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Drawing on the work of Niklas Luhmann, the paper argues that technology can be viewed as a self-referential system which is autonomous from both human beings and other function systems of society. The paper aims to develop a philosophy of technology from the work of Niklas Luhmann. To achieve this aim, it draws upon the systems-theory work of Jacques Ellul, a philosopher of technology who focuses on the autonomous potential of technological evolution.

The paper draws on the work of Niklas Luhmann and Jacques Ellul to explore the theme of autonomous technology and what this means for our thinking about technological issues in the twenty-first century. Insights from these two thinkers and researchers working in the Luhmannian sociological tradition are applied to remote work.

The sociological approach of Luhmann, coupled with Ellul's insights into the autonomous nature of technology, can help us develop a systems theory of technology which takes seriously its irreducibility to human functions.

The paper contributes to the growing sociological literature that thematizes the Luhmannian approach to technology, helping us better understand this phenomenon and think in new ways about what technological autonomy means.

The paper brings together the work of Luhmann, Ellul and contemporary researchers to advance a new understanding of technology and technological communication.

The study aims to examine the factors that determine the success of graduates in the labour market. This success is measured in several ways, namely, above-average wages in the economy, employment in accordance with the field of study and job satisfaction. The research explores the employment outcomes of graduates from Jagiellonian University, which is the oldest and one of the best in Poland. Not only does the analysis focus on degree-related predictors such as discipline or faculty, but it is also extended to include activities undertaken during studies and family background.

The analysis is based on data collected in the graduates' career survey, which is conducted six months after graduation. For this article, a database of over 6,000 graduates from four subsequent editions of the survey was compiled. In order to identify the predictors of graduates' success, a logistic regression model was applied.

The study reveals that graduates' success in the labour market is influenced not only by their discipline, but also by the activities undertaken during their studies, the type of studies and demographic features. Studies in natural sciences give chance for higher earnings, job matching and satisfaction. The humanities and social sciences increase only graduates’ group satisfaction. The impact of activities during studies is diversified – those matched to studies increase the job matching and those unmatched lower the earnings, job matching and satisfaction. Parents' level of education resulted in salary increase. The results also confirm the premises of behavioural theory.

Firstly, the main research limitation is that data of one particular university's graduates are used, so the results should be interpreted in the context of Poland only. Secondly, the authors propose a precise concept of success; however, it could be refined in any future study. This limitation could be mitigated by the flexibility of the model, which guarantees that other predictors of success could be involved. Furthermore, the article was based on data collected before the COVID-19 pandemic, when the labour market was completely different, so it also could be revised now.

The results of the analysis can be used when preparing the University’s educational offer. Since various predictors are implemented in the model, the information could be useful not only for future students, but also for current students, so they can make a more data-driven decision about their future careers. Additionally, University careers’ advisors are provided with knowledge on the determinants of graduates' success. Taking a broader view, the research findings are also informative for labour market institutions.

The paper offers an advanced analysis in a field that is under-researched in many transition countries, including Poland, i.e. graduates' entry into the workplace. Although the study provides insight into the factors that determine the labour market success of one particular university's graduates, this modelling can be applied to the empirical data of another higher education institution’s (HEI's) graduates.