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Record W4233777662 · doi:10.1287/isre.2013.0499

About Our Authors

2013· article· en· W4233777662 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInformation Systems Research · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicAuction Theory and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsInformation systemManagement information systemsContingency planComputer scienceInformation managementKnowledge managementManagementLibrary scienceSociologyEngineeringEconomics

Abstract

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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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.124

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.343
GPT teacher head0.532
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it