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Record W28248314

Factors Influencing the Consultancy Services Used in Romanian Family Businesses

2014· article· en· W28248314 on OpenAlexaboutno aff
Luminița Nicolescu, Mariana Nicolae, Irina Ion

Bibliographic record

VenueManagement and Marketing · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)RomanianPromotion (chess)BusinessEuropean unionPopulationQuarter (Canadian coin)MainstreamEconomic growthEconomyEconomicsEconomic policyPolitical scienceGeographySociologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

The present study approaches consultancy services in relationship to family businesses, focusing on the extent to which those services are used by this category of companies and the way in which they are used. The element of novelty of the research relates to the identification of a number of factors that influence the acquisition of consultancy services in family businesses (company characteristics and decision maker’s features) and to their linkage to a number of characteristics of consultancy services. The theoretical model is applied on family businesses from Romani, an emerging market in Europe. Findings illustrate the existence of strong, weak and no existence at all of relationships between factors and consultancy characteristics, depending on the factor. Company related factors do influence the choice for consultancy services, meanwhile decision maker related factors seem to influence the least the analysed characteristics of consultancy in Romanian family businesses.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.199
Teacher spread0.187 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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