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Electronic-commerce has become an important channel for conducting business. Researchers as well as market executives are trying to better understand online consumer behavior. One model used by researchers to understand behavior in the information systems field in general is the technology acceptance model (TAM). The TAM variables are perceived usefulness, perceived ease of use, and intentions. In this study, we suggest the extension of the TAM for its application in the E-commerce field. The original TAM will be extended, by adding four predictor variables. The four predictor variables are process satisfaction, outcome satisfaction, expectations, and E-commerce use. In addition, the TAM will be extended by measuring actual behavior as opposed to measuring intentions as a substitute for actual behavior in previous TAM application studies. We suggest measuring actual use variable in terms of four criterion variables, namely, purchase, access number, access total time, and access average time. The extended TAM is expected to better explain actual behavior in E-commerce environments than the original TAM.

This study investigated the fit between contingency variables (e.g. task uncertainty and decentralization) in accounting information systems (AIS); a good fit is assumed to improve user satisfaction. We divided task uncertainty into two dimensions: variability and analyzability. We chose information scope, timeliness, and aggregation as the AIS characteristics to be studied within each dimension. User satisfaction was adopted as a surrogate to measure the performance of AIS. The responses of 126 managers were drawn from a cross-industry sample in Taiwan. Multiple regression models were employed to test the hypotheses. The results of the empirical test led us to two results: (1) broad-scope information (external environment or future-oriented information) promotes user satisfaction in high task variability situations, and (2) in a highly decentralized organization, broad-scope, timely, and aggregated information will also facilitate user satisfaction.

The objective of this research was to investigate the moderating effect of information technology (1T) infrastructure on the relationship between health care information management and quality performance within health care departments. The variables that were measured included both management and customer perceptions of quality, management of health care information (MOHCI), and IT infrastructure. This research focused on the determinants of departmental quality. The study conceptualized and developed measures for quality, MOHCI, and IT infrastructure variables. A significant relationship was observed between the management of health care information and quality performance. IT infrastructure exhibited a direct, rather than a moderating, effect on quality performance. The research also found/ that significant differences exist between customer and manager perceptions of quality.

The results of a field study investigating the impact of the extent of use, staff scheduling, and the adoption of quality control mechanisms (QCM) on end-user perceptions of information technology (IT) in a health care environment are presented. A multivariate model was developed and tested using multiple regression analysis on 47 hospital information system (HIS) end-users. Three specific hypotheses are proposed and tested. Data analyses indicate that end user perceptions depend on two factors: the end-user usage of IT, and the adoption of formal quality control mechanisms. Based on the research results, several suggestions are made to improve the likelihood of successful IT implementation in the health care industry.

Executive information systems represent a significant departure from traditional computer-based information systems. Advocates of executive systems claim that their systems offer the leading-edge option for making computers truly effective for supporting key management functions. This paper examines the interaction between key characteristics of executive systems and fundamental features of human thinking drawn from the field of Behavioral Decision Theory. We examine the possibility that the operation of these systems may reinforce or intensify certain biases in human information processing. We present three examples of potential bias-intensification: availability, regression effects, and overconfidence. Next, the paper applies the concept of decisional guidance to develop design implications for executive systems. Lastly, the paper offers avenues for theoretical development and empirical research.