A decade of research has produced substantial results but the theorization of memorable
tourism experience, often drawing on positive and environmental psychology, remains fuzzy …

A worrying number of psychological findings are not replicable. Diagnoses of the causes of
this “replication crisis,” and recommendations to address it, have nearly exclusively focused …

The increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) in Information
Systems and marketing raises the need for a tutorial paper that discusses the basic concepts …

Purpose This research introduces the combined use of partial least squares–structural
equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables …

This article aims to improve theory formation in psychology by developing a practical
methodology for constructing explanatory theories: theory construction methodology (TCM) …

The applied social science literature using factor and network models continues to grow
rapidly. Most work reads like an exercise in model fitting, and falls short of theory building …

In recent years, a plethora of high-profile scientific publications has been reporting about
machine learning algorithms outperforming clinicians in medical diagnosis or treatment …

Deep neural networks (DNNs) are machine learning algorithms that have revolutionized
computer vision due to their remarkable successes in tasks like object classification and …

Educational assessments define what aspects of learning will formally be given credit and
therefore have a huge impact upon teaching and learning. Although the impact of high …

This essay describes tenets of complexity theory including the precept that within the same
set of data X relates to Y positively, negatively, and not at all. A consequence to this first …