Background: With the development of information technology (IT) and medical technology, medical information has been developed from traditional paper-based records into up-to-date medical information exchange system called personal health record (PHR). Empowering PHR provides health awareness and intention for health promotion.Objective: The purpose of this study was to present a research framework to examine individuals’ intention to PHR use.Methods: This cross-sectional study used the questionnaire to collect data from the individual in Taiwan. Individual’s intention to use PHR has been examined by a framework based on extended technology acceptance model (TAM), with gender and health-care technology self-efficacy (HTSE) as external variables. Additionally, gender differences were explored in perceptions and relationships among factors influencing an individual’s intention to PHR use. The research framework was evaluated by structural equation modeling (SEM) and represented by Analysis of a Moment Structures (AMOS).Results: A total of 234 valid responses were used for analysis. The results suggest that the extended TAM model explains 40.6% of the variance of intention to PHR use (R2 = 0.406). The findings also supported that perceived usefulness, perceived ease of use, and attitude toward using PHR significantly influenced individual’s intention to PHR use. Additionally, results also indicated that women were more strongly influenced by perceptions of HTSE.Conclusions: The extended TAM model contributes reasonable explanation for interprets and anticipates of individuals’ intention to use and adopt PHR. Moreover, the results have provided support for HTSE and gender as significant variables in TAM. However, the study identified three relevant factors directly and one factor indirectly influencing on individuals’ intention to PHR use. Thus, health care providers and hospital authorities must take these factors and gender difference into consideration in the development and validation of the theories regarding the acceptance of PHR. Based on the findings, the theoretical and practical implications are discussed.

Background: The electronic medical record (EMR) is considered to be a vital tool of information and communication technology (ICT) to improve the quality of medical care, but the limited adoption of EMR by physicians results in a considerable warning to its successful implementation. The purpose of the present review is to explore and identify the potential barriers perceived by physicians in the adoption of EMR. Methods: The systematic review was carried out based on literature published in 5 databases: PubMed, Web of Science, Scopus, The Cochrane Library, and ProQuest from 2014 to 2018, concerning barriers perceived by physicians to the adoption of EMR. Results: The present study incorporates 26 articles based on their appropriateness out of 1354 for the final analysis. Authors explore 25 barriers that appeared 112 times in the literature for the present review; the top 5 frequently mentioned barriers are privacy and security concerns, high start-up cost, workflow changes, system complexity, lack of reliability, and interoperability. Conclusion: The systematic review explores that physicians deal with different barriers as they intend to adopt EMR. The barriers explored in the present review are the potential to play as references for the implementer of the EMR system. Thus an attentive analysis of the definitive condition is needed before relevant intervention is determined as the implementation of EMR must be considered as a behavioral change in medical practice.

The COVID-19 pandemic affected educational institutions in an unrivaled way around the globe and forced them to switch from conventional classroom learning mode to e-learning mode within a short time period. Neither instructors nor students had ample time to prepare. The purpose of the current study is to accomplish two objectives: to explore the functional relationship between attitudinal readiness (ATR), subjective well-being (SWB), and cloud-based e-learning adoption intention in Taiwan and examine the constancy of recommended proposed relationships among different students’ groups. The model was then empirically tested using data of 256 university students by structural equation modeling. The current study demonstrates that ATR is completely explained through four dimensions: peer reference, perceived ease of use, perceived usefulness, and perceived ubiquity. SWB is positively interpreted through four dimensions: online course quality, system quality, perceived service quality, and perceived closeness. Self-efficacy has a significant relationship with both attitudinal readiness and adoption intention of a cloud-based e-learning system. Finally, the invariance test explores substantial variance among students who intend to use the system and students who reject it. Therefore, researchers and practitioners regarding educational, technological innovation must consider this empirical evidence to develop and validate a sustainable cloud-based e-learning program in higher education.

The use of health information technology (HIT) is expected to deliver benefits for patients, nurses, physicians, and organizations, but the benefits of HIT can only be attained if nurses accept and intend to use it as they are the leading user-group. The use of the tablet is becoming commonplace in healthcare organizations to improve patient care. The current study incorporates Technology Acceptance Model2 (TAM2) with two antecedents, facilitating condition and personal, to identify and understand the factors that influence nurses’ intention to use the Tablet PC. The survey methodology was used to collect data from the nurses working in a regional healthcare center in Taiwan. The structural equation modeling (SEM) technique was employed to analyze the research framework. A total of 110 valid responses for analysis. The results suggest that the modified proposed research framework explains about 41.7% of the variance of nurses’ behavioral intention. The partial least squares (PLS) regression indicated that perceived usefulness, subjective norm, and personal a positive and significant influence on nurses’ intention to use the Tablet PC. But concerning the perceived ease of use, the insignificant path coefficient was reported. The finding also indicated that personal on the research model is much stronger than the subjective norm on Tablet PC performance. The proposed research framework contributes to the conclusive explanation for understanding nurses’ intention to use. The current study brings perspectives from the technological and attitudinal differences that have largely been missing in the existing literature of the nurses’ intention to use HIT. Thus, health care providers must take these factors into consideration as the findings of the current study advance theory and contribute to the basis for future study intended for enhancing our understanding of nurses’ adoption behavior regarding HIT.

The purpose of the current study is to explore barriers influencing consumers’ intention to adopt sustainable electric vehicles (EV) based on the modified theory of planned behavior (TPB) model. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were employed to analyze the research model, using 262 valid responses. The findings of the current study explored how attitude (ATT), subjective norm (SN), and perceived behavioral control (PBC) significantly influenced users’ sustainable consumption intentions. The finding also explored ways in which environmental concern significantly influenced ATT, SN, PBC, and sustainable consumption intention of the users. Not only measurements of vehicle performance, namely safety, reliability, and range, but other factors, such as purchasing price, charging facility, and maintenance and battery cost also influenced consumers’ sustainable consumption intentions. The predictive power of the proposed model (R2 = 63.5) was better than the original TPB (R2 = 53.6). Results also indicated that Taiwanese are primarily concerned about the greenhouse effects on the environment, which reflected their sustainable consumption intentions. The conclusions of the current study could assist government and policymakers in designing sustainable programs, which could improve consumers’ sustainable consumption intentions to prevent further air pollution and reduce CO2 emissions from the transportation sector.