Enes Furkan Erkan , Özer Uygun, Halil İbrahim Demir
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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 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.
期刊介绍:
Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities.
Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.