How to Measure Knowing Without Knowing? A Systematic Bibliometric Mapping and Visualization

Abstract

In this work, we explore rational and intuitive decision-making styles via a literature review by taking advantage of advanced bibliometric analysis techniques. To contribute to the scientific debate, the aim of this mapping and clustering analysis is to systematically explore cognitive styles to call attention to several psychometric properties that can inspire future research, in particular for measuring intuitive decision making, the unconscious form, which has received less scholarly attention than the rational form. The data examined from the Web of Science and Scopus databases comprise 20,582 peer-reviewed documents published through the end of 2019. Based on this research review of decision-making styles across research domains and entrepreneurship literature in particular, we analyzed the literature regarding intuitive decision-making styles in greater detail. So far, the scientific community has focused its attention on measuring rational decision making. Thus, this first systematic bibliometric mapping and visualization study will allow us to recognize “invisible colleagues“ across domains not only by offering insights from current research into the two uncorrelated constructs of intuitive and rational systems by identifying intellectual relationships but also by serving as food for thought for new measurements of entrepreneurial intuitive decision making.