Organizations have become increasingly dependent on teams to carry out their R&D tasks. Effective teams rely on knowledge sharing and group cohesiveness to achieve better performance. In particular, the transactive memory system (TMS) and trust are two important factors that impact knowledge sharing in R&D teams. To date, there has been relatively little empirical investigation of the effects o...

Over the past decade, numerous studies examined the critical factors that affect the learning outcomes and student satisfaction in asynchronous online learning courses including learning management systems (LMS). This research focuses on the effects of learner’s psychological variables (e.g., self-efficacy) and psychological learning process (e.g., self-regulated learning management) on student...

The Analytic Hierarchy Process (AHP) [8] is a powerful process to help people to express priorities and make the best decision when both qualitative and quantitative aspects of a decision need to be considered. In this paper, in order to eliminate the influence of outliers, we use an approach based on Robust Partial Least Squares (R-PLS)[12] regression for the computation of the values for the ...

While most firms suffer severe impacts from recessions, other firms are less affected or even prosper in these moments. Nevertheless, strategic management has made little progress in understanding the reasons for these differences in performance. We build on the Resource-based view of the firm (RBV) and its relationships with theories on entrepreneurship, improvisation and flexibility to create...

Determinants of tourism industry in selected European countries: a smooth partial least squares approach Lukáš Malec & Josef Abrhám To cite this article: Lukáš Malec & Josef Abrhám (2016) Determinants of tourism industry in selected European countries: a smooth partial least squares approach, Economic ResearchEkonomska Istraživanja, 29:1, 66-84, DOI: 10.1080/1331677X.2016.1156554 To link to thi...

Partial least squares is a popular method for soft modelling in industrial applications. This paper introduces the basic concepts and illustrates them with a chemometric example. An appendix describes the experimental PLS procedure of SAS/STAT software.

There is a growing interest in understanding how the built environment affects temperature in cities. This study explores the impact of land use on temperature and how it varies by season and time of day in Seoul, South Korea. Unlike other studies that rely on extracted data from remotely sensed information, this study uses land use data from local GIS and near-ground temperature data from a ne...

An approach to evaluate harmonic contributions at the point of common coupling is presented in this paper. The proposed approach is based on robust partial least squares regression, which estimates system harmonic impedance by utilizing the signals of harmonic voltage and current measured synchronously at the point of common coupling. Consequently according to the IEC Technical Report 61000-3-6...

This study presents a conceptual model to investigate the e-health readiness required by healthcare organization and the impact of such readiness in enhancing e-health transformation success. A scale to measure e-health readiness was developed and validated; then it was used to collect the large-scale survey data. The partial least squares (PLS) method was used to empirically test the conceptua...