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Record W2152942689 · doi:10.5267/j.msl.2013.08.002

A study on relationship between social entrepreneurship and organizational commitment

2013· article· en· W2152942689 on OpenAlexvenueno aff
Yadollah Hemmati, Seyed Hassan Kia

Bibliographic record

VenueManagement Science Letters · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipOrganizational commitmentPsychologyBusinessSocial entrepreneurshipSocial psychologyBusiness administrationKnowledge managementComputer science

Abstract

fetched live from OpenAlex

During the past few years, organizational commitment has been a major concern in different types of business activities including banking industry.In this paper, we present an empirical investigation to study the relationship between social entrepreneurship and organizational commitment.The proposed study of this paper adapts a standard questionnaire developed by Meyer and Allen [Meyer, J. P., & Allen, N. J. (1991).A three-component conceptualization of organizational commitment.Human resource management review, 1(1), 61-89].Cronbach alpha has been calculated for affective commitment, employee engagement and normative commitment as 0.77, 0.79 and 0.61, respectively.The results of survey indicate that affective commitment, employee engagement and normative commitment have positively influenced organizational commitment, significantly.In addition, Freedman test has indicated that normative commitment is number one priority with mean rank of 2.85 followed by affective commitment with mean rank of 2.47 and employee engagement with the mean rank of 2.26.

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)0.002
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.258
Teacher spread0.222 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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