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Record W4253959466 · doi:10.1287/mksc.1100.0616

Focus on Authors

2010· article· en· W4253959466 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

VenueMarketing Science · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Market Behavior and Pricing
Canadian institutionsnot available
Fundersnot available
KeywordsFocus (optics)MarketingComputer scienceBusinessIndustrial organization

Abstract

fetched live from OpenAlex

Christopher Adams (“ The Sealed-Bid Abstraction in Online Auctions ”; “ Rejoinder—Causes and Implications to Some Bidders Not Conforming to the Sealed-Bid Abstraction ”) is a staff economist with the Federal Trade Commission (FTC). He has a Ph.D. in economics from the University of Wisconsin and a B.Comm (Hons) from the University of Melbourne. At the FTC, he has worked on mergers and antitrust cases in a number of industries including pharmaceuticals, real estate, software, and retail. Before joining the FTC, he taught at the University of Vermont. In 2007, he was awarded the FTC's Paul Rand Dixon Award for outstanding contributions to the Commission. Paulo Albuquerque (“ Online Demand Under Limited Consumer Search ”) is an assistant professor of marketing at the Simon Graduate School of Business, University of Rochester. He holds a Ph.D. in management from the UCLA Anderson School of Management. He is currently interested in competition and consumer behavior in online markets, new product diffusion across markets, and spatial competition models. Bart J. Bronnenberg (“ Online Demand Under Limited Consumer Search ”) is a professor of marketing and CentER research fellow at Tilburg University. He holds Ph.D. and M.Sc. degrees in management from INSEAD, Fontainebleau, France, and an M.S. in industrial engineering from Twente University, The Netherlands. He is currently interested in marketing strategy and multimarket competition in consumer goods and medical industries. He has previously worked, and continues to work, on empirical analyses of new product growth and consumer choice behavior. He was named the recipient of the 2003 and 2008 Paul Green Award, the 2003 International Journal of Research in Marketing (IJRM) Best Paper Award, and the 2004 John D. C. Little Best Paper Award. Anne T. Coughlan (“ Optimal Reverse Channel Structure for Consumer Product Returns ”) is the John L. and Helen Kellogg Professor of Marketing at the Kellogg School of Management at Northwestern University. Her research on channel design and compensation problems, sales force management, sales force compensation, and pricing has been published in the top journals for marketing and operation and decision technologies. She is an area editor for Marketing Science and an author of the Marketing Channels textbook. Her favorite leisure activity is cultivating cacti and succulents in her greenhouse. Brett Danaher (“ Converting Pirates Without Cannibalizing Purchasers: The Impact of Digital Distribution on Physical Sales and Internet Piracy ”) is an assistant professor of economics at Wellesley College. He received a bachelor's of science in economics from Haverford College and a Ph.D. in managerial science and applied economics from The Wharton School of the University of Pennsylvania. His research interests include digital media, intellectual property, and the economics of information goods. Marnik G. Dekimpe (“ Estimating Cannibalization Rates for Pioneering Innovations ”) is a research professor at Tilburg University (The Netherlands) and a professor of marketing at the Catholic University Leuven (Belgium), and he is currently an academic trustee with both MSI and AiMark. He received his Ph.D. from the University of California, Los Angeles. He has advised several key players in the consumer packaged goods industry, especially on private-label and marketing-mix effectiveness issues. He has won best paper awards at Marketing Science, the Journal of Marketing Research, the International Journal of Research in Marketing, and Technological Forecasting and Social Change. He has also won the 2010 Louis W. Stern Award for his work on the valuation of Internet channels. He serves as editor for the International Journal of Research in Marketing and serves on the editorial boards of Marketing Science, the Journal of Marketing, the Journal of Marketing Research, Marketing Letters, the Review of Marketing Science, and the Journal of Interactive Marketing. Samita Dhanasobhon (“ Converting Pirates Without Cannibalizing Purchasers: The Impact of Digital Distribution on Physical Sales and Internet Piracy ”) is a Ph.D. candidate in public policy and management at the Heinz College, Carnegie Mellon University. Her research interests include digital piracy, digital media, and e-commerce marketing. Peter S. Fader (“ Customer-Base Analysis in a Discrete-Time Noncontractual Setting ”) is the Frances and Pei-Yuan Chia Professor of Marketing at The Wharton School of the University of Pennsylvania, and codirector of the Wharton Interactive Media Initiative. Scott Fay (“ The Economics of Buyer Uncertainty: Advance Selling vs. Probabilistic