During Covid-19 pandemic many employees found themselves in the new position of teleworkers. Proof of the last years, teleworking remains an alternative to the classic system, reason why in this paper we aim to examine, based on an online questionnaire, the perceptions of Romanian employees about the very complex aspects that teleworking involves: the new ICT tools and technologies adoption, impact on work efficiency, work-family balance, and employees physical and mental health. The paper is based on an empirical analysis of data, and the authors have used as research methods: testing the independence of groups (Mann-Whitney U and Kruskal Wallis) and the correlation between variables, categorical principal components analysis (CATPCA) and logistic regression model. Our findings show that several factors, such as flexible working hours, family time, and autonomy have a positive influence on the decision to telework, while IT security risks, interruptions and virtual meetings were not perceived by respondents as negatively influencing their decision to telework. However, the consequences for mental health, such as mental stress, lack of socialisation and the difficulty of separating working time from family time, lead respondents to prefer another working system. The implications of the research are relevant for policy makers, employers, and employees as they reveal which categories of employees are more likely to telework and why.
This study aims to investigate the influence of emerging digital technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and cloud computing, on the digital intensity index (DII). The research method employed involves quantitative analysis of the indicators regarding DII and emerging digital technologies, conducted based on data published by Eurostat for EU members in 2021. During our research, we formulated and tested hypotheses about the relationship between the DII and emerging digital technologies, and the effect on the DII of using AI-based technologies in various economic processes. The formulated hypotheses were validated via four regression models designed during this study, using the most relevant factors. Our research results demonstrate that the DII is positively influenced by emerging IoT and cloud computing digital technologies, as well as the use of AI technologies based on machine learning and AI-based robotic process automation (RPA) software. Furthermore, the same positive influence was identified in human resource management and recruitment processes compared to the intensity with which these technologies are used in other economic processes. Based on these findings, this study offers persuasive arguments for implementing emerging digital technologies at the EU organizational level to achieve significant increases in digitalization levels.
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