Intangible Assets: Scientometrics and Bibliometric using Social Network Analysis

Abstract

The present study was conducted with a scientometric approach and using the social network analysis method to investigate the relationships in the field of intangible assets. In this regard, the data of 2998 documents conducted between 1979 and 2019 based on the articles indexed in the Scopus database on intangible assets were analyzed using Gephi and Publish or Perish software. The status of scientific productions in this field and the most influential concepts and keywords, researchers, and journals were examined. Research findings show that knowledge management and intellectual capital are essential concepts in this field. Also, value creation, value chain, social responsibility, and trademark are the most valuable subject areas based on the networks. The co-authorship network is discrete, with low density and 58945 citations in all articles. Also, Emerald Publications has published the most significant number of articles in this field. Entering the era of a knowledge-based economy, a large part of organizations' assets is intangible, which confirms the identification and investment in these types of assets. This study shows that intangible assets are closely related to critical social issues such as intellectual capital, knowledge management, and competition. The present study helps researchers in this field explain the investigation process and policies based on the identified areas of influence.https://dorl.net/dor/20.1001.1.20088302.2022.20.4.4.3

Keywords

• intangible asset, scientific map, intellectual capital, scientometrics, social network analysis.