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Enregistrement W4233777662 · doi:10.1287/isre.2013.0499

About Our Authors

2013· article· en· W4233777662 sur OpenAlexaboutno aff

Notice bibliographique

RevueInformation Systems Research · 2013
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueAuction Theory and Applications
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInformation systemManagement information systemsContingency planComputer scienceInformation managementKnowledge managementManagementLibrary scienceSociologyEngineeringEconomics

Résumé

récupéré en direct d'OpenAlex

Sulin Ba (“ Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews ”) is a professor of information systems in the School of Business at the University of Connecticut. She holds a Ph.D. from the University of Texas at Austin. Her current research interests include the effective provision of e-service, digital health communities, and pricing of virtual goods. She has published in Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, Production and Operations Management, Decision Support Systems, and other academic journals. Xue Bai (“ On Risk Management with Information Flows in Business Processes ”) is an associate professor of management information systems in the School of Business at the University of Connecticut. She received her Ph.D. degree in management information systems from Carnegie Mellon University. Her research interests include mathematical modeling for managing data quality and information security related risks in enterprise information systems. Another of her research interests is in the area of data mining and machine learning methods applied to business and healthcare domains. Izak Benbasat (“ A Contingency Approach to Investigating the Effects of User-System Interaction Modes of Online Decision Aids ”) (Ph.D., University of Minnesota, 1974; Doctorat Honoris Causa, Université de Montréal, 2009) is a Fellow of the Royal Society of Canada, CANADA Research Chair in Information Technology Management at the Sauder School of Business, University of British Columbia, Canada. He currently serves on the editorial boards of Journal Management Information Systems and Information Systems Journal. 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. He became a Fellow of the Association for Information Systems (AIS) in 2002, received the LEO Award for Lifetime Exceptional Achievements in Information Systems from AIS in 2007, and was conferred the title of Distinguished Fellow by the INFORMS Information Systems Society in 2009. Martin Bichler (“ Combinatorial Auctions with Allocation Constraints: On Game-Theoretical and Computational Properties of Generic Pricing Rules ”) received his Ph.D. as well as his Habilitation from the Vienna University of Economics and Business Administration. He was working as a research fellow at UC Berkeley, and as research staff member at the IBM T.J. Watson Research Center, Yorktown Heights, New York. Since 2003, he is a full professor at the Department of Informatics of the TU München, and a faculty member at the TUM School of Management. Gordon Burtch (“ An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets ”) is a Ph.D. candidate in management information systems and a University Fellow in the Fox School of Business at Temple University. His research focuses on the drivers and economic implications of individual behavior in electronic markets and online communities. His work has been supported by funding from a variety of sources, including the Department of Education's CIBER initiative and partnerships with numerous startups in the crowdfunding industry. He has previously held positions as a technology consultant, hardware design engineer and information systems auditor. He holds a Bachelor of Engineering and an MBA from McMaster University. Andrew Burton-Jones (“ From Use to Effective Use: A Representation Theory Perspective ”) is Professor of Business Information Systems at UQ Business School, The University of Queensland, and adjunct professor at the Sauder School of Business, UBC. He obtained his Ph.D. from Georgia State University. He conducts research on user requirements, IT use, and methodological topics. He has published in, and served on the editorial boards of JAIS, ISR, MISQ, and other outlets. Prior to his academic career, he was a senior consultant in a Big-4 consulting firm. Kuo-Chung Chang (“ A View from the Top: Integrated Information Delivery and Effective Information Use from the Senior Executive's Perspective ”) is an assistant professor in the Department of Information Management at Yuan Ze University, Taiwan. He received his Ph.D. from the University of South Carolina. His current research focuses on IS project management, information security, and knowledge management. His work has been published in journals such as Information and Management, Information and Software Technology, and Journal of Systems and Software. Young Bong Chang (“ An Empirical Analysis of Technical Efficiency: The Role of IT Intensity and Competition ”) is an assistant professor at Sungkyunkwan University. He received his Ph.D. in management from the University of California, Irvine. His research interests are in the economics of information systems focusing on the business value of IT and outsourcing of information systems. His research has been published in Information Systems Research, MIS Quarterly, Journal of Management Information Systems and Information Technology and Management. Pei-yu Chen (“ The Impact and Implications of On-Demand Services on Market Structure ”) is an associate professor of management information systems in the Fox School of Business at Temple University. Prior to this position, she was on the faculty in the Tepper School of Business at Carnegie Mellon University. She received her Ph.D. (2002) in operations and information management and M.S. in applied economics (2000) from the Wharton School of the University of Pennsylvania, and her MBA (1998) and B.S. in information management (1996) from National Taiwan University. Her research interests lie at the intersection of technology, economics and marketing, focusing on issues relevant to technology innovation, strategy and pricing. Her work has been published in leading journals such as Information Systems Research, Management Science, MIS Quarterly and Operations Research. She currently serves on the editorial board of Management Science and Production and Operations Management. She also previously served on the editorial board of Information Systems Research. Ben C. F. Choi (“ Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions ”) is a lecturer in Information Systems at the Australian Business School, University of New South Wales, Australia. His research interests focus on information privacy, social media, virtual communities, and knowledge management. Min Ding (“ IT Implementation Contract Design: Analytical and Experimental Investigation of IT Value, Learning, and Contract Structure ”) is the Smeal Professor of Marketing and Innovation in the Smeal College of Business at Pennsylvania State University, and an Advisory Professor of Marketing at the School of Management, Fudan University. He has a Ph.D. in Marketing (Wharton School, University of Pennsylvania), a Ph.D. in Molecular, Cellular, and Developmental Biology (Ohio State University), and a B.S. in Genetics and Genetic Engineering (Fudan University). He is V.P. of membership for the INFORMS Society for Marketing Science (ISMS). Yue Feng (“ Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews ”) is currently a Ph.D. candidate of information systems in the School of Business and Management at the Hong Kong University of Science and Technology. Her research interests include e-marketing, online social communities, and behavioral decision of information technology adoption. Her paper has been presented at the Workshop on Information Systems and Economics (WISE), 2011. Anindya Ghose (“ An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets” and “How is the Mobile Internet Different? ”) is an associate professor of information, operations, and management sciences and the Robert L. & Dale Atkins Rosen Faculty Fellow at New York University's Leonard N. Stern School of Business. He is the co-Director of the Center for Business Analytics at NYU Stern. He is also a Daniel P. Paduano Fellow of Business Ethics at NYU Stern. His research analyzes the economic consequences of Internet and mobile technologies on industries and markets transformed by their shared infrastructure. He has been quoted numerous times in the BBC, New York Times, Financial Times, Forbes, NBC, Xinhua, Reuters, Washington Post, New York Daily, National Public Radio, Wall Street Journal, MSNBC, China Daily, Knowledge@Wharton, and elsewhere. He is a senior editor at ISR and associate editor at Management Science. His research has been recognized with eight best paper awards or nominations and several dozen competitive grants from the NSF, corporates, and other institutions. Avi Goldfarb (“ How is the Mobile Internet Different? ”) is a professor of marketing at the Rotman School of Management, University of Toronto. His research examines brand value, boundedly rational decisions by managers, and the impact of information technology on marketing, universities, and the economy. Professor Goldfarb has published over 40 articles in a variety of outlets in economics, marketing, computing, statistics, and law, and serves in editorial roles at a number of journals. He received his Ph.D. in economics from Northwestern University. Camille Grange (“ From Use to Effective Use: A Representation Theory Perspective ”) is a doctoral candidate at the Sauder School of Business, University of British Columbia. She received her M.Sc. degree in MIS from HEC Montréal where she worked on the usability of information systems. Her current research focuses on st

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,785
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0020,003
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,124

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,343
Tête enseignante GPT0,532
Écart entre enseignants0,189 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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