Viewed from the perspective of the activity competency model (ACM) and prior theoretical works, we developed a conceptual framework for investigating the capability of IT management personnel and its impact on the performance of a CIO. A scale for measuring a CIO’s effectiveness and management capability was developed and validated. A partial least squares method was used to test the conceptual...

This study aims to investigate and improve understanding of the social forces that influence patient portal use behavior among the elderly. Underpinned by institutional theory and using the Unified Theory of Acceptance and Use of Technology, our proposed model examines the three social environmental factors of normative, mimetic, and coercive forces within the health Information Technology (HIT...

The presence of multicollinearity in regression data is no exception in real life examples. Instead of applying ordinary regression methods, biased regression techniques such as Principal Component Regression and Ridge Regression have been developed to cope with such data sets. In this paper we consider Partial Least Squares (PLS) regression by means of the SIMPLS algorithm. Because the SIMPLS ...

This paper investigates the use of Local Linear Embedded Regression (LLER) for the quantitative analysis of glucose from near infrared spectra. The performance of the LLER model is evaluated and compared with the regression techniques Principal Component Regression (PCR), Partial Least Squares Regression (PLSR) and Support Vector Regression (SVR) both with and without pre-processing. The predic...

Abstract. The transient response of metal-oxide sensors exposed to mild odours can be oftentimes highly correlated with the behaviour of the array during the preceding wash and reference cycles. Since wash/reference gases are virtually constant overtime, variations in their transient response can be used to estimate the amount of sensor drift present in each experiment. We perform canonical cor...