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

IF 7.2 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Soft Computing Pub Date : 2024-09-07 DOI:10.1016/j.asoc.2024.112199

Enes Furkan Erkan , Özer Uygun, Halil İbrahim Demir

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引用次数: 0

Abstract

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.

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利用人工智能技术支持的模糊认知绘图评估数字化转型

数字化转型过程旨在将人、机器和技术整合到互动系统中，促使企业调整其竞争模式。了解和实施数字化转型对于企业在整个运营过程中整合物理和虚拟系统至关重要。本研究提出了一个综合模型，强调智能技术、组织和制造是基本标准。该研究整合了模糊认知图和模糊 DEMATEL 方法，捕捉了复杂的关系，并对国防工业的三家公司进行了动态分析。研究结果展示了这些公司不同的数字化转型水平，并通过情景和预测分析进行了评估。此外，敏感性分析强调了对前三项标准进行调整的影响，有助于企业决定其转型起点。这种以模糊认知图和人工智能为基础的综合方法可作为决策支持系统和企业数字化转型的路线图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Soft Computing 工程技术-计算机：跨学科应用

CiteScore

15.80

自引率

6.90%

发文量

874

审稿时长

10.9 months

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.