Comparative analysis of franchising in international markets
Bibliographic record
Abstract
The growing role of franchising at the global level requires its further improvement. This business model has great business potential, especially in the Serbian market, given the current underdevelopment and inaccessibility of information. At the core of our research, we outlined the characteristics of this business model, its impact on business development and at the same time we tried to draw the attention of domestic business entities to the benefits of franchising as a modern way of doing business. We start our research with a focus on the comparative analysis of Serbia, as a very poorly developed market. We then discuss the concept of franchising in Europe, with a special focus on Poland as a country that is ready to export franchising systems, and we continue by providing comparisons with the world's largest markets, namely, the USA and Canada. In this paper, we tried to elaborate on the economic viability of this project, as well as the increasing expansion and importance franchising has been experiencing in the last few years. Emphasis is placed on the use of franchise in many areas of business where there is the possibility of implementing both business models.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".