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Record W2994471450

The Influence of National Religious Consciousness on Entrepreneurial Behavior

2017· article· en· W2994471450 on OpenAlexvenueno aff
Steven Williamson, Carolyn B. Mueller, Cheryl A. Van Deusen, Alexa A. Perryman

Bibliographic record

VenueInternational Business Research · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipConsciousnessAntecedent (behavioral psychology)Hofstede's cultural dimensions theorySociologySocial psychologyVariable (mathematics)PsychologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Entrepreneurial behavior historically has been associated with economic development and the growth of national economies. Similar to other complex behaviors, entrepreneurship is thought to be influenced by an individual’s goals, attitudes, and societal norms. While culture, particularly Hofstede's dimensions, and gender are common variables included in investigations of this topic, few studies have isolated the variable of religion, and its corresponding influence, into the analysis of entrepreneurial behavior. To explore the influence that a national religious consciousness (NRC) has on entrepreneurial behavior, this paper views the concept of NRC as both an antecedent and a component of the global variable of culture. It is proposed that NRC has a central role in shaping and defining entrepreneurial behavior, as well as influencing national culture and gender roles. A conceptual framework and deductive propositions are proposed to highlight the asymmetric roles between NRC, national culture, gender roles, and entrepreneurial behavior.

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)0.003
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 score0.434
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.044
GPT teacher head0.353
Teacher spread0.309 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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