# The Extended Information Systems Success Measurement Model: e-Learning Perspective
## 7 Conclusions  
As we witness the change imposed by the pandemic in 2020, the usual teaching process has been entirely transferred to the digital environment. This change affected not only the teaching process but also all other processes regularly carried out on the physical premises of institutions. Changes in the working environment nowadays occur briefly and are often caused by introducing new, upgrading, or replacing existing ISs. Therefore, from the aspect of IS success and acceptance, it is essential to see how users react to these changes. Thus, the authors of this article expand the existing theory on the UTAUT model [2] with the construct of workforce agility [106; 120]. As other IS success measurement models are based on examining the technical components of the system [1; 16] and considering that the human factor has a decisive influence on the acceptance of technology, the authors decided to apply the UTAUT model. Namely, UTAUT starts from the assumption that the user's expectations about how they will use the system, whether they will have all the necessary instructions, and the perception of IS usefulness are critical in measuring the success and acceptance of the technology [11]. Additionally, the factor of workforce agility, through proactivity, adaptability, and resilience, illustrates the behavior of users in the work environment when a change occurs. These factors, together, form the Extended Information Systems Success Measurement Model. The EISSMM was conceived assuming it is independent of the context in which ISs are used. The EISSMM model was empirically tested and confirmed at two universities, examining the success of the IS used in the teaching process to substantiate the proposed theoretical model rather than comparing the results from these two institutions. Based on the hypothesized relations in the model (Figures 2 and 3), the stakeholders in the teaching process can identify the critical factors that contribute to the IS's success. Likewise, they can foresee potential problems and shortcomings arising from applying the IS in the teaching process and, guided by this, approach the necessary improvement measures. Additionally, the EISSMM model can be used as an instrument for comparative analysis of the previous and current state using the IS. In addition, the model can be applied for comparative analysis in one institution and for comparison with other institutions that use such an IS. Having said that, our future research would be utilizing the model in some of the suggested settings. Challenged by the COVID-19 pandemic, many organizations were forced to change their strategies and orient their business toward the virtual. In this regard, the EISSMM can identify whether this transition was successful by implementing IS to support the work environment. In such a situation, the model gains even more importance because it assesses workforce agility, evidenced to be significant when such unforeseen circumstances occur. Changes caused by sudden and unpredictable conditions also affect transitionsin various institutions that provide specific services. For example, standard business processes were implemented through electronic services after transitioning from a physical work environment to a digital one. The IS success that provides these e-services can be measured by applying the EISSMM, representing another significant practical implication of this research. This research is limited to testing the relations among six factors from the UTAUT model and three workforce agility factors. However, verifying the proposed EISSMM model is still needed to confirm certain relations. An insight into the descriptive statistics of relations between the respected factors and the demographic characteristics of the respondents, which can explain such phenomena, enabled the authors to assume reasons for not confirming them. However, more detailed research on unconfirmed relations was not additionally performed within the scope of this research.