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      • Customers' Behavioral Intentions in the Service Industry: An Empirical Study of Taiwan Spa Hotels

        Lu, Iuan-Yuan,Shiu, Jerry Yuwen The Korean Society for Quality Management 2009 The Asian Journal on Quality Vol.10 No.3

        In this study we identified the process how consumers chose a particular hotel for spa service which was appropriate for themselves under such intensely competition among spa hotels in Taiwan, and the key factors that affected consumers' behavior or purchasing decisions. Previous studies have indicated that the creation of outstanding consumer value was for spa hotels to achieve sustainable financial and market success. A conceptual model of perceived value and six hypotheses based on previous literatures review had been developed in this study to identify the factors considered by customers while they were making the serious purchasing decisions. The conceptual model in this study provided a framework how the consumers might come up with a solution toward the process of resources allocation or the decision making. The economical deduction was adopted to provide the adequate rationality and somewhat the causality of the conceptual model, and the analysis of correlation was used to verify the hypotheses proposed. The results suggested that the service-related decision was almost in accordance with the product-related decision, but it was questionable for perceived value for money to be a significant mediator of perceived quality, price and risk and willingness-to-buy. The findings have important implications for understanding how consideration sets of service-related consumption are formed and how the recent downsizing economy affects their attitude in "leisure service consumption" toward the selection of spa hotels.

      • Robust Parameter Design via Taguchi's Approach and Neural Network

        Tsai, Jeh-Hsin,Lu, Iuan-Yuan The Korean Society for Quality Management 2005 The Asian Journal on Quality Vol.6 No.1

        The parameter design is the most emphasized measure by researchers for a new products development. It is critical for makers to achieve simultaneously in both the time-to-market production and the quality enhancement. However, there are difficulties in practical application, such as (1) complexity and nonlinear relationships co-existed among the system's inputs, outputs and control parameters, (2) interactions occurred among parameters, (3) where the adjustment factors of Taguchi's two-phase optimization procedure cannot be sure to exist in practice, and (4) for some reasons, the data became lost or were never available. For these incomplete data, the Taguchi methods cannot treat them well. Neural networks have a learning capability of fault tolerance and model free characteristics. These characteristics support the neural networks as a competitive tool in processing multivariable input-output implementation. The successful fields include diagnostics, robotics, scheduling, decision-making, prediction, etc. This research is a case study of spherical annealing model. In the beginning, an original model is used to pre-fix a model of parameter design. Then neural networks are introduced to achieve another model. Study results showed both of them could perform the highest spherical level of quality.

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