应用基于多准则决策方法的决策模型评估数字化转型技术对企业架构原则的影响

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Izabelle Hannemann, Sarah Rodrigues, Eduardo Loures, Fernando Deschamps, Jose Cestari
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引用次数: 2

摘要

世界各地的组织都在经历数字化转型(DT)的过程。企业架构(EA)是一种方法和组织原则,它将业务目标和策略与信息技术策略和执行计划结合起来。EA提供了指导企业技术演进和转换的指南。企业环境评估原则是企业环境评估定义中的关键概念之一;他们帮助识别组织的愿景并确认结果。然而,缺乏足够的工具来评估当前状态和识别EA管理过程改进的机会,常常使组织不确定从哪里开始改进他们的过程。本文的目的是帮助组织识别这些改进机会。为此,开发了一个决策模型来评估DT技术对开放组体系结构框架(TOGAF)提出的EA原则的影响。进行了文献综述,并确定了在EA范围内应用的五种主要DT技术。在此基础上,建立了基于决策试验与评估实验室和PROMETHEE两种决策方法的决策模型。对TOGAF提出的21个体系结构原则进行了评估,并确定了技术对这些原则的影响。结果表明,大数据和云计算技术在分析的原则中具有最大的影响,因此得出结论,当应用于EA范围时,这些技术可以帮助组织改进其EA程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Applying a decision model based on multiple criteria decision making methods to evaluate the influence of digital transformation technologies on enterprise architecture principles

Applying a decision model based on multiple criteria decision making methods to evaluate the influence of digital transformation technologies on enterprise architecture principles

Organisations all over the world are going through the process of digital transformation (DT). Enterprise Architecture (EA) is a method and an organising principle that aligns the business's objectives and strategies with the Information Technology strategy and execution plan. EA provides a guide to direct the evolution and transformation of enterprises with technology. The EA principles are one of the key concepts in the definition of EA; they assist in recognizing the organization vision and validating the outcomes. However, the lack of adequate instruments for assessing the current state and identifying opportunities for EA management procedures improvement often leave organisations unsure of where to begin improving their procedures. The aim of this paper is to help organisations identify these improvement opportunities. To do so, a decision model was developed to evaluate the influence DT technologies have on the EA principles proposed by The Open Group Architecture Framework (TOGAF). A literature review was conducted, and five main DT Technologies applied in the EA scope were identified. With that, a decisional model was created based on two decision-making methods called Decision-Making Trial and Evaluation Laboratory and PROMETHEE. The 21 architecture principles proposed by TOGAF were evaluated and the influence the technologies exercised on the principles were identified. As a result, Big Data and Cloud Computing technologies were indicated as having the greatest effect over the analysed principles, therefore concluding that when applied in the EA scope, these technologies can help organisations improve their EA procedures.

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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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