Moderating Effect of Gender in Repatronage Behavioral Intention: The Role of Personal Characteristics
Bibliographic record
Abstract
The agendas of consumer-centric marketing and remarkable revolution of gender in consumption have prolonged the reformation in marketing module as to entice the repatronage shoppers. The focuses of this study were to examine the repatronage behavioral intention from the personal characteristic perspective and to identify the gender-invariant of the causal relationships. Specifically, this study aimed to investigate the relationships between personal characteristics (need for activity, impulsiveness, shopping confidence, interpersonal influence susceptibility, utilitarian and hedonic shopping orientations) and repatronage behavioral intention as well as to assess the moderation effects of gender on the relationships. Reasoned Action Approach was employed as the theoretical basis of the study. The responses from 569 apparel adult shoppers were used for data analysis. Personal characteristics were found significantly associated with the repatronage behavioral intention. There was a moderation effect of gender ascertained in the identified relationships. The present study discerned some important implications for the marketing practitioners to gain insight into the characteristics of their targeted shoppers as to customize and position their product offerings accordingly.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".