scholarly journals A Study on the Strategic Decision Making Used in the Revitalization of Fishing Village Tourism: Using A’WOT Analysis

2021 ◽  
Vol 13 (13) ◽  
pp. 7472
Author(s):  
Sangmin Lee ◽  
Donghan Kim ◽  
Sunwoo Park ◽  
Wonseok Lee
Keyword(s):  
Decision Making ◽  
Hybrid Approach ◽  
Strategic Decision ◽  
Analytic Hierarchy ◽  
Fishing Village ◽  
Fishing Villages ◽  
Policy And Strategy ◽  
Global Weight ◽  
Current Context ◽  
Analytic Hierarchy Process Method

As society has developed, fishing villages that have relied solely on traditional fishing have found themselves on the verge of extinction. Therefore, efforts are being made to transform fishing villages into areas with various functions including recreation, tourism, and education. In this regard, the main purpose of this study is to analyze the relative importance and priorities of the multi-criteria decision-making (MCDM) process used in the revitalization of fishing village tourism. To this end, the A’WOT (AHP/SWOT) hybrid approach, developed in combination with the SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis and the AHP (Analytic Hierarchy Process) method, was used to determine the significant factors. The results of the study demonstrated that the ‘opportunities’ and ‘strengths’ areas are relatively important when it comes to the priority of sustainable development. We also identified the high importance in terms of global weight of both ‘Increased demand for leisure, rest and ecotourism’ and ‘Possession of natural resources of diverse and distinctive fishing villages by sea and region’ as sustainable ways to revitalize fishing communities. This study demonstrates that with appropriate data and an applicable systematic process, the A’WOT approach can adequately show where intervention is most needed. The study shows that the application of tourism in the current context has the potential to approach the issue of fishing village tourism. Furthermore, this study is meaningful in that it quantifies the importance of fishing village tourism attributes by using a systematic approach, and it concludes with suggesting where the emphasis should be placed on policy and strategy.

scholarly journals Applying the Multi-Criteria Decision-Making Approach for Lawyer Selection from Law Firms’ Perspective in China

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1370
Author(s):  
Chin-Tsai Lin ◽  
Ching-Chiang Yeh ◽  
Fan Ye
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Hybrid Approach ◽  
Law Firms ◽  
Multi Criteria Decision Making ◽  
Human Resource Managers ◽  
Law Firm ◽  
Analytic Hierarchy ◽  
Resource Managers ◽  
Hierarchy Process

This study proposes a novel evaluation model for lawyer selection incorporating the lawyer’s backbone leadership attitude employing the hybrid multi-criteria decision-making (MCDM) approach. In the proposed approach, the lawyer’s backbone leadership attitude is employed as an evaluation factor in the evaluation model for lawyer selection from law firms’ perspective. In this paper, a hybrid approach based on the Delphi technique and analytic hierarchy process (AHP) is proposed to manage qualitative and quantitative criteria for selecting the best alternative lawyer for law firms in China. Finally, a law firm in China is carried out to verify the feasibility of the proposed approach. Based on the result, the backbone leadership does provide valuable information in the evaluation model for lawyer selection. The results also revealed that the proposed approach would help law firms and human resource managers to understand and develop strategies to hire a lawyer.

scholarly journals Decision support system for selecting tourist attractions using fuzzy analytic hierarchy process

2021 ◽  
Vol 10 (3) ◽  
pp. 1252-1261
Author(s):  
Christa Bire ◽  
Daniel Kasse ◽  
Rio Bire
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Tourist Attractions ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

The selection of tourist attractions is a multi-criteria decision making problem, which requires time and careful consideration to make the right decision. The proper destination selection based on human needs in a particular moment affects satisfaction in traveling. This research aims to create a decision support system for selecting tourist attractions (a case study in Kupang City) using fuzzy analytic hierarchy process method. Users can input the priority scale of 9 human need attributes and then be directed to the system’s recommendations of tourist attractions. This paper also compares fuzzy analytic hierarchy process method with the original analytic hierarchy process calculations. The result shows that both methods can be a solution for multi-criteria decision making, but the fuzzy analytic hierarchy process method performs a more optimal solution for cases with uncertainty in comparisons between elements.

Supporting decision-making in service supplier selection using a hybrid fuzzy extended AHP approach

2017 ◽  
Vol 23 (1) ◽  
pp. 196-222 ◽  
Author(s):  
Giustina Secundo ◽  
Donato Magarielli ◽  
Emilio Esposito ◽  
Giuseppina Passiante
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Hybrid Approach ◽  
High Tech ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process

Purpose Service supplier selection is a multi-criteria decision-making (MCDM) problem assuming a strategic role for the competitiveness of high-tech manufacturing companies. Nevertheless, especially for service quality evaluation, there is little empirical evidence of the practical usefulness of MCDM methodologies. Aiming to cover this gap between theoretical approaches and empirical applications, the purpose of this paper is to propose a fuzzy extended analytic hierarchy process (FEAHP) approach for service supplier evaluation. Design/methodology/approach A hybrid approach which combines some of the strengths of the analytic hierarchy process (AHP) and of the fuzzy set theory is presented, as organized into five steps. A case study is used to evaluate the applicability in a real company context. Findings The usability of the approach is demonstrated in an aerospace company for solving the supplier selection problem of a business software whose applications are still in infancy: a Test Data Management System (TDMS). The illustrative application contains both “general” criteria to be used for other service supplier selection contexts as well as service-specific criteria related to software selection. Research limitations/implications Even if the application regards the selection of a software supplier, the methodology can be generically extended to other services’ selection in complex manufacturing industries through the personalization of some criteria. Practical implications Implications can be derived both for business managers involved into the decision-making process and for suppliers identifying the most promising features of software quality. Originality/value The originality consists in the combination into a hybrid approach of the strong points of the AHP with the fuzzy set; the inclusion of multiple perspectives of decision criteria for service supplier selection, basically the “software product” and “supplier” ones; a real empirical application to test and demonstrate the efficacy and the practical utility of the proposed approach.

