scholarly journals Prioritizing the Factor Weights Affecting Tourism Performance by FAHP

10.5772/57141 ◽  
2013 ◽  
Vol 5 ◽  
pp. 51 ◽  
Author(s):  
Quang Hung Do ◽  
Jeng Fung Chen
Keyword(s):  
Tourism Industry ◽  
Decision Makers ◽  
Limited Resources ◽  
Decision Making Process ◽  
Key Factors ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
The Hierarchical Structure ◽  
Hierarchy Process

The allocation of limited resources to effectively promote tourism is one of the most important issues in the tourism industry, especially in tough economic times. This paper seeks to investigate the relative importance of the key factors affecting tourism performance by applying the fuzzy analytic hierarchy process (FAHP) method. Specifically, the paper identifies the factors and sub-factors of the hierarchical structure from the literature relating to tourism performance. The framework based on the AHP method is then proposed to determine the relative weights of the factors and sub-factors in contributing to tourism performance. An application case related to the Vietnamese context is used to illustrate the proposed framework. The results of this study consolidated the tourism theory and suggested recommendations and solutions for the Vietnamese tourism industry. The proposed framework could be used by a group of decision-makers to achieve a consensus, as well as deal with uncertainty in the decision-making process. The findings of the study may serve as a tool for assistance for planners in improving the efficiency of tourism performance.

scholarly journals MULTI CRITERIA DECISION MAKING – RANKING AND PROMOTING EMPLOYEES

2019 ◽  
Vol 31 (5) ◽  
pp. 1235-1241
Author(s):  
Marina Badarovska Mishevska
Keyword(s):  
Decision Making ◽  
Decision Problem ◽  
Decision Makers ◽  
Decision Making Process ◽  
Specific Situation ◽  
Mathematical Tool ◽  
Analytic Hierarchy ◽  
The Right ◽  
Term Performance ◽  
Hierarchy Process

The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. The method was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. It has particular application in group decision making and is used around the world in a wide variety of decision situation. Rather than prescribing a "correct" decision, the AHP helps decision makers choose one that best suits their goal and their understanding of the problem. The technique provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. Decision making is the choice of one alternative, from two or more, to which the course of the activity is directed and the problem is solved. The decision-making process is a rational attempt by the manager to achieve the goals of the organizational unit. The decision-making process can be thought of as a "brain and nervous system" of an enterprise. Decisions are made when a person wants things to be different in the future. Given each specific situation, making the right decisions is probably one of the most difficult challenges for managers. Managers in day-to-day work deliver programmed and unprogrammed decisions that solve simple or complex problems. Simple decisions have an impact on the short-term performance of the enterprise, and complex decisions have an impact on the long-term future and success of the enterprise. Users of the AHP first decompose their decision problem into a hierarchy of more easily comprehended sub-problems, each of which can be analyzed independently. Once the hierarchy is built, the decision makers systematically evaluate its various elements by comparing them to each other two at a time, with respect to their impact on an element above them in the hierarchy. The AHP converts these evaluations to numerical values that can be processed and compared over the entire range of the problem. In this article, it is explained the application of the AHP method in order to evaluate and promote employees in the enterprise "X" with several criteria. The obtained results enable the manager to evaluate the employees in an objective way and make an objective decision for their promotion. Its application for selecting the best among employees, in their assessment and promotion, allows managers to use a specific and mathematical tool to support the decision. This tool not only supports and qualifies decisions, it also allows managers to justify their choice, as well as to simulate possible results.

scholarly journals Exploring the Determinants of Hot Spring Tourism Customer Satisfaction: Causal Relationships Analysis Using ISM

2019 ◽  
Vol 11 (9) ◽  
pp. 2613
Author(s):  
Chuanmin Mi ◽  
Yetian Chen ◽  
Chiung-Shu Cheng ◽  
Joselyne Lucky Uwanyirigira ◽  
Ching-Torng Lin
Keyword(s):  
Customer Satisfaction ◽  
Success Factors ◽  
Structural Model ◽  
Hot Spring ◽  
Food Service ◽  
Tourism Industry ◽  
Limited Resources ◽  
Key Factors ◽  
Interpretive Structural Modeling ◽  
Factors Affecting

To stand out in the hot spring tourism industry, customer satisfaction has become the crucial issue for competitiveness. A company cannot implement several customer satisfaction improvement practices altogether with limited resources. Researchers advocate that companies should evaluate the relationships among success factors and explore determinants for their improvement implementation. However, such a relationship evaluation has not yet been adequately performed. This paper intends to explore the determinants for improving hot spring customer satisfaction. Adopting grounded theory (GT) and using data collected from websites, Ctrip and Qunar, the first 12 key factors for customer satisfaction were identified. Then, their interrelationships were assessed by 15 experts, and interpretive structural modeling (ISM) was employed to analyze the interrelationships and the driving and dependence power among key factors. The results show that “Environment Quality”, “Special Resource”, “Convenience”, “Food”, Service Quality”, and “Facilities” were the decisive factors affecting customer satisfaction. The findings offer important implications for hot spring management and practice. The contribution of this study is using a novel approach to establish a hierarchical structural model for comprehensive understanding of factor relationships that influence hot spring tourists’ satisfaction and to explore decisive factors which can help hot spring practitioners to better plan and design effective improvement strategies to attract potential new consumers and retain their current consumers, especially with limited resources.

