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The performance of authority in organizations: an example from management consulting

2013· article· en· W2009111321 on OpenAlexaff
Nicolas Bencherki, Alaric Bourgoin

Bibliographic record

VenueAcademy of Management Proceedings · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAmbiguityNegotiationInsiderConstitutionPublic relationsVariety (cybernetics)Work (physics)Position (finance)PhenomenonBoundary (topology)Primary authorityBusinessPolitical scienceSociologyLawEpistemologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

This paper discusses how authority is concretely performed through interaction, and how this performance contributes to the constitution of organizational boundaries. Through the case of a six-month consultancy assignment at a large French energy group, we show how authority is established, challenged and reaffirmed as everyday work unfolds. Rather than viewing authority as decided once and for all when the engagement is negotiated, we show instead that mission involves a large share of ambiguity which, while being a source of uncertainty, also allows the consultant to position himself as acting on behalf of a variety of entities that lend weight to his actions and authorize them. It is the mobilization of some entities rather than others that situates the consultant as located within some organizational configurations rather than others. Rather than reducing this phenomenon to a strategic positioning on the part of the consultant, as either outsider or insider, we show that boundary negotiation is intrinsic to the consultant’s ability to assert his authority.

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)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0270.016
Scholarly communication0.0080.004
Open science0.0020.008
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.225
Teacher spread0.203 · 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 designQualitative
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

Citations4
Published2013
Admission routes1
Has abstractyes

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