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Record W2007331740 · doi:10.1080/08985621003726176

‘Can’t get no satisfaction?’ Evaluating the sale of the family business from the family's perspective and deriving implications for new venture activities

2010· article· en· W2007331740 on OpenAlexaff
Christian Niedermeyer, Peter Jaskiewicz, Sabine B. Klein

Bibliographic record

VenueEntrepreneurship and Regional Development · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFamily businessMarketingPerspective (graphical)Affect (linguistics)BusinessIndustrial organizationSociology

Abstract

fetched live from OpenAlex

The scarce research on the sale of family businesses suggests that business-owning families take different factors into account than non-family owners when evaluating a business sale. This paper builds on a utility-oriented framework and analyses literature to identify the key factors that affect the family's appraisal of the sale. We integrate these factors into an explanatory model which shows that the family's evaluation of a business sale takes longer and is often different compared to a non-family business sale. In contrast to the paradigm of family business succession, our model advocates the exit option, which in a second step can foster new entrepreneurial family activity. We discuss how satisfaction might affect new venture activities and apply a case to show how our model can be generally used to analyse a family business sale.

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)0.003
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.035
GPT teacher head0.265
Teacher spread0.229 · 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

Citations44
Published2010
Admission routes1
Has abstractyes

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