This study addresses the antecedents of individuals' disposition to use telemedicine applications, as well as the antecedents of their usage to provide insight into creating sustained usage over time. The theoretical framework of this research is Bhattacherjee's expectation-confirmation IS continuance model. By combining a series of key factors which may influence the initial and continued usage of telemedicine applications with key constructs of Bhattacherjee's IS continuance model, this study aims to provide a deeper understanding of barriers to telemedicine app usage and how to facilitate continued use of these apps. Online survey data was collected from college students who are telemedicine application users. A total of 313 responses were gathered, and data analysis was conducted using SmartPLS 3. This dissertation contributes by looking at the IS adoption and IS continuance research simultaneously to connect these two research streams as well as suggesting the usage context of some established IS theory being different with regard to healthcare applications.

In educational institutions, the use of technology has been used to compliment face to face learning or used alone to deliver the educational needs and learning process for distance education. Where used alone, it is said to be online learning and where it has complimented traditional learning it can be said to be hybrid or blended learning. Before the pandemic, the question of choice or the voluntary use of these technology was there, and the student determined what was best suited for their educational and learning needs. This study looks at the how the students related with technology during the pandemic. It looks at constructs like performance expectancy, fit for use, effort expectancy, fit for task and ends with investigating the student’s perception on intention for future use. Using a mixed approach, the perception of students was sampled. First by using a quantitative method, hinged on the novelty of the disruption to reveal areas that could be of potential interest and then a qualitative method followed. The purpose of using a mixed method approach was for completeness and complimentary reasons. The results of the qualitative data and quantitative data were bridged to form meta-inferences, and these were used to answer the research questions and discuss the findings. The study revealed that technology was easy to use without little or no technical issues, it was fit for the task at hand, it aided the students to achieve their academic goals and needs, but intention to retain the use of technology for future academic activities was not welcomed. This was due to social factors like lack of motivation, feeling of isolation, lack of social interaction been missing but available in traditional classes. these are critical factors that affect the retention of technology for future use. In the presence of choice, they would rather go back to the traditional mode. They integration of technology with traditional mode of learning, i.e., blended mode of learning was highly welcomed.

Knowledge has long been recognized as one of the most valuable assets in an organization. Managing and organizing knowledge has become an important corporate strategy for organizations to gain and maintain competitive advantages in the information age. Electronic knowledge repositories (EKRs) have become increasingly popular knowledge sharing tools implemented by organizations to promote knowledge reuse. The goal of this study is to develop and test a research model that explains users' continued usage behavior of EKRs in public accounting firms. Theoretically grounded in the expectation-confirmation model (ECM) and commitment-based model, the research model presented in this study integrates both of these theoretical perspectives to study users' EKR continuance intentions. This study surveyed 230 EKR users from four large public accounting firms. Partial least squares regression was used to test the hypotheses and the explanatory power of the model. Results indicate that perceived usefulness and commitment exhibit a sustained positive influence on continuance intention. Additionally, subjective norms are positively related to calculative commitment and moral commitment. Organizational identification is positively related to affective commitment and moral commitment. Perceived usefulness is positively related to affective commitment and calculative commitment. The model comparisons with the technology acceptance model (TAM) and ECM demonstrated that the integrated model presented in this research explained 1.6% and 0.8% additional variance in continuance intention than both ECM and TAM respectively. Additional multi-group analyses were also conducted to examine the differences between knowledge seekers and contributors and the differences between knowledge novices and experts. This study raises theoretical implications in the area of knowledge management in general and EKRs in particular. It represents one of the first attempts to empirically examine users' continuance intention of knowledge management applications. This study has presented a different perspective on technology acceptance/continued usage by introducing commitment to explain continued IS usage. By integrating commitment and ECM, this study offers a useful framework for future studies on technology use. It demonstrates that both user commitment and perceived usefulness are strong predictors of EKR continuance intention. The results also raise interesting implications for practitioners interested in knowledge management and particularly for public accounting firms how to leverage EKRs to gain a competitive advantage. / Ph. D.