbor-seq accurately identifies microanatomical features of diverse tissue types such as the small intestinal epithelium, terminal respiratory tract, and splenic white pulp. It also captures the differing topologies of cancer-immune-stromal cell communications in pancreatic and skin tumors, which are consistent with the patterns observed in spatial transcriptomic data. Neighbor-seq provides a framework to study the organ-level cellular interactome in health and disease, bridging the gap between single-cell and spatial transcriptomics.
Lastly, I developed SAHMI, a computational resource to identify truly present microbial nucleic acids and filter contaminants and spurious false-positive taxonomic assignments from standard transcriptomic sequencing of mammalian tissues. In benchmark studies, SAHMI correctly identifies known microbial infections present in diverse tissues. I then use SAHMI to interrogate tumor-microbiome interactions in two human pancreatic cancer cohorts. I identify somatic-cell associated bacteria in a subset of tumors and their near absence in nonmalignant tissues. These bacteria predominantly pair with tumor cells, and their presence associates with cell-type specific gene expression and pathway activities, including cell motility and immune signaling. Modeling results indicate that tumor-infiltrating lymphocytes closely resemble T-cells from infected tissues. Finally, using multiple independent datasets, a signature of cell-associated bacteria predicts clinical prognosis.
Collectively, the algorithms I developed shed light on cancer as a multicellular disease with complex cell-cell and cell-microbe interactions. These tools probe single-cell genomic data at three levels: the identity of individual cells, direct cell-cell interactions, and the recovery of microbial content and its association with host cells. I apply these to find subsets of pancreatic cancer with varying immune subtypes, microorganisms, and survival statistics. My work deepens our understanding of pancreatic cancer specifically, and my studies more generally advance methods to extract signal from complex and noisy biological datasets.Ph.D.Includes bibliographical reference
Effect of extraction temperature on antimicrobial and antioxidant properties of Assam tea
No full textTea is traditionally prepared by boiling dry leaves in water. This study was taken to evaluate the effect of extraction temperature on antimicrobial and antioxidant properties of Assam tea (Camellia sinensis var. assamica). Dry tea leaves were extracted in water at 4°C, 37°C and by boiling at 100°C, and antimicrobial as well as antioxidant activities of the extracts were compared. Antibacterial activity was determined by agar cup diffusion assay against two important pathogens; Staphylococcus aureus and Vibrio cholerae. Antioxidant property was monitored by total reducing power (TRP) assay, ferric reducing antioxidant power (FRAP) assay and 2,2\u27-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) assay. Our results show that maximum antibiotic activities of the extracts are obtained by boiling tea leaves. We also show that boiling of tea leaves does not lead to loss of antioxidant properties
Tunable biclustering algorithm for analyzing large gene expression data sets
No full textTraditional clustering approaches for gene expression data are not well adapted to address the complexity and heterogeneity of tumors, where small sets of genes may be aberrantly co-expressed in specific subsets of tumors. Biclustering algorithms that perform local clustering on subsets of genes and conditions help address this problem. We have proposed a graph-based Tunable Biclustering Algorithm (TuBA) (Chapter 2) based on a novel pairwise proximity measure that leverages the size of the data sets to identify subsets of tumor samples that co-express subsets of genes at their highest or lowest levels relative to other samples.
We applied TuBA to three large gene expression datasets encompassing a total of 3,940 breast invasive carcinoma (BRCA) patients (Chapter 3). We demonstrated that there was significant agreement between the results obtained for each data set, and discovered that about 50% of the altered co-expression signatures were associated with a subtype of the disease that exhibits low levels of expression of the estrogen hormone receptor 1 (ER) and the human epidermal growth factor receptor 2 (HER2) genes. Tumors belonging to this subtype are labelled as ER-/HER2-. Since only 15% of all BRCA patients are estimated to have tumors that belong to this subtype, our algorithm was able to highlight the tremendous heterogeneity in alterations within tumors of this subtype. Quite significantly, more than 50% of these signatures were associated with alterations in the DNA that results in amplification (or deletion) of genes’ copies, which subsequently result in higher (or lower) level of gene expression. Thus, TuBA was especially effective in identifying transcriptionally active copy number variations in tumor samples. Finally, TuBA identified biclusters that were associated with the tumor microenvironment, which included biclusters associated with infiltrating immune and stromal cells. These can improve our understanding about the role played by the microenvironment in modulating tumor progression.
