The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses

The influence of accounting information system adoption on business performance amid COVID-19

The previous decade witnessed the dynamic progress that information systems (ISs) brought about in business performances. In this regard, an effective and efficient organization reflects heightened performance through the use of financial systems like the Accounting Information System (AIS) as the system automates the processes and improves efficiencies. In the current times, AIS has been the reason behind the optimum performance of businesses, with past studies evidencing its successful role dependent on critical success factors. Hence, the primary aim of this study is to evaluate AIS through the use of De Lone and Mc Lean's information sys-tem model (DM ISM) among Sudanese banks. The system focuses on critical factors including information quality, system quality, service quality, system usage and user satisfaction and their effects on the performance of banks in Sudan. Accordingly, this study made use of self-administered survey questionnaire to collect data from 103 AIS user, after which PLS-SEM was employed for data validation. The findings supported the significant effects of system and information quality on system usage but not services quality. Also, AIS use was found to significantly affect the performance of business. The study contributed to literature concerning IS in light of AIS benefits determinants, and it validated the proposed model among firms in Sudan. In effect, the study has both theoretical and practical significance, and it provided limitations, implications and future studies recommendations.

The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability

Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals' intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling-partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.

Promoting Healthcare Workers' Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human-Computer Trust

Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical scenarios and augment work efficiency and accuracy. However, factors influencing healthcare workers' adoption intention of AI-assisted diagnosis and treatment are not well-understood. This study conducted a cross-sectional study of 343 dental healthcare workers from tertiary hospitals and secondary hospitals in Anhui Province. The obtained data were analyzed using structural equation modeling. The results showed that performance expectancy and effort expectancy were both positively related to healthcare workers' adoption intention of AI-assisted diagnosis and treatment. Social influence and human-computer trust, respectively, mediated the relationship between expectancy (performance expectancy and effort expectancy) and healthcare workers' adoption intention of AI-assisted diagnosis and treatment. Furthermore, social influence and human-computer trust played a chain mediation role between expectancy and healthcare workers' adoption intention of AI-assisted diagnosis and treatment. Our study provided novel insights into the path mechanism of healthcare workers' adoption intention of AI-assisted diagnosis and treatment.