Using an Extended Technology Acceptance Model to Uncover Variables Influencing Physicians’ Use Of EHR in Jordan: Insights from Alberta, Canada

Adoption rates for electronic health records (EHR) remain low in developing nations, even though health information technologies undoubtedly enhance the quality of service delivery and healthcare institutions’ overall efficiency. In this research, researchers employed a technology acceptance integrated model to analyze what factors are most important in encouraging physicians in Jordan to adopt EHR. This framework was created after a thorough review of the relevant literature and with input from physicians in Alberta, Canada, a province with an openly disclosed high rate of electronic health record adoption. To achieve its aim, the present study used a quantitative correlational research strategy. Data were acquired from a convenient sample size of 413 web-based survey participants recruited from the target population of physicians practicing in the public and private healthcare sectors in Jordan. The study’s hypotheses were tested with structural equation modeling. Physicians’ behavioral intentions were shown to be strongly predicted by factors including perceived usefulness, perceived ease of use, perceived ’privacy and security,’ financial incentives, and self-efficacy, which collectively accounted for 57.8% of the total variance in behavioral intention. Perceived usefulness had the highest influence on intentions, followed by self-efficacy, perceived ”privacy and security,” and perceived ease of use, with financial incentives having the smallest impact on intentions. Accordingly, healthcare practitioners must consider these variables while developing and validating interpretations about HER adoption. This study concludes with several implications for healthcare directors, policymakers, and providers of health information systems, in addition to suggestions for future research areas

Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in Jordan

Big Data Analytics (BDA) provides an important resource for businesses seeking to enhance their performance and gain a competitive advantage, although not all organizations are adopting BDA techniques, and small and medium-sized enterprises (SMEs) in Jordan have been slow in this regard, despite being key players in any healthy economy, and the fact that BDA adoption can be facilitated by using the Technology Acceptance Model (TAM). The purpose of this study is to investigate the drivers of behavioral intention among managerial-level employees in Jordanian ICT SMEs to adopt BDA through a quantitative correlational research approach. The TAM questionnaire was used to gather data from 271 online survey participants in Jordan using Google Forms. The target group included management level staff working in small and medium-sized ICT firms (SMEs). Confirmatory factor analysis (CFA) was used to evaluate the research instrument's reliability and validity, and structural equation modeling (SEM) was utilized to test the study's hypotheses. The findings revealed that perceived usefulness, perceived ease of use, and perceived “privacy and security” significantly influenced managerial-level employees' behavioral intention to use BDA in their organizations. The research findings also supported the application of TAM, and the results of the investigation indicated that managerial-level employees would be willing to use BDA techniques providing they were perceived to be useful, user-effortless, and posed little concern about privacy and security. Overall, the current study's results demonstrate that the suggested model had good predictive power, 51% of the variance in behavioral intention, and was therefore capable of predicting managers' intentions to use BDA