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Record W2067930398 · doi:10.5539/ass.v7n6p125

Tourism Promotion through the Internet (Websites): (Jordan as a Case Study)

2011· article· en· W2067930398 on OpenAlexvenueno aff
Mohammad Nayef Alsarayreh, Omar Jawabreh, Khalid Alkharabsheh, Mohammed Mousa Aldahamsheh

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsPromotion (chess)TourismThe InternetMarketingBusinessPublic relationsPolitical scienceComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This research paper seeks to study the status of tourism promotion in Jordan, in particular via the Internet, with a future plan to develop this type of promotion based on the needs of the country .The aim of this research paper is to draw conclusions that help to know and understand this type of tourism promotion, And to know how to develop it in Hashemite Kingdom of Jordan to disseminate the maximum information about the Kingdom.This research paper is designed to determine the conditions of websites used in tourism promotion of Jordan, to find out the obstacles that face this type of promotion via websites, and the factors that affect its development .The findings and recommendations implied by this research paper will be presented to decision-makers in Jordan tourism sector to be taken into account. The research paper adopted carefully a survey form which is designed to collect data and information. It is used to know the trends and opinions of the research paper sample. The results showed that the tourism promotion through the Internet helps to increase competition in the prices of tourism, while the website design helps to spread information about the tourism offers. Both sexes consider that the website design as a means helps to ensure the information veracity of tourism offers.The research paper recommended to continue development of the role of tourism promotion through the Internet in spreading information about the tourism offers, so as to achieve the greatest possible benefits.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.160
GPT teacher head0.409
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

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

Citations26
Published2011
Admission routes1
Has abstractyes

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