Examining Consumers' Behavioral Intentions Towards Online Home Services Applications
Bibliographic record
Abstract
On-demand home service application (HSA) is a technological advancement that has brought various day-to-day services to our doorstep with just a few clicks. By using consumer-perceived values (utilitarian, hedonic, and social), trust transfer theory, and commitment-trust theory, the present study aims to investigate the factors influencing sharing intention and repurchase intention of consumers towards using HSAs on their mobile phones. This study involves collecting data from 357 respondents in India and analyzing the same using the SmartPLS 3 software. The results indicate that trust in HSA is influenced by utilitarian value and social value, but not by hedonic value. Trust in HSA results in repurchase intention, commitment, and sharing intention. Interestingly, trust in the user community affects sharing intention but not repurchase intention and commitment. The study integrates the consumer-perceived value, trust transfer theory, and commitment-trust theory to build an integrative framework that explains the consumers' sharing and repurchase intentions towards HSAs.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".