We showed that TuBA outperforms other algorithms in identification of co-expressed genes located in transcriptionally active copy number altered sites (Chapter 4). Moreover, from a differential co-expression perspective, TuBA offers an advantage over other methods since no prior specification of subsets of samples (conditions) is necessary; the nature of our proximity measure ensures that such differential co-expression signatures are preferentially identified.
In summary, our method identified a multitude of altered transcriptional profiles associated with the tremendous heterogeneity of diseased states in breast cancer. Exploring the diversity of these aberrant signatures can help identify potential biomarkers of clinical relevance that can further improve treatment outcomes, especially for ER-/HER2- breast cancers. Although transcriptomic alterations are not the ultimate determinants of progression of disease, our algorithm holds the promise to improve therapeutic selection and design by identifying significantly altered transcriptional patterns associated with tumors.Ph.D.Includes bibliographical reference
Rencontres improvisées entre New York et Kolkata : analyse collaborative d’une étude transculturelle
No full textInternational audienceFollowing a cross-disciplinary approach, we will explore two different musical improvisation cultures, one issuing from the jazz tradition in the United States, the other from Northern Indian classical named Hindustani music. At the crossroads of ethnomusicology, anthropology, and cognitive linguistics, this trans-cultural study stems from an ethnographic project lead within the New York free improvisation scene, carried out through the analysis of interviews and listening sessions following studio and public performance recordings (Cance & Cloiseau, 2015 ; Pras, in revision). In January 2015, two of the most active musicians taking part in the ethnographic study, Jim Black, (drums), and Mickaël Attias (saxophone), improvised for the first time with two Indian masters, Subhajyoti Guha (tabla), and Sougata Roy Choudhurym (sarod), both accustomed to improvising in musical contexts outside the Hindustani tradition. The gatherings mainly aim at bringing under scrutiny how these outstanding improvisers adapt to a totally novel situation.The idea of bringing into contact both these improvisation cultures came from a personal observation of the first author—listening to 60s’ Afro-American free jazz and traditional Hindustani music provided her with a similar type of energy, which is part and parcel of both musical genres. Both genres have met several times in the past, with the famous example of John Coltrane who went to study in India towards the end of his life in order to stretch out the limits of his improvisations (Turner, 1975), and that of the sitar player Ravi Shankar who might have described jazz as a child’s game (quoted by Farrell, 2000, p.189), but whose collaborations with American musicians significantly influenced Hindustani musical traditions (Slawek, 1993). Our transcultural study was conducted in close collaboration with Jonathan and Andrew Kay, two Toronto born jazz saxophone players who have been living for eight years in Kolkota where they are the students of a Hindustani music guru. In the wake of John Coltrane, J. and A. Kay are searching for an improvised music that transcends tradition and culture.Before the joint improvised sessions, the first author carried out individual interviews with the two Indian masters to investigate their personal improvisation processes. Our interview guide was made up of questions quite similar to those used for the New York study, which enablesus to compare the answers on both musicological and linguistic grounds. However, on consulting J. and A. Kay, some terms were adapted so that our questions might take into account the specificity of local improvisation tradition. The questions go over the earliest improvisation experiences, the current motivations of the musicians to keep on playing, and how their improvisation might be tied to their personal lives. « Improvised meetings » consisted of four duos each of which brought together an Indian and a New York musician, followed by a quatuor session and a quatuor concert. The experimental procedure for duos—an alternation of improvisation, listening and individual and collective interview phases was elaborated from Jacques Theureau’s (2010) self-assessment interview approach, from the meeting of two instigators of free jazz with a young artist from the NewYork noise scene (Pras & Lavergne, en révision), and from two psychology case studies about understanding and misunderstanding between improvisers who play together for the first time (Pras et al., 2015 ; Schober & Spiro, 2014).Our collaborative analysis of verbal descriptions is carried out simultaneously along three axes. The first author looks into the contents of the data, mainly for musicological and cultural aspects linked with the musical excerpts selected by the musicians. The second author focuses her linguistic and cognitive analysis on expression modes used in the discourse about musical improvisation as a practice and a synesthetic experience, and on how the musicians position themselves in relation with their discourses so as to identify their individual and/or collective