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Record W2948875556 · doi:10.1007/s10490-018-9598-4

A values-based analysis of bifurcation bias and its impact on family firm internationalization

2019· article· en· W2948875556 on OpenAlex

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

VenueAsia Pacific Journal of Management · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of ManitobaUniversity of Calgary
Fundersnot available
KeywordsInternationalizationContext (archaeology)PhenomenonDysfunctional familyAffect (linguistics)EconomicsEmpirical researchBusinessPsychologyMicroeconomics

Abstract

fetched live from OpenAlex

Recent analysis of family firm internationalization has shown that international performance can suffer when family owners or managers engage in an unwarranted, strict separation between two ‘generic categories’ of resources in their strategic decision-making. On the one hand, there are resources perceived as ‘being part of the family in the long run’, and therefore unique and worthy of nurturing. On the other hand, there are resources perceived as ‘with the family only for the short run’, and therefore having commodity-type status and being fungible. The concept of bifurcation bias describes this frequently observed, affect-based phenomenon of separating all resources utilized by the firm into two categories. Bifurcation bias has been argued to be particularly damaging in the context of internationalization, whereby accurate assessment and complex recombination of resources is critical. In this paper, we extend the analysis of bifurcation bias in family firms. We examine how the personal values of family firm owners and non-family members, as well as the dominant cultural values in the relevant, surrounding societies (both home and host), can influence the magnitude and dysfunctional effects of this phenomenon. Infusing values-based analysis into assessing how bifurcation bias plays out in family firms, can improve our understanding of family firm heterogeneity, has implications for empirical research, and may help invalidate some overgeneralized narratives in research on family-firm international behaviour.

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)0.000
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 score0.065
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.020
GPT teacher head0.266
Teacher spread0.246 · 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