scholarly journals An integrated SWOT–extended PIPRECIA model for identifying key determinants of tourism development: The case of Serbia

2021 ◽  
Vol 61 (2) ◽  
pp. 23-40
Author(s):  
Gabrijela Popović ◽  
Dragiša Stanujkić ◽  
Predrag Mimović ◽  
Goran Milovanović ◽  
Darjan Karabašević ◽  
...  
Keyword(s):  
Decision Making ◽  
Systematic Approach ◽  
Group Decision ◽  
Tourism Development ◽  
Integrated Model ◽  
Organization Management ◽  
Main Determinants ◽  
Criteria Importance ◽  
Importance Assessment

This paper proposes a new integrated model based on SWOT and extended PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) that offers a systematic approach to strategic planning in tourism. The applicability of the proposed integrated model is demonstrated through a case study defining the main determinants of tourism development in Serbia. The result emphasizes the strategy Improving the organization, management, and enhancement of tourism development as the highest priority for implementation. The model facilitates decision-making in tourism, and its key advantages are its suitability for application in group decision-making and its simplicity.

scholarly journals A Novel Integrated Interval Rough MCDM Model for Ranking and Selection of Asphalt Production Plants

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 269
Author(s):  
Bojan Matić ◽  
Stanislav Jovanović ◽  
Milan Marinković ◽  
Siniša Sremac ◽  
Dillip Kumar Das ◽  
...  
Keyword(s):  
Decision Making ◽  
Solution Method ◽  
Group Decision ◽  
Asphalt Mixture ◽  
Asphalt Production ◽  
Rough Model ◽  
Criteria Importance ◽  
Autonomous Province ◽  
Importance Assessment ◽  
Selection Of

Asphalt production plants play an important role in the field of civil engineering, but also in the entire economic system since the construction of roads enables uninterrupted functioning within it. In this paper, the ranking of asphalt production plants on the territory of the Autonomous Province of Vojvodina has been performed. The modern economy needs contemporary models and methods to solve complicated MCDM problems and, for these purposes, it has been developed an original Interval Rough Number (IRN) Multi-criteria decision-making (MCDM) model that implies an extension of two methods belonging to the field with interval rough numbers. After forming a list of eight most significant criteria for assessing the efficiency of asphalt production plants, the Interval Rough Number PIvot Pairwise RElative Criteria Importance Assessment (IRN PIPRECIA) method was developed to determine the significance of the criteria. A total of 21 locations with asphalt mixture installation were considered. For that purpose, seven asphalt production plants were included, and for their ranking, the IRN EDAS (Evaluation based on Distance from Average Solution) method was created. The aim of this paper is to develop a novel interval rough model that can be useful for determining the efficiency of asphalt production plants. Averaging in group decision-making (GDM) for both methods was performed using an IRN Dombi weighted geometric averaging (IRNDWGA) aggregator. The obtained results show that (A15) Ruma (SP)–Mačvanska Mitrovica–Zasavica has the best characteristics out of the set of locations considered in this study. However, Alternatives A6 and A19 are also variants with remarkably good characteristics since there is very little difference in values compared to the first-ranked alternative. Also, the obtained results have shown that the developed model is applicable, which is proven through a comparative analysis.

scholarly journals Facility Location Selection for B-Schools in Indian Context: A Multi-Criteria Group Decision Based Analysis

Axioms ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 77 ◽  
Author(s):  
Sanjib Biswas ◽  
Dragan Pamucar
Keyword(s):  
Decision Making ◽  
Facility Location ◽  
Group Decision ◽  
Educational Institutions ◽  
Strategic Decisions ◽  
Location Selection ◽  
Selection Decision ◽  
Criteria Importance ◽  
School Selection ◽  
Importance Assessment

Facility location is one of the critical strategic decisions for any organization. It not only carries the organization’s identity but also connects the point of origin and point of consumption. In the case of higher educational institutions, specifically B-Schools, location is one of the primary concerns for potential students and their parents while selecting an institution for pursuing higher education. There has been a plethora of research conducted to investigate the factors influencing the B-School selection decision-making. However, location as a standalone factor has not been widely studied. This paper aims to explore various location selection criteria from the viewpoint of the candidates who aspire to enroll in B-Schools. We apply an integrated group decision-making framework of pivot pairwise relative criteria importance assessment (PIPRECIA), and level-based weight assessment LBWA is used wherein a group of student counselors, admission executives, and educators from India has participated. The factors which influence the location decision are identified through qualitative opinion analysis. The results show that connectivity and commutation are the dominant issues.

Group Decision Model Based on Ordered Weighted Distance to Aid Decisions on Logistics

2018 ◽  
Vol 26 (02) ◽  
pp. 233-254 ◽  
Author(s):  
Jose Leao E Silva Filho ◽  
Danielle Costa Morais
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Decision Model ◽  
Group Decision ◽  
Decision Rules ◽  
Decision Makers ◽  
Weighted Distance ◽  
Model Based ◽  
Decision Making Model

This paper presents a group decision-making model using a distance aggregator based on Ordered Weighted Distance (OWD) which offers a solution that can reduce disagreement between decision makers (DMs). This paper discusses decision rules and sets out measures to evaluate compensatory effects that have a bearing on DMs’ opinions. The model uses formulations of distances to reveal the differences in opinion among DMs and discusses the meanings of distance and the information presented by each DM. Finally, a case study of a logistics problem is used to illustrate how the model is applied.

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