scholarly journals Scaling Scientometrics: Dimensions on Google BigQuery as an Infrastructure for Large-Scale Analysis

2021 ◽  
Vol 6 ◽  
Author(s):  
Daniel W. Hook ◽  
Simon J. Porter
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Research Policy ◽  
Research Strategy ◽  
Strategic Decision ◽  
Research Areas ◽  
Large Scale Analysis ◽  
Policy And Strategy ◽  
Access To Data ◽  
Cloud Technologies

Cloud computing has the capacity to transform many parts of the research ecosystem, from particular research areas to overall strategic decision making and policy. Scientometrics sits at the boundary between research and the decision-making, policy-making, and evaluation processes that underpin research. One of the biggest challenges in research policy and strategy is having access to data in a way that allows for analysis that can respond in an iterative way to inform decisions. Many decisions are based on “global” measures such as benchmark metrics that are hard to source and hence are often nonspecific or outdated. The use of cloud technologies may be promising in addressing this area of providing data for research strategy and policy decisions. A novel visualisation technique is introduced and used as a means to explore the potential for scaling scientometrics by democratising both access to data and compute capacity using the cloud.

scholarly journals Decision Modeling for Manufacturing Sustainability with Fuzzy Analytic Hierarchy Process

2017 ◽  
Vol 20 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Lanndon A. Ocampo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Analytic Hierarchy Process ◽  
Manufacturing Strategy ◽  
Analytic Hierarchy ◽  
Priority List ◽  
Hierarchy Process

This article intends to integrate sustainability and the classical manufacturing strategy (MS) into a coherent hierarchical decision-making framework that identifies the content of a sustainable MS using fuzzy analytic hierarchy process (fuzzy AHP). Instead of using the traditional fundamental scale of the AHP, linguistic variables with equivalent triangular fuzzy numbers (TFNs) are used to elucidate judgement of elements in pairwise comparisons. AHP, as a widely adopted tool in multiple criteria decision making (MCDM) problems, effectively handles the subjectivity and comprehensiveness of decision-making complexity that is structured hierarchically. Domain experts in MS and sustainability were asked to elicit judgement in AHP pairwise comparison approach. Results show the content strategy of the nine decision categories in manufacturing that addresses sustainability and competitiveness. A priority list of decisions is also presented which may guide decision-makers in resource allocation, medium- and long-range planning, and in formulating strategic initiatives. The main contribution of this article is the formulation of a sustainable MS from a hybrid approach that captures uncertainty and subjectivity in decision-making.

Quantitative Analysis of the Strategic Decision on Graduate Employment

2012 ◽  
Vol 482-484 ◽  
pp. 70-74
Author(s):  
Yue Qian Liu ◽  
Yu Ting Xu
Keyword(s):  
College Graduates ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Strategic Decision ◽  
Analytic Hierarchy ◽  
Labour Relations ◽  
Employment System ◽  
Comprehensive Evaluation Method ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

With the reform of employment system for graduates，college graduates have more decision-making power when choose jobs．Besides，the labour relations with the men of contract provide premise and condition for graduates pursuing maximum benefits．The process of graduates employment-decision is a kind of rational behavior which should weigh gain and loss carefully．Facing with a variety of opportunities, graduates are generally at a loss how to make a strategic decision．Aiming at such situation，we should first analyse the factors that influence job-decision objectively，then apply the Analytic hierarchy process method to decide the weight of each factors，finally，we can use the comprehensive evaluation method to choose a satisfied job．

scholarly journals Performance Measurement and Ranking Organization’s Suppliers Based on Risk Factors Using a Hybrid Approach of FMEA and Multi-Criteria Decision Making Techniques: A Case Study

2018 ◽  
Vol 12 (10) ◽  
pp. 149
Author(s):  
Davoud Jafari ◽  
Mehrzad Lohrasbi
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Failure Modes ◽  
Assessment Tool ◽  
Hybrid Approach ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preventive Actions ◽  
Industrial Group ◽  
Supply Chain Risks

Risk occurance in the supply chain is unavoidable. Basically, a great portion of these risks comes from suppliers. Timely identification of the risks and using appropriate preventive actions to reduce the probability and impact of their occurrence play a significant role in increasing organizational efficiency, improving product quality and satisfying customers. Developing a systematic and efficient mechanism is a prerequisite for properly identifying and assessing the supply chain risks and making correct decision. Failure Modes and Effects Analysis (FMEA) is a known engineering technique and risk assessment tool to define, identify, and eliminate potential failures and errors in the products, processes, projects, and services. In this paper, FMEA approach is combined with multi-criteria decision-making techniques to make a systematic mechanism for assessing supply chain risks and prioritizing candidate flour suppliers in Sahar bread industrial group. In the proposed model, Analytic Hierarchy Process (AHP) is used to determine the risk’s weights and VIKOR method is applied for assessing and ranking the suppliers. Results shew that among the identified risks, “cost risk group” with the weight "0.43" is the most important. Therefor the company officials have to adopt appropriate policies, carefully, to deal with this risk. Moreover, final evaluation of flour suppliers in the company indicates that according to all criteria, the fourth supplier achieves the highest priority and it is selected as the most qualified flour supplier for the company.

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