Fuzzy Set Theory Based Decision Model for Determining Market Position and Developing Strategy for Hospital Service Quality

Wu, Wann Yih; Hsiao, Shih‐Wen; Kuo, Hsing Ping

doi:10.1080/1478336042000183587

Cited by 57 publications

(32 citation statements)

References 22 publications

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“…The SERVQUAL scale has been widely applied to measure service quality in different service contexts, including tourism management (Tsaura et al, 2002), healthcare (Michael et al, 2001;Wu et al, 2004), retailing (Dabholkar et al, 1996;Parikh, 2005), university services (Ham, 2003) and banking (Wang et al, 2003). The SERVQUAL scale has also been widely tested for validity and reliability Taylor, 1992, 1994).…”

Section: Measurement Of Service Qualitymentioning

confidence: 98%

“…The theory also allows mathematical operators and programming to apply to the fuzzy domain. Most studies applying fuzzy set theory deal with quality control (Chen and Weng, 2002;Ufek and Ahmet, 2002;Wu et al, 2004), performance assessment (Kahraman et al, 2003;Shee et al, 2003;Lin et al, 2005), quality measurement (Zhou et al, 2001;Tsaura et al, 2002;Asan et al, 2004), and product design (Hsiao, 1998).…”

Section: Basic Theory Of Fuzzy Setsmentioning

confidence: 99%

“…The hierarchy structure adopted in this investigation as a means of dealing with the appraisal of department stores is shown in Figure 4. This hierarchy is largely based on the research of Wu et al (2004). Level 1 represents overall service quality performance.…”

Section: Process Of the Fuzzy Linguistic Frameworkmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores

Tsai

Liang

2006

Qual Quant

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Section: Measurement Of Service Qualitymentioning

confidence: 98%

Section: Basic Theory Of Fuzzy Setsmentioning

confidence: 99%

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Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores

Tsai

Liang

2006

Qual Quant

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show abstract

“…A great number of researchers and scholars, such as Chien and Tsai (2000), Wu, Hsiao and Kuo (2004), and Hsu and Lin (2005), employed triangular fuzzy numbers to represent semantic variables, so they were used in this study accordingly.…”

Section: Questionnaire Data Processing and Fuzzy Semantic Statisticsmentioning

confidence: 99%

The investigation into the influence of the features of furniture product design on consumers’ perceived value by fuzzy semantics

Lee

2014

SAJBM

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This study employed fuzzy theory to investigate the influence of the features of furniture product design on the fuzzy semantics of Taiwanese consumers' perceived value in new product design and development in hopes of providing product designers or developers with a reference to new product design and development. Furniture designers or manufacturers can use u(x), the fuzzy membership function value of the model for investigating the fuzzy semantic relation between the features of furniture product design and consumers' perceived value, to evaluate the fuzzy semantics of consumers' perceived value, and they can also employ the fuzzy semantic mean equation, namely = ∑ ( + 2 + ) /4 , to transform the research data into fuzzy semantics.In this study, all the consumers agreed that the features of furniture product design were significantly correlated to the fuzzy semantics of consumers' perceived value. In terms of the fuzzy semantics of the perceived value, the consumers with different genders, ages, education backgrounds, and incomes had different opinions about the features of furniture product design, and there were significant differences between the variables. In short, this study is helpful to understand consumers' demand for products as well as the development of consumer-oriented products, enhance their purchase intention, and improve corporate performance and market competitiveness.*To whom all correspondence should be addressed. Research background and motivesDue to consumers rapidly changed demand in the environment full of drastic competition, so consumers' demand and the value of furniture products were very important to enterprises when they were performing furniture product design, development, and marketing. Adner and Levinthal (2001) mentioned that product development becomes a way of maintaining product value. Zedtwitz and Gassmannb (2002) stated that products enterprises with an important R&D department are either in a strong dominant design position in its main technologies or their principal market is helpful to fit consumer's demand and satisfaction. They also pointed out that technologyoriented R&D product development departments will be employed to develop new products. Product market and consumer's demand will influence research, technology, and product development. Hence, Zedtwitz's and Gassmannb's study is to focus on how technology-oriented R&D product development departments to transform marketing-oriented in order to fit consumer's demand and consumers' perceived value. Therefore, contemporary enterprises should change concepts of their technology-oriented product development concepts into marketing-oriented product development concepts. Enterprises should understand consumers' preference and demand for furniture products as well as the methods for customer-based and market-based product development. Since new product development and design are closely related to consumers' behavior, enterprises should increase consumers' purchase intention by enhancing their perceived value of produc...

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“…Traditional statistical methods have so many problems with these limitations. In fact, statistical methods are not able to investigate the following two major problems (Wu et al ,2004): 1) Describing the dimensions of service quality in heterogeneous matrixes in order to have an overall evaluation of effectiveness of hospitals in comparison with other hospitals and getting the final grade of each hospital as a result.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of service quality by using fuzzy MCDM: A case study in Iranian health-care centers

Afkham¹,

Abdi²,

Komijan³

2012

MSL

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Service quality plays an important role in health care systems since hospitals are responsible for people's lives. This study presents an effective approach for evaluating and comparing service qualities of four hospitals. Service quality consists of different attributes and many of them are intangible and difficult to measure. Therefore, we propose a fuzzy method to resolve the ambiguity of the concepts, which are associated with human judgments. SERVQUAL model is used to evaluate the respondents' judgments of service quality and multi attribute decision making approach is implemented for the comparison among hospitals. The paper use analytical hierarchy process (AHP) for obtaining criteria weight and TOPSIS for ranking the cases.

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Fuzzy Set Theory Based Decision Model for Determining Market Position and Developing Strategy for Hospital Service Quality

Cited by 57 publications

References 22 publications

Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores

Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores

The investigation into the influence of the features of furniture product design on consumers’ perceived value by fuzzy semantics

Evaluation of service quality by using fuzzy MCDM: A case study in Iranian health-care centers

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