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Record W2296249534 · doi:10.1509/jm.12.0349

Authority Relinquishment in Agency Relationships

2016· article· en· W2296249534 on OpenAlexaff
Gülnur Tumbat, Kent Grayson

Bibliographic record

VenueJournal of Marketing · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsAgency (philosophy)Delegated authorityBusinessPrincipal (computer security)Relation (database)Principal–agent problemDecentralizationTraditional authorityControl (management)Primary authorityLaw and economicsLawEconomicsPolitical scienceCorporate governanceSociologyManagementComputer scienceFinanceComputer security

Abstract

fetched live from OpenAlex

A key decision for the design of principal–agent agreements is how much control or authority the buyer (or principal) should be allowed to exercise in relation to the seller (or agent). Historically, agency theory has viewed exchange agreements as ranging from those in which the buyer has very high authority over the seller (formal authority) to those in which the buyer and seller are relatively independent so there is little or no authority relation (market exchange). However, some principal–agent agreements reverse the authority relationship usually assumed in agency theory by allowing the seller to exercise authority over the buyer. The authors study this unexplored type of agency agreement and refer to it as “authority relinquishment.” Using data collected from interviews with clients and guides on commercial high-altitude mountain expeditions, the authors identify conditions that make authority relinquishment likely. They also identify the benefits and drawbacks of authority relinquishment and compare them with the benefits and drawbacks of two frequently studied approaches to managing agency relationships—formal authority and authority decentralization.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.043
metaresearch head score (Gemma)0.106
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.043
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.106
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.047
Scholarly communication0.0090.024
Open science0.0020.010
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.235
Teacher spread0.191 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2016
Admission routes1
Has abstractyes

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