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Foreign direct investment (FDI) from developing economies has increased sharply since the beginning of the 2000s. While most investment flows correspond to firms from large economies, small developing economies have also witnessed the increase of outward investment flows from their domestic companies. The literature on outward FDI (OFDI) from developing economies has focused mainly on large emerging countries, such as China and India. In the case of small developing economies, for which there is scant empirical evidence, firms willing to invest abroad face a different business environment with several barriers such as a small domestic market to achieve economies of scale and a limited supply of specialised resources. In this setting, the purpose of this paper is to examine firm-level strategies and the home-country effects in a small developing economy.

A research case study is conducted through a representative sample of Costa-Rican firms investing abroad. Costa Rica makes a strong case since it stands out among small developing economies investing abroad in terms of both the number of operations and the amount of OFDI.

The main findings are: outward investment is not only for large and mature firms, as medium and small-sized firms are actively investing abroad; most firms pursue a market-seeking strategy; the benefits for the firm and the home country are stronger when companies follow a clear outward investment strategy; and there is a positive relationship between international trade and OFDI.

This paper provides novel empirical evidence to better understand an emerging trend in OFDI: in an increasingly integrated world economy, even SMEs from small developing economies are compelled to internationalise their operations in order to compete successfully.

This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs).

The research is characterized as exploratory with qualitative/quantitative approach. The proposed model was developed as a computational algorithm with a pilot being adopted as a professional master in national network for teaching in environmental sciences (ProfCiAmb) comprising associated courses from nine Brazilian public universities. 230 dissertations completed between 2018 and 2020 were analyzed.

A total of 266 correlations were identified between the texts and descriptors of each SDG. Correlation values between 0.100 (minimum value – Vmin) and 0.464 (maximum value – Vmax) were observed. SDG 4 – Quality Education (Vmax = 0.399) and SDG 6 – Drinking Water and Sanitation (Vmax = 0.464) were those with the highest correlation values, followed by SDG 3 – Health and Well-Being (Vmax = 0.299) and SDG 17 – Partnerships and Means of Implementation (Vmax = 0.249).

The construction of the computational algorithm provided consistent quantitative analyses with potential to contribute to the improvement of the multidimensional evaluation of graduate studies, as well as to support public policies related to teaching and research and strategic planning of the programs.

The relevance of this study lies in the creation of a model that involves the creation of metrics and tools regarding the impact of graduate studies on society.

This study aims to examine how Brazilian universities have implemented the sustainable development goals (SDGs) in institutional practices, curriculum and teaching, management and community outreach programs.

This study is based on content analysis of the data sets of Brazilian higher education courses and their link to SDGs. A literature review has also been developed to integrate the knowledge of sustainability practices in Brazilian universities. Dashboards will be used to present the related findings.

Brazilian universities’ practices have concentrated their efforts on SDGs, which include responsible consumption and production, sustainable cities and communities and quality education. The literature emphasizes energy efficiency, reflecting its prominence as a subject of study among universities.

This research highlights the innovative use of data analysis techniques to present the findings. It also provides examples of environmental, social and governance (ESG) practices, frameworks and tools that can help sustainability management in this sector.