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Record W2338067957 · doi:10.5539/mas.v10n6p37

The Components of Islamic Entrepreneurship Pattern Based on Religious Teachings

2016· article· en· W2338067957 on OpenAlexvenueno aff
Mohammad Bagher Babaee Talatappeh, Mohammad Reza Tavalaee

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIslamEntrepreneurshipLeverage (statistics)Value (mathematics)Social entrepreneurshipSociologySocial scienceHuman resourcesEpistemologyClassical economicsPositive economicsPolitical scienceLawEconomicsPhilosophyTheologyComputer science

Abstract

fetched live from OpenAlex

Today, many scholars in the domain of economy and entrepreneurship indicated to entrepreneurship as a development engine such as Shompiter. They tried to use this leverage for development and welfare of their countries.The current paper studies the Islamic entrepreneurship conceptual pattern according to Islamic studies and based on the four-aspect system including entrepreneurship, personal, organizational, social and moral. As moral and religious values determine the social and devotional value, they also focus on efforts for developing the society. In Quran, God settled efforts for human being.The present paper studies how innovation as a fundamental concept will produce the Islamic entrepreneurship structure beside Islamic moral and values.The methodology used in this study includes theoretical and citation studies through using Islamic reliable resources. The findings were gained based on the Islamic teaching in Quran and behavior of saints.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.206
Teacher spread0.194 · 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 designTheoretical or conceptual
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

Citations5
Published2016
Admission routes1
Has abstractyes

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