scholarly journals Analysis on Cognitive Behaviors and Prevention of Human Errors of Coalmine Hoist Drivers

2020 ◽  
Vol 10 (5) ◽  
pp. 663-670
Author(s):  
Pengye Zhu ◽  
Linhui Sun ◽  
Yunfeng Song ◽  
Liao Wang ◽  
Xiaofang Yuan ◽  
...  
Keyword(s):  
Cognitive Process ◽  
Process Model ◽  
Cognitive Errors ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Human Errors ◽  
Factors Affecting ◽  
Cognitive Behaviors ◽  
Two Stages ◽  
Hierarchy Process

Human errors are commonplace among hoist drivers in the hoisting task of coalmines. To reduce these errors and prevent accidents, it is necessary to identify the features of cognitive behaviors and main cognitive errors of the hoist drivers. This paper analyzes the accident cases and operating flow of coalmine hoist, and establishes a cognitive process model of coalmine hoist drivers. Further, the cognitive behaviors and functions of the drivers were analyzed stage by stage, revealing the distributions of their main cognitive behaviors and functions. It is learned that most coalmine hoist accidents concentrate in two stages: lifting, and operation monitoring. The operating processes in the two stages were further deliberated. The specific operations were extracted as the influencing factors of human errors, and the importance of each index was calculated through analytic hierarchy process (AHP). The research results provide a theoretical reference for identifying the key factors affecting the human errors of the operations by coalmine hoist drivers, and shed new light on how to prevent such errors.

scholarly journals Rekam Jejak Dosen Sebagai Model Pengambilan Keputusan Dalam Pemilihan Dosen Berprestasi

2015 ◽  
Vol 2 (1) ◽  
pp. 65
Author(s):  
Safrizal Safrizal
Keyword(s):  
Analytic Hierarchy Process ◽  
Teaching Method ◽  
Decision Makers ◽  
Social Awareness ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Complex Situation ◽  
Track Record ◽  
Decision Taking ◽  
Hierarchy Process

Sistem pendukung keputusan merupakan sistem informasi komputer yang digunakan oleh para pembuat keputusan untuk mendapatkan hasil keputusan terbaik dari beberapa alternatif keputusan sehingga memberikan hasil akhir yang tepat dan akurat. Salah satu metode pengambilan keputusan dalam situasi yang kompleks adalah dengan menggunakan metode Analytic Hierarchy Process (AHP). Di STMIK Potensi Utama rekam jejak dosen dilakukan setiap semester yang meliputi administrasi dosen, metode proses belajar mengajar, kegiatan dosen, penelitian dan pengabdian masyarakat yang dilaksanakan oleh dosen. Sulitnya menemukan dosen yang mempunyai prestasi pada rekam jejak tersebut, maka penulis melakukan penelitian dalam hal pemanfaatan rekam jejak dosen sebagai keputusan dalam pemilihan dosen berprestasi menggunakan metode AHP. Hasilnya adalah Administrasi Dosen (0.513 atau 51,3%), Metode PBM (0.261 atau 26,1%), Seminar/Kegiatan Dosen (0.063 atau 6,3%), Penelitian (0.129 atau 12,9%), Pengabdian Masyarakat (0.033 atau 3,3%). Kriteria Administrasi Dosen merupakan kriteria terpenting diantara kriteria yang lain. Sedangkan hasil evaluasi rekam jejak dosen yang memiliki bobot prioritas yang paling tinggi dalam pemilihan dosen berprestasi adalah prioritas pertama dimiliki oleh Dosen A dengan bobot 0,349 atau 34,9%, prioritas kedua dimiliki oleh Dosen A dengan nilai bobot 0,0337 atau 33,7% dan Dosen B memiliki perioritas ketiga dengan nilai bobot nilai 0,314 atau 31,4%.Decision support system is an interactive information system used by the decision makers in order to obtain the best decision result among some other alternatives. One of the decision taking methods in complex situation is Analytic Hierarchy Process (AHP). At STMIK POTENSI UTAMA is done regularly every semester including lecture’s administration learning teaching method, lecture’s activities, research and social awareness done comprehensively by lecture’s. However, it is difficult to find the lectures who have full filled those qualification, the written to write about a lecturer track record as model of decision taking in selecting lecturer performance by applying AHP Method. The finding are Lecture’s Administration (0.513 or 51,3%), PBM Method (0.261 or 26,1%), seminary/lecture’s Activities (0.063 or 6,3%), Research (0.129 or 12,9%), and social awareness (0.033 or 3,3%). It implies that lecture’s administration criteria is the most important among others. While the evaluation of lecture’s track recording that have high priority in lectures a with 0,349 or 34,9%, the second priority goes on lectures A with 0,0337 or 33,7% and lectures B is the third priority with 0,314 or 31,4%.

