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Record W2107292134 · doi:10.5539/ijms.v2n2p223

The Effects of Security and Privacy Information on Trust & Trustworthiness and Loyalty in Online Marketing in Malaysia

2010· article· en· W2107292134 on OpenAlexvenueno aff
Hamed Armesh, Habibollah Salarzehi, Noor Mohammad Yaghoobi, Alireza Heydari, Davoud Nikbin

Bibliographic record

VenueInternational Journal of Marketing Studies · 2010
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessThe InternetTrustworthinessLoyaltyMarketingVariety (cybernetics)Internet privacyAdvertisingComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The internet is a medium that is soaring in polarity in almost every facet of the world and is used for a myriad ofreasons by individuals, governments, universities and businesses. As far as businesses are concerned, the internethas been subject to a variety of experimentations that seek to determine the viability of using the internet toimprove business practices in various industries especially in computer industry in Malaysia. One particular aspectof business is that the internet marketing has a great impact on computer industry in Malaysia. The purpose of thisresearch is to investigate the effects of security and privacy information on trust & trustworthiness and loyalty inonline marketing. Data were gathered from 104 respondents who are the literate Malaysian and the foreigners inMalaysia that are able to read and write and hence capable of using internet and its facilities. The results showedthat there is a significant correlation between trust & trustworthiness and security and privacy information. Theresults also revealed that there is a significant correlation between loyalty in online marketing and trust &trustworthiness.

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)0.011
metaresearch head score (Gemma)0.057
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 score0.063
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.057
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.373
Teacher spread0.345 · 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

Citations24
Published2010
Admission routes1
Has abstractyes

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