The aim of this study has been to investigate the process of acceptance and use of technology by users, focusing on the role of intrinsic and extrinsic motivation in determining it. The key role of user's motivation in determining the usage behavior has been already investigated from previous research, but they have not focused on the process of microblogging acceptance. On the contrary of othe...

The focus is on robust regression methods for problems where the predictor matrix has full rank and where it is rank deficient. For the first situation, various robust regression methods have been introduced, and here an overview of the most important proposals is given. For the latter case, robust partial least squares regression is discussed. The way of downweighting outlying observations is ...

More is known about the pervasiveness of college cheating than reasons why students cheat. This article reports the results of a study that applied the theory of reasoned action and partial least squares methodology to analyze the responses of 144 students to a survey on cheating behavior. Approximately 60% of the business students and 64% of the non-business students admitted to such behavior....

Assessing the quality of a delivered system has been one of the major challenges for researchers as well as for the practitioners (organizations). There is the need of a multidimensional instrument capable of measuring the quality of an information system, that instrument would provide valid information that helps an organization to take decisions in order to improve and assure the quality of i...

Semantic Indexing based on Partial Least Squares (SIPLS) is an effective feature extraction method for text classification. SIPLS integrates the global category information Y with the document-class matrix X to create the latent semantic spaces. However, the global latent space may not be the optimal one for each class. To solve this problem, the Local SIPLS (LSIPLS) method is proposed which cr...

We apply computer vision methods to the task of automatically predicting human attractiveness from frontal face images. A dataset of thousands of images and corresponding scores was obtained from a popular website that asks viewers to rate the attractiveness of the people appearing in the images. We applied several kernel regression techniques to the problem and found that while all techniques ...

This research-in-progress paper proposes the use of a statistical approach named Partial Least squares (PLS) to define the relationships between Critical Success Factors (CSFs) for ERP implementation projects. Some researchers have noted that there are relationships between these CSFs. However, no one has yet tried to define in a formal way these relationships. In this paper we present an overv...

(1) Museo Nacional de Ciencias Naturales, MNCN-CSIC. Serrano 115B., E-28006 Madrid, Spain., (2) Facultad de Química, Universidad de la Laguna. Avda. Astrofísico Francisco Sánchez s/n. E-38206 La Laguna, Spain., (3) Instituto de Recursos Naturales y Agrobiología, CSIC. P.O. Box 1052, E-41080 Sevilla, Spain., (4) Instituto de Química Orgánica General, CSIC. Juan de la Cierva 3, E-28006 Madrid, Sp...

Many studies uphold market orientation as a key factor in creating and sustaining a firm’s competitive advantage. The present research model explores this topic further by including within the model the links between organizations’ innovation outcomes, its process of organizational unlearning and business performance. In particular, the model empirically tests the mediating role of innovation o...