When applying multivariate analysis techniques in information systems and social science disciplines, such as management information systems (MIS) and marketing, the assumption that the empirical data originate from a single homogeneous population is often unrealistic. When applying a causal...

A strukturális egyenletek módszere (SEM) népszerű többváltozós elemzési eszköz a marketingkutatások területén, mivel látens változók és a közöttük lévő kapcsolatok feltárását teszi lehetővé. A módszer két fő iránya a varianciaalapú (PLS) és a kovarianciaalapú...

Partial least squares structural equation modeling (PLS-SEM) is a popular method of data analysis in marketing, information systems research, and related fields. Unfortunately, the literature on PLS-SEM contains a number of misstatements that ascribe characteristics to PLS-SEM that it does not...

There is great interest in the application of technological solutions driven by a thriving CRM industry. It has been shown the more effective the implementation of SFA, the greater its impact on increased sales performance. Previous research on SFA adoption has focused on the individual as the...

This accessible, practice-oriented and compact text provides a hands-on introduction to the principles of market research. Using the market research process as a framework, the authors explain how to collect and describe the necessary data and present the most important and frequently used...

The broader goal of this paper is to provide social researchers with some analytical guidelines when investigating structural equation models (SEM) with predominantly a formative specification. This research is the first to investigate the robustness and precision of parameter estimates of a...

Partial least squares-based path modeling with latent variables is a methodology that allows to estimate complex cause-effect relationships using empirical data. The assumption that the data is collected from a single homogeneous population is often unrealistic. Identification of different...