Global Innovation Indicators analysed by multicriteria decision

Silva, Marcela do Carmo; Gavião, Luiz Octávio; Gomes, Carlos Francısco Sımões; Lima, Gílson Brito Alves

doi:10.14488/bjopm.2020.040

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…Next, the AHP method appears, with 21 occurrences [6, 49-52, 55, 62, 64, 66, 67, 71, 77, 84, 90, 106, 121, 123, 127, 129, 134, 135]. In the third place, the fuzzy method [55, 58, 63, 72, 77, 87, 89-91, 96, 101, 114, 122, 124, 127, 129, 134] and TOPSIS method [50,51,55,59,67,80,84,90,97,103,104,108,118,125,127,129,134], with 17 occurrences each. In addition to those mentioned, the methods of the PROMETHEE family stand out with 9 occurrences [52,77,88,89,93,94,97,115,133].…”

Section: Figure 11 Word Cloudmentioning

confidence: 99%

A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis

Steffen,

de Oliveira,

Trojan

2024

JIMD

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This study investigates the application of Multi-Criteria Decision Analysis (MCDA) methods to the classification of research papers within a Systematic Literature Review (SLR). Distinctions are drawn between compensatory and non-compensatory MCDA approaches, which, despite their distinctiveness, have often been applied interchangeably, leading to a need for clarification in their usage. To address this, the methods of Entropy Weight Method (EWM), Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) were utilized to determine the parameters for ranking papers within an SLR portfolio. The source of this ranking comprised publications from three major databases: Scopus, ScienceDirect, and Web of Science. From an initial yield of 267 articles, a final portfolio of 90 articles was established, highlighting not only the compensatory and non-compensatory classifications but also identifying methods that incorporate features of both. This nuanced categorization reveals the complexity and necessity of selecting an appropriate MCDA method based on the dataset characteristics, which may exhibit attributes of both approaches. The analysis further illuminated the geographical distribution of publications, leading contributors, thematic areas, and the prevalence of specific MCDA methods. This study underscores the importance of methodological precision in the application of MCDA to systematic reviews, providing a refined framework for evaluating academic literature.

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Section: Figure 11 Word Cloudmentioning

confidence: 99%

A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis

Steffen,

de Oliveira,

Trojan

2024

JIMD

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“…An MCDA can be defined as a set of techniques that are designed to search for several alternatives within multicriteria and conflicting objectives. The criteria must be consistent with the decision's proposed result and alternatives must have the same conception and definition to be ranked in a MCDA tool (Silva et al and 2020). Over the years several MCDA methods have been proposed (Goodwin et Wright, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…The PROMETHEE method involves concepts and parameters that have some physical or economical interpretation that is easy for most Decision Makers (DM) to understand. It is based on their "net flow", which means the difference in how much an alternative a is better than the other one b, and how much an alternative b is better than one a (Silva et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Methodology for Selection of a Personal Electric Vehicle

Gomes

Sousa

Pereira

et al. 2023

BJO&PM

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A methodology that can support the decision process for selecting an Electric Vehicle (EV) is crucial. Considering the quantity, diversity, and complexity of existing EV models, their advantages and disadvantages, and people's increasing concern for sustainability, selecting and buying a personal EV appropriate to one's needs and requirements is not a simple task. Currently, criteria such as price, consumption per 100 km, range, comfort, brand, safety, and technology can be used to analyse available EV models. In this context, the decision-making process can be supported by the Multicriteria Decision Analysis (MCDA), “a method that clearly structures and evaluates complex problems with several alternatives, conflicting criteria, and complex scenarios. The novelty of this paper is to present a hybrid MCDA approach, combining two powerful methods (AHP and PROMETHEE) into a single framework to assist EV selection by any given person who has no multicriteria knowledge. A survey was conducted to define relevant criteria for a private person selecting an EV. The approach was validated for EV selection, considering the available offer within a target value, based solely on available public data, and excluding qualitative criteria. The paper discusses a case study whereby the proposed approach, using both quantitative and qualitative criteria, assists a decision-maker in selecting an EV from a set of alternatives, validated by the decision-maker, proving the importance and relevance of supporting the decision-making process.

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Western Balkan countries’ innovation as determinant of their future growth and development

Fedajev,

Panić,

Živković

2024

Innovation: The European Journal of Social Science Research

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Global Innovation Indicators analysed by multicriteria decision

Abstract: Goal: This paper analyses how European countries of Global Innovation Indicators (GII) present in the ranking by multicriteria support aid analysis.

Cited by 7 publications

References 35 publications

A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis

A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis

Multicriteria Methodology for Selection of a Personal Electric Vehicle

Western Balkan countries’ innovation as determinant of their future growth and development

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