Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

Abstract

BackgroundNo previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study.MethodsThe convenience sampling method was applied to the information system users of three hospitals in southern Taiwan. A total of 500 copies of questionnaires were distributed, and 283 returned copies were valid, suggesting a valid response rate of 56.6%. SPSS 17.0 and AMOS 17.0 (structural equation modeling) statistical software packages were used for data analysis and processing.ResultsThe findings are as follows: System quality has a positive influence on service quality (γ11= 0.55), job satisfaction (γ21= 0.32), and system performance (γ31= 0.47). Service quality (β31= 0.38) and job satisfaction (β32= 0.46) will positively influence system performance.ConclusionsIt is thus recommended that the information office of hospitals and developers take enhancement of service quality and user satisfaction into consideration in addition to placing b on system quality and information quality when designing, developing, or purchasing an information system, in order to improve benefits and gain more achievements generated by hospital information systems.

Accounting Information Systems Effectiveness: Evidence from the Nigerian Banking Sector

“…Furthermore, previous studies (e.g., DeLone & McLean, 2016;Shagari et al 2015) suggested that a positive relationship was present between system quality and AIS. Consistent with this, empirical findings have found a positive relationship between system quality and IS effectiveness (Chang et al, 2012;Hein et al, 2014;Hyung & Jae, 2010;Quintero, Pedroche, & Ramos, 2009;Shatat et al, 2013;Xu et al, 2013). Based on previous studies, examining system quality construct in the context of Nigerian banks is important specifically where there is persistent complaints of the system failures, system instability, fraud, and security issues (Dandago & Rufai, 2014;Ekwueme et al, 2012).…”

“…This study operationalized the construct as a second-order formative construct and measure with three first-order dimensions: 1) accuracy, 2) timeliness, and 3) completeness, which are all adapted from Chang, Chen, and Lan (2012). Accuracy is concerned with the correctness of the output produced by the system.…”

“…However, an incorrect specification of measurement model can lead to biases in evaluating the structural model, and thus make interpretation of the results difficult (Petter et al, 2007). Considering the flaws of previous researchers, Wixom and Todd (2005) and Chang et al (2012) developed a multidimensional approach in which the system quality construct can be treated as a second-order formative construct.…”

“…The system construct was conceptualized as a second-order formative construct in this study and measured with three dimensions, namely, security, ease of use, and efficiency, which are all adapted from Chang et al (2012). Ease of use measures the extent to which the system user(s) perceived that system to be userfriendly.…”

“…The first measures of the dependent variable, i.e., AIS effectiveness, were taken from Shatat et al (2013) and Hien et al (2014). The measures for system quality were adapted from Chang et al (2012). Items for information quality were adapted from Saha et al (2012).…”