Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Rohit Aggarwal (“ Putting Money Where the Mouths Are: the Relation between Venture Financing and Electronic Word-of-Mouth ”) is an Assistant Professor at the David Eccles School of Business, University of Utah. His research interests include studying the avenues and challenges posed by User Generated Content (UGC) on businesses. Specifically, he investigates the underlying processes/conditions that alter the influence level of UGC on final business outcomes. His research helps firms and institutional investors in understanding the value of UGC and finding out ways to better utilize UGC. He is also interested in investigating online reputation mechanism designs that shape both the generation and utilization of UGC. Animesh Animesh (“ Using Real Options to Investigate the Market Value of Virtual World Businesses ”) is an Assistant Professor in the Desautels Faculty of Management, McGill University, Canada. He studies the adoption, design, and impact of Internet technologies and electronic commerce. Animesh has a PhD from University of Maryland, a Master's in Information Systems Management from Carnegie Mellon University, and a Bachelor's degree in Business Studies from Delhi University. His research has been published in top journals, such as Information Systems Research, MIS Quarterly, and Marketing Science. Sinan Aral (“ Information, Technology and Information Worker Productivity ”) is an Assistant Professor and Microsoft Faculty Fellow at the NYU Stern School. His research focuses on social contagion and how information diffusion in massive social networks affects information worker productivity, consumer demand and viral marketing. He received his BA from Northwestern, holds master's degrees from the London School of Economics and Harvard, and received his PhD from MIT. His papers are available at http://pages.stern.nyu.edu/~saral Linda Argote (“ The Learning Curve of IT Knowledge Workers in a Computing Call Center ”) is the David M. and Barbara A. Kirr Professor of Organizational Behavior and Theory at The David A. Tepper School of Business of Carnegie Mellon University. She received her PhD from The University of Michigan. Her research addresses organizational learning, innovation, organizational memory, knowledge transfer, and group processes and performance. Her work appears in leading journals including Administrative Science Quarterly, Management Science, Operations Research, Organization Science, Organizational Behavior and Human Decision Processes, and Science. Her book, Organizational Learning: Creating, Retaining and Transferring Knowledge was a finalist for the Terry book award of the Academy of Management. She served as Editor-in-Chief of Organization Science from 2004-2010 and currently Vice-President of Publications for INFORMS. Erik Brynjolfsson (“ Information, Technology and Information Worker Productivity ”) is the Schussel Family Professor at the MIT Sloan School, the Director of the MIT Center for Digital Business and a Research Associate at the National Bureau of Economic Research. His research focuses on the productivity effects of information technology, intangible assets, and the economics of digitization. His received an AB and SM from Harvard and a PhD from MIT. His papers are available at http://digital.mit.edu/erik Brian S. Butler (“ The Cross-Purposes of Cross-Posting: Boundary Reshaping Behavior in Online Discussion Communities ”) is an Associate Professor of Business Administration at the Joseph M. Katz Graduate School of Business and Associate Professor of Clinical and Translational Research at the University of Pittsburgh CTSI. His research interests include online communities, social computing, and mass-collaboration; power, politics and IT; healthcare IS; knowledge management and community informatics. Dr. Butler's work has appeared in ISR, MISQ, Organization Science, JMIS, JCMC, CAIS, Journal of Biomedical Informatics, and the Journal of Medical Internet Research. Marco Caliendo (“ The Cost Impact of Spam Filters - Measuring the Effect of Information System Technologies in Organizations ”) is the Director of Research at the Institute for the Study of Labor (IZA) in Bonn, Germany. He holds a doctoral degree in economics from Goethe University Frankfurt (Germany). Young Bong Chang (“ The Impact of IT-Related Spillovers on Long-Run Productivity: An Empirical Analysis ”) is an Assistant Professor at the University of British Columbia, Okanagan. His research interests are in the economics of information systems focusing on the business value of IT and outsourcing of information systems. He has presented his work at the International Conference on Information Systems, the Workshop on Information Systems and Economics and INFORMS. He received a PhD in Management with a specialization in Information Systems from the University