Investigating the Moderating Role of Enjoyment in the Relationship between Brand Image, Service Quality, and Convenience in Search and Purchase Behaviour in Multichannel Retailing
Bibliographic record
Abstract
Multi-channel shopping is a purchasing pattern by which consumers use multiple channels, such as the Internet, catalogue, mobile, and brick-and-mortar stores, to make purchases. The aim of this research was to investigate the factors affecting search online and purchase offline. Data collection was conducted using an online survey administered to a consumer panel in the US. Retrospective sampling was adopted for the study and the sampling framework for the present research consisted of consumers who had recent shopping experience with the offline channel and search experience using the online channel of a retailer. The results illustrated that all research question are not significant and were not effective on search online and purchase offline; however, brand image on online and offline channel had a significant effect on attract consumers to search online and purchase offline. This study had that consumer perception and satisfaction with service, brand image, and convenience has positive and significant effects on future intentions to search online and purchase offline. This study showed the role of search online as a mediator in the relationship between brand image, service quality, and convenience with offline purchase.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".