This paper tests a new predictive model of IT acceptance in conditions where use is characteristically sporadic. The model utilizes cognitive constructs ...

This article studies prediction of continued IT use in conditions where individuals use the technology sporadically.

This article studies prediction of continued IT use in conditions where individuals use the technology sporadically. Our study augments the unified theory ...

This study extends the post-acceptance model of information systems (IS) continuance, which is widely used to explain users' satisfaction and IS continuance ...

The indirect relationship between continued use and habit through continuance intention reinforces the fi ndings of Wilson et al. (2010) and Barnes (2011). It ...

Abstract. Conformal prediction uses past experience to determine precise levels of confidence in new pre- dictions. Given an error probability ε, ...

In practical applications, of course,. (k - 1)-dependence may be violated for a variety of reasons. Nevertheless, it seems reasonable to take (k - 1)-dependence.

The objective of this study is to provide insights into how the predictive power for computer-recorded system usage can be improved.

There are various types of prediction, control, replication, and understanding, each playing an important role in science and its technology.

This paper proposes probabilistic conformal pre- diction (PCP), a predictive inference algorithm that estimates a target variable by a discontinuous.