Formatively measured constructs have been increasingly used in information systems research. With few exceptions, however, extant studies have been relying on the partial least squares (PLS) approach to specify and estimate structural models involving constructs measured with formative indicators. This paper highlights the benefits of employing covariance structure analysis (CSA) when investiga...

Several theorists advocate the application of relationship marketing concepts to the not-for-profit organisation (NPO) sector. The authors build on these contributions to adapt and extend the Morgan and Hunt [J. Mark. 58 (1994) 20] commitment– trust model to the NPO sector. The proposed model is applied to the relationship between an NPO and its organisational funders and is empirically tested....

Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PL...

Partial Least Squares (PLS) has become an increasingly popular approach to testing research models with multiple proposed causality links. Moreover, recent interest in the specification of constructs in a formative manner has accentuated this tendency, given the purported ability of PLS to handle this methodological development. While a review of the literature reveals an extensive use of PLS i...

Acrylamide is probably carcinogenic to humans (International Agency for Research on Cancer, group 2A) with major occurrence in heated, mainly carbohydrate-rich foods. For roasted coffee, a European Union benchmark level of 400 µg/kg acrylamide importance. Regularly, the contents are controlled using liquid chromatography combined tandem mass spectrometry (LC–MS/MS). This reference method reliab...

An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical analysis in such applications is dimension reduction. This paper provides a comparison study of three dimension reduction techniques, namely partial least squares (PLS), sliced inverse regression (SIR) an...

The prediction of the aero-engine performance parameters is very important for aero-engine condition monitoring and fault diagnosis. In this paper, the chaotic phase space of engine exhaust temperature EGT time series which come from actual air-borne ACARS data is reconstructed through selecting some suitable nearby points. The partial least square PLS based on the cubic spline function or the ...

This paper presents results from the application of Multiway Partial Least Square (MPLS) as a regressor tool in order to estimate the localization of impacts in an aircraft structure. MPLS is a technique that maximizes the covariance between the predictor matrix X and the predicted matrix Y for each component of the space. The structure can be considered as a small scale version of part of a wi...