Abstract
Currently, there is not yet a mature evaluation index system of intellectual capital among enterprises. The lack of such a system hinders the smooth transform of capital to enterprise value. Therefore, this paper attempts to set up an effective and objective evaluation index system for intellectual capital. First, the data on intellectual capital were collected from some enterprises from the Growth Enterprise Market (GEM). Next, the original data were preprocessed into 1770 effective pieces of data. On this basis, 13 indices were selected from three dimensions (e.g. human capital, structural capital, and relationship capital) of intellectual capital, forming an evaluation index system. After that, the evaluation index system was verified with two machine learning (ML) algorithms, namely, random forest (RF), and support vector machine (SVM). The results show that our evaluation index system can optimize the intellectual capital classification of enterprises, avoiding the subjective defects in qualitative evaluation. The research results shed important new light on the decision-making and scientific management of enterprises.
1. Introduction
Intellectual capital, such as patents, enables knowledge-based enterprises to remain competitive and encourages them to pursue innovation, thereby promoting the value creation of such enterprises [1]. Besides, intellectual capital is the basis for enterprises to formulate effective strategies against emergencies. For example, relational capital and structural capital, two important dimensions of intellectual capital, can be utilized to mitigate the risks arising from the unpredictable changes of the environment, and to respond to the complex and stochastic business affairs. Moreover, the competition between enterprises is essentially the competition of talents. To remain competitive, an enterprise must fully leverage human capital, an active driver of intellectual capital, and effectively combine capital, management, and innovation.
