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Record W2907700029 · doi:10.5267/j.uscm.2018.11.004

The effects of an integrative supply chain strategy on customer service and firm performance: an analysis of direct versus indirect relationships

2018· article· en· W2907700029 on OpenAlexvenueno aff
Zakir Sabara, Soemarno Soemarno, Amin Setyo Leksono, Andi Tamsil

Bibliographic record

VenueUncertain Supply Chain Management · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsSupply chainBusinessService (business)Process managementIndustrial organizationChain (unit)Operations managementService qualityMarketingEconomics

Abstract

fetched live from OpenAlex

Access to water resources is one of the demanding issues of the 21st century worldwide. As worldwide population increases, the demand for water is seriously increased. With the increasing demand, water quality is also under growing stress which requires better supply chain management (SCM) by adopting strategic management practices. Therefore, the objective of this study is to examine the role of supply chain strategic management in customer satisfaction and the performance of the water supply company in Makassar, Indonesia. In this study, service quality and drinking water quality were taken as the strategic management activities. Employees of water supply companies were selected to collect the necessary data. Questionnaires survey was used to collect the necessary data from employees. Three hundred (300) questionnaires were distributed among the employees of water supply companies of Makassar, Indonesia. It was found that strategic management practices were vital to enhance water supply chain. Moreover, it was concluded that water supply companies of Makassar needed better supply chain activities to boost performance. Better supply chain implementation was the key to customer satisfaction and the performance of the company.

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 score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.265
Teacher spread0.241 · 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

Citations9
Published2018
Admission routes1
Has abstractyes

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