Ecolodge Entrepreneurship in Emerging Markets: A New Typology of Entrepreneurs; The Case of IRAN
Bibliographic record
Abstract
This study aims to clarify how ecolodge entrepreneurship evolves from idea formation to ecolodge establishment in emerging markets. The related process affects authentic ecolodge development. The research employed grounded theory to explore this process and its implications to examine for the first time how individuals enter the ecolodge industry in an emerging market. The interaction of four constructs (namely drivers, motives, context, and idea sources) explains the costs and benefits that ecolodge entrepreneurs perceive in entering this industry. Moreover, we develop a new typology of tourism entrepreneurs in an ecolodge context based on the combined approach. Entrepreneurs are classified into three segments, including ecolodge lovers, cool job seekers, and young detached entrepreneurs. Although the ecolodge lovers were most in line with the principles of sustainable tourism and most likely to set up authentic ecolodges, most of the entrepreneurs belonged to the other two clusters. The explored process and typology highlight coordinated action in the development of ecolodges.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".