Relating Big Five Factor Model to the Acceptance and Use of On-line Shopping
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>The main purpose of this paper is to determine the influence of the Big Five personality traits on consumers’ online shopping performance and perceptions of shopping experience. Building on previous research, it was found that personality characteristics shape an individual’s motivation, goals, and perception, thereby providing criteria to evaluate external stimuli and affect performance. The influence of personality traits on a consumer adopting online purchases as well as his acceptability and adaptability with the said medium is assessed. The paper consists of theoretical and research aspects. The first part encompasses theoretical insights into the secondary research regarding personality traits while the practical part presents the methodology and primary research results. In the study, research goals as well as previous findings and primary research results, corresponding hypothesis were set and confirmed. Inter variable correlation analysis has been performed to test the hypothesis followed by a regression analysis. The results potrayed respondents’ consistency in their personality traits (Extraversion, Openness to Experience and Conscientiousness) and their behaviour while shopping online. However, the trait neuroticism did not conform to the generalisation and hence did not display consistency between the trait and its related behaviour in online shopping.</p>
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 it