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This study aims to investigate the digital entrepreneurial intentions of Albanian youth, identify the obstacles they face in starting digital businesses and examine their preferences regarding the types of businesses they aspire to establish. The Theory of Planned Behavior (TPB) is used as a framework to analyze these factors.

Primary data were collected via questionnaires distributed in public and private universities. In a sample of 325 students, Structural Equation Modeling with Confirmatory Factor Analysis, path analysis and machine learning-based text analysis were used.

This study reveals significant impacts of innovativeness, attitude towards entrepreneurship, subjective norms, perceived behavioral control and self-efficacy on digital entrepreneurial intentions among Albanian students. Additionally, text mining highlights a strong preference for digital entrepreneurship.

The theoretical contributions of this study include applying Structural Equation Modeling to reveal insights into the impact of entrepreneurial factors and obstacles. The findings can inform policymakers and educators in designing targeted interventions to support student entrepreneurship. Meanwhile, the limitations of this study encompass a small sample size, lack of time series and panel data and the absence of an evaluation of the impact of education system practices, along with the need to investigate the effects of young population emigration from Albania to the EU.

This research contributes to the understanding of digital entrepreneurial intentions and behavior by using TPB in the Albanian context, offering access to a diverse dataset from Albanian universities, testing the direct impact of innovativeness on entrepreneurial behavior and pioneering the use of machine learning techniques for text analysis. Thus, it provides novel insights into the entrepreneurial landscape in Albania. In addition, this work can drive initiatives to support student entrepreneurship and bridge the gap between academia and industry in Albania.

Western Balkans countries (WBCs) have a great potential for growth and among the main focuses of entrepreneurial activity is small- and medium-sized enterprises (SME) sector. Moreover, SMEs are believed to contribute in the economy by stimulating employment, increasing production, transferring new technologies and so forth. Due to this crucial importance the purpose of this paper is to analyze the barriers that hinder labor productivity (LP) of SMEs in WBCs.

The research method employed to discover solution to this research problem is quantitative analysis by using survey data of World Bank. Research methodology applied in this paper found it correctly to use cross-sectional data and conducts a factor analysis and ordinary least square (OLS) regression as the best procedure for this type of data.

The results show variability for different countries access to finance, tax rates, tax administration, corruption, inadequately educated labor force, competition in informal sector and political instability appear to be some of the main obstacles that are negatively affecting LP of SMEs in WBC.

Although this study is the first to analyze all the possible obstacles for the six WBCs using factor analysis better results could be obtained with larger samples and panel data.

The policy implications of this study suggest that in order to boost productivity of these firms there must be a reduction of the barriers and improvement of business environment. Although, this study is the first to analyze all the possible obstacles for the six WBCs using factor analysis and contributes as insight to policy makers, better results could be obtained with larger samples using panel data.

Differently from previous studies this work uses explanatory factor analysis and method OLS to estimate regressions for all barriers in each country of Western Balkan region.

This paper aims to analyze the presence of sustainability in 16 Spanish higher education curricula in the fields of education and engineering.

The methodology uses two instruments: sustainability map and sustainability presence map. These instruments enable analysis of the number of subjects that develop sustainability and the sustainability presence level in each curriculum; identification of what domain levels of the learning taxonomy sustainability is most developed; and analysis of whether a correlation exists between the sustainability presence and the number of subjects that develop sustainability in each curriculum.

A wide variety of subjects develop sustainability in a given degree, depending on the university. The presence of sustainability is more homogeneous in education degrees than in engineering degrees. Education degrees have a greater presence of sustainability in the lower domain levels of taxonomy, while in engineering degrees the lower levels of taxonomy have a lower presence of sustainability than the higher levels. Finally, a correlation appears to exist between the number of subjects that develop sustainability in the curriculum and the sustainability presence. However, engineering degrees seem to need fewer subjects than education degrees to achieve the same degree of sustainability presence.

This paper proposes a methodology to measure sustainability presence that can be applicable to the curricula of a higher education degree if the corresponding sustainability map is available. To the authors’ knowledge, this is the largest study yet conducted to analyze the presence of sustainability in different higher education curricula.