Navigating the Complexity of HRM Practice: A Multiple-Criteria Decision-Making Framework DOI Creative Commons
Vuk Mirčetić, Gabrijela Popović, Svetlana Vukotić

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(23), P. 3769 - 3769

Published: Nov. 29, 2024

A myriad of diverse factors affect the contemporary business environment and all areas, causing organisations to innovate new models, or use innovations navigate complexity HRM practice successfully. Despite plenitude notable studies, a particular theoretical gap exists regarding innovation’s impact on practices understanding how multiple-criteria decision-making (MCDM) methods can be effectively applied in context human resource management (HRM) address important aspects successful prioritise considered alternative solutions. Recognising potential MCDM field highlighted possibility involving detecting most influential innovative defining rank companies that are applying them. The approach proposed here utilises CRITIC (CRiteria Importance Through Intercriteria Correlation) method PIPRECIA-S (Simple PIvot Pairwise RElative Criteria Assessment) for prioritising practices, COBRA (COmprehensive Distance Based RAnking) assessing under evaluation. research, which involved 21 respondent experts from 12 Republic Serbia, revealed employee participation is significant yields best results environment. Consequently, first-ranked company successfully met requirements presented.

Language: Английский

Advancing GIS-based suitability analysis of BtX, PtX, PBtX, and eBtX facilities using the fuzzy analytic hierarchy process DOI Creative Commons
Marcel Dossow, Mengxi Chen, H. Spliethoff

et al.

MethodsX, Journal Year: 2025, Volume and Issue: 14, P. 103194 - 103194

Published: Jan. 29, 2025

To address the urgent need for sustainable fuel production, this study proposes a novel methodology that integrates Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) techniques to identify optimal sites Biomass-to-X (BtX), Power-to-X (PtX), or hybrid (e-/PBtX) facilities. The proposed provides systematic quantitative approach evaluate location suitability, offering valuable insights spatial decision-making in production from BtX, PtX, e-/PBtX. CES-GIS-SAFAHP uses selected relevant geospatial data, which is processed derive criteria-specific datasets, such as spatially resolved energy density maps biomass-based systems combined wind solar datasets processes. These data are then subjected Fuzzy Analytic Hierarchy Process (FAHP), involves use of pairwise comparisons normalization assign weights criteria, ultimately resulting generation weighted overlay maps. results both weighed concurrently performed exclusion analysis, delineating areas fail meet key conditions constraints, produce final suitability map enabling identification plant locations based on their overall index. offers robust, framework optimization siting facilities with significant applications policy-makers, industry, researchers involved e-/PBtX scale-up. encompasses comprehensive …•Providing recommended list categorized into ``requisite,'' ``infrastructure,'' ``environmental'' tailored site selection.•Offering structured workflow deriving through combination GIS-based FAHP analysis.•Providing practical, replicable algorithm can guide users process, making it easier apply various geographic project contexts.

Language: Английский

Citations

0

The Single-Valued Neutrosophic Extension of the PIPRECIA Method DOI
Gabrijela Popović, Dragiša Stanujkić, Marko Mihić

et al.

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113271 - 113271

Published: Feb. 1, 2025

Language: Английский

Citations

0

The impacts of whole life cycle project management on the sustainable development goals DOI Creative Commons

Nannan Wang,

Naixiao Cui,

Shuangze Xue

et al.

Journal of Asian Architecture and Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: March 27, 2025

Language: Английский

Citations

0

Evaluating the sustainable Development Goals in higher education institutions using Multi-Criteria Decision Making/Analysis: calculating the weights of criteria with the Analytic Hierarchy Process DOI Creative Commons

Maria Kaloutsa,

Katerina Kabassi, Aristotelis Martinis

et al.

Sustainability Science Practice and Policy, Journal Year: 2025, Volume and Issue: 21(1)

Published: March 5, 2025

Language: Английский

Citations

0

An Application of the Interval Type-2 Fuzzy TOPSIS Method for the Selection of Project Managers DOI
Kemal Gökhan NALBANT

Engineering Management Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: May 2, 2025

Language: Английский

Citations

0

Fuzzy normalization-based Multi-Attributive Border Approximation Area Comparison DOI
Bartłomiej Kizielewicz, Jakub Więckowski, Wojciech Sałabun

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 141, P. 109736 - 109736

Published: Dec. 4, 2024

Language: Английский

Citations

2

Navigating the Complexity of HRM Practice: A Multiple-Criteria Decision-Making Framework DOI Creative Commons
Vuk Mirčetić, Gabrijela Popović, Svetlana Vukotić

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(23), P. 3769 - 3769

Published: Nov. 29, 2024

A myriad of diverse factors affect the contemporary business environment and all areas, causing organisations to innovate new models, or use innovations navigate complexity HRM practice successfully. Despite plenitude notable studies, a particular theoretical gap exists regarding innovation’s impact on practices understanding how multiple-criteria decision-making (MCDM) methods can be effectively applied in context human resource management (HRM) address important aspects successful prioritise considered alternative solutions. Recognising potential MCDM field highlighted possibility involving detecting most influential innovative defining rank companies that are applying them. The approach proposed here utilises CRITIC (CRiteria Importance Through Intercriteria Correlation) method PIPRECIA-S (Simple PIvot Pairwise RElative Criteria Assessment) for prioritising practices, COBRA (COmprehensive Distance Based RAnking) assessing under evaluation. research, which involved 21 respondent experts from 12 Republic Serbia, revealed employee participation is significant yields best results environment. Consequently, first-ranked company successfully met requirements presented.

Language: Английский

Citations

0