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Record W2732656432 · doi:10.5430/jms.v8n3p1

Factors Influencing Continuous Intention to Use of Event Management Electronic Portals in 4 and 5 Star Hotels

2017· article· en· W2732656432 on OpenAlexvenueno aff
Ra’ed Masa’deh, Ali H. Al‐Badi, Aseel Rashaideh, Jaafer Abu-Zahra, Jamal Alsmadi

Bibliographic record

VenueJournal of Management and Strategy · 2017
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsStructural equation modelingUsabilityPsychologyTechnology acceptance modelSocial psychologyExternal variableConstruct (python library)Applied psychologyComputer scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

The purpose of this study is to examine the associations among perceived relative advantages, compatibility, perceived ease of use, perceived usefulness, perceived enjoyment, and continuous intention to use event management electronic portals in Aqaba 4 and 5 Star hotels. A survey instrument was used to examine the relationships in the proposed model. The collected primary data (n=200) from employees who are familiar with hotels’ event management electronic portals located in Aqaba city is conducted to test the relationship between exogenous and endogenous construct expressed in the proposed structural model. By employing SEM (Structural Equation Modeling) analysis, the findings revealed that while both variables perceived relative advantages and compatibility directly, positively, and significantly impacted perceived usefulness; both variables did not impact perceived enjoyment. Also, perceived ease of use has significant impacts on perceived usefulness and perceived enjoyment. In addition, both of perceived usefulness and perceived enjoyment found to impact continuous intention to use.

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)0.000
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 score0.144
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.254
Teacher spread0.227 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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