Deep learning approaches to anomaly detection (AD) have recently improved the state of
the art in detection performance on complex data sets, such as large collections of images or …

Recent advances in technology have brought major breakthroughs in data collection,
enabling a large amount of data to be gathered over time and thus generating time series …

Research Summary We used interviews with elite informants as a case study to illustrate the
need to expand the discussion of transparency and replicability to qualitative methodology …

Exploratory factor analysis (EFA) is a multivariate statistical method that has become a
fundamental tool in the development and validation of psychological theories and …

Necessary condition analysis (NCA) is an increasingly used or suggested method in many
business and management disciplines including, for example, entrepreneurship, human …

The destructive leadership literature has grown remarkably in recent years. Although the
field has generated an impressive body of knowledge, we still have an incomplete …

“Scientists have known for centuries that a single study will not resolve a major issue.
Indeed, a small sample study will not even resolve a minor issue. Thus, the foundation of …

Abstract The Sustainable Development Goal 7 endeavors to ameliorate the energy system
towards sustainability. Monitoring the country's progress to the goal will be of utmost for the …

This editorial aims to advance the use of qualitative research methods when studying
entrepreneurship. First, it outlines four characteristics of the domain of entrepreneurship that …

This article examines the moderating influence of environmental consciousness and
recycling intentions on green purchase behavior (GPB) in an emerging economy. Through …