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Record W4411656817 · doi:10.51847/jprpvxir4d

10.51847/jpRPvxIr4D

2000· article· en· W4411656817 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOutsourcing and Supply Chain Management
Canadian institutionsnot available
Fundersnot available
KeywordsOutsourcingPerspective (graphical)BusinessPetroleum industryProcess (computing)MarketingPsychologyEngineeringComputer science

Abstract

fetched live from OpenAlex

Now days, One of the concepts that have been heard in industry and services is the concept which called "outsourcing", Successful managers in organizations around the world use of outsourcing as an effective strategy to achieve Strategic goals.An important issue is considered for those areas of the business environment in the use of outsourcing, Is that a company (organization) decides to what activities they outsource and what activities they do for themselves?The problem what senior managers faced by that, is not used of outsourcing, but also set an activity that should be outsource.And this requires that become clearly defined the processes of outsourcing strategy, The aim of the study, "Investigation and Pathology of affective Factors(Internal factors include management considerations, strategic considerations, security considerations, factors associated with quality, factors associated with service features) and (external factors including: technology factors, social factors, political factors and economic factors) on the process outsourcing performance from the perspective of managers and employees of petroleum industry.To perform this study, is used two index questionnaire and the reasons of outsourcing, and the causes of unsuccessful outsourcing.The study consisted of managers and industry insiders Islamic Republic of Iran (General Directorate of administration and engineering departments of the Ministry of Oil and conserving the structure and main companies and subsidiaries of the oil industry) that are 130 persons; so 97 subjects were chosen as samples by using Cochran formula.To analyze the data was used of t test ,Wilcoxon test and Spss software.The results show that, the number of 24 variables which identified in the performance of outsourcing process was successful from the perspective of managers and employees of the oil industry, and administrators and managers who should pay attention to outsourcing.In addition, among 24 variables, the two variables (technology factors), and (social factors), has the least impact on performance and 2 variables (economic factors) and (organizational internal and external factors), have the greatest impact on performance of outsourcing processes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.052
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9480.948

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 head0.006
GPT teacher head0.161
Teacher spread0.155 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2000
Admission routes1
Has abstractyes

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