E-Commerce in Serbia: Where Roads Cross Electrons Will Flow
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
A qualitative exploration into conditions for diffusing e-commerce in Serbia was conducted by using a multidimensional model. Serbia is a country located at an important geographical location in southeast Europe, which descended on a path of political and economic changes after a decade of stagnation. Our main finding is that the process of diffusing e-commerce in Serbia resembles a car hesitating at a traffic light because all lights are flashing at the same time. Dynamics within the areas of software industry, e-payment/e-banking, and legislation support e-commerce. In contrast, the telecommunications infrastructure and ownership as well as customer beliefs and behaviors halt it. The ambivalent yellow light is triggered by the state of traffic/delivery and education. Research contributions of the study refer to advancing the understanding of trust as a major enabler of e-commerce and to filling the void in the literature on a potentially important country. Practical contributions refer to creating a country profile along with development prospects that can be useful to other developing countries and global e-commerce players.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.014 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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