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Record W2783046707 · doi:10.1108/jadee-09-2015-0045

Religious beliefs and the promotion of socially responsible entrepreneurship in the Indian agribusiness industry

2018· article· en· W2783046707 on OpenAlexaff
Amarjit Gill, N. D. Mathur

Bibliographic record

VenueJournal of Agribusiness in Developing and Emerging Economies · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAgribusinessInvestment (military)AgricultureDebtSocial responsibilityBusinessPromotion (chess)EntrepreneurshipInvestment decisionsSocial capitalEconomicsFinanceMarketingPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to investigate the relationship between religious beliefs and socially responsible investment in the Indian agricultural industry. Design/methodology/approach Owners of small agribusiness firms from India were interviewed regarding their perceptions of religious beliefs and socially responsible investment in the agricultural industry. Findings The survey indicates that while religious beliefs and internal financing sources increase perceived socially responsible investment, the higher cost of debt capital decreases perceived socially responsible investment in the Indian agricultural industry. The higher level of internal financing sources, however, decreases the perceived cost of debt capital which may increase socially responsible investment in the Indian agricultural industry. Research limitations/implications This is a co-relational study that investigated the association between religious beliefs and socially responsible investment. There is not necessarily a causal relationship between the two. The findings of this study may only be generalized to firms similar to those that were included in this research. Originality/value This study contributes to the literature on the factors that increase socially responsible investment in the agricultural industry. The study also provides critical policy recommendations to minimize managerial implications. The findings may be useful for financial managers, agribusiness owners (farmers), investors, agribusiness management consultants, and other stakeholders.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.016
GPT teacher head0.238
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 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

Citations12
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agribusiness in Developing and Emerging EconomiesSame topicIslamic Finance and Banking StudiesFrench-language works237,207