Knowledge has been considered a critical factor for any organization's survival however its retention and utilization has remained a challenge to many organizations in developing countries education institutions inclusive. These challenges are mostly attributed to the fact that knowledgeable employees often leave organizations before they could share their valuable knowledge and expertise. In schools of developing countries in particular, educators struggle for subsistence and many leave to seek for greener pastures. Such exodus of educators has led to knowledge loss and has widened the knowledge gap between the schools for the rich and those for the poor. This has been worse especially in the most challenging subjects like Science and Mathematics. Closing this gap, schools need to depend on the knowledge of other experienced educators that are still in the Education system in order to enhance the capabilities of those that are inexperienced. For this reason, leveraging Information Technology (IT) to facilitate the sharing of knowledge, communicate ideas, exchange views and information between educators is paramount. There is a need for schools in developing countries’ to have guidelines of how IT could be utilized for knowledge sharing. The major objective of this paper is therefore to report on the utilization of IT to enhance Knowledge Sharing (KS) among educators in developing countries taking a case of South Africa. The Social Exchange Theory (SET), Theory of Reasoned Action (TRA) and The Unified Theory of Acceptance and Use of Technology (UTAUT) were used to design a conceptual framework for the study. Data was collected from secondary schools’ educators in Tshwane South district of South Africa and was analyzed quantitatively. The results indicated that, knower's attitude is a high significant contributing factor whereas dependence of the knower is the least and insignificant in the utilization of IT to enhance knowledge sharing. Practically, this study could be leveraged by schools and governments to entrench tacit knowledge and to address the brain drainage associated with the continuous exodus of the skilled and experienced educators. Further still, the designed framework could be used by Information Systems scholars to extend research of knowledge sharing and management.

This study enhances the critical factors for the implementation of smart card technology (SCT) by proposing a conceptual framework based on the healthcare unified theory of acceptance of user technology model (2008), the DeLone and McLean information systems success model and the diffusion of innovation theory (2003) recommending the strategies to be used. The framework was tested using regression analysis on the collected data from 406 self-administered questionnaires from Steve Biko Academic Hospital, Tshwane District Hospital, Kalafong Hospital and Pretoria West Hospital. The structural equation modelling and principal component analysis methods in Statistical Package for Social Sciences were used to analyse the data. The findings of this study show that seven factors – behavioural intention, system use, information quality, service quality, communication, compatibility and trialability – were significantly accepted to ensure the adoption of SCT in public healthcare.Transdisciplinary contribution: The healthcare sector has not fully addressed the technology use for healthcare professionals. However, the sector exploited much for the patients’ needs to improve quality of healthcare. Therefore, this study recommends that this framework will contribute towards the implementation smart card technology within the public healthcare. The study will contribute to the implementation of SCT and ensure the quality of service delivery in public healthcare.

Background: Even though the government has set several admirable targets for raising the standard of healthcare, as highlighted by communities and media reports, public health institutions’ services continue to fall short of patients’ expectations and basic standards of care. For this reason, the general public has lost faith in the healthcare system. The public healthcare system in South Africa is completely dysfunctional and urgently needs to be transformed to serve the majority of those who use public hospitals.Objectives: The study aimed to improve healthcare for the majority of South Africans by investigating the critical success factors (CSFs) that influence the adoption of smart card technology (SCT) in South African public hospitals.Methods: A thorough review of peer-reviewed literature was conducted to determine potential barriers to adopting SCT. Furthermore, a hybrid model that combines the Health Unified Technology of Acceptance Theory (HUTAUT) model, DeLone and McLean IS success model (DM) and the diffusion of innovation (DOI) theory will be developed, validated and tested to identify the CSFs adoption of SCT in public hospitals in South Africa.Results: The validated research model has been developed to be adopted by nurses at public hospitals.Conclusion: This research will contribute to the development of a new framework that identifies the CSFs for SCT adoption in South African public hospitals.Contribution: The study’s results will make a special contribution to the body of knowledge in the fields of health informatics, particularly e-health.

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UNSTRUCTURED The Covid-19 pandemic led to serious challenges; and emphasized the importance of using technology for healthcare operational transformation. Consequently, this has increased the need for technological innovations, thus empowering patients with chronic conditions to tighten up on their adherence to medical prescriptions. The objective of this study was to develop a model for an mHealth self-monitoring system for diabetic patients in rural communities of developing countries. Quantitative data was collected from healthcare providers and used to validate the designed self-monitoring model. Results indicated that environmental factors significantly influence all the independent constructs which inform patients’ change of behaviour towards the use of mHealth self-monitoring for medicine adherence. Technology characteristics such as effort expectancy, self-efficacy, and performance expectancy are equally significant. On the other hand, the contribution of culture and social aspects was found insignificant. The developed model is to be used to extend research into self-monitoring of patients with chronic conditions. More so, the model will be used as a basic architecture for implementation of fully-fledged systems for diabetic patients’ self-monitoring.