Improving tourism policy implementation – The use of hybrid MCDM models

Liu, Chui-Hua; Tzeng, Gwo‐Hshiung; Lee, Ming‐Huei

doi:10.1016/j.tourman.2011.05.002

Cited by 206 publications

(124 citation statements)

References 32 publications

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“…This method is used as the basic concept of the TOPSIS method (Hwang, Yoon 1981) on Euclidean distances to the positive ideal (this research adopts the aspiration level) and the negative ideal (this research adopts the worst level) solutions, and TOPSIS used the class Euclidean distance function (Yu 1973), as based the concept of the positive ideal and negative ideal solutions; then Opricovic and Tzeng (2004) found that the TOPSIS method cannot be used in ranking or selection, and proposed the VIKOR method to replace the TOPSIS method, by comparing the preference distance of all real alternatives in order to stay close to the positive-ideal point; however, this research adopted the basic idea of the traditional thinking of the VIKOR method to replace staying close to the aspiration level (Liu et al 2012;Chen 2015;Hu et al 2015). The gap concept measures the proximity to the positive ideal point in order to modify the aspiration level point.…”

Section: Modified Vikor Methodsmentioning

confidence: 99%

Improving China’s Regional Financial Center Modernization Development Using a New Hybrid Madm Model

Jian-guo

Tzeng

2017

Technological and Economic Development of Economy

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Abstract. The regional financial center is the propeller of regional economic development. Regional financial center modernization, however, has been the predominant propulsion of economic sustainability. Decisions related to regional financial center modernization development are inherent problems of multiple attribute decision-making (MADM), and strategically important to the government. The purpose of this paper is to set up a regional financial center improvement model for modernization development, as based on a hybrid MADM model, which addresses the main causal-effect factors and amended priorities in order to strengthen ongoing planning. This paper adopts a new hybrid MADM model combined with the DEMATEL technique to construct an influential network relationship map (INRM) and determined the influential weights of DANP. Then, a modified VIKOR method using influential weights is applied to measure and integrate the performance gaps from each criterion into dimensions, as well as the overall criterion for evaluating and improving the modernization development of the regional financial center, as based on INRM. Finally an empirical case study using data from the Guangzhou regional financial center is carried out as an example to demonstrate the suitability of the proposed hybrid MADM model for solving real-world problems. The results show the priorities for improvement, as based on the degree of the effect and impact of the dimensions, as follows: first is making "government policy", second is enforcing "financial infrastructure and safety", next is formulating "financial institutions and human resources", and finally "financial service".

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Section: Modified Vikor Methodsmentioning

confidence: 99%

Improving China’s Regional Financial Center Modernization Development Using a New Hybrid Madm Model

Jian-guo

Tzeng

2017

Technological and Economic Development of Economy

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“…Therefore, this was more suitable than traditional applications for solving real-world applications. Thus, the procedures for establishing an INRM [81][82][83][84][85][86] entail the following steps.…”

Section: Constructing the Inrm Of Mobile Health Care Based On The Demmentioning

confidence: 99%

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Liu¹,

Yang²,

Liu³

et al. 2017

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IntroductionMobile health care is an important aspect of electronic medicine that involves using mobile devices (e.g., mobile phones, tablet computers, and personal digital assistants) to provide medical services and health information to patients [1]. Health care faces numerous problems, including high medical costs, restricted coverage, complex medical procedures, and uneven distribution of resources [2]. Mobile health care can help to reduce medical costs and waiting times and improve the efficiency of medical resources use [3]. Mobile health care involves the following categories [4]: (1) Mobile phone applications such as Chun Yu Yi Sheng, which acts as an information exchange platform linking doctors and patients, and comprehensive mobile health care platforms that hospital service providers can apply for appointment registrations, payments, and medical alerts. (2) The collection of users' medical data through wearable devices or mobile intelligent terminals for health monitoring. For example, Kangkang launched a portable intelligent sphygmomanometer that can dynamically monitor blood pressure over a 24-hour period and automatically send data to a corresponding server. Users can view their 24-hour blood pressure analysis report through WeChat. (3) Diagnosis systems that connect with the Internet of Things (IoT). For example, an integrated diagnosis system developed by German researchers can transmit medical data to smart phones through Bluetooth technology. Smartphones applications can then process these data for reference and diagnosis.With the development of mobile networks, many countries have entered the 4G era and benefit from continuously improving mobile communication networks and innovation in software and hardware technology. Abstract: Identifying the key influence factors of mobile health care adoption is a key issue. We established an evaluation index system for consumer adoption and verified the effectiveness of our model by using a DDANPMV model. This model comprises three parts: (1) the decision making trial and evaluation laboratory (DEMATEL) technique, which is used to establish an influence network relationship map at both the "dimensions" and "criteria" levels; (2) a DEMATEL-based analytic network process (ANP; DANP), which determines the interrelationships and influential weights among the criteria; and (3) a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which applies the influence weights obtained through DANP to performance gaps regarding consumer perception. VIKOR thereby evaluates and improves performance gaps with the aims of satisfying consumer needs, achieving continuous improvement, and enabling sustainable product development. The main innovation of this method is the construction of the DDANPMV model, which integrates the DEMATEL, DANP, and modified VIKOR approaches to examine consumers' adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option b...

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“…A decision-making trial and evaluation laboratory (DEMATEL) is used to identify complex relationships and to form a network relation map (NRM). Then, the DANP (DEMATELbased ANP) method is used to calculate the influential weights of criteria to solve problems of dependence and feedback among criteria and alternatives (Liu et al, 2012). Then, effects of causal relationships between dimensions and criteria for entrepreneurship policy in tourism are evaluated, and relationship between dimensions and criteria are illustrated by DEMETEL technique.…”

Section: Introductionmentioning

confidence: 99%

Tourism entrepreneurship policy: a hybrid MCDM model combining DEMATEL and ANP (DANP)

Jafari-Moghadam¹,

Zali²,

Sanaeepour³

2017

10.5267/j.dsl

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Small and Medium Enterprises (SME's), and Entrepreneurial businesses (EB) play an important role in tourism since tourism has increasingly become the largest economic sector. Entrepreneurships known as a mean of economic development and policymakers are looking for creating a competitive and dynamic entrepreneurial economy. The aim of this study is to present a model for entrepreneurship tourism policy by using entrepreneurship development framework, which interacts with economic development. To this purpose, entrepreneurship policy dimensions are weighted and prioritized by tourism entrepreneurs, tourism policymakers and experts using decision-making trial and evaluation laboratory (DEMATEL) technique and Analytical Network Process (ANP) technique. First, DEMATEL technique is used to identify complex relationships, and to form a network relationship map. Then, ANP technique is used to calculate the influential weights of policy criteria. Results show that policymakers for entrepreneurship development in tourism need to consider basic requirements factors. In addition, they should improve efficiency enhancer criteria as well as innovation driver criteria. Also, the relationship among dimensions and their influences on each other are illustrated. Using the capabilities of this method, we can determine the casual relationships between dimensions and criteria and identify priorities for policy.Growing Science Ltd. All rights reserved. 7

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Improving tourism policy implementation – The use of hybrid MCDM models

Cited by 206 publications

References 32 publications

Improving China’s Regional Financial Center Modernization Development Using a New Hybrid Madm Model

Improving China’s Regional Financial Center Modernization Development Using a New Hybrid Madm Model

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Tourism entrepreneurship policy: a hybrid MCDM model combining DEMATEL and ANP (DANP)

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