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Record W4312185581 · doi:10.5267/j.uscm.2022.10.011

Antecedents of green supply chain collaborative innovation in tourism SMEs: Moderating the effects of socio-demographic factors

2022· article· en· W4312185581 on OpenAlexvenueno aff
Erry Sunarya, Tuah Nur, Ike Rachmawati, Darmo H. Suwiryo, Maun Jamaludin

Bibliographic record

VenueUncertain Supply Chain Management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessTourismSupply chainSupply chain managementSmall and medium-sized enterprisesMarketingTransformational leadershipJavaIndustrial organizationEconomicsManagement

Abstract

fetched live from OpenAlex

The importance of environmentally friendly issues related to manufacturing industry activities in Makassar City is currently a special concern. Green supply chain management integrates supply chain management with environmental management, so it is important to reduce environmental impacts. This study aims to determine the antecedents of green supply chain collaborative innovation on the performance of Small and Medium Enterprises in the Tourism Sector. Data was collected by distributing questionnaires. The unit of research analysis is Small and Medium Enterprises in the Tourism Sector in West Java. Respondents who were used as samples were 311 respondents. The analytical method used in testing the hypothesis is Partial Least Square (PLS). The results show: green supply chain management has a positive and significant effect on the performance of Small and Medium Enterprises in the Tourism Sector in West Java, green supply chain management mediates the effect of green innovation and transformational leadership on the performance of Small and Medium Enterprises in the Tourism Sector.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.008
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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.

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

Citations19
Published2022
Admission routes1
Has abstractyes

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