Consumer perceptions on satisfaction and word of mouth in smallholder horticultural stores in an emerging economy
Bibliographic record
Abstract
Based on the expectancy disconfirmation theory, the study presents a conceptual model exploring consumer perception (perceived service quality, product quality, price, and corporate social responsibility) effect on satisfaction and word of mouth in smallholder horticulture stores. A quantitative analysis using Partial Least Squares-based Structural Equation Modeling (PLS-SEM) was carried. This method was used to identify elements influencing satisfaction and to explore the hypothesised relationships between consumer perceptions, satisfaction, and the spreading of positive word of mouth. The findings identify the perceived service quality and product quality as factors that enhance satisfaction. However, the perceived quality of the product is the only factor that aids word of mouth. Correspondingly, perceived product quality shows a favorable relationship with perceived price. On the other hand, perceived price and corporate social responsibility do not strengthen customer satisfaction, with corporate social responsibility not aiding word of mouth. Furthermore, the study tested the strength of cus-tomer satisfaction as a mediating variable between consumer perception and word of mouth, and none of the results proved significant. Similarly, perceived price does not mediate the path between perceived product quality and customer satisfaction. The study is of benefit to scholars, smallholders, and agricultural policymakers, particularly in emerging economies.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".