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Record W3210953044 · doi:10.5539/ibr.v14n12p20

Supply Chain Management: A Study on Competitive Advantage Relationship and Operational Performance during Pandemic Covid 19 in Indonesia

2021· article· en· W3210953044 on OpenAlexvenueno aff
Kenny Roz

Bibliographic record

VenueInternational Business Research · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsCompetitive advantageSample (material)BusinessPopulationSupply chainSupply chain managementData collectionCoronavirus disease 2019 (COVID-19)Path analysis (statistics)MarketingIndustrial organizationOperations managementStatisticsEconomicsMathematics

Abstract

fetched live from OpenAlex

This research was conducted to reveal the relationship between supply chain management, competitive advantage, and operational performance in coffee shops in Indonesia.  The Data collection was obtained by distributing questionnaires online. The population in this study were business actors in the coffee sector, especially in the coffee shops in Indonesia. Determination of the sample in this study using non-probability because the population size cannot be identified. The sample of this study was 177 respondents. The research data were analyzed using path analysis techniques with analysis tools using Partial Least Square (PLS). The result found that SCM, competitive advantage has a significant positive effect on operational performance, SCM has a significant positive effect on competitive advantage, and competitive advantage is the perfect mediator for the effect of SCM has a significant positive effect on operational performance at a coffee shop in Indonesia.

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 score0.075
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.079
GPT teacher head0.363
Teacher spread0.284 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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