conceptualisations of musical improvisation. The third author analyses the verbal data with a prosodic-semantic outlook, using prosody analysis tools developed by usingcontrastive oral corpora. Reusing the cross-disciplinary approach designed within the framework of the New York study makes it possible to shed light on different facets of the improvised meetings and to compare our results between the different studies.The four musicians showed remarkable open-mindedness all along the meetings during which unexpected musical moments took place. Notions of language and vocabulary kept cropping up in individual interviews and listening sessions as tools the improvisers could use to communicate with another culture. Differences in the relationship with the audience and the way to go about concentration also emerged from the data.Thanks to the mixity of verbal and musical data collected through different complementary protocols, our transcultural study fits in the theoretical framework of musical practice and creative process analysis according to Nicolas Donin and Jacques Theureau’s approach. It is part of a larger scale research project aiming mainly at analysing the improvisation practices of outstanding musicians from different cultures. We take note of how these personal practices and culture-dependent learning practices are related, without going into detailing these traditions. On the contrary, we aim at charting the state of affairs in a current musical context where the boundaries between musical genres are thinning out. This transculturalstudy will therefore be followed by other improvised meetings, the next one being scheduled in Argentina next year
Rencontres improvisées entre New York et Kolkata : analyse collaborative d’une étude transculturelle
No full textInternational audienceFollowing a cross-disciplinary approach, we will explore two different musical improvisation cultures, one issuing from the jazz tradition in the United States, the other from Northern Indian classical named Hindustani music. At the crossroads of ethnomusicology, anthropology, and cognitive linguistics, this trans-cultural study stems from an ethnographic project lead within the New York free improvisation scene, carried out through the analysis of interviews and listening sessions following studio and public performance recordings (Cance & Cloiseau, 2015 ; Pras, in revision). In January 2015, two of the most active musicians taking part in the ethnographic study, Jim Black, (drums), and Mickaël Attias (saxophone), improvised for the first time with two Indian masters, Subhajyoti Guha (tabla), and Sougata Roy Choudhurym (sarod), both accustomed to improvising in musical contexts outside the Hindustani tradition. The gatherings mainly aim at bringing under scrutiny how these outstanding improvisers adapt to a totally novel situation.The idea of bringing into contact both these improvisation cultures came from a personal observation of the first author—listening to 60s’ Afro-American free jazz and traditional Hindustani music provided her with a similar type of energy, which is part and parcel of both musical genres. Both genres have met several times in the past, with the famous example of John Coltrane who went to study in India towards the end of his life in order to stretch out the limits of his improvisations (Turner, 1975), and that of the sitar player Ravi Shankar who might have described jazz as a child’s game (quoted by Farrell, 2000, p.189), but whose collaborations with American musicians significantly influenced Hindustani musical traditions (Slawek, 1993). Our transcultural study was conducted in close collaboration with Jonathan and Andrew Kay, two Toronto born jazz saxophone players who have been living for eight years in Kolkota where they are the students of a Hindustani music guru. In the wake of John Coltrane, J. and A. Kay are searching for an improvised music that transcends tradition and culture.Before the joint improvised sessions, the first author carried out individual interviews with the two Indian masters to investigate their personal improvisation processes. Our interview guide was made up of questions quite similar to those used for the New York study, which enablesus to compare the answers on both musicological and linguistic grounds. However, on consulting J. and A. Kay, some terms were adapted so that our questions might take into account the specificity of local improvisation tradition. The questions go over the earliest improvisation experiences, the current motivations of the musicians to keep on playing, and how their improvisation might be tied to their personal lives. « Improvised meetings » consisted of four duos each of which brought together an Indian and a New York musician, followed by a quatuor session and a quatuor concert. The experimental procedure for duos—an alternation of improvisation, listening and individual and collective interview phases was elaborated from Jacques Theureau’s (2010) self-assessment interview approach, from the meeting of two instigators of free jazz with a young artist from the NewYork noise scene (Pras & Lavergne, en révision), and from two psychology case studies about understanding and misunderstanding between improvisers who play together for the first time (Pras et al., 2015 ; Schober & Spiro, 2014).Our collaborative