Methods to inform the development of concise objectives hierarchies in multi-criteria decision analysis

Marttunen, Mika; Haag, Fridolin; Belton, Valérie; Mustajoki, Jyri; Lienert, Judit

doi:10.1016/j.ejor.2019.02.039

Cited by 42 publications

(33 citation statements)

References 60 publications

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“…There are desirable properties for the whole set of indicators, such as the completeness of the set (i.e., it should cover all the relevant indicators) and the compactness of the set (i.e., each indicator should have an additional value) (Keeney, 1992). Due to possible overlapping of the indicators, the most suitable individual indicators do not necessarily form the most efficient set of indicators (Marttunen, Haag, Belton, Mustajoki, & Lienert, 2019). Thus, finding and operationalizing coherent sets of indicators that meet all key—and partly conflicting—criteria is difficult, especially at the international level.…”

Section: Indicator Risks: a Proposal To Rethink Indicator Usagementioning

confidence: 99%

Risks of producing and using indicators of sustainable development goals

Lyytimäki

Salo

Lepenies

et al. 2020

Sustainable Development

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The Sustainable Development Goals (SDG) aim to provide humanity with a global roadmap to sustainability. Official SDG indicators have been intensively developed, and they have a prominent and pronounced role as a key monitoring and policy instrument. Furthermore, various complementary or alternative indicator sets have been introduced at the global, regional and national levels. This article focuses on the risks related to the national indicators. The analysis is based on experiences from the preparation processes of sustainable development indicators in Finland and insights from indicator professionals and stakeholders in Finland and Germany. The risks related to overuse, nonuse and misuse of indicators are analyzed from the perspectives of indicator contents, processes of production and communication and external context factors. Opportunities for avoiding different risks and improving the desired societal impacts and influences of indicator usage are discussed. The concept of risk is helpful in terms of empirical diagnosis and for formulating mitigation recommendations.

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Section: Indicator Risks: a Proposal To Rethink Indicator Usagementioning

confidence: 99%

Risks of producing and using indicators of sustainable development goals

Lyytimäki

Salo

Lepenies

et al. 2020

Sustainable Development

Self Cite

View full text Add to dashboard Cite

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“…Hierarchy building consists of thinking of important aspects of an objective and of the comprehensiveness of the aspects already identified (Keeney, 1992;Eisenführ et al 2010;Clemen and Reilly, 2013). Marttunen et al (2019) provide a comprehensive overview of methods to structure and simplify objectives hierarchies once they have been generated.…”

Section: Introductionmentioning

confidence: 99%

The need for unconventional value aggregation techniques: experiences from eliciting stakeholder preferences in environmental management

Reichert

Niederberger²,

Rey

et al. 2019

EURO Journal on Decision Processes

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“…The increasing complexity of MCDA problems, especially related to the growing number of criteria, has shown that their hierarchical structuring improves problem formulation and communication between stakeholders and DM [ 111 ]. This review found that the DSSs that recommend MCDA method(s) lack attention to this important capability, which indicates a valuable avenue for future research.…”

Section: Discussionmentioning

confidence: 99%

How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy

Cinelli

Kadziński

Gonzalez

et al. 2020

Omega

221

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Decision making is a complex task that involves a multitude of perspectives, constraints, and variables. Multiple Criteria Decision Analysis (MCDA) is a process that has been used for several decades to support decision making. It includes a series of steps that systematically help Decision Maker(s) (DM(s)) and stakeholders in structuring a decision making problem, identifying their preferences, and building a decision recommendation consistent with those preferences. Over the last decades, many studies have demonstrated the conduct of the MCDA process and how to select an MCDA method. Until now, there has not been a review of these studies, nor a proposal of a unified and comprehensive high-level representation of the MCDA process characteristics (i.e., features), which is the goal of this paper. We introduce a review of the research that defines how to conduct the MCDA process, compares MCDA methods, and presents Decision Support Systems (DSSs) to recommend a relevant MCDA method or a subset of methods. We then synthesize this research into a taxonomy of characteristics of the MCDA process, grouped into three main phases, (i) problem formulation, (ii) construction of the decision recommendation, and (iii) qualitative features and technical support. Each of these phases includes a subset of the 10 characteristics that helps the analyst implementing the MCDA process, while also being aware of the implication of these choices at each step. By showing how decision making can be split into manageable and justifiable steps, we reduce the risk of overwhelming the analyst, as well as the DMs/stakeholders during the MCDA process. A questioning strategy is also proposed to demonstrate how to apply the taxonomy to map MCDA methods and select the most relevant one(s) using real case studies. Additionally, we show how the DSSs for MCDA method recommendation can be grouped into three main clusters. This proposal can enhance a traceable and categorizable development of such systems.

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Methods to inform the development of concise objectives hierarchies in multi-criteria decision analysis

Cited by 42 publications

References 60 publications

Risks of producing and using indicators of sustainable development goals

Risks of producing and using indicators of sustainable development goals

The need for unconventional value aggregation techniques: experiences from eliciting stakeholder preferences in environmental management

How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy

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