scholarly journals Evaluating the Performance of Taiwan Homestay Using Analytic Network Process

2012 ◽  
Vol 2012 ◽  
pp. 1-24 ◽  
Author(s):  
Yi-Chung Hu ◽  
Jen-Hung Wang ◽  
Ru-Yu Wang
Keyword(s):  
Service Quality ◽  
Business Performance ◽  
Fuzzy Theory ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Evaluation Framework ◽  
Operational Model ◽  
Network Process ◽  
Key Aspects ◽  
Operation And Management

Homestay industry in Taiwan is not only thriving, but also its operation is moving gradually toward elaboration strategy and in a specialized-operation manner these years. Nevertheless, the evaluation frameworks of the earlier studies were sporadically constructed from an overall perspective of homestays. Moreover, the functions, operational model, and natures of homestays are dissimilar to those of hotels; therefore, if the evaluation criteria of homestays employ the ones of hotels, it would appear to be incoherent and incompatible. This study has accordingly developed and constructed a set of evaluation indicators tailor-made for homestay sector through discussion of literatures and interviewing experts so that the evaluation framework would be more comprehensive and more practical. In the process of interviewing experts, it was discovered that dependences lay on the aspects and criteria. Consequently, this research chose the ANP (analytic network process) to get the weights and, further, to acquire the homestay business performance through fuzzy theory. The result reveals, as regards key aspects, homestay proprietors and customer groups both weight the surroundings of the building and features, service quality, operation, and management most. In respect to overall homestay performance, customer groups consider it has reached the satisfactory level.

Proposing a Quantitative Model Towards Building Trust in B2C E-Commerce

2018 ◽  
Vol 9 (1) ◽  
pp. 36-53 ◽  
Author(s):  
Mahmoud Zamani ◽  
Changiz Valmohammadi
Keyword(s):  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Quantitative Model ◽  
Important Indicator ◽  
Building Trust ◽  
Proposed Model ◽  
Network Process ◽  
Interdependent Relationships ◽  
Novel Model ◽  
Fuzzy Analytic Network Process

This article aims to develop a novel model for ranking the parameters that influence the building of trust on online shopping in the context of Iran. A multi-criteria decision making (MCDM) model based on a fuzzy analytic network process (ANP) method is developed to systematically clarify the interdependent relationships among the evaluation criteria of trust and then, scientifically evaluate the feasible parameters and rank the priorities of the trust. The results of the proposed model reveal that under the characteristics of trustor (TR) sub-factors, the most important indicator which can affect the trust is propensity to trust. Furthermore, regarding the characteristics of trustee (TE) sub-factors, data quality with a priority of 0.064 is the most important indicator. Also, in the environmental factors (EN) sub-factors, promotions and advertising with a weight of 0.151 is the most significant indicator.

Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry

2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Content Type ◽  
Shoe Industry ◽  
Sport Shoe ◽  
Network Process ◽  
Quantitative Basis

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

Assessment of supplier quality performance of computer manufacturing industry by using ANP and DEMATEL

2015 ◽  
Vol 27 (1) ◽  
pp. 122-134 ◽  
Author(s):  
Hsiu Yuan Hu ◽  
Shao-I Chiu ◽  
Tieh-Min Yen ◽  
Ching-Chan Cheng
Keyword(s):  
Manufacturing Industry ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Integrated Model ◽  
Performance Rating ◽  
Quality Performance ◽  
Content Type ◽  
Network Process ◽  
Relationship Of ◽  
The Impact

Purpose – The purpose of this paper is to establish an integrated model of Analytic Network Process (ANP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL), to assist enterprises to process supplier quality performance rating and comparison and find the core improvement direction to create the value of all supply chain members. Design/methodology/approach – This study used the integrated model to process supplier quality performance rating and comparison, which not only improved the order-winners and qualifiers and continued to increase supplier quality performance, but resolved the complex and difficult cause-effect relation issue to find out core improvement items. The cases of Taiwanese industrial computer manufacturers were used to describe the application and benefits of this methodology. Findings – The results recommended that the improvement item of supplier A shall focus on design and quality conformance. The recommended improvement item and order for supplier B is design, delivery reliability and delivery speed. This study established ANP and DEMATEL evaluation models, and expanded the application field in the supplier performance evaluation. Originality/value – The ANP model is used to calculate the importance of the evaluation criteria, and the DEMATEL method is introduced to consider the impact of the casual relationship of evaluation items and to adjust the importance of the evaluation item, and to solve the complex and difficult practical causation issue.

