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This study aims at measuring the results of the use of an improved and innovative teaching method, specifically designed for supporting the development of students’ entrepreneurship competence, through students’ self-assessment before and after the teaching.

The teaching methods design was based on the effectuation approach and considering the comprehensive entrepreneurship competence model as theoretical grounding. The teaching methods experimentation took place in three countries (Estonia, Italy and Poland), collecting pre–post self-assessment surveys from 404 students of entrepreneurship courses. The results of the experimental groups were compared, in each country, with those of control groups not exposed to the same teaching.

Students participating in classes using innovative teaching methods declared an increase in entrepreneurship competencies, with statistically significant differences, contrasting the results in the control group. The positive changes in self-assessment were observed for 13 of 14 subcompetencies investigated. The increase in the level of the self-assessment of entrepreneurship subcompetencies was significantly greater among bachelor’s degree students.

The strengths of the study include a diverse research sample and a uniform structure of teaching design applied in three different countries, while specific comparative studies on entrepreneurship education and its effect on learners are limited. Moreover, this study used a pre–post design and involved a control group, while most of the existing research on the effect of entrepreneurship teaching are based on different methods. Finally, while most studies measure the impact of entrepreneurship education by focusing on entrepreneurial intentions, this study focused on the development of students’ entrepreneurship competences.

This research analyzed the existing academic and grey literature concerning the technologies and practices of people analytics (PA), to understand how ethical considerations are being discussed by researchers, industry experts and practitioners, and to identify gaps, priorities and recommendations for ethical practice.

An iterative “scoping review” method was used to capture and synthesize relevant academic and grey literature. This is suited to emerging areas of innovation where formal research lags behind evidence from professional or technical sources.

Although the grey literature contains a growing stream of publications aimed at helping PA practitioners to “be ethical,” overall, research on ethical issues in PA is still at an early stage. Optimistic and technocentric perspectives dominate the PA discourse, although key themes seen in the wider literature on digital/data ethics are also evident. Risks and recommendations for PA projects concerned transparency and diverse stakeholder inclusion, respecting privacy rights, fair and proportionate use of data, fostering a systemic culture of ethical practice, delivering benefits for employees, including ethical outcomes in business models, ensuring legal compliance and using ethical charters.

This research adds to current debates over the future of work and employment in a digitized, algorithm-driven society.

The research provides an accessible summary of the risks, opportunities, trade-offs and regulatory issues for PA, as well as a framework for integrating ethical strategies and practices.

By using a scoping methodology to surface and analyze diverse literatures, this study fills a gap in existing knowledge on ethical aspects of PA. The findings can inform future academic research, organizations using or considering PA products, professional associations developing relevant guidelines and policymakers adapting regulations. It is also timely, given the increase in digital monitoring of employees working from home during the Covid-19 pandemic.