Effects of Convenience Online Shopping and Satisfaction on Repeat-Purchase Intention among Students of Higher Institutions in Indonesia
Bibliographic record
Abstract
The purpose of the research is to empirically study the students perceptions towards facilitation in online shopping on particular products online. The research design used quantitative approach through research instrument. The unit of analysis in this study was Indonesian students who have done online shopping. The data were gathered through face to face distribution by the researcher. Purposive sampling was used to collect sample of this research. The total respondents under this study were 212 who were students of five Universities in Surakarta area, i.e. Health Polytechnic of Surakarta, Muhammadiyah University of Surakarta, Sebelas Maret University of Surakarta, Unggulan Polytechnic of Sragen, and AUB Economics College of Surakarta. This research indicated that all dimensions of convenience in online shopping (access convenience, information convenience and transaction convenience) have a positive effect towards consumer’s satisfaction. These empirical research findings have also shown the significant positive effect of the consumer’s satisfaction towards repeatpurchase intention. This research has also given theoretical contribution towards Fishbein and Ajzen theory which is also known as reasoned-action theory.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".