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Record W2969256174 · doi:10.5539/ijms.v11n3p125

An Investigation of Factors Affecting E-Marketing Customers’ Behavioral Intention to Use the Telecommunication Industry in Jordan

2019· article· en· W2969256174 on OpenAlexvenueno aff
Mohammad Issa Al Zoubi, Ahmad Issa Al Zoubi

Bibliographic record

VenueInternational Journal of Marketing Studies · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsMarketingBusinessQuality (philosophy)Service qualityTelecommunications serviceMarketing researchService (business)TelecommunicationsAdvertisingEngineering

Abstract

fetched live from OpenAlex

The main concern of any organization is the client. Telecommunication is an operation-based organization that prioritizes to discover methods for fulfilling the client’s needs. Detecting this significance, this research was carried out to investigate the variables that could impact the client’s behavior toward e-marketing businesses in Jordan. The researchers collected the data using the questionnaire survey method. The research result revealed that relative advantage, complexity, compatibility, electronic marketing, quality of a website, quality of mobile service and strategies were found to be significantly associated with e-marketing customers’ behavioral intention to use the telecommunication industry. Additionally, Telecom owners and operators have to improve services quality as much as they could in light of the fact that it is the most significant factor of client’ choices in the telecom industry in Jordan. Finally, this research can be extended to other Arab countries to enable them to comprehend the various factors that impact customers’ behavior.

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)0.018
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.152
GPT teacher head0.437
Teacher spread0.285 · 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.

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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