Search results

This study aims to analyze the entrepreneurial intention (EI) of Colombian researchers using machine learning (ML) techniques, considering their academic activity, contexts and social norms (SN).

Unsupervised classification techniques were applied, including principal component analysis, hierarchical clustering with the Ward method and a logistic model to evaluate the classification. This was done to group researchers according to their characteristics and EI.

The methodology used allowed the identification of three groups of academics with distinct characteristics, of which two showed a high presence of EI. The results indicate that EI is influenced by the connection with the private sector (consulting, intellectual property and applied research) and by the lack of institutional support from universities. Regarding SN, only the preference for entrepreneurial activity over being an employee and the social appreciation of entrepreneurial dedication were identified as predictors of EI.

The use of ML techniques to study the EI of researchers is uncommon. This study highlights the ability of the methodology used to identify differences between two groups of academics with similar characteristics but different levels of EI. One group was identified that, despite rejecting values associated with entrepreneurs, has a high predisposition to develop a career as an entrepreneur. This provides valuable information for designing policies that promote EI among Colombian researchers.

This study explores what impact high-performance work practices (HPWP) – from the ability-motivation-opportunity (AMO) framework – might have on financial performance among family firms and examines the mediating role played by family-centered goals (FCGs).

The empirical approach is based on data collected from a sample of 339 Spanish small and medium-sized family enterprises operating in the industry and service sectors. To test the hypotheses, this paper applies a path analysis modeling tool to estimate both indirect and direct effects in mediator models.

The results indicate that the AMO framework has a significant impact on financial performance through the lens of FCGs. In addition, family businesses' keen concern to preserve family wealth influences the effectiveness of HPWPs, making firms more socioemotionally oriented at the expense of economic impact.

This paper underscores the importance of integrating family aspirations into strategic human resource management (HRM) design, emphasizing the significance of socioemotional wealth (SEW) preservation.

The findings offer practical insights for family managers, family owners and human resource (HR) practitioners, suggesting the need to align HR practices with family goals and to strategically balance socioemotional and financial wealth considerations. Family owners in key management positions must skillfully manage HR strategies in order to harmonize family and firm goals.

By examining the mediating effect of FCGs, this paper advances and extends SEW theory in the context of HRM by considering the relationships between HR practices and firm performance as a mixed gamble approach.

This study aims to investigate the integration of heritage language and culture in technology-enhanced bilingual education and examine the dominance of the English language and culture in computer-assisted language learning settings.

This research used a narrative inquiry methodology. The data came from semi-structured interviews with 25 bilingual teachers in the Kurdistan region of Iraq and Texas.

The study found a significant bias in the use of technology toward the target language, often at the expense of heritage language and culture. The curricula analyzed were predominantly focused on superficial cultural elements of the target language, leading to a neglect of deeper cultural engagement.

This research highlights the phenomenon of cultural cringe within bilingual education and the skewed use of technology toward the target language.