The Effects of Security and Privacy Information on Trust & Trustworthiness and Loyalty in Online Marketing in Malaysia
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".