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Record W4379364285 · doi:10.5267/j.uscm.2023.5.002

Determinants of operational performance of pharmaceutical wholesalers’ companies in Bali province

2023· article· en· W4379364285 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 · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessMarketingGovernment (linguistics)Competition (biology)Control (management)Operational efficiencyContingencyContingency theoryDistribution (mathematics)Product (mathematics)Contingency planIndustrial organizationOperations managementEconomicsKnowledge managementComputer scienceManagement

Abstract

fetched live from OpenAlex

Pharmaceutical distribution companies or also known as Pharmaceutical Drug Wholesalers (PBF) play a significant role in the distribution of pharmaceutical products in Indonesia. Without the role of PBF, the drug will not reach the patients from the manufacturer. The PBF appointed by the manufacturer to distribute the product, has operational performance targets that must be achieved. However, like other businesses, PBF operational performance is also affected by external factors, such as the COVID-19 pandemic, government regulations and competition intensity. The impact of internal factors such as limited company resources is also investigated in this research. This research tries to explore the impact of external factors, those are: the pandemic of COVID-19, government regulations, competition intensity and internal factors that are the company's limited resources to PBF operational performance. Sales strategy is also used as mediating variables from external and internal factors to operational performance, thus operational control as moderating variable from sales strategy to operational performance respectively. Data collection was obtained by questionnaires and interviews with 44 PBF operational leaders in Bali, Indonesia. Data analyzing using SmartPLS 3.0. The COVID-19 pandemic, government regulations, competition intensity and company’s limited resources have a negative impact on the company's operational performance. Sales strategy serves as a mediating variable from external and internal factors to operational performance. Operational control plays a significant role in moderating sales strategy and the performance of operational. The theoretical implication of this research is to enhance The Contingency Theory, which claims that the business environment, strategy, and control are three major contingency elements that are linked. The findings of this study also strengthen the concept of Transaction Cost Theory, which states that the relationship between the parties in a transaction is associated with rights and obligations that are poured into a very detailed agreement. The operational performance required by the principal to PBF is also included in the agreement and PBF should strive to achieve that operational 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.026
GPT teacher head0.276
Teacher spread0.251 · 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