Barriers to Electronic Commerce Adoption in Small and Medium Enterprises: A Critical Literature Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study is attempting to determine if the barriers reported in early e-commerce researches differ from those found in recent e-commerce studies as well as exploring if the resultant barrier groupings created from e-commerce barriers are dissimilar. To achieve our research’s aim, an extensive literature review was conducted based on what we believe to be representative sample of some of the most cited pieces of research on this topic. The study concludes that though the issues inhibiting SMEs in their uptake of e-commerce are seemingly endless, the reality is that these issues have largely remained the same since the advent of e-commerce in the early 1990’s. The implication of our study is that researchers should stop reinventing the list of e-commerce adoption barriers but instead focus their efforts on how SMEs can overcome these barriers so as to reap the full benefits of the technology.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it