'Participative foresight scenario mapping': adapting an MCM method to appraise foresight scenarios for the long term sustainable development of a small island

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2016-07-25 DOI:10.1504/IJMCDM.2016.077877
José Benedicto Royuela, M. Eames, S. Buckingham
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引用次数: 3

Abstract

Multi-criteria mapping (MCM) appraisal has been used in projects involving decisions related to specific technologies or policies in risk analysis. In this research, MCM has been adapted for appraising in a participative way holistic scenarios for a small isolated island. The procedural novelty relies on how the scenario building and the criteria selection were undertaken. Two scenarios for Flores Island (Portugal) were developed in a two step process involving, firstly, specialised stakeholders and decision-makers, and secondly, lay citizens. The scenarios aimed at proposing alternative visions of future. This article analyses the methodological aspects of the project (scenario development and MCM interviews). Overall, the methodology proved to be successful in informing preferred futures for Flores. One of the findings was the elevated uncertainty associated with each scenario. The project showed the limits of expert knowledge for the appraisal of multidisciplinary holistic scenarios, contradicting the distinction between expert and lay knowledge holders.
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“参与式预见情景绘图”:采用MCM方法评估一个小岛屿长期可持续发展的预见情景
多准则映射(MCM)评价已用于涉及风险分析中与具体技术或政策有关的决策的项目。在本研究中,MCM已被用于以参与式方式评估一个小孤岛的整体情景。程序的新颖性依赖于如何进行情景构建和标准选择。弗洛雷斯岛(葡萄牙)的两个方案分两步制定,首先涉及专业利益相关者和决策者,其次涉及非专业公民。这些场景旨在提出未来的不同愿景。本文分析了项目的方法学方面(场景开发和MCM访谈)。总的来说,该方法在为弗洛雷斯提供首选期货信息方面证明是成功的。其中一项发现是,每种情况都增加了不确定性。该项目显示了专家知识对多学科整体情景评估的局限性,与专家和非专业知识持有人之间的区别相矛盾。
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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