AN INTEGRATED INTERPRETIVE STRUCTURAL MODELING–FUZZY ANALYTIC NETWORK PROCESS–BENEFITS, OPPORTUNITIES, COSTS AND RISKS MODEL FOR SELECTING TECHNOLOGIES

2011 ◽  
Vol 10 (05) ◽  
pp. 843-871 ◽  
Author(s):  
AMY H. I. LEE ◽  
HE-YAU KANG ◽  
CHAO-CHENG CHANG
Keyword(s):  
New Product ◽  
Structural Modeling ◽  
Analytic Network Process ◽  
Appropriate Technology ◽  
Evaluation Framework ◽  
Technology Evaluation ◽  
Interpretive Structural Modeling ◽  
Network Process ◽  
Multiple Experts ◽  
Fuzzy Analytic Network Process

Technology evaluation has been increasingly important because of the pressing needs of new product introduction in a competitive global market. To select the most appropriate technology, a firm needs to have a robust technology evaluation framework to evaluate several technology candidates based on multiple criteria and evaluated by multiple experts. Thus, this paper presents an integrated model for evaluating various technologies for New Product Development (NPD). A network that takes into account the benefits, opportunities, costs, and risks (BOCR) aspects of different technologies is constructed first, and interpretive structural modeling (ISM) is applied next to determine the interrelationships among the factors. Finally, fuzzy analytic network process (FANP) is used to facilitate the evaluation process of decision makers under an uncertain environment with interrelated factors. The proposed model is applied in a flat panel manufacturer in selecting the most suitable panel technology.

scholarly journals A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1597
Author(s):  
Chun-Ho Chen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Building Materials ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Topsis Method ◽  
Entropy Weight ◽  
Suitable Alternative ◽  
Multi Criteria Evaluation ◽  
Network Process

This article will tell you how to combine “entropy” in the model to reduce the bias of multi-criteria evaluation. Subjective weights are usually determined by decision makers based on their professional background, experience and knowledge, and other factors. The objective weight is obtained by constructing an evaluation matrix of the information based on the actual information of the evaluation criteria of the scheme, and obtained through multi-step calculations. Different decision-making methods are based on different weight types. Considering only one of the two weights often leads to biased results. In addition, in order to establish an effective supply chain, buyers must find suitable merchants among suppliers that provide quality products and/or services. Based on the above factors, it is difficult to choose a suitable alternative. The main contribution of this paper is to combine analytic network process (ANP), entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to construct a suitable multi-criteria decision (MCDM) model. By means of ANP-entropy weights to extend the TOPSIS method, ANP-entropy weights are used to replace subjective weights. A supplier selection decision-making model based on ANP-entropy TOPSIS is proposed. At last, the sensitivity analysis shows that, taking the selection of building materials suppliers as an example, the hybrid ANP-entropy TOPSIS method can effectively select suitable suppliers.

scholarly journals An analysis of the critical factors that affect the competitive advantages and developmental strategies of leisure farms in Taiwan

2012 ◽  
Vol 58 (No. 10) ◽  
pp. 467-481 ◽  
Author(s):  
M.-S. Lee
Keyword(s):  
Service Quality ◽  
Value Chain ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Critical Factors ◽  
Ecological Resources ◽  
Fuzzy Delphi ◽  
Network Process ◽  
Fast Development ◽  
Development And Utilization

Leisure farms in Taiwan are currently undergoing a fast development. The utilization of distinctive strategies to create successful operational competitiveness is becoming the guiding policy of enterprises for their future development. This study adopts the value chain perspective to develop criteria for different dimensions and to develop a strategic hierarchical structure by using the fuzzy Delphi method. Through the FANP (Fuzzy Analytic Network Process) method, this study discovers the critical factors influencing the competitive advantages of leisure farms in Taiwan: (1) the uniqueness of the landscape and ecological resources, (2) the richness of agricultural resources, (3) the attractiveness of the landscape and ecological resources, (4) service quality, (5) the convenience of the accommodation, (6) the provision of education and guiding services, and the like. Finally, according to the research results of the study, the authors make suggestions on the corresponding developmental strategies of leisure farms, including (1) creating the characteristics of a leisure farm through the development and utilization of the farm’s internal and surrounding environmental resources and (2) perceiving the tourists’ needs and improving the service quality. With the suggestions made and the reference data concluded in this study, the authors expect to enhance effectively the current competitive advantages of leisure farms.  

scholarly journals Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Gülşen Akman ◽  
Hamit Pışkın
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Ideal Solution ◽  
Manufacturing Companies ◽  
Green Performance ◽  
Network Process ◽  
Green Suppliers

Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components.

scholarly journals AN INTEGRATED MODEL FOR EXTENDING BRAND BASED ON FUZZY ARAS AND ANP METHODS

2014 ◽  
Vol 15 (3) ◽  
pp. 403-423 ◽  
Author(s):  
Mahmoud Zamani ◽  
Arefeh Rabbani ◽  
Abdolreza Yazdani-Chamzini ◽  
Zenonas Turskis
Keyword(s):  
Perceived Risk ◽  
Evaluation Criteria ◽  
Brand Extension ◽  
Analytic Network Process ◽  
Design Quality ◽  
Parent Brand ◽  
Proposed Model ◽  
Network Process ◽  
Decision Making Model

Brand extension is one of the most popular strategies in marketing. This is due to the fact that consumers usually take into account the brand first because it indirectly reflects the design, quality, and functions. According to the significant role of brand in creating benefit and diminishing risk for a new product, this study intended to develop a novel model for selecting the most appropriate strategy in brand extension. However, there are a number of criteria influencing the possible strategies, and they often are interdependent. Therefore, a multi-criteria decision making model based on Analytic Network Process and Additive Ratio Assessment methods has been developed to systematically clarify the interdependent relationships among the evaluation criteria of brand extension and then, scientifically evaluate the feasible strategies and rank the priorities of brand extension strategies. The results of the proposed model show that “Production cost” is the most important factor, followed by “Quality of parent brand” and “Perceived risk” while “Ice cream” is the highest satisfaction of brand extension.

Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach

2008 ◽  
Vol 12 (4) ◽  
pp. 13-22 ◽  
Author(s):  
Mohd. Nishat Faisal ◽  
Bilal Mustafa Khan
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Advertising Agency ◽  
Product Service ◽  
Proposed Model ◽  
Network Process ◽  
Product Personality ◽  
Mcdm Method

Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.

A study on the key success factors of service quality for international hotels

2014 ◽  
Vol 64 (Supplement-2) ◽  
pp. 25-37
Author(s):  
Wan-Yu Chang
Keyword(s):  
Service Quality ◽  
Success Factors ◽  
Analytic Network Process ◽  
Tourism Industry ◽  
Service Industries ◽  
Questionnaire Response ◽  
Key Success Factors ◽  
International Tourist ◽  
Network Process ◽  
Tourism Services

With Taiwan ROC’s economic growth, the importance of service industries has gradually increased. Tourism services, as a comprehensive undertaking with multiple objectives, contribute greatly to the foreign exchange earnings of the country. Specifically, international hotels, which provide accommodation, catering, shopping, socializing, committee rooms and recreation, play a crucial role in the tourism industry. The current study adopted the Delphi method and offered an anonymous channel for conveying opinions. After repetitive consultations, summarizations and revisions, the analytic network process (ANP) principles for the study were finally constructed. The subjects of the study were clients of international tourist hotels in the Taipei area. In total, 250 questionnaires were distributed, and 176 valid questionnaires were collected, at a questionnaire response rate of 70%. As the results demonstrated, the most significant dimension was “Responsiveness” (weight = 0.238): which accounted for 23.8% of the overall weights. Other dimensions were also important: “Assurance” (weight = 0.217), “Reliability” (weight = 0.205), “Empathy” (weight = 0. 183), and “Tangibles” (weight = 0.157). The research results showed that “Responsiveness” was of the greatest importance for service quality in international tourist hotels. The data compiled from the overall weights of evaluation indicators of the service quality for the international hotels showed that, among the 16 evaluation indicators, the top five indexes were ranked, based on importance, as follows: service willingness, expertise, responsiveness, reliability, and cordiality.

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