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Record W2947645028 · doi:10.5430/ijba.v10n4p13

The Influence of Delegation of Authority and Management Control on the Effectiveness of Managerial Decision-Making in the Arab Pharmaceutical Manufacturing Company Limited in Al-Salt City in Jordan

2019· article· en· W2947645028 on OpenAlexvenueno aff
Mohammed A. Abu Rumman, Amani Abdelhafeeth Alzeyadat

Bibliographic record

VenueInternational Journal of Business Administration · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDelegationSample (material)Control (management)BusinessPopulationPharmaceutical manufacturingOperations managementMarketingManagementMedicineEconomicsEnvironmental health

Abstract

fetched live from OpenAlex

The purpose of this study was to identify the influence of delegation of authority and administrative control on the effectiveness of managerial decisions in the Arab Pharmaceutical Manufacturing Company Limited in Al-Salt city in Jordan taking into account the demographic factors: gender, age, years of experience, educational qualifications, and job position. Data were collected through survey questionnaires, which were distributed among the sample of the study. The researchers used a census-style for collecting data from the population of the study which consisted of (286) employees in the Arab Pharmaceutical Manufacturing Company Limited in Al-Salt city. The (252) questionnaires that were distributed amongst the study sample were valid for statistical analysis. The researchers used many statistical methods, including; frequencies, percentages, arithmetic mean, standard deviation, simple and multiple regression. The results indicated that there was a statistically significant impact of the delegation of authority and administrative control on the effectiveness of management officials’ administrative decisions of the Arab Pharmaceutical Manufacturing Company in Al-Salt city.

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 score0.438
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.286
Teacher spread0.273 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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