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Revealing a Non-Linear Relationship Between Knowledge Assets and Firm's Value.

Authors :
Christofi, Kyriakos
Chourides, Pieris
Papageorgiou, George
Source :
Electronic Journal of Knowledge Management. 2023, Vol. 21 Issue 1, p1-12. 12p.
Publication Year :
2023

Abstract

This paper investigates the effects of knowledge assets on firm's value. Developing knowledge assets has been gaining momentum in recent years under the lens and scope of knowledge management. However, there is an ongoing debate regarding the optimum level and combination of knowledge assets that would lead to firm's value maximization. The aim of this paper is to provide a resolution to this debate by investigating how knowledge assets affect firm's value and competitiveness in a real market context. By means of accounting indicators data, an examination is carried out on the identifiable knowledge assets derived from company annual reports. Consequently, the impact on firm's value over time is explored via multiple regression analysis using panel data. As a result, the optimal structure/balance between internal and external knowledge assets that lead to maximum market value is explored. The main findings show that knowledge assets generate greater firm value when they are coupled with complimentary assets. Additionally, externally acquired knowledge is equally important as knowledge which has been developed from internal research and development efforts. As a result, it is shown that an optimal balance between internal and external knowledge assets leads to greater firm value. Note that while similar studies tend to explore the impact of knowledge assets on various aspects, such as international and innovation performance, little has been done to investigate the impact of knowledge on the overall value of the firm. The presented study is not limited to product development, but it takes into consideration the capitalization of those products in the real market context. Thereby, managerial implications are explored, and suggestions are given on specific structures of knowledge assets that maximize organizational value. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14794411
Volume :
21
Issue :
1
Database :
Academic Search Index
Journal :
Electronic Journal of Knowledge Management
Publication Type :
Academic Journal
Accession number :
163014047
Full Text :
https://doi.org/10.34190/ejkm.21.1.2889