Contextual factors of entrepreneurship intention in manufacturing SMEs: the case study of Iran
Bibliographic record
Abstract
Purpose The purpose of this paper is to establish the contextual factors that influence entrepreneurial intention to start the small and medium enterprises (SMEs) in Iran and to investigate why some manufacturing sector entrepreneurs achieve growth objectives while others do not. Design/methodology/approach In-depth semistructured interviews of 25 participants were used to investigate the contextual factors of entrepreneurship intention. On the basis of the data collected, a thematic content analysis has been carried out. Findings A set of contextual and cultural factors has been highlighted by the analysis. Data analysis led to the extraction of three main themes: external, internal and personal factors that were found to be significant determinants of entrepreneurship intention. In relation to the effect of these factors on their entrepreneurial behaviors, it emerged that there were the major barriers to entrepreneurial intentions including lack of resources, financial challenges and economic situation, which affected how they made strategic decisions about their plans. Moreover, the findings show that the key dimensions of organizational structure, public policies, social media, education and soft skills development are vital features and being influential in entrepreneurship. Research limitations/implications The study has industry-specific, size-specific and region-specific limitations. The qualitative research approach affects the generalizable character of the results. Practical implications The research findings have important implications for practicing entrepreneurs, start-ups and policymakers. The manuscript suggests a transition to a more collaborative approach from experts and practitioners in the field through policymakers to tackling the underlying determinants of entrepreneurship intention in Iran as a motive to economic growth. This research is significant since its findings should help regulators and investors better understand the opportunities and threats among manufacturing SMEs. This study implies a step forward in research into the entrepreneurship intention and SMEs literature, since the results differ from the evidence found for large companies in developing countries such as Iran. There is also a great contribution toward the debate regarding the need to consider the context and the type of firm in enterprise development studies. Originality/value This is the first empirical study conducted in Iran that explores three key elements of entrepreneurship intention interactively in Iran through qualitative research analysis. The research study fills a literature gap on the determinants of manufacturing SMEs’ functions. This manuscript explores the contextual factors that influence on entrepreneurial behavior in a conflict country context, using a thematic analysis for in-depth results. A new approach to evaluating entrepreneurial opportunities was used. The advantage of this empirical strategy is that it takes into account in more detail the content observations and experiences with the industry-specific insights. It also gives more description about the contingent nature of practice. Moreover, this qualitative research acknowledged the areas of conflict and contradiction around entrepreneurship phenomena among SMEs.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".