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MCDA in knowledge-based economies: Methodological developments and real world applications

机译:知识型经济中的MCDA:方法学发展和现实应用

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摘要

The importance of knowledge in creating value, driving productivity and promoting economic growth has long been recognized. Accompanying this recognition of the central role of knowledge in today's economies has been an added focus on information technology, learning and the accelerated pace of technical and scientific advance that results therefrom. Closely connected to these developments has been the advent of big data; and as information becomes available at greater volumes and higher speed, the focus is shifting from quantity to the quality of the information collected and the manner in which it is used. In this respect, Multiple Criteria Decision Analysis (MCDA) techniques constitute valuable tools for structuring and evaluating complex decision situations, and can allow for more informed, potentially better decisions. MCDA techniques are able to build on the knowledge of expert participants in a given field, and produce assessment systems based on values and experience. Constructivist in nature, this approach has grown exponentially over the past few decades, causing a change in the decision-making arena in general, and in the field of decision support systems (DSS) in particular. The objective of this special issue is to bring together recent developments and methodological contributions within MCDA, with the challenges which characterize the knowledge-based economy, as they pertain to the themes of technological forecasting and social change.
机译:人们早已认识到知识在创造价值,提高生产力和促进经济增长中的重要性。伴随着对知识在当今经济中的核心作用的认识,人们更加关注信息技术,学习以及由此带来的技术和科学进步的加快步伐。与这些发展紧密相关的是大数据的出现。随着信息量的增加和速度的提高,重点从收集的信息的数量到质量以及使用方式的转变。在这方面,多标准决策分析(MCDA)技术构成了用于构建和评估复杂决策情况的有价值的工具,并且可以允许更明智的,可能更好的决策。 MCDA技术能够基于给定领域的专家参与者的知识,并基于价值和经验建立评估系统。在本质上是建构主义者,这种方法在过去的几十年中呈指数增长,导致了整个决策领域的变化,尤其是在决策支持系统(DSS)领域。本期专刊的目的是将MCDA内的最新发展和方法论方面的研究成果结合起来,以知识经济为特征的挑战,因为它们涉及技术预测和社会变革的主题。

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  • 作者单位

    George Washington Univ, Sch Business, Dept Informat Syst & Technol Management, Washington, DC 20052 USA;

    Univ Beira Interior, NECE Res Unit, Estr Sineiro, P-6200209 Covilha, Portugal;

    Univ Inst Lisbon, BRU IUL, ISCTE Business Sch, Ave Forcas Armadas, P-1649026 Lisbon, Portugal;

    Univ Inst Lisbon, BRU IUL, ISCTE Business Sch, Ave Forcas Armadas, P-1649026 Lisbon, Portugal;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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