Enhancing Organizational Performance Through The Fuzzy Dematel Method

Nicula Dana Laura () and Constantinescu Sorina
Additional contact information
Nicula Dana Laura: The Bucharest University of Economic Studies, Romania
Constantinescu Sorina: The Bucharest University of Economic Studies, Romania

Journal of Social and Economic Statistics, 2023, vol. 12, issue 2, 72-87

Abstract: In today’s dynamic and interconnected business landscape, organizational performance optimization is imperative for sustained success. To achieve this, it is essential to discern and address the complex cause-and-effect relationships within an organization. This article introduces the Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy DEMATEL) method as a powerful tool for evaluating and enhancing organizational performance. The Fuzzy DEMATEL method, an extension of the traditional DEMATEL approach, accommodates the inherent ambiguity and uncertainty in real-world data, offering a more robust and accurate analysis. This method enables decision-makers to identify causal relationships among various factors impacting organizational performance, classify these factors as cause or effect, and quantify the degree of their influence using fuzzy logic.

Keywords: DEMATEL; Fuzzy Dematel; Cause and Effect Analysis; Quality Management; Decision Making; Operations Research; Project Management (search for similar items in EconPapers)
JEL-codes: D24 D80 D81 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/jses-2023-0010 (text/html)

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:vrs:jsesro:v:12:y:2023:i:2:p:72-87:n:2

DOI: 10.2478/jses-2023-0010

Access Statistics for this article

Journal of Social and Economic Statistics is currently edited by Erika Marin

More articles in Journal of Social and Economic Statistics from Sciendo
Bibliographic data for series maintained by Peter Golla ().