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- The extended information systems success measurement model : e-learning perspectivePublication . Lolić, Teodora; Stefanovic, Darko; Lalic, Danijela Ciric; Dionísio, Rogério Pais; Oliveira, Ângela; Pržulj, ĐorđeThis study investigated the crucial factors for measuring the success of the information system used in the e-learning process, considering the transformations in the work environment. This study was motivated by the changes caused by COVID-19 witnessed after the shift to fully online learning environments supported by e-learning systems, i.e., learning emphasized with information systems. Empirical research was conducted on a sample comprising teaching staff from two European universities: the University of Novi Sad, Faculty of Technical Sciences in Serbia and the Polytechnic Institute of Castelo Branco in Portugal. By synthesizing knowledge from review of the prior literature, supported by the findings of this study, the authors propose an Extended Information System Success Measurement Model—EISSMM. EISSMM underlines the importance of workforce agility, which includes the factors of proactivity, adaptability, and resistance to change, in the information system performance measurement model. The results of our research provide more extensive evidence and findings for scholars and practitioners that could support measuring information system success primarily in e-learning and other various contextual settings, highlighting the importance of people’s responses to work environment changes.
- Assessing engineering students’ acceptance of an e-learning system: a longitudinal studyPublication . Lolić, Teodora; Stefanovic, Darko; Dionísio, Rogério Pais; Marjanovic, Ugljesa; Havzi, SaraAlthough previous research on the e-learning system acceptance has been conducted using UTAUT, no study followed the longitudinal approach. Accordingly, this research examines the engineering students' (N = 291) elearning system acceptance by three years of study. The structural equation modelling analysis confirmed UTAUTrelationships in each year. Effort expectancy and social influence resulted as significant predictors of behavioural intention in all three years. In contrast, performance expectancy influence got lower in later usage. Altogether, our longitudinal study presented that the UTAUT model has weakened over time. Therefore, we propose extending the UTAUT model in future research to better understand user satisfaction and positively contribute to system acceptance. Our research findings can be used for university leaders to investigate and evaluate any implemented information system acceptance through the years.