analysis of verbal descriptions is carried out simultaneously along three axes. The first author looks into the contents of the data, mainly for musicological and cultural aspects linked with the musical excerpts selected by the musicians. The second author focuses her linguistic and cognitive analysis on expression modes used in the discourse about musical improvisation as a practice and a synesthetic experience, and on how the musicians position themselves in relation with their discourses so as to identify their individual and/or collective conceptualisations of musical improvisation. The third author analyses the verbal data with a prosodic-semantic outlook, using prosody analysis tools developed by usingcontrastive oral corpora. Reusing the cross-disciplinary approach designed within the framework of the New York study makes it possible to shed light on different facets of the improvised meetings and to compare our results between the different studies.The four musicians showed remarkable open-mindedness all along the meetings during which unexpected musical moments took place. Notions of language and vocabulary kept cropping up in individual interviews and listening sessions as tools the improvisers could use to communicate with another culture. Differences in the relationship with the audience and the way to go about concentration also emerged from the data.Thanks to the mixity of verbal and musical data collected through different complementary protocols, our transcultural study fits in the theoretical framework of musical practice and creative process analysis according to Nicolas Donin and Jacques Theureau’s approach. It is part of a larger scale research project aiming mainly at analysing the improvisation practices of outstanding musicians from different cultures. We take note of how these personal practices and culture-dependent learning practices are related, without going into detailing these traditions. On the contrary, we aim at charting the state of affairs in a current musical context where the boundaries between musical genres are thinning out. This transculturalstudy will therefore be followed by other improvised meetings, the next one being scheduled in Argentina next year
Evaluation of results of “Trochanteric Femoral Nailing (TFN) “ in comminuted unstable trochanteric fractures
No full textABSTRACT: Background: In recent years, intramedullary nails for the treatment of comminuted and unstable intertrochanteric hip fractures have gained prominence relative to conventional, sliding hip screws. The purpose of our study was to evaluate the result of Trochanteric femoral nailing in comminuted, unstable Trochanteric fracture femur in terms of anatomical restoration and functional outcome.Materials & Methods : It is a prospective and without control study. Trochanteric femoral nailing has been done in selected 25 patients and they are followed up postoperatively for at least 12 months. Pre-operative and post-operative clinical and radiological parameters are compared accordingly.Results: Union in all cases. Overall complication rate 12% including some implant related complications. Functional outcome on Harris Hip Score is comparable with standard literature.Conclusions: For treatment of intertrochanteric hip fractures, particularly with comminuted fracture fragments, an intramedullary devices offer beneficial features in comparison with the extramedullary devices. Further biomechanical and clinical studies are necessary to validate the efficacy of the trochanteric femoral nail, but in our experience this is an improvement over the currently available devices. Level of Evidence- Level 1 therapeutic study
About Our Authors
No full text 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, University of Maryland, College Park. Jie Mein Goh (“ Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare ”) is an assistant professor of Information Systems at IE Business School in Madrid. Shuk Ying Ho (“ Timing of Adaptive Web Personalization and Its Effect on Online Consumer Behavior ”) is an associate professor at the School of Accounting and Business Information Systems, Australian National University. She received her Ph.D. in information systems from the Hong Kong University of Science and Technology in 2004. Her research interests include electronic commerce, online consumer behavior, and personalization technology. Her papers have appeared in MIS Quarterly, Information Systems Research, the European Journal of Operational Research, and many others. Steve Howard (“ Putting Yourself in the Picture: An Evaluation of Virtual Model Technology as an Online Shopping Tool ”) has worked in many areas of HCI, including usability engineering, use-centered innovation, and “post-usability” interpretations of user experience. Steve's current primary focus is “IT in the wild,” mostly mobile and pervasive computing applied to problems of real social need. Paul Jen-Hwa Hu (“ Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management Through the Lens of Loose Coupling ”) is Professor and David Eccles Scholar at the David Eccles School of Business, University of Utah. His research interests include information technology in health care, technology implementation management, e-commerce, digital government, and knowledge management. Hu has published papers in Journal of MIS, Journal