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Record W3124481306

Trends and Directions in the Development of a Strategic Management Theory of the Family Firm

2005· article· en· W3124481306 on OpenAlexaff
James J. Chrisman, Jess H. Chua, Pramodita Sharma

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsWilfrid Laurier UniversityUniversity of Calgary
Fundersnot available
KeywordsOptimal distinctiveness theoryTheory of the firmPrincipal–agent problemBusinessStrategic managementIndustrial organizationFamily businessResource dependence theoryAgency (philosophy)Control (management)Firm offerStrategic fitEmpirical evidenceMarketingEconomicsMicroeconomicsManagementCorporate governanceSociologyPsychologyFinanceSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Trends that contribute to the development of a strategic management theory of family firms are discussed.The first of these developments is relative agreement among theorists attempting to define the family firm.The second is the empirical evidence that family involvement affects firm performance.The third development is the emergence of two strategic management-oriented perspectives that account for the distinctiveness of family firms. These perspectives, which include agency theory and the resource-based view of the firm, have led researchers to argue that both altruism and management entrenchment can have positive and negative effects on family firm performance.Whether those effects are positive or negative depends on contingencies, such as the extent of ownership control and corporate and business strategy.To develop further a strategic management theory of family firms, researchers must focus on differences in the behavior of these firms, the forces that drive the formulation of goals in family firms, and the strategic alternatives available to family firms. (SAA)

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.019
GPT teacher head0.230
Teacher spread0.211 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations47
Published2005
Admission routes1
Has abstractyes

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