The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.538
- Threshold uncertainty score
- 0.664
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.328 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
Global usage of the Internet has increased remarkably in the past few decades, thus necessitating a better understanding of e-commerce adoption across cultures. Against this backdrop, this study contributes to the existing technology adoption and acceptance literature in the following ways. First, the authors develop an extended technology acceptance model that incorporates trust and perceived behavioral control and examine it in settings outside the United States to better understand the adoption of e-commerce across cultures. Contrary to the authors’ expectations, the predictive power of the technology acceptance model seems robust and holds true for both Pakistan and Canada, despite some noteworthy differences between the two cultures. Second, although the importance of perceived ease of use and perceived usefulness on consumers’ intentions to shop online was validated across both cultures, the results highlight the complex relationships between perceived ease of use, perceived usefulness, and intention to adopt in each country. The authors offer suggestions to technology managers and e-retailers regarding navigating through new technology and e-commerce adoption under various cultural contexts.
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.
The record
- Venue
- Journal of International Marketing
- Topic
- Technology Adoption and User Behaviour
- Field
- Decision Sciences
- Canadian institutions
- Brock University
- Funders
- not available
- Keywords
- Technology acceptance modelUsabilityMarketingBusinessThe InternetE-commerceHofstede's cultural dimensions theoryControl (management)Predictive powerKnowledge managementPsychologySocial psychologyComputer scienceEconomicsWorld Wide WebManagement
- Has abstract in OpenAlex
- yes