Options
Revealing a Non-linear Relationship Between Knowledge Assets and Firm’s Value
Author(s)
Kyriakos Christofi
George Papageorgiou
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.
Part Of
Electronic Journal of Knowledge Management
Journal or Serie
Electronic Journal of Knowledge Management
Issue
1
Volume
21
Start Page
1
End Page
12
ISSN
14794411
Date Issued
2023
Open Access
No
DOI
10.34190/ejkm.21.1.2889
Publisher
Academic Conferences and Publishing International Limited