CODAS HFLTS Method to Appraise Organizational Culture of Innovation and Complex Technological Changes Environments

Sansabas-Villalpando, Verónica; Pérez-Olguín, Iván Juan Carlos; Pérez-Domínguez, Luis; Rodríguez‐Picón, Luis Alberto; Méndez‐González, Luis Carlos

doi:10.3390/su11247045

Cited by 16 publications

(13 citation statements)

References 82 publications

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“…On the other hand, the advantage of the CODAS method over the other methods from the same group is the ability to evaluate the elements of the problem by applying more than one type of distance, which significantly increases the accuracy of results and allows fine differentiation between closely ranked alternatives [79]. CODAS is a relatively new method, but in a short period of time it has been applied, either alone or in combination with some other methods, to solve problems in various areas, such as locating dismantling centers in reverse logistics [80], evaluating organizational culture in the field of innovation and sustainable development [81], selecting staff [82], selecting suppliers [83,84], selecting renewable energy sources [85], etc.…”

Section: An Overview Of the Methods That Make Up The Mcdm Modelmentioning

confidence: 99%

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

et al. 2020

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Globalization and decentralization of production generate the intensive growth of goods and transport flows, mostly performed by the maritime transport. Ports, as the main nodes in the global logistics networks, are becoming congested, space for their expansion limited, and traffic in their hinterland congested. As a solution to these and many other hinterland-transport-related problems stands out the development of dry port (DP) terminals. Selection of their location is one of the most important strategic decisions on which depends their competitiveness in the market and the functionality of the logistics network. Accordingly, the evaluation and selection of locations for the development of the DP in accordance with the requirements of various stakeholders is performed in this paper, as a prerequisite for the establishment of an ecological, economic, and socially sustainable logistics network in the observed area. To solve this problem, a new hybrid model of multi-criteria decision-making (MCDM) that combines Delphi, AHP (Analytical Hierarchy Process), and CODAS (Combinative Distance-based Assessment) methods in a grey environment is developed. The main contributions of this paper are the defined model, the problem-solving approach based on finding a compromise solution, simultaneous consideration of the environmental, economic, and social sustainability of the DP concept and its implementation in the regional international markets. The applicability of the approach and the defined MCDM model is demonstrated by solving a real-life case study of ranking the potential DP locations in the Western Balkans region. Based on the obtained results, it is concluded that in the current market conditions, it would be most realistic to open three DP terminals, in Zagreb, Ljubljana, and Belgrade.

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Section: An Overview Of the Methods That Make Up The Mcdm Modelmentioning

confidence: 99%

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

et al. 2020

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Section: Sdg 9: Industry Innovation and Infrastructurementioning

confidence: 99%

“…A summary of the reviewed papers related to SDG 9 issues [79][80][81][82][83][84][85][86][87][88][89][90][91][92][93] is presented in Table 8. In most articles concerning SDG 9, MCDM approaches were applied to evaluate the industry's sustainability performance in national contexts to overcome barriers to achieve this SDG [80,81,84,85,87,89]. By way of illustration, Wang et al [80] used Grey Principal Component Analysis (GPCA) to assess the industrial sector under the pressure of climate change adaptation and mitigation in China's Capital Economic Circle.…”

Section: Sdg 9: Industry Innovation and Infrastructurementioning

confidence: 99%

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Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021

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Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

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“…Bolturk and Karasan 5 defined the CODAS method which was used in the investment of a hospital. Sansabas‐Villalpando and others 6 noted that organizational culture could be evaluated by the hesitant fuzzy linguistic term set (HFLTS)‐CODAS method. Dahooie and others 7 used the IVIF‐CODAS method to select the appropriate system for cloud computing implementation.…”

Section: Introductionmentioning

confidence: 99%

Model‐based evaluation for online shopping platform with probabilistic double hierarchy linguistic CODAS method

Lei

Wei

Chen

2021

Int J of Intelligent Sys

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With the rapid advancement of Internet technology, the number of online shopping platforms has been increasing. Poor online shopping platform causes all sorts of trouble among the people despite convenience. A comprehensive and reasonable evaluation of online shopping platforms is of great significance. Therefore, this study establishes an online shopping platform evaluation model based on probability double linguistic‐combinative distance‐based assessment (PDHL‐CODAS). First, the notion of probabilistic double hierarchy linguistic term sets (PDHLTSs) is reviewed. Then the distance formulas of PDHLTS are defined. Thereafter, cumulative prospect theory is used to generate the cumulative weight of probabilistic double hierarchy linguistic information. Additionally, the integrated determination of objective criteria weights method is introduced to calculate the objective weight. PDHL‐CODAS method is established and applied to the evaluation of online shopping platforms. Finally, unlike the available probabilistic double hierarchy linguistic multiple attribute decision making methods, the defined method is scientifically effective.

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CODAS HFLTS Method to Appraise Organizational Culture of Innovation and Complex Technological Changes Environments

Cited by 16 publications

References 82 publications

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

Model‐based evaluation for online shopping platform with probabilistic double hierarchy linguistic CODAS method

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