Virtual grocery shopping intention: an application of the model of goal-directed behaviour
Why this work is in the frame
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Bibliographic record
Abstract
Purpose Virtual grocery shopping (VGS), or online grocery shopping, traditionally has seen slow adoption in Canada; however, the COVID-19 pandemic has forced consumers to seek safer ways to shop. Retailers have invested in building new infrastructure to meet the current consumer demands for VGS. However, the main driver for VGS behaviour has not been yet clearly identified. Additionally, it is also not unknown whether the shopping modalities will continue VGS after the pandemic. This study provides insights into consumer intentions to use VGS by extending the model of goal-directed behaviour (MGB) to incorporate consumer technological readiness. Design/methodology/approach The study collected 935 valid survey responses from an online survey panel of Canadian consumers. A two-step approach was applied to analyse the data, comprising confirmatory factor analysis (CFA) and structural equation modelling (SEM). The data quality and model fit were tested before testing the proposed relationships among the constructs: attitude, subjective norm, perceived behavioural control, positive and negative anticipated emotions, as well as technological readiness, desire and behaviour intentions. The mediation role of desire between frequency of past online grocery shopping behaviours and the future behavioural intention was also tested using SPSS PROCESS. Findings The study results showed that attitudes, subjective norms, perceived behavioural control, positive and negative emotions, technological readiness and frequency of past VGS have a major impact on consumers' desire to embrace VGS in the future. Consumer desire also played a significant mediating role between frequency of past VGS behaviours and future shopping intention online. In addition, the frequency of past VGS showed an even stronger impact on behavioural intention among female consumers than among male consumers. Originality/value The findings of this study provide an original insight into the social, cultural and psychological factors that impact consumers' use of VGS, particularly the impacts of gender.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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