This paper examines post-adoption behavior (continued adoption versus discontinuance) within the context of online service use. Innovation diffusion theory is used as a theoretical framework to extend information technology adoption research to the case of post-adoption behavior. This theory is used to formulate 11 research hypotheses distinguishing discontinuers from continuing adopters and ex...

Along with the unstable national and global economic conditions, investors consumers defend themselves to invest in property sector. Companies go public obtaining capital markets as a means obtain sources of funds. Investors creditors will see financial condition required before company increase distress (financial distress) or not investing their capital. Therefore, analysis prediction company...

Video-based human recognition at a distance remains a challenging problem for the fusion of multimodal biometrics. As compared to the approach based on match score level fusion, in this paper, we present a new approach that utilizes and integrates information from side face and gait at the feature level. The features of face and gait are obtained separately using principal component analysis (P...

Data mining is widely used in today’s dynamic business environment as a manager’s decision making tool, however, not many applications have been used in accounting areas where accountants deal with large amounts of operational as well as financial data. The purpose of this research is to propose a multiple criteria linear programming (MCLP) approach to data mining for bankruptcy prediction. A m...

This project reviews some of the pattern classification algorithms used for face recognition viz., Principal Component Analysis, Linear Discriminant Analysis, Linear Discriminant Analysis of Principal components, Multiple Exemplar Discriminant Analysis and Bayesian Maximum Likelihood based similarity matching technique. These algorithms were implemented and tested on a ’POSE’ database. The perf...

Human action recognition is a challenging task due to significant intra-class variations, occlusion, and background clutter. Most of the existing work use the action models based on statistic learning algorithms for classification. To achieve good performance on recognition, a large amount of the labeled samples are therefore required to train the sophisticated action models. However, collectin...

Path analyses of two multitrait-multimethod matrices are used as examples of the kind of information afforded by application of the technique. Discussed are tests of various possible models of the matrix, the reproduction of several correlations, and various reduced models. It is concluded that the technique should be of considerable aid to researchers who want to evaluate the convergent and di...