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Record W3153943933 · doi:10.1177/01492063211006450

Purpose in the For-Profit Firm: A Review and Framework for Management Research

2021· review· en· W3153943933 on OpenAlexaff
Gerard George, Martine R. Haas, Anita M. McGahan, Simon J.D. Schillebeeckx, Paul Tracey

Bibliographic record

VenueJournal of Management · 2021
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConflationFraming (construction)ShareholderBusinessKnowledge managementEconomicsMarketingCorporate governanceManagementComputer scienceEpistemology

Abstract

fetched live from OpenAlex

Purpose is a concept often used in managerial communities to signal and define a firm’s benevolent and pluralistic approach to its stakeholders beyond its focus on shareholders. While some evidence has linked purpose to positive organizational outcomes such as growth, employee satisfaction, innovation, and superior stock market performance, the definition and application of purpose in management research has been varied and frequently ambiguous. We review literature streams that invoke purpose in the for-profit firm and propose a unifying definition. Next, we develop a framework to study purpose that decouples its framing and formalization within firms from its realization, thus helping to avoid conflation of the presence of purpose with positive organizational outcomes. The framework also highlights internal and external drivers that shape the framing of purpose as well as the influence of the institutional context on its adoption and effectiveness. Finally, we provide a rich agenda for future research on purpose.

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)0.013
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0190.020
Science and technology studies0.0020.005
Scholarly communication0.0070.009
Open science0.0020.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.251
GPT teacher head0.465
Teacher spread0.214 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations261
Published2021
Admission routes1
Has abstractyes

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