Elzbieta Kowalczyk, Dagmara Lewicka, Pawel Zajac
In this study, the authors focus on two issues: the influence of technology trust and distrust on career readiness and the identification of these trust and distrust factors determined by the respondent’s gender. To achieve this goal, the authors collected data using the survey method. The study was conducted among 871 Polish university students aged 18 to 25. Structural equation modeling was used to show potential causal dependencies between variables. The study provides valuable insight into…
Rizwan Raheem Ahmed, Dalia Streimikiene, Justas Streimikis, Indre Siksnelyte-Butkiene
The researchers use the SEM-based multivariate approach to analyze the data in different fields, including management sciences and economics. Partial least square structural equation modeling (PLS-SEM) and covariance-based structural equation modeling (CB-SEM) are powerful data analysis techniques. This paper aims to compare both models, their efficiencies and deficiencies, methodologies, procedures, and how to employ the models. The outcomes of this paper exhibited that the PLS-SEM is a…
Liviu Toader, Dorel Paraschiv, Vasile Dinu, Daniela Manea, Mihaela Mihai
As European economies rely more and more on know-how and technology, the importance of investment in research and development, especially from the private sector, is increasing. Private investment in research and development leads to innovation and the creation of know-how and technologies that can increase productivity, competitiveness and contribute to economic growth. Private investment in research and development is particularly important in dynamic sectors with high added value, such as…