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...

Drawing upon the social capital theory (SCT), this study integrates social capital factors with the perspectives of consumer hedonic participation and platform capability of online group buying sites to explore how they affect consumer value creation toward online group buying (OGB). Data from 663 valid responses were obtained using an online large-scale survey. The conceptual framework was val...

Consumer trust is one of the key obstacles to online vendors seeking to extend their consumers across cultures. This research identifies culture at the individual consumer level. Based on the Stimulus– Organism–Response (S–O–R) model, this study focuses on the moderating role of uncertainty avoidance culture value on privacy and security as cognition influences, joy and fear as emotional influe...

For the purpose of exploring and modelling the relationships between a dataset and several datasets, multiblock Partial Least Squares is a widely-used regression technique. It is designed as an extension of PLS which aims at linking two datasets. In the same vein, we propose an extension of Redundancy Analysis to the multiblock setting. We show that PLS and multiblock Redundancy Analysis aim at...

This research develops a causal-predictive model for predicting the supplier performance due to buyer-initiated supplier process improvement (SPI). SPI is one type of supply chain collaboration that focuses on process improvement. It is a common practice in supply chains that are driven by a powerful buyer firm. Drawing upon the supply chain management and process improvement literature, we rel...

E-prescribing systems hold promise for improving the quality and efficiency of the scripting process. Yet, the use of the technology has been associated with a number of challenges. The diffusion of e-prescribing into physician practices and the consequent realisation of its potential benefits will depend on whether physicians are willing to accept and engage with the technology. This study dra...

The main objective of this study is to examine gender differences and technology acceptances from tertiary education students from Chile. The TAM model is the tool used to measure the acceptance and use of e-learning of respondents. Partial Least Squares (PLS) was used, specifically, multi-group PLS analysis was used to compare between-group differences. In summary, we can affirm that in a samp...