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Record W2593405900 · doi:10.1111/joms.12273

From Animosity to Affinity: The Interplay of Competing Logics and Interdependence in Cross‐Sector Partnerships

2017· article· en· W2593405900 on OpenAlex
Naeem Ashraf, Alireza Ahmadsimab, Jonatan Pinkse

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Management Studies · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsGeneral partnershipContext (archaeology)BusinessComplementarity (molecular biology)Resource (disambiguation)Industrial organization

Abstract

fetched live from OpenAlex

Abstract Drawing on and extending institutional logics and resource dependence theories, this paper posits that for cross‐sector partnerships to survive, organizations need to share compatible institutional logics, but depend less on each other's resources. Asymmetrical cross‐sector partnerships may lead to a breakup if organizations are forced to operate under incompatible institutional logics. The findings of this study show that the challenges posed by incompatible logics of partners could be mitigated by the degree of resource interdependence between organizations. Capturing the effects of context and transactions on the actors’ strategic behaviour, the findings, based on a dataset of project‐level partnership ties between 1312 organizations in the carbon‐offset market, support these hypotheses. The paper concludes by discussing implications of organizations' responses to keep acting under or reinterpreting existing institutional logics in asymmetrical cross‐sector relationships.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.323
Teacher spread0.248 · 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