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This paper explores the relationships among experiential authenticity, the dimensions of last-chance attachment (last-chance dependence, last-chance identity, last-chance affect and last-chance social bonding) and the dimensions of experiential relationship quality (experiential trust, experiential satisfaction and experiential loyalty). A convenience sample of 505 tourists in Malé, Banana Reef, Artificial Beach and Sun Island of the Maldives was surveyed. The results indicate (a) a positive effect of experiential authenticity on last-chance dependence, last-chance identity, last-chance affect and last-chance social bonding, respectively; (b) positive effects of last-chance dependence, last-chance identity and last-chance affect on experiential satisfaction; (c) a positive effect of experiential satisfaction on experiential trust; and (d) positive effects of both experiential trust and experiential satisfaction on experiential loyalty. The implications of this study for academics and fast-disappearing destination management are discussed. [ABSTRACT FROM AUTHOR]

The purpose of this study is to elaborate the structural relationships among the experiential quality dimensions, experiential trust, emotional attachment, experiential image, switching experience, experiential satisfaction, and experiential loyalty from the green perspective. The study findings are based on structural equation modeling (SEM) analysis of a convenience sample of 560 customers at one green restaurant in Taipei City, Taiwan. The findings show that investing resources in an increase in the experiential quality dimensions and a decrease in green switching experience is useful to enhance green experiential trust, green emotional attachment, green experiential image, green experiential satisfaction, and green experiential loyalty. [ABSTRACT FROM AUTHOR]

The purpose of this research is to gain an empirical understanding of airline passengers’ green switching intentions. A conceptual research model is used as a framework to examine the relationships among the experiential quality dimensions, green perceived value, green corporate image, green experiential satisfaction, green corporate reputation, green experiential loyalty and green switching intentions for the airline industry. The data used in this paper were based on a sample of 615 passengers who experienced the eco-friendly services of China Airlines, indicating that the proposed model fitted the data. The study's result will assist airline management to develop and implement market-orientated service strategies to increase the experiential quality dimensions, green perceived value, green corporate image, