Unlocking baby boomers’ shopping well-being: fashion orientation, involvement and experiential value
Bibliographic record
Abstract
Purpose This study investigates the factors influencing shopping well-being among baby boomers, focusing on fashion orientation, price sensitivity and experiential value. It aims to explore how these constructs interact to shape the shopping experience and enhance well-being in this demographic, with the goal of better meeting the unique needs of this demographic group. Design/methodology/approach The research adopts a quantitative methodology using a survey instrument administered to 311 Canadian respondents born between 1946 and 1964. Constructs such as fashion orientation, shopping involvement, price sensitivity and experiential value were measured through validated scales. Structural equation modeling was employed to test hypotheses and explore relationships between the constructs. Findings The results reveal that shopping involvement significantly impacts all four components of experiential value. The influence of fashion orientation on experiential value components is mixed, with some constructs, such as fashion leadership, showing a significant positive effect on social value, while others exhibit limited significant impact. Hedonic and social values emerged as the strongest predictors of shopping well-being, underscoring the importance of emotional and relational dimensions in the shopping experiences of older adults. Originality/value This study contributes to the literature on consumer behavior by focusing on the underexplored demographic of older consumers. It integrates the constructs of shopping well-being, fashion orientation and experiential value, providing actionable insights for retailers to enhance satisfaction and loyalty among this age group.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".