Abstract

The study of business performance has a substantial impact on improving the internal management and economic performance of companies. By analysing the previous literature, this paper chooses to measure the factors affecting business performance at four levels, including R&D investment intensity, human capital, patents, and brand value. The purpose of the study is to find out whether these selected factors work equally well for small and medium-sized enterprises. The sample size was 846 Chinese small and medium enterprises from different industries. The firm performance indicators were ROA and ROE. The data has been collected through National Equities Exchange and Quotations platforms based on updated annual reports in 2019. Finally, a stepwise descriptive analysis and multiple linear regression were conducted and predicted the tendency of business performance. The analysis provided the linear combination of four independent variables (R&D, human capital, patents, and brand value) which are significantly related to the dependent variable (business performance). In conclusion, we found that there is a positive impact of patents and brand value on business performance. In detail, we concluded that only production and highly educated personnel show a positive influence. For R&D intensity, there is no strong connection could be observed. In practical terms, this paper allows SME firms to appreciate the importance of human capital, patents, and brand value.

Details

Title
Exploring the impact of R&D intensity, human capital, patents, and brand value on business performance in small and medium enterprises (SMEs)
Author
He, Mengning 1   VIAFID ORCID Logo  ; Raquel Pérez Estébanez 1   VIAFID ORCID Logo 

 Faculty of Economics and Business Administration, Complutense University of Madrid, Madrid, Spain 
Publication year
2023
Publication date
Dec 2023
Publisher
Taylor & Francis Ltd.
ISSN
1331677X
e-ISSN
18489664
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2922706836
Copyright
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.