In this study, we proposed a research model to investigate the factors influencing users’ continuance intention to use Twitter. Building on the uses and gratification framework, we have proposed four types of gratifications for Twitter usage, including content gratification, technology gratification, process gratification, and social gratification. We conducted an online survey and collected 12...

Intention to knowledge sharing is a growing concern that has been largely discussed in extant literature using Ajzen’s theory of planned behavior (TPB). However, the studies have mostly neglected the influence of individual psychological needs of knowledge workers on intention to share knowledge. Combining the TPB with McClelland’s three psychological needs approach, the study aims at uncoverin...

This study is motivated by, and proceeds from, a central interest in the importance of evaluating IS service quality and adopts the IS ZOT SERVQUAL instrument (Kettinger & Lee, 2005) as its core theory base. This study conceptualises IS service quality as a multidimensional formative construct and seeks to answer the main research questions: “Is the IS service quality construct valid as a 1 st ...

Despite the widely recognised importance of intellectual capital as a vital source of competitive advantage, there is still little understanding of how organisations actually combine their components to drive value. The purpose of this study is to examine the interrelationships among intellectual capital components within the Portuguese banking context by extending a study completed by Bontis. ...

Antitubercular activity of Sulfathiazole Derivitives series were subjected to Quantitative Structure Activity Relationship (QSAR) Analysis with an attempt to derive and understand a correlation between the Biologically Activity as dependent variable and various descriptors as independent variables. QSAR models generated using 28 compounds. Several statistical regression expressions were obtaine...

Partial Least Squares Regression (PLSR) is a linear regression technique developed to deal with high-dimensional regressors and one or several response variables. In this paper we introduce robustified versions of the SIMPLS algorithm being the leading PLSR algorithm because of its speed and efficiency. Because SIMPLS is based on the empirical cross-covariance matrix between the response variab...