Exploring the Effect of Individual Factors on Business Failure in Iranian New Established Small Businesses
Bibliographic record
Abstract
The majority of Entrepreneurship studies have focused on Business success while little information regarding Business failure exists. However our knowledge of entrepreneurship is not complete without recognition of the business failure. Also, more researches in this field have been done in developed countries and it is limited studies in those countries where economic, social, cultural and political differ. Individual factors are the main ones affecting the entrepreneurial process. This is a study on a sample of new established small businesses in industry sector. First, in qualitative study, interview analysis of 10 semi-structured interviews lead to identified four groups of individual factors including motivations, skills, capabilities, and characteristics. Then, these individual factors have been evaluated in a sample of 158 unsuccessful businesses and data analysis of 52 complete questioners pointed out that “Lack of crisis management skills” and “Lack of marketing, financial and human resource management skills” are the main individual factors affecting business failure in new established small businesses in industry sector.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".