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Record W4391060471 · doi:10.5267/j.uscm.2023.12.010

The impact of supply chain integration on operational performance with supply chain capability

2024· article· en· W4391060471 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUncertain Supply Chain Management · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSupply chainBusinessInformation sharingSupply chain managementService managementSupply chain risk managementIndustrial organizationStructural equation modelingProcess managementMarketingComputer science

Abstract

fetched live from OpenAlex

Force majeure in Indonesia, especially during pandemics, causes a drastic fluctuation in the market and makes many medicine products related to the pandemic become scarce and stocked out. Major pharmaceutical companies manufactured in Indonesia need solutions for the significant change in demand level and find solutions to balance the supply and demand level. According to the existing literature, by doing internal integration, supplier integration, and customer integration, and supported with supply chain capability, companies can find solutions regarding market fluctuation and increase their competitive performance. This research uses 102 listed Indonesians chosen by the purposive sampling method. Research analysis was conducted using structural equation modeling and SmartPLS 3 software. This research finds that, in general, supply chain capability influences competitive performance. Meanwhile, internal integration by sharing activity information in departments and coordinating integrated planning can positively and significantly affect supplier integration and customer integration. Sharing inventory and information with suppliers and coordinating with suppliers about materials availability significantly influence supply chain capability. Internal integration also has a significant influence on supply chain capability. Customer integration with information sharing with customers and the company involving the customers when demands influence supply chain capability. Supply chain integration (internal, supplier, and customer) does not directly impact operational performance, so supply chain capability is a perfect intervening variable. Supply chain capability can help internal and external integration better affect competitive performance. This research also makes practical contributions to give managers input about how internal integration, supplier and customer integration, and supply chain capability can affect companies' competitive performance.

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.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.242
Teacher spread0.232 · 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