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Record W2102003141 · doi:10.5539/ass.v11n26p183

The Examination of the Influence of Transformational Leadership over Commitment to Service Quality: A Case of Hospitals of Sindh, Pakistan

2015· article· en· W2102003141 on OpenAlexvenueno aff
Munwar Hussain Pahi, Kamal Ab Hamid

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipService (business)Service qualityBusinessQuality (philosophy)Leadership stylePsychologyPublic relationsMarketingPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

Majority of the main stream literature provides the evidence that commitment to service quality (CSQ) is vital in ensuring excellent service quality. Past studies on the commitment to service quality are also limited only to the management level of analysis in service industries so the main focus of this study is to examine the relationship between transformational leadership style and commitment to service quality among the medical staff of Sindh Pakistan. A total number of 317 questionnaires were received through survey questionnaire from medical staff in four cities of Sindh, Pakistan. The data was analyzed using SmartPLS 2.0. The findings of this study indicate a significantly positive relationship between transformational leadership style and commitment to service quality. The managerial implications for the top management of hospitals are discussed. Policy makers, leaders at hospital, they motivating the staff to towards commitment to service quality. Results focused on how transformational leadership style can be used to manage commitment to service quality.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.067
GPT teacher head0.327
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2015
Admission routes1
Has abstractyes

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