Assessing digital transformation using fuzzy cognitive mapping supported by artificial intelligence techniques

The digital transformation process aims to align people, machines, and technologies in interactive systems, prompting businesses to adapt their models for competitiveness. Understanding and implementing digital transformation becomes crucial for organizations to integrate physical and virtual system...

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Bibliographic Details
Published in:Applied soft computing 2024-11, Vol.166, p.112199, Article 112199
Main Authors: Erkan, Enes Furkan, Uygun, Özer, Demir, Halil İbrahim
Format: Article
Language:English
Subjects:
Differential evolution algorithm
Digital transformation process
Fuzzy cognitive maps
Fuzzy DEMATEL
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Summary:The digital transformation process aims to align people, machines, and technologies in interactive systems, prompting businesses to adapt their models for competitiveness. Understanding and implementing digital transformation becomes crucial for organizations to integrate physical and virtual systems throughout their operations. The study presents a comprehensive model emphasizing intelligent technology, organization, and manufacturing as essential criteria. Integrating fuzzy cognitive maps and fuzzy DEMATEL methods, the study captures complex relationships and employs a dynamic analysis involving three firms in the defense industry. Results showcase the companies' diverse digital transformation levels, assessed through scenarios and predictive analyses. Additionally, a sensitivity analysis underscores the impact of adjustments to the top three criteria, aiding businesses in deciding their transformational starting points. This integrated method, underpinned by fuzzy cognitive maps and artificial intelligence, emerges as a decision support system and a roadmap for enterprises navigating digital transformation. •Formulating a comprehensive digital transformation process model by scrutinizing existing models and expert opinions.•Employing a unique fusion of Fuzzy DEMATEL and FCM supported by artificial intelligence techniques.•Analyzing digital transformation while offering future predictions based on current organizational status.•Providing a customizable framework adaptable to diverse sectors for effective organizational change support.
ISSN:1568-4946
DOI:10.1016/j.asoc.2024.112199