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The purpose of this study is to better understand factors related to turnover intention (TI) and job satisfaction (JS) in the information technology and engineering sectors. Specifically, this study investigates the role of workplace learning opportunities (WLO) afforded by the environment and individual’s subjective career success (SCS). The connections between learning opportunities and career success are examined, as well as their connections to JS and TI.

The current research was based on self-report questionnaire data (N = 153). The questionnaire included existing instruments measuring WLO, SCS, JS and TI. The analyses of the data included Pearson product-moment correlations, path analysis (based on multiple regression) and analysis of relative importance (dominance analysis).

Results indicated that higher access to resources that support learning, more opportunities for professional growth and satisfactory career decisions made by employees were connected to lower TI. The processes of well-being and learning are strongly intertwined and mutually reinforce each other, reducing the willingness to change a job in the near future.

This study adds to the previous research by providing more detailed knowledge on the connections between the various dimensions of WLO and SCS. The findings of the present study can offer insights for developing work environments where employees wish to remain, learn and are satisfied with their job and careers, thus ultimately supporting their well-being.

Climate change, poverty and pandemics are some of the complex real-world problems that are increasingly challenging higher education institutions (HEIs) to equip future graduates with meta-competences that have hitherto not been demanded. These graduates need to be able to capture and operate within complex systems and relationships. By focusing on complex real-world problems, this study aims to systematically review competences and frame meta-competences supporting curricula development in HEIs.

This study applies a systematic literature review according to the review protocol of Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The review process resulted in the selection of 39 articles, which were subjected to qualitative synthesis to identify competences for tackling complex real-world problems. These competences were grouped into meta-competences and aligned with the Sustainable Development Goals (SDGs).

Scientific disciplines commonly describe four competences for tackling complex real-world problems including domain-specific competence, inter-relation competence, intrapersonal competence and normative competence.

This study found that inter-relation competence is in line with all the SDGs, which is considered important for tackling complex real-world problems across disciplines.

A study in a survey design across disciplines and a weighting of these competences in respect to complex real-world problems aligned with the SDGs could contribute to a more consolidated and common understanding of the meta-competences identified.