Selling ”) is an assistant professor of marketing at the Whitman School of Management at Syracuse University. He received a Ph.D. in economics from the University of Michigan and previously taught at the Warrington College of Business of the University of Florida. In his research, he employs analytical modeling to study a variety of topics, many of which are related to e-commerce, including reverse auctions, opaque products, the personalization process, the bundling of information goods, shipping fee schedules, retail price endings, and consumer bankruptcy. He was elected to and served two terms as the newsletter editor for the INFORMS Society for Marketing Science (2002–2006). He serves on the editorial board of Marketing Science, served as a guest area editor for Marketing Science, and recently received the Meritorious Service Award from Management Science. Bruce G. S. Hardie (“ Customer-Base Analysis in a Discrete-Time Noncontractual Setting ”) is a professor of marketing at the London Business School. His primary research interest lies in the development of data-based models to support marketing analysts and decision makers, with a particular interest in models that are easy to implement. Most of his current projects focus on the development of probability models for customer-base analysis. Ernan Haruvy (“ Search and Choice in Online Consumer Auctions ”) is an associate professor of marketing at the University of Texas at Dallas. He received his Ph.D. in economics in 1999 from the University of Texas at Austin. His research focuses primarily on market design, with a special interest in auctions, procurement, learning, and bounded rationality. Gerald Häubl (“ Optimal Reverse-Pricing Mechanisms ”) is the Canada Research Chair in Behavioral Science and an associate professor of marketing at the University of Alberta's School of Business. He is the founding director of the Institute for Online Consumer Studies (IOCS). He received M.S. and Ph.D. degrees in business administration and marketing from the Vienna University of Economics and Business Administration (Wirtschaftsuniversität Wien) in his native Austria. His primary research interests are consumer decision making, the construction of preference and value, human–information interaction, decision assistance for consumers, and bidding behavior in interactive-pricing markets. Ali Hortaçsu (“ Commentary—Do Bids Equal Values on eBay? ”) is a professor of economics at the University of Chicago. He received his Ph.D. from Stanford University in 2001, and his main research area is industrial organization. He has developed novel econometric methods to study auction and matchmaking markets, and he has applied these methods to answer market design questions in central bank operations, government bond auctions, electricity markets, online auctions, and online matchmaking. He has also developed empirical methods to study markets with search frictions, with applications to e-commerce and the mutual fund industry. He has been awarded an Alfred P. Sloan Fellowship and an NSF CAREER grant and is a research associate of the National Bureau of Economic Research. He has served as the coeditor for the International Journal of Industrial Organization and as associate editor for the Journal of Business and Economic Statistics and the Journal of Industrial Economics. Sandy Jap (“ The Seeds of Dissolution: Discrepancy and Incoherence in Buyer–Supplier Exchange ”) is the Dean's Term Chair Professor of Marketing at the Goizueta Business School at Emory University. She is a graduate of the University of Florida (Go Gators!) and has served on the faculties of the Sloan School of Management at the Massachusetts Institute of Technology and The Wharton School of the University of Pennsylvania. Her research interests lie in interorganizational exchange management and the design and management of business-to-business markets with auction mechanisms. She is an area editor for the International Journal of Research in Marketing and an editorial board member of the Journal of Marketing Research and Marketing Letters. Ujwal Kayande (“ The Seeds of Dissolution: Discrepancy and Incoherence in Buyer–Supplier Exchange ”) is a professor of marketing in the Research School of Business at the Australian National University. He was previously on the faculty at the Smeal College of Business (Pennsylvania State University) and the Australian Graduate School of Management (University of New South Wales, Sydney). He obtained his Ph.D. from the University of Alberta. His current research focuses on developing quantitative models to understand marketplace behavior and the effect of marketing activity upon that behavior; additionally, he is interested in understanding the pathways by which quantitative models impact business practice. He is a recipient of the 1998 Don Lehmann Award from the American Marketing Association. Jun B. Kim (“ Online Demand Under Limited Consumer Search ”) is an assistant professor at the College of Management, Georgia Institu

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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