Popa Ion, Ștefan Simona Cătălina, Olariu Ana Alexandra, Breazu Andreea, Cioc Marian Mihai
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Predictors of Employees' Work Performance in Online and On-Site Conditions: A Combined use of PLS-SEM and NCA
. Organisations are currently facing several problems, some of which are driven by the consequences of the COVID-19 pandemic, which has changed the way employees perform their duties. Because human resources are critical to the growth of each organisation, it is important that they find the most effective strategies to improve their employees' work performance. This study aims to assess the extent to which information resources, work conditions, and employee competencies influence the work performance of their employees. Additionally, research focuses on how the relationships between these variables manifest themselves depending on whether employees performed their duties online or on-site. To collect data for this study, a survey was used, and the data was analysed using a combined PLS-SEM technique and necessary conditions analysis (NCA). The sample consisted of 347 respondents who worked online or on-site in Romanian companies. The main findings highlighted that regardless of whether employees worked online or on site, both the employees' competencies and organisational informational resources positively and significantly influenced employees' work performances, while work conditions had no significant effect. Furthermore, the findings
期刊介绍:
ECECSR is a refereed journal dedicated to publication of original articles in the fields of economic mathematical modeling, operations research, microeconomics, macroeconomics, mathematical programming, statistical analysis, game theory, artificial intelligence, and other topics from theoretical development to research on applied economic problems.
Published by the Academy of Economic Studies in Bucharest, it is the leading journal in the field of economic modeling from Romania.