scholarly journals Estimating Suitable Starch Extraction from Mango Seeds Using Analytical Hierarchy Process (AHP) Method

2020 ◽  
Vol 1010 ◽  
pp. 471-476
Author(s):  
Nur'Aishah Ahmad Shahrim ◽  
Norshahida Sariffudin ◽  
Hafizah Hanim Mohd Zaki ◽  
Ahmad Zahirani Ahmad Azhar
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Extraction Method ◽  
Extraction Methods ◽  
Decision Making Process ◽  
Distillation Method ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Mango Seed ◽  
Hierarchy Process

The mango seed was extracted to starch via distillation, alkaline, sedimentation and centrifugation methods. Based on the analysis, different starch extraction methods resulted in different proximate composition, physicochemical, morphological, structural, functional and thermal properties of starch. As such, it is necessary to choose a suitable starch extraction method to fabricate starch-based film for packaging application. Therefore, in this study, Analytic Hierarchy Process (AHP) method was applied for performing the decision-making process. Based on the AHP method, it was found that, the best alternative for starch-based films is distillation method.

Using Multicriteria Futuristic Fuzzy Decision Hierarchy in SWOT Analysis

2015 ◽  
Vol 6 (4) ◽  
pp. 38-56 ◽  
Author(s):  
Sunil Pratap Singh ◽  
Manoj Kumar Chauhan ◽  
Preetvanti Singh
Keyword(s):  
Swot Analysis ◽  
External Environment ◽  
Tourism Industry ◽  
Decision Making Process ◽  
Internal Environment ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Significant Factors

In this paper, a quantitative multicriteria futuristic fuzzy decision hierarchy (MFFDH)-based SWOT (strengths, weaknesses, opportunities and threats) analysis has been carried out to determine priorities among significant factors related to tourism's internal and external environment. In MFFDH model, the fuzzy logic is combined with analytic hierarchy process (AHP) to overcome the uncertainty in decision making process. The utilization of MFFDH with SWOT yields analytically determined priorities for the factors included in SWOT analysis and makes them more commensurable. The hybrid method has been applied in connection with a case study on tourism industry in Agra (India) and result indicates that the factors related to tourism's internal environment (strengths and weaknesses) are relatively more important than external factors (opportunities and threats). In addition, strengths group turned out to have the highest priorities while threats group have the lowest priorities.

Developing a Competitive Strategy for the Port of Qingdao: An Application of the Analytic Hierarchy Process to Ports in Bohai Bay

2011 ◽  
Vol 97-98 ◽  
pp. 659-663
Author(s):  
Yan Chang Lv ◽  
Kevin Cullinane ◽  
Ping Lu
Keyword(s):  
Analytic Hierarchy Process ◽  
Bohai Bay ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Strategic Measures ◽  
Container Handling ◽  
Main Factors ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Container handling in the ports of the Bohai Bay region is analyzed from the perspective of the competitiveness of the Port of Qingdao. The Analytic Hierarchy Process (AHP) method is applied to this problem based on the main factors affecting the competitiveness of container handling. The results of the analysis suggest that the Port of Qingdao possesses both current and potential future competitive advantage. The paper concludes with some strategic measures and suggestions for boosting the competitiveness of the Port of Qingdao.

scholarly journals Investment Evaluation of Tourism Industry: A Case Study of Coastal Recreation Areas in Hualien Taiwan

2016 ◽  
Vol 9 (12) ◽  
pp. 1
Author(s):  
Maw-Cherng Lin ◽  
Ming-Wei Yang
Keyword(s):  
Carrying Capacity ◽  
Tourism Industry ◽  
Public Infrastructure ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Tourist Attractions ◽  
Recreation Areas ◽  
Tourism Resources ◽  
Hierarchy Process

<p>An increase in the number of tourists can boost the economic prosperity of tourist attractions; over-development or over-utilization of a tourist attraction will lead to the consumption of tourism resources and reduce recreational quality. This study used relevant studies on ecotourism and recreational carrying capacity and applied the Delphi-fuzzy analytic hierarchy process to identify the critical factors affecting the recreational carrying capacity of the Hualien Qixingtan coastal recreational areas, including 4 primary factors, namely, recreational environment, natural landscape, coastal animals and plants, and cultural assets, and 13 secondary factors, such as public infrastructure. The research results can be provided as reference for relevant government authorities and operators to develop measures taking into account both the resource conservation and recreational management of coastal recreational areas.</p>

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