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Record W2775396193 · doi:10.5539/ijms.v9n6p82

The Role of Internal Customer in Improving the Quality of Hotel Services in Jordan: A Case Study of the Marriott International Hotel in Amman

2017· article· en· W2775396193 on OpenAlexvenueno aff
Ali Falah Al-zoubi, Mazen Rasmi Alomari

Bibliographic record

VenueInternational Journal of Marketing Studies · 2017
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessLikert scaleMarketingQuality (philosophy)Order (exchange)Customer satisfactionSample (material)Hotel managementCompetition (biology)Test (biology)Scale (ratio)TourismStatisticsMathematics

Abstract

fetched live from OpenAlex

The present study aims to examine the role of internal customer in improving the quality of hotel services in order to provide distinguished and high-quality hotel services seeking to gain the satisfaction of the hotel customers in the light of local and international competition. This study also focused on the internal customer represented by hotel staff from various levels of employment through a set of independent variables such as selection, training, motivation and participation in decision making for improving the quality of hotel services. The sample of this study includes all directors (13) and employees (44) from different parts of the Marriott International Hotel in Amman. The study instrument was designed as a questionnaire for collecting data which consisted of (35) paragraphs according to five- dimensional scale of Likert. In addition, this study used Statistical Package for the Social Sciences (SPSS) to test the hypotheses. The most important findings and recommendations of the present study were that the management officials of the Marriott International Hotel in Amman should develop their knowledge and skills in terms of interest in the internal customers and gain a future vision to determine their needs of human resources and that there is a significant positive relationship between the role of internal customer and the improvement of the quality of hotel services.

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)0.006
metaresearch head score (Gemma)0.002
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 score0.012
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.001
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 head0.019
GPT teacher head0.320
Teacher spread0.301 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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