Leadership Behaviour, Entrepreneurial Orientation and Organisational Performance in Malaysian Small and Medium Enterprises
Bibliographic record
Abstract
The purpose of this paper is to discuss the organizational performance and entrepreneurial orientation of Malaysian Small and Medium Enterprises (SMEs). Literature has shown that leadership and entrepreneurial orientation are important for organizational performance but still inadequate. Thus, this investigation hopes to close this gap in the literature and contribute to a new understanding of relationships between leadership and organizational performance, and entrepreneurial orientation served as a mediator. This study comprised a sample of owners or managers in the manufacturing and service sectors of SMEs located in Kuala Lumpur and Selangor, as their largest representation of SME establishments and significant contributions to Malaysia economy. A cross-sectional research design was used to examine the relationships between leadership behavior, entrepreneurial orientation and organizational performance among SMEs. The respondent’s lists were sought from the SME Corp. Malaysia at http://www.smecorp.gov.my and http://www.smeinfo.com.my. Data were gathered based on a mailed questionnaire and personal administered questionnaires. The findings indicate that entrepreneurial orientation acted as a partial mediator in the relationship between leadership behavior and organizational performance. Transformational leadership and transactional leadership were found to have a significant relationship with entrepreneurial orientation and organizational performance of SMEs. An important implication of this research indicated that both transformational and transactional leadership behavior positively increased the individual outcome and lead to higher organizational performance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".