RETRACTED ARTICLE: Research on enterprise information capability evaluation based on fuzzy inference system

Liming Zhang () and Kuankuan Luo ()
Additional contact information
Liming Zhang: Business School of Sichuan University
Kuankuan Luo: Business School of Sichuan University

Information Systems and e-Business Management, 2020, vol. 18, issue 4, No 18, 767-778

Abstract: Abstract The development of science and technology has brought a wealth of information resources to enterprises. The ability of enterprises to acquire, process and apply such information is called “enterprise information capability”, and it has become an important evaluation standard for enterprises which are market-oriented. At present, the research achievements of enterprise information capability evaluation and enterprise information system construction evaluation mainly include the connotation of enterprise information capability, how to improve enterprise information capability construction and how to construct enterprise information system, etc. This paper attempts to use the fuzzy inference system to evaluate the enterprise information capability, and validates the constructed fuzzy inference system through simulation data. Finally, it obtains a good evaluation result. The results show that the higher the achievement rate of each indicator, the higher the score calculated by the fuzzy inference system, and the stronger the information capability of the enterprise. At the same time, the fuzzy inference system method can be used for the evaluation of enterprise information capabilities.

Keywords: Enterprise information capability evaluation; Fuzzy inference system; Evaluation system (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10257-018-00395-3 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:infsem:v:18:y:2020:i:4:d:10.1007_s10257-018-00395-3

Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/10257

DOI: 10.1007/s10257-018-00395-3

Access Statistics for this article

Information Systems and e-Business Management is currently edited by Jörg Becker and Michael J. Shaw

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