Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies

Xiaodong Yuan () and Weiling Song ()
Additional contact information
Xiaodong Yuan: Huazhong University of Science and Technology
Weiling Song: Huazhong University of Science and Technology

Information Technology and Management, 2022, vol. 23, issue 2, No 1, 65-76

Abstract: Abstract Technological innovation capability (TIC) refers to a fundamental ability owned by an organization to invest and reorganize production factors in technology innovation for gaining competitive advantages. It has attracted increasing attention to evaluate enterprises’ TIC in a competitive market. However, the existing methods have some limitations in the accuracy and efficiency of assessing TIC. This paper proposes a novel approach of evaluating enterprises’ TIC, which combines the entropy weight method and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) based on patent information. Entropy can determine the weights of indicators that help improve the rationality of the weighting. Besides, TOPSIS may reasonably rank the calculating results, which helps solve poor results in a fuzzy comprehensive evaluation. The paper takes seven enterprises in the solar cell technology field as samples to illustrate the proposed method. The results show that the Entropy-TOPSIS method can effectively evaluate enterprises’ TIC and is more suitable for small samples.

Keywords: Technology innovation capability; Patent data; Entropy-TOPSIS method; Solar cell enterprises (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s10799-021-00344-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infotm:v:23:y:2022:i:2:d:10.1007_s10799-021-00344-6

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10799

DOI: 10.1007/s10799-021-00344-6

Access Statistics for this article

Information Technology and Management is currently edited by Raymond Patterson and Erik Rolland

More articles in Information Technology and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().