of California, Irvine. Michel Clement (“ The Cost Impact of Spam Filters - Measuring the Effect of Information System Technologies in Organizations ”) is a Professor of Marketing and Media Management, Institute for Marketing and Media at the University of Hamburg, Germany. He holds a doctoral degree in marketing from the Christian-Albrechts-University at Kiel (Germany). Sanjeev Dewan (“ Music Blogging, Online Sampling, and the Long Tail ”) is a Professor of Information Systems at the Paul Merage School of Business, University of California, Irvine. He received his PhD from the University of Rochester, and his research and teaching interests are in the areas of the economics of information technology and electronic commerce. He received a best paper award from the INFORMS Conference on Information Systems and Technology in October 2009 and an INFORMS Service Award in February 2009. He has served as a senior editor at Information Systems Research and is currently an associate editor at Management Science. Juan Feng (“ Performance-Based Advertising: Advertising as Signals of Product Quality ”) is an Assistant Professor in the Department of Information Systems at the College of Business, City University of Hong Kong. She holds a BA in economics from Renmin University of China, and a PhD in Business Administration from Pennsylvania State University, with a dual degree in Operations Research. She serves on the editorial board of Decision Support Systems, and AE for E-Commerce Research and Applications. David Gefen (“ The Boundaries of Trust and Risk: The Quadratic Moderating Role of Institutional Structures ”) is an Associate Professor of MIS at Drexel, where he teaches strategic management of IT, database analysis and design, and VB.NET. He received his PhD from GSU and master's from Tel-Aviv. His research focuses on psychological and rational processes in IT implementation, which stem from 12 years of developing and managing large IT projects. His research findings are published in MISQ, ISR, IEEE TEM, and JMIS, among others. David is SE at DATABASE and a VB.NET textbook author. Ram Gopal (“ Putting Money Where the Mouths Are: the Relation between Venture Financing and Electronic Word-of-Mouth ”) His research to-date has been in the areas of data security, privacy and valuation, database management, intellectual property rights and economics of software and music piracy, online market design and performance evaluation, economics of online advertising, technology integration, and business impacts of technology. He enjoys working on research problems that are intellectually stimulating and have significant relevance for practice. His research methodology has consisted of operations research, set theory, differential calculus, applied probability and structural equation modeling tools. For empirical evaluation, he has employed the methodologies of prototype development and experimentation, simulation, and primary and secondary data analysis. Alok Gupta (“ Putting Money Where the Mouths Are: the Relation between Venture Financing and Electronic Word-of-Mouth ”) holds the Curtis L. Carlson School-wide Chair in Information Management at the Carlson School of Management, University of Minnesota. He received his PhD in MSIS from UT, Austin in 1996. He has published over 50 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. Vijay Gurbaxani (“ The Impact of IT-Related Spillovers on Long-Run Productivity: An Empirical Analysis ”) is the Taco Bell Endowed Professor and Director of the Center for Research on IT and Organizations at the Paul Merage School of Business, University of California, Irvine. His research has appeared in Information Systems Research, Management Science, MIS Quarterly and Communications of the ACM. He received a Master's degree in Mathematics and Computer Science from the Indian Institute of Technology, Bombay and a PhD in Business Administration from the University of Rochester. Carol Hsu (“ Institutional Influences on Information Systems Security Innovations ”) is an Associate Professor in the Department of Information Management at National Taiwan University. She holds a PhD in information systems from the London School of Economics and Political Science. Her current research interests focus on the organizational and cultural issues related to IS security management and technology implementation. Her work has been published in the MIS Quarterly, European Journal of Information Systems, Communications of the ACM, and others. Monica S. Johar (“ Content Provision Strategies in the Presence of Content Piracy ”) is an Assistant Professor of MIS at University of North
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,008 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,007 |
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.
score_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