Supporting Decision Making in Value-Oriented Design: A Multidomain System Value Model

IF 4.6 3区 管理学 Q1 BUSINESS
Emilia Lavi;Yoram Reich
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引用次数: 0

Abstract

The main goal of design is to create value. Recently, there has been a growing understanding that value extends beyond purely economic and technical factors and should embrace the multifaceted sociotechnical ecosystem. Studies discussing system value acknowledge its imperative role in design while observing the lack of a comprehensive value notion complying with the need. In this article, the primary objective is to propose a holistic multidomain system value model (SVM), targeted to be general and field agnostic, to be utilized as a decision-support tool. The generation of the model includes the synthesis of multiple, transcending engineering, data sources, system value ontology formulation, and design of a concise SVM. Aiming to be practical and generally applicable, the SVM is validated by focus groups and case studies, analyzing engineered systems along with policy-related decisions. The findings indicate that the suggested model enables systematic and time-efficient system value analysis, assisting in evaluating alternatives and unveiling differing attitudes. Used as a decision-making support tool, the SVM can transform the scope of discussions, expand the range of factors considered during alternatives comparison, and guide the way toward higher value outcomes.
支持价值导向设计中的决策:多域系统价值模型
设计的主要目标是创造价值。最近,越来越多的人认识到,价值超越了纯粹的经济和技术因素,应该包含多方面的社会技术生态系统。讨论系统价值的研究承认其在设计中的重要作用,但同时也发现缺乏符合需求的综合价值概念。本文的主要目的是提出一个全面的多领域系统价值模型(SVM),该模型具有通用性和领域无关性,可用作决策支持工具。该模型的生成包括综合多种超越工程的数据源、系统价值本体的制定以及简明 SVM 的设计。为了使 SVM 具有实用性和普遍适用性,我们通过焦点小组和案例研究对 SVM 进行了验证,分析了工程系统和与政策相关的决策。研究结果表明,所建议的模型能够进行系统、省时的系统价值分析,有助于评估替代方案并揭示不同的态度。作为一种决策支持工具,SVM 可以改变讨论的范围,扩大替代方案比较过程中考虑的因素范围,并引导人们走向更高的价值结果。
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
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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