Main Article Content
Small and medium-sized enterprises (SMEs) are now unquestionable contributors to economic development on the one side and employment creation on the other. To promote sustained growth, SMEs must meet specific prerequisites, particularly the leadership structures of this segment. Therefore, this research aims to investigate and identify the determinants that affect SMEs performance. The research employs a qualitative technique, using questionnaires containing 52 questions. The study surveyed 336 SMEs owners or managers from March to April 2022. The Multinomial Logistic Regression (MLR) empirical technique explored the influence of education level, previous experience, training attendance, business plan, consultation services, and employees' insufficient competency in SMEs performance. The research has revealed that the level of education and consultancy services positively impact SMEs performance. In contrast, neglect of training and employees' insufficient competence harm SMEs performance. The study encourages SMEs owners and managers to take advantage of professional training opportunities and to invest in existing personnel through training to acquire acceptable competence, which will be reflected in management performance. From the perspective of the contribution, it provides the most recent evidence in the context of Kosovo's economy, employing the logistic regression analysis.
This work is licensed under a Creative Commons Attribution 3.0 Unported License.