of AIS, Decision Sciences, Decision Support Systems, Communications of the ACM, various IEEE Transactions, ACM Transactions on MIS, and Journal of the American Society for Information Science and Technology. Ramkumar Janakiraman (“ The Impact of Automation of Systems on Medical Errors: Evidence from Field Research ”) is an assistant professor of Marketing and a Shelley and Joe Tortorice '70 Faculty Research Fellow at the Mays Business School, Texas A&M University. His research interests are in the domain of econometric modeling of firm and consumer decision making. They include structural learning models, discrete choice models, customer relationship management, and new product adoption & development. Ram's has published in journals such as Management Science, Journal of Marketing and Journal of Marketing Research. Robert B. Johnston (“ Putting Yourself in the Picture: An Evaluation of Virtual Model Technology as an Online Shopping Tool ”), BSc, DipEd, MSc, PhD is Professor and John Sharkey Chair of Information Systems and Organisation at University College Dublin. His main research areas are electronic commerce, interorganisational information systems, and theoretical foundations of information systems. He has over 100 refereed publications, many in leading international journals including Management Science, European Journal of Information Systems, International Journal of Electronic Commerce, Journal of the Operational Research Society, and International Journal of Production Economics. Gerald C. (Jerry) Kane (“ IS Avoidance in Health-Care Groups: A Multilevel Investigation ”) is an Assistant Professor of Information Systems at Boston College's Carroll School of Management. His research interests include exploring the role of information systems in social networks, organizational applications and implications of social media, and the use of IT in health-care organizations. Prof. Kane is a recent recipient of a CAREER Award (0953285) from the National Science Foundation for research on using social media to manage knowledge. His published research has appeared in such journals as MIS Quarterly, Information Systems Research, Organization Science, and Harvard Business Review, among others. Dr. Kane received his Ph.D. from the Goizueta Business School of Emory University and his M.B.A. in Computer Information Systems from Georgia State University. Prior to his career as an academic, he was ordained as a clergyperson in the United Methodist Church. Seung Hyun Kim (“ Learning Curves of Agents with Diverse Skills in Information Technology-Enabled Physician Referral Systems” and “Determining Optimal CRM Implementation Strategies ”) is an assistant professor of information systems at National University of Singapore. He received his Ph.D. (2008) and M.Sc. (2005) from Carnegie Mellon University and his bachelor's degrees in economics, applied statistics, and business administration from Yonsei University in Korea (2002). His primary research interests include economics of information security, knowledge management, and customer relationship management. Chwan-Chuen King (“ Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management Through the Lens of Loose Coupling ”) is a professor at the Institute of Epidemiology, College of Public Health, National Taiwan University. She received her Ph.D. from the University of California, Los Angeles. Her research interests include surveillance of infectious diseases, epidemiologic changes of influenza viruses, and epidemiology and public health policies. She has been an advisor for the Centers of Disease Control in Taiwan on epidemiology and health policies of severe acute respiratory syndrome and pandemic influenza preparedness. Giuseppe (Joe) Labianca (“ IS Avoidance in Health-Care Groups: A Multilevel Investigation ”) earned his Ph.D. in Business Administration at Penn State. He is a Gatton Endowed Associate Professor of Management at the University of Kentucky's Gatton College of Business and Economics. He was previously on faculty at Emory's Goizueta Business School and Tulane's Freeman School of Business. His main research stream involves examining organizational behavior from a social network perspective, including recent work on network approaches to groups, interpersonal conflict, gossip, organizational justice, job satisfaction, and interpersonal control. His work has appeared in Science, the Academy of Management Journal, the Academy of Management Review, Harvard Business Review, Organization Science, Strategic Organization, and elsewhere. He is currently serving on the editorial board of Organization Science and as an Executive Committee member of the Academy of Management's Organization and Management Theory (OMT) Division. He recently won the OMT Division's Best Paper Award, Goizueta's Alumni Award for Excellence in Research, and the University of Kentucky Alumni Association's Great Teacher Award. Radha Mookerjee (“ When Hackers Talk: Managing Information Security Under Variable Attack Rates and Knowlege Dissemination ”) is a Clinical Assistant Professor of Information Systems at the School of Management, University of Texas at Dallas. She holds a Ph.D. in Management, with a major in MIS, from Purdue University. Her current research interests include social networks, software maintenance, knowledge-based systems, and