Fuzzy TOPSIS Application to Rank Determinants of Employee Retention in Construction Companies: South Korean Case

Park, Chol-Jung; Kim, Soo-Yong; Nguyen, Minh Van

doi:10.3390/su13115787

Cited by 14 publications

(8 citation statements)

References 60 publications

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“…In another study, Behrouz et al developed a multi-layer Triangular Fuzzy AHP approach to analyze different indicators of sustainable factories [20]. Other similar studies include using TOPSIS in Manufacturing Processes [21], optimization of an abrasive water jet (AWJ) by TOPSIS [22], application of a multi-objective dynamic model in sustainable development [23], and ranking the variables that affect employee retention [24].…”

Section: Ranking Methods For Decision-makingmentioning

confidence: 99%

A Novel Geo-Based Ranking Method for Selection of the Most Suitable NBSs

Pirouz

Palermo

Turco

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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There are many types of Nature-Based Solutions (NBS), such as intensive/extensive green roofs, green walls, retention ponds, Bioretention cells, treatment wetlands, river restoration, urban parks, and infiltration trenches. Each could contribute to one or more sustainable development goals as some can improve the ecosystem, some improve water resources, or mitigate urban flooding. Implementing the most suitable NBS in each area needs multidisciplinary perspective analysis by considering circular economy principles and the available resources that exhibit the importance of ranking the possible NBS that could be geo-based. Therefore, the main purpose of this study is to develop a novel ranking method for selecting the best NBSs in each area, which depends on plenty of geo-based variables such as climate type, water resource, economy, environment, Sustainable Development Goals (SDGs) and so forth. The developed dynamic geo-based ranking method has been validated through case-based assessment in different regions, confirming the proposed method’s effectiveness. In conclusion, the developed method could rank the selected NBS in each location, and according to geo-based information, it could show the implementation of the most suitable NBS, thus improving their role in the circular city.

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Section: Ranking Methods For Decision-makingmentioning

confidence: 99%

A Novel Geo-Based Ranking Method for Selection of the Most Suitable NBSs

Pirouz

Palermo

Turco

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…C.J. Park et al used the FUZZY TOPSIS method to examine the factors responsible for employee retention in the construction sector [ 48 ] (Rank Determinants of Employee Retention in Construction Companies), while H. Jaber et al investigated the A Framework to Evaluate Project Complexity [ 49 ]. Jellali et al [ 50 ] carried out a sustainable configuration of the Tunisian olive oil supply chain using a FUZZY TOPSIS-based approach (Sustainable Configuration of the Tunisian Olive Oil Supply Chain Using a FUZZY TOPSIS-Based Approach).…”

Section: Methodsmentioning

confidence: 99%

Experiencing Stress among Different Professional Groups in the Context of Their Age

Bartkowiak

Krugiełka

Kostrzewa-Demczuk

et al. 2022

IJERPH

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The subject of this article is the identification of coping with stress and experiencing stress in three groups of the same number of people, different in terms of their occupation: professional soldiers of the Polish Army with the rank of an officer, people employed in managerial positions, and specialists working in independent positions in the context of their age. The analysis of the literature and the research carried out refer to the concept of sustainable development. This indicates the need to take care of limiting excessive stress and improving the mental well-being of all employees, regardless of the demographic characteristics and nature of the work performed. In order to identify possible differences, three types of questionnaires meeting the criteria of psychometric correctness were used (CISS, KPS, PSS-10). The obtained results were subjected to statistical analysis using the FUZZY TOPSIS method based on multi-criteria decision-making and the fuzzy logic, which was first applied in the social science. The obtained data confirmed some differentiation within the three studied groups, as well as the modifying role of age in coping and experiencing stress.

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“…Several techniques are used in MCDM, including min-max, max-min, ELECTRE, PROMETHEE, TOPSIS, fuzzy TOPSIS, compromise programming, analytic hierarchy process (AHP), fuzzy AHP, data envelopment analysis, and goal programming, that can be used to compare and rank multiple options before choosing the best-fit option. Fuzzy decision-making strategies have been drawing increasing interest among these methods for the answers to location problems that involve data that is ambiguous, partial, or has linguistic factors [16].…”

Section: Of 23mentioning

confidence: 99%

Spatial Prediction of Landslide using Hybrid Multi-Criteria Decision-Making Methods: A Case Study, Saqqez-Marivan Mountain Road

Shahabi¹,

Tavakolifar²,

Alizadeh³

et al. 2023

Preprint

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Landslides around the main roads in the mountains not only cause fatal events but also cause ecosystem damage, including land degradation. This study aims to map the susceptibility of the landslides around the Saqqez-Marivan main rod of Kurdistan province, Iran, using ensemble Fuzzy logic with Analytic Network Process (Fuzzy Logic-ANP; FLANP), and with TOPSIS (Fuzzy Logic-TOPSIS; FLTOPSIS). A total of 100 landslides were first recognized by field surveys and then they were randomly divided into a 70% dataset (70 locations) and a 30% dataset (30 locations), respectively, for training and validating the methods. Eleven landslide conditioning factors, including slope, aspect, elevation, lithology, land use, distance to fault, distance to a river, distance to road, soil type, curvature, and precipitation were used. The performance of the methods was checked by the areas under the receiver operating curve (AUCROC). Results concluded that the prediction accuracy based on validating datasets were, respectively, 0.882 and 0.918 for FLANP and FLTOPSIS methods. Our findings demonstrated that although both models were known as promising techniques, the FLTOPSIS method had a better capacity for predicting the susceptibility of landslides in the studied area. Therefore, the susceptibility map developed by the FLTOPSIS method can be used for the proper management of areas with high landslide potential and also for managers and planners during the implementation of land allocation and development projects, especially in mountainous areas.

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Fuzzy TOPSIS Application to Rank Determinants of Employee Retention in Construction Companies: South Korean Case

Cited by 14 publications

References 60 publications

A Novel Geo-Based Ranking Method for Selection of the Most Suitable NBSs

A Novel Geo-Based Ranking Method for Selection of the Most Suitable NBSs

Experiencing Stress among Different Professional Groups in the Context of Their Age

Spatial Prediction of Landslide using Hybrid Multi-Criteria Decision-Making Methods: A Case Study, Saqqez-Marivan Mountain Road

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