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Record W2317448151 · doi:10.5465/ambpp.2014.215

Buoys & Anchors: Owning Family Behaviours that Influence Non-family Manager Preferences to Stay

2014· article· en· W2317448151 on OpenAlexaff
Albert E. James, P. Devereaux Jennings

Bibliographic record

VenueAcademy of Management Proceedings · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of AlbertaDalhousie University
Fundersnot available
KeywordsArgument (complex analysis)Work (physics)Family businessSocial psychologyEmpirical researchPsychologyPublic relationsBusinessMarketingPolitical scienceEngineering

Abstract

fetched live from OpenAlex

This paper addresses calls for greater attention to the non-family managers who work within family-owned firms. Expected to play increasingly prevalent and influential roles within such organizations in the future, we suggest that these employees will be especially sensitive to how owning-family members behave towards them because of their non-kin status. In keeping with this overarching argument, we theorize two family-member behaviors likely to influence a non-family manager’s desire to stay: (1) enacting practices on an ongoing basis that are consistent with fostering self-determined motivation; and, (2) enacting even a single yet emotionally charged encounter with unexpectedly positive or negative outcomes for the manager. The robust empirical findings obtained through our mixed- methods study support the hypothesized effects of these respective ‘buoys’ and ‘anchors’ net of alternative explanations; they also support the central premises underlying our theorizing. In addition to offering several contributions to and implications for the family business and organizational behaviour literatures, our work provides practical guidance for family firm leaders who are concerned about retaining their non-family managers. [N=170]

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.005
Open science0.0010.001
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 head0.030
GPT teacher head0.258
Teacher spread0.228 · 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 teacher head, not a consensus.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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