The Integrated User Satisfaction Model: Assessing Information Quality and System Quality as Second-Order Constructs in System Administration

Abstract

Abstract:While many studies have investigated the relationship between information systems (IS) characteristics and IS use, the results have been inconsistent. We argue that this inconsistency may be due to the modeling of information and system quality and the importance of the system usage context. We extend Wixom and Todd's (2005) integrated model of IS satisfaction by proposing and modeling information and system quality as second-order constructs and by testing the model in the system administration context. Our findings provide support for modeling information and system quality as second-order constructs in the integrated model. Furthermore, our findings support using additional constructs, unique to the context studied, in the integrated model. We contribute to current literature by 1) enhancing the construct validity of information and system quality, which ultimately improves statistical conclusion validity and internal validity for studies that focus on information and system quality; and 2) testing the extended model in the system administration context. Our findings suggest that future research should measure information quality and system quality as second-order constructs and that including context-specific information and system characteristics provides researchers and practitioners with a better understanding of IS characteristics important in system administration.

Building E-Commerce Satisfaction and Boosting Sales: The Role of Social Commerce Trust and Its Antecedents

“…Therefore, we argue that customer review quality is another antecedent of social commerce trust. Our results are consistent with those of previous studies [29,101] and further our understanding of how to enhance consumers' social commerce trust and increase their e-commerce satisfaction. In addition, these results further clarify the mechanisms by which social commerce trust leads to ecommerce outcomes.…”

“…Social commerce trust thus occurs in a multi-dimensional context including people and technology dimensions. Accordingly, we model consumers' overall trust in social commerce as a second-order construct by capturing trust in different objects (e.g., trust in sites, trust in social media, trust in consumers) as first-order constructs [29]. Such studies are important to understand how different dimensions contribute to consumers' trust in e-commerce / social commerce overall.…”

“…Previous studies have proposed that information quality is an important factor in influencing individuals' satisfaction and technology adoption [29,101]. In e-commerce, information comes from e-commerce vendors and is critical because it provides value to consumers [73] and reduces the uncertainty related to the shopping process.…”

Investigating Patients’ Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study

“…A positive and highly significant path coefficient (β=.75, P <.001) supported the hypothesis that the more the patients’ initial expectations related to using a medical teleconsultation platform are confirmed, the better their perception of the quality of such a platform. The patients’ perceptions of the platform’s quality are deemed to be highly indicative of their affect level [ 50 ]. Hence, in line with expectation confirmation theory [ 18 ], we found that when confirmation of the patients’ initial expectations increases, so does their appreciation of the quality of mHealth IT and, in turn, their appreciation of their IT use experience.…”

Ibrahim’s triangle model (satisfaction – benefit – loyalty) for systems success measurement

“…Majority of the concerns outlined in relation to systems and software's includes ineffective measurements, limited theoretical grounding, reliance on financial performance, lack of data collection, and limited knowledge on prediction (MARDIANA et al, 2015;MCLEAN, 2016). While many studies have investigated the relationship between information systems (IS) characteristics and IS use, the results have been inconsistent (FORSGREN et al, 2016). This severe mixed results and lack of empirical focus on systems outlines psychological, cognitive and passionate prospects which could intervene the relationship between the instruments and predictors of success (SNEAD, MAGAL, CHRISTENSEN; NDEDE-AMADI, 2015).…”