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Record W2774533441

GENDER PROBLEM IN FAMILY BUSINESS

2011· article· en· W2774533441 on OpenAlexaboutno aff
Sentot Imam Wahjono

Bibliographic record

VenueBALANCE: Economic, Business, Management and Accounting Journal · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
Fundersnot available
KeywordsFellSuccessor cardinalIndonesianBusinessPolitical scienceEconomic growthEconomicsGeography
DOInot available

Abstract

fetched live from OpenAlex

The role of family business the economy are enormous, both in term of contribution in GNP and employment. Many world class companies such as motorla, Nordstrom, Bakrie, Gudang Garam maintain as a family business even though they have been going public in the capital markets. Perception of the global community is more like  men as a manager and controller of the business than women. Male primogenitur is the adagium to describe how men are very dominant in the business world. In the USA and South Korea man is the successor of the family business. Japan rejected the role of women in the family business so that all inheritance fell on one of the sons. In China, the company inherited fell on the whole boys shared equality. In Turkey, female successor only 4.2%. Nevertheles, quite a lot of women who own the company. In USA there are 8 million women-owned family business, in Japan 23%, Australia 33%, Canada 31%, Mexico 16%, and Netherlands 15%. The imbalance in gender equity and equality in the family business was global perceived. In Indonesia takes efforts to open wider access for Indonesian women in the domain corporate management, expand the participation of women, increase the role of controlling, adding to the usefulness in the management of family business that have sustainable resilience in the face of global competition. Key-words: family business, gender, male primogeniture.

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), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.008
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.025
GPT teacher head0.200
Teacher spread0.175 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueBALANCE: Economic, Business, Management and Accounting JournalSame topicFamily Business Performance and SuccessionFrench-language works237,207