Identifying obstacles in the evaluation of companies based on the research cluster method
Identifying obstacles in the evaluation of companies based on the research cluster method
Author(s): Mihaela Ionela Socoliuc, Anatol Melega, Elena Hlaciuc, Daniel BotezSubject(s): Economy, Business Economy / Management, Micro-Economics
Published by: Institute of Society Transformation
Keywords: Market Value; Intangible Assets; Company Valuation Process; Bibliometric Analysis; Meta-Analysis; Research Cluster and Scientific Production; WoS;
Summary/Abstract: In the current context of accelerating digitisation in almost all areas of business, assessing the market value of a company has become a topic of debate both among practitioners and in the academic community due to a significant increasing presence of intangibles in the assets of these companies. Therefore, the purpose of our research is focused on the identification of existing impediments in the evaluation process of companies over time. The established objectives are: meta-analysis of the most relevant papers on company valuation and bibliometric analysis of WoS indexed papers, during the period of 1975-2021 having such topics as performance, corporate governance, information, market, company, fair value, intellectual capital and earnings management. The research methodology is based on a database formed by all studies indexed in WoS in the last approximately 45 years with the mentioned topics and the obtained results consist in determining the structure of research clusters formed by the key concepts used in company evaluation. The usefulness of the results is confirmed by the creation of future research directions on the topic of company valuation, because having the help of the existing intensity of links between research clusters of this domain, it is much easier for researchers to approach new directions and themes related to this subject.
Journal: Економічний часопис - ХХІ
- Issue Year: 199/2022
- Issue No: 9-10
- Page Range: 4-18
- Page Count: 14
- Language: English