Adoption of Social Media (SM) has been growing in an incremental manner over the past few years. In their attempt to capitalize from the large user base present on such websites, business executives have been piloting different approaches in order to gain a competitive edge and promote their products and services to consumers. Research however, has been lagging in this direction. This study exa...

This study examined the positive impact of a specific leadership style (i.e., transformational leadership) on information systems (IS) effectiveness in organizations based upon a subordinate’s perspective. Specifically, we investigated system users’ psychological mechanisms that may mediate the relationship between transformational leadership and IS effectiveness (i.e., individual and organizat...

MIS literature has not adequately addressed the measurement of electronic commerce dimensions and activities. Measures are yet to be proposed to assess the effect of trusted electronic interorganizational relationships on customer loyalty. In this paper, we present the results of a study that was a first effort toward this end. The focus of this study is to develop an instrument for measuring f...

During recent years, IT alignment research has gained considerable attention in both academia and practice. However, so far most studies focus on the strategic-to-strategic IT alignment dimension, thus omitting an integration of the strategic-to-tactical IT alignment dimension. By drawing upon assimilation and institutional theory, our research model depicts a perspective on IT project alignmen...

Use of the partial least squares (PLS) method has been on the rise among e-collaboration researchers. It has also seen increasing use in a wide variety of fields of research. This includes most business-related disciplines, as well as the social and health sciences. The use of the PLS method has been primarily in the context of PLS-based structural equation modeling (SEM). This article discusse...

In many areas of research and industrial situations, including many data analytic problems in chemistry, a strong nonlinear relation between different sets of data may exist. While linear models may be a good simple approximation to these problems, when nonlinearity is severe they often perform unacceptably. The nonlinear partial least squares (PLS) method was developed in the area of chemical ...

Distances matrices are traditionally analyzed with statistical methods that represent distances as maps such as Metric Multidimensional Scaling (MDS), Generalized Procrustes Analysis (GPA), Individual Differences Scaling (INDSCAL), and DISTATIS. MDS analyzes only one distance matrix at a time while GPA, INDSCAL and DISTATIS extract similarities between several distance matrices. However, none o...

Recently, there has been an increased attention in the literature on the use of ensemble methods in multivariate regression and classification. These methods have been shown to have interesting properties both for regression and classification. In particular, they can improve the accuracy of unstable predictors. Ensemble methods have so far, been little studied in situations that are common for...

We consider the partial least squares algorithm for dependent data and study the consequences of ignoring the dependence both theoretically and numerically. Ignoring nonstationary dependence structures can lead to inconsistent estimation, but a simple modification yields consistent estimation. A protein dynamics example illustrates the superior predictive power of the proposed method.

Univariate partial least squares (PLS) is a method of modeling relationships between a Y variable and other explanatory vanables. It may be used with any number of explanatory variables, even far more than the number of observations. A simple interpretation is given that shows the method to be a straightforward and reasonable way of forming prediction equations. Its relationship to multivariate...