Impact of man-machine interaction factors on enterprise resource planning (ERP)

TL;DR: A theoretical model and multiitem scales for the proposed EISUI characteristics are developed and tested empirically with data from a survey performed with a sample 98 EIS end users, providing evidence for the key role that EIS UI design plays in the end user’s performance and effort expectancy.

TL;DR: Findings show the importance of empirical user studies in this field and provide several practical implication that user-centered design processes can substantially contribute to a successful implementation of complex information systems, such as ERP systems.

TL;DR: A taxonomy for the characteristics of technology adoption process through a human computer interaction focus is generated and can be adopted into any case providing insight into the development of a computer-human interface.

TL;DR: This research will evaluate determinants of health information service adoption among users and analyze relationship of these determinants with the behavior of the user and develop taxonomy about factors that affect technology usage in medical industry.

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.

TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.

TL;DR: This research highlights the importance of the fit between technologies and users' tasks in achieving individual performance impacts from information technology and suggests that task-technology fit when decomposed into its more detailed components, could be the basis for a strong diagnostic tool to evaluate whether information systems and services in a given organization are meeting user needs.