object-oriented technologies. Her teaching interests include database management, Java technologies, and enterprise resource planning systems. She has published in and has articles forthcoming in several archival information systems, computer science, and operations research journals. Prior to joining UT Dallas, she was a computing architect in the Computing Architectures and Design Group at the Boeing Company. Vijay Mookerjee (“ When Hackers Talk: Managing Information Security Under Variable Attack Rates and Knowledge Dissemination ”) is the Charles and Nancy Davidson Distinguished Professor of Information Systems at the School of Management, University of Texas at Dallas. He holds a Ph.D. in Management, with a major in MIS, from Purdue University. His current research interests include social networks, optimal software development methodologies, storage and cache management, content delivery systems, and the economic design of expert systems and machine learning systems. He has published in and has articles forthcoming in several archival information systems, computer science, and operations research journals. He serves (or has served on) on the editorial boards of Management Science, Information Systems Research, INFORMS Journal on Computing, Operations Research, Decision Support Systems, Information Technology and Management, and Journal of Database Management. Tridas Mukhopadhyay (“ Determining Optimal CRM Implementation Strategies” and “Learning Curves of Agents with Diverse Skills in Information Technology-Enabled Physician Referral Systems ”) is Deloitte Consulting Professor of e-Business at Carnegie Mellon University. His research interests include business value of information technology, business-to-business commerce, economics of cyber security, and software development productivity. His recent papers on e-business examine Internet referral services, use of consumer information in email advertising, models of electronic intermediation, and information personalization. His other research projects study the productivity and quality of software products and offshore software contracts. Eivor Oborn (“ Unity in Diversity: Electronic Patient Record Use in Multidisciplinary Practice ”) is a Lecturer in public management and organizations at Royal Holloway University of London. She is also an honorary research associate in the Medical Faculty at Imperial College London, and a Fellow at Cambridge Judge Business School, where she received her Ph.D. in 2006. Her research interests include healthcare, technology and organisational change, knowledge translation, multidisciplinary collaboration, and service innovation. She has published work related to multidisciplinary knowledge work in a number of top journals. Zafer Ozdemir (“ An Analysis of the Adoption of Digital Health Records Under Switching Costs ”) is an Associate Professor at the Farmer School of Business, Miami University. He received his doctorate from Krannert School of Management, Purdue University. His research focuses mainly on economics of e-health and information systems and has appeared in scholarly journals such as Journal of Management Information Systems, Decision Support Systems, Information & Management, International Journal of Electronic Commerce, Communications of the ACM, and Communications of the AIS. Praveen A. Pathak (“ The Impact of Automation of Systems on Medical Errors: Evidence from Field Research ”) is an Associate Professor at the Warrington College of Business Administration at the University of Florida at Gainesville and an American Economics Institutions Faculty Fellow. His research spans offshore outsourcing, the role of IT as an enabler of health-care delivery, business intelligence, and information retrieval enabled by real-time information flows. His research has appeared in journals such as Management Science, Decision Support Systems, and the Journal of Operations Management. ParamVir Singh (“ Learning Curves of Agents with Diverse Skills in Information Technology-Enabled Physician Referral Systems ”) is an Assistant Professor of Information Systems at Carnegie Mellon University. His research interests include dynamic structural models, social networks, and social media. His research goal is to design policy interventions in social media settings and study their effects on knowledge worker behavior. His research is forthcoming at various outlets such as Information S
About Our Authors
No full text 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 archival journals, including INFORMS Journal on Computing and Information Systems Research. His major research interests are in software engineering, economics of information systems, and information security. Chris F. Kemerer (“ Compatibility and Proprietary Standards: The Impact of Conversion Technologies in IT Markets with Network Effects ”) is the David M. Roderick Professor of information systems at the Katz Graduate School of Business, University of Pittsburgh and is an adjunct professor of computer science at Carnegie Mellon University. Previously, he was an associate professor at MIT's Sloan School of Management. He received his Ph.D. from Carnegie Mellon University. His current research interests include management issues information systems and software engineering, and he has published more than 60 articles on these topics