Healthcare System-Use Behavior: A Systematic Review of ITs Determinants

To understand patient and physician behavior, researchers have investigated the determinants of using healthcare information systems. Although this stream of research has produced important findings, it has yet to appreciably advance our understanding of system-use behavior in healthcare. To fill this gap, the current paper employs a systematic review to synthesize past research, reveal the key determinants of healthcare system usage, and illuminate a deeper understanding of the topic. This study thus helps healthcare researchers expand their baseline knowledge of these core determinants and conduct more fruitful future research on system-use behavior in healthcare

Effects of Extrinsic and Intrinsic Motivators on Using Utilitarian, Hedonic, and Dual-Purposed Information Systems: A Meta-Analysis

While many studies have found that perceived usefulness—an extrinsic motivator—is the strongest determinant of using utilitarian systems, others have found that it is less important than perceived enjoyment—an intrinsic motivator—in predicting hedonic system usage. In light of these interesting but mixed findings, our research applies the motivation theory to investigate the effects of extrinsic and intrinsic motivators on system-use behavior in utilitarian, hedonic, and dual-purposed contexts. We then construct associated hypotheses and empirically test them by analyzing data collected from the literature. The results generally confirm our prediction that, in the context of utilitarian systems, extrinsic motivators are more important than intrinsic motivators, whereas, in the context of hedonic systems, intrinsic motivators play a more critical role than extrinsic motivators. The results thus substantiate our contention that, when information systems vary from utilitarian to hedonic, the most important determinants shift from extrinsic to intrinsic motivators. This paper contributes not only to a new application of the motivation theory to IT adoption, but also to an integrated and in-depth analysis of motivators, which may reorient IS scholars toward potentially more fruitful avenues for studying user behavior

A New Theory of Technology Usage

Benbasat and Barki (2007) suggest that the traditional perception-intention-usage framework has fulfilled its original purpose and has demonstrated its deficiencies in a number of important respects. Thus, they call for researchers to step outside its limited confines and move toward a new theory that takes into account the constantly changing context of IT. Answering the call, this paper presents a preliminary effort to develop the theory of technology usage (TTU), review its research base, and discuss how it can be applied to different contexts of IT. The current paper also emphasizes that IT should be categorized into productivity-oriented, pleasure-oriented, and dual-purposed, as it evolves from a single-user system in an organizational context to a multi-user system in a social and leisure setting. Moreover, a two-step procedure is devised for such trichotomization. The TTU incorporates the core concepts of the needs-based perspective on behaviors, and maps these concepts in a way that permits prediction and understanding of usage of these three IT categories. The paper is concluded with discussions of implications and directions for future research

Antecedents and Outcomes of the Flow Experience: An Empirical Study in the Context of Online Gaming

This study uses flow theory and the technology acceptance model (TAM) to provide new insight into the impact of enjoyment, one important dimension of flow, on user satisfaction, user beliefs, and behavioral intention to use. In addition, based on the propositions that knowledge results in an increased ability for activity and that flow is an emotional state of activity, this paper adopts a process view of knowledge to examine the role of knowledge in predicting enjoyment. The foregoing concepts are represented in a nomological network of enjoyment. Associated hypotheses are tested by using questionnaire responses of 253 online game players

Building Up Knowledge through Meta-analysis: A Review and Reinterpretation

In the last two decades, researchers have increasingly conducted meta-analyses in the information systems (IS) field. As such, we need to ensure that researchers conduct such analyses in a sound and accurate way, use appropriate and effective meta-analytic techniques, and produce reliable and valid results. Nevertheless, few papers on conducting a meta-analysis in the IS field exist. In this paper, we review and re-interpret the procedures, issues, and techniques in conducting a meta-analysis in the IS field. By doing so, we make important contributions to helping IS researchers expand their baseline knowledge of meta-analyses and, thus, more effectively design and conduct them in the future

The superconvergence of the composite midpoint rule for the finite-part integral

AbstractThe composite midpoint rule is probably the simplest one among the Newton–Cotes rules for Riemann integral. However, this rule is divergent in general for Hadamard finite-part integral. In this paper, we turn this rule to a useful one and, apply it to evaluate Hadamard finite-part integral as well as to solve the relevant integral equation. The key point is based on the investigation of its pointwise superconvergence phenomenon, i.e., when the singular point coincides with some a priori known point, the convergence rate of the midpoint rule is higher than what is globally possible. We show that the superconvergence rate of the composite midpoint rule occurs at the midpoint of each subinterval and obtain the corresponding superconvergence error estimate. By applying the midpoint rule to approximate the finite-part integral and by choosing the superconvergence points as the collocation points, we obtain a collocation scheme for solving the finite-part integral equation. More interesting is that the inverse of the coefficient matrix of the resulting linear system has an explicit expression, by which an optimal error estimate is established. Some numerical examples are provided to validate the theoretical analysis