This study addresses fairness in machine learning for student academic performance prediction using the UCI Student Performance dataset. We comparatively evaluate logistic regression, Random Forest, and XGBoost, integrating the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance and 5-fold cross-validation for robust model training. A comprehensive fairness analysis is conducted, considering sensitive attributes such as gender, school type, and socioeconomic factors, including parental education (Medu and Fedu), cohabitation status (Pstatus), and family size (famsize). Using the AIF360 library, we compute the demographic parity difference (DP) and Equalized Odds Difference (EO) to assess model biases across diverse subgroups. Our results demonstrate that XGBoost achieves high predictive performance (accuracy: 0.789; F1 score: 0.803) while maintaining low bias for socioeconomic attributes, offering a balanced approach to fairness and performance. A sensitivity analysis of bias mitigation strategies further enhances the study, advancing equitable artificial intelligence in education by incorporating socially relevant factors.

This study broadens the existing knowledge on the antecedents of individual innovativeness. The paper aims to explore the influence of gender, age, and job natu

The rapid advancement of information technologies and the widespread use of the Internet have profoundly transformed individuals’ daily practices and consumer behaviors. Notably, the growing influence of social media platforms has shifted a significant portion of commerce to digital environments and deeply affected online purchasing processes. In this context, the purpose of this study is to examine the direct effect of digital literacy on online purchase intention and to investigate the mediating role of social media use within this relationship. The study sample consists of 401 participants from various cities across Türkiye who actively use social media. Data were collected through an online survey and analyzed using the Structural Equation Modeling (SEM) approach. The findings reveal that digital literacy significantly predicts both online purchase intention and social media use. Moreover, social media use has a positive and statistically significant effect on online purchase intention. Importantly, it was found that social media use partially mediates the relationship between digital literacy and online purchase intention. By highlighting how digital literacy and social media jointly influence online consumer behavior in an era of emerging digital technologies and marketing innovation, this study contributes to both the academic literature and practitioners developing effective digital marketing strategies.

The technology development of society has a strong impact on the labor market. The use of artificial intelligence leads to changes in the requirements for occupying certain professions, the elimination of same positions, as well as the appearance of new professions. This necessitates changes in the organizational structure and job design. Also changing are the requirements for employees who must acquire new knowledge and develop skills to be able to occupy certain professions. The turbulent business environment also requires organizations to be able to identify emerging trends and quickly respond to these new demands in order to stay in the market. It is here that to stay “in the game” analysis is needed, which projects future trends using artificial intelligence.

In order to achieve sustainable development related to full and productive employment and ensuring decent work for workers, it is necessary to develop technological documents to ensure the activities of organizations, which will guarantee the labor rights of employees and provide a secure work record. The development of documentation to ensure the work process is the responsibility of the organization’s managers. They should develop and adopt technological documentation, reflecting the specifics of the organization and the legal framework in the following main areas: organization of activity, documents related to human resources management and financial-accounting documentation. The object of study in the article are the secondary budget spending organizations operating in the performing arts sector in Bulgaria. Theater, music, dance are present in all cultures and societies, without losing their magnetic and power. Culture occupies an important place in the life of a society, along with social well-being and economic development. It is for this reason that those employed in the performing arts sector should be provided with decent working conditions related to the possibility of carrying out creative and innovative work, remuneration, opportunities for development and ensuring a safe working environment. The specialized literature does not propose a unified set of documents applicable to cultural institutes related to the organization of activities, human resources management and financial documentation. In this article, as a result of analysis and research of the performing arts sector, the authors proposes a set of technological documents that should be applied to cultural institutes.