Investigating the Effect of Online Service Delivery on Purchasing Intention: Experience from Food Shoppers in Mogadishu, Somalia
Bibliographic record
Abstract
This study aims to investigate the impact of online service delivery on the purchasing intention of food buyers using the technology acceptance model (TAM) and the theory of planned behaviour (TPB) to provide a more robust understanding of online food purchase intention.A total of 416 questionnaires were obtained from consumers who had experience with online food delivery services in Mogadishu, Somalia.A partial least square (PLS) path modelling approach was used to analyze the collected data.The study result revealed that Attitude, Subjective Norms, Perceived Control, and Perceived Ease of Purchase substantially impact the purchasing intention of food buyers in Mogadishu, Somalia.However, the findings did not support the hypotheses about Perceived Usefulness and Personal Awareness.This study contributes to the existing literature by examining the TPB and TAM theories in relation to the intention to purchase food online.The study also encourages further research to gain deeper insights and explore additional variables that might shape purchasing intention in this context, including political stability and technology infrastructure.
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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 | 0.001 | 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) | 0.002 | 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".