in a number of professional and academic journals, as well as editing two books. A member of INFORMS, Dr. Kemerer is a past departmental editor for information systems at Management Science, and he is the immediate past editor-in-chief of Information Systems Research. Dong-Gil Ko (“ Profiting from Knowledge Management: The Impact of Time and Experience ”) is an assistant professor of information systems at the College of Business, University of Cincinnati. He received his Ph.D. from the Joseph M. Katz Graduate School of Business, University of Pittsburgh. His research focuses on knowledge transfer, the exercise of control, outsourcing, and the use of systems for improving the management, performance, and impact of IS-related projects. Dorothy E. Leidner (“ Examining the Strategic Alignment and Implementation Success of a KMS: A Subculture-Based Multilevel Analysis ”) is the Randall W. and Sandra Ferguson Professor of Information Systems at Baylor University. She has broad international experience, having previously served as associate professor at INSEAD and as visiting professor at ITESM, Monterrey, Mexico and at the University of Caen, France. Since 2005, she has been a regular visiting professor at the University of Mannheim. Dorothy received her Ph.D. in information systems from the University of Texas at Austin, where she also received her M.B.A. and B.A. (in Plan II). Her research has been published in MIS Quarterly, Information Systems Research, Organization Science, the Journal of Management Information Systems, and Decision Science, among others. She has received best-paper awards in 1993 from the Hawaii International Conference on System Sciences, in 1995 from MIS Quarterly, and in 1999 from the Academy of Management. Dorothy is currently serving as senior editor for MIS Quarterly, associate editor for Decision Sciences, and associate editor for Decision Support Systems. She is also on the board of MIS Quarterly. Charles Zhechao Liu (“ Compatibility and Proprietary Standards: The Impact of Conversion Technologies in IT Markets with Network Effects ”) is an assistant professor of information systems at the College of Business, University of Texas at San Antonio. He received his Ph.D. in management information systems from the University of Pittsburgh in 2008. His research interests include technology adoption in digital goods markets, the economics of information systems, and standards competition in IT markets. As a Ph.D. student, Dr. Liu won the 2006 Katz School Dissertation Research Grant, a 2007 Net Institute Research Grant, and is an ICIS Doctoral Consortium Fellow (2006). His research has been presented at conferences of ICIS, WISE, and INFORMS and has appeared in Communications of AIS. Amit Mehra (“ Firms as Incubators of Open-Source Software ”) is an assistant professor of information systems at the Indian School of Business, Hyderabad, India. He obtained his Ph.D. in computers and information systems from the William E. Simon Graduate School of Business Administration, University of Rochester. His research interests are in the areas of new product development and launch strategies, management of intangible assets like human capital within knowledge intensive organizations, electronic commerce, and outsourcing. Vijay S. Mookerjee (“ Managing the Versions of a Software Product Under Variable and Endogenous Demand ”) received his Ph.D. from Purdue University in 1991. He is a Charles and Nancy Davidson Distinguished Professor at the University of Texas at Dallas. He serves (or has served) on the editorial boards of Management Science, Information Systems Research, INFORMS Journal on Computing, Operations Research, Decision Support Systems, and the Journal of Database Management. His research interests include software development methodologies, content delivery systems, and economic design of expert systems. He is the author of numerous articles in archival journals and refereed conference proceedings. Shan L. Pan (“ Examining the Strategic Alignment and Implementation Success of a KMS: A Subculture-Based Multilevel Analysis ”) is the coordinator of the Asian IT Case Series in the Department of Information Systems, National University of Singapore. Dr. Pan's research work has been published in MISQ Executive, IEEE Transactions on Engineering Management, the Journal of the American Society for Information Science and Technology, European Journal of Information Systems, Information Systems Journal, the Journal of Strategic Information Systems, the Journal of the Academy of Marketing Studies, and European Journal of Operational Research, among others. Suresh Radhakrishnan (“ Managing the Versions of a Software Product Under Variable and Endogenous Demand ”) is a professor of accounting and information management at the University of Texas at Dallas, Director of Research at the Institute for Excellence in Corporate Governance, and a Visiting Research Fellow at various Asian universities. His research papers have been published in leading academic journals in accounting, finance, and operations management. His work on organization capital and charitable giving has been covered by major newspapers and media and has been presented at forums such as the Microsoft CEO Summit and the SAP Global Congress. His research interests include valuation of intangible assets, performance evaluation, and impact of corporate governance. M. N. Ravishankar (“ Examining the Strategic Alignment and Implementation Success of a KMS: A Subculture-Based Multilevel Analysis ”) is a senior lecturer in the School of Business Information Technology, RMIT University. He received a B.Eng. (Electronics and Communication Engineering) from Bangalore University, India, and a Ph.D. (Information Systems) from the National University of Singapore, Singapore. Broadly, Ravi's research focuses on the dynamic tensions between the strategic dimensions of IT use in organizations and the social implications of developments in IT. His specific interests include IT offshoring, knowledge management, E-governance, careers in IT organizations, and ethnographic research. S. Siddarth (“ Price Formats as a Source of Price Dispersion: A Study of Online and Offline Prices in the Domestic U.S. Airline Markets ”) is known for his work on consumer consideration sets, market response models, and automobile purchase behavior, and his papers have been published in the Journal of Marketing Research, the Journal of Marketing, the Journal of Forecasting, and Marketing Science. He is the recipient of the 2007 William F. O'Dell Award for the Journal of Marketing Research article published in 2002 that has made the most significant, long-term contribution to marketing theory, methodology, and/or practice. Raymond G. Sin (“ Price Formats as a Source of Price Dispersion: A Study of Online and Offline Prices in the Domestic U.S. Airline Markets ”) received his Ph.D. from the University of Southern California and is an assistant professor of the information systems, business statistics, and operations management department at the Hong Kong University of Science and Technology. His research interests include pricing and competition in electronic markets, personalization and privacy, and welfare implications associated with emerging technologies in e-commerce. Michael D. Smith (“ Compatibility and Proprietary Standards: The Impact of Conversion Technologies in IT Markets with Network Effects ”) is an associate professor of information systems and marketing at Carnegie Mellon University, with appointments at the School of Information Systems and Management and the Tepper School of Business. He received his Ph.D. from MIT's Sloan School of Management. Dr. Smith's research relates to analyzing and designing efficient information exchanges. This research is supported by an NSF CAREER Award grant, and his work has been published in leading management science, economics, and marketing journals. Bernard C. Y. Tan (“ Conceptualizing and Testing a Social Cognitive Model of the Digital Divide ”) is a professor of information systems and an Associate Provost at the National University of Singapore (NUS). He was Head of the department (2002–2008) and an assistant dean (2000–2002). He has won university research and teaching awards at NUS. He was president of the Association for Information Systems (2009–2010). He has served on the editorial boards of MIS Quarterly (senior editor), Journal of AIS (senior editor), IEEE Transactions on Engineering Management (department editor), Management Science, and Journal of Management Information Systems. His research has been published in ACM Transactions on Computer-Human Interactions; ACM Transaction on Information Systems; ACM Transactions on Internet Technology; Communications of the ACM; Decision Support Systems; European Journal of Information Systems; IEEE Transactions on Engineering Management; IEEE Transactions on Professional Communication; IEEE Transactions on Systems, Man, and Cybernetics; Information and Management; Information Systems Research; International Journal of Human-Computer Studies; Journal of Global Information Management; Journal of Management Information Systems; Journal of the AIS; Journal of the American Society for Information Science and Technology; Management Science; and MIS Quarterly. His current research interest are social media, virtual communities, knowledge management, and Internet commerce http://www.comp.nus.edu.sg/∼btan . Hock Hai Teo (“ Conceptualizing and Testing a Social Cognitive Model of the Digital Divide ”) is an associate professor of information systems and the Head of the Department of Information Systems at the School of Computing, National University of Singapore. Prior to his current appointment as Head of the Department, Dr. Teo had served as Vice-Dean, Corporate Communications, from August 2007 to August 2008. His research interest are in the areas of IT innovation adoption, assimilation and impacts, information privacy, electronic market institutions, and IT-enabled service innovations. Dr. Teo has published widely in journals such as the ACM Transactions on Computer-Human Interactions, MIS Quarterly, Journal of Management Information Systems, IEEE Transactions on Engineering Management, International Journal of Human-Computer Studies, Information and Management, and Information Systems Research, and he has made presentations at numerous international conferences, including the International Conference on Information Systems. Some of his conference papers have also garnered best paper awards. He is serving or has served on the editorial boards of Information Systems Research, MIS Quarterly, IEEE Transactions on Engineer
