A Bibliometric Analysis of Knowledge Dynamics in Managerial Decision Making

Abstract

The purpose of this paper is to present a bibliometric analysis of the literature, focusing on knowledge dynamics in managerial decision making. The motivation of our research is based on the new theory of knowledge fields and knowledge dynamics and its influence on decision making in business and management. The methodology used is based on a bibliometric analysis performed with the specialized software VOSviewer. The analysis graphically presents a series of semantic clusters which show the co-citation distances between different concepts related to the search expressions used like “knowledge dynamics”, “managerial decision”, and “decision making”. As a database, we used the papers published in journals indexed in Web of Science. The outcomes of our analysis are some graphical representations of semantic clusters for the expressions “knowledge dynamics” and “managerial decision making”, and a series of tables with the content analysis of the clusters and some other data concerning publications and authors. The findings demonstrate that there is a consistent link between knowledge dynamics and the managerial decision making process. The contribution of the paper comes from the fact that it is a first bibliometric analysis of the correlations between knowledge dynamics and managerial decision making as reflected in papers indexed in Web of Science. Also, the analysis includes for the first time the topic of entropic knowledge dynamics as reflected in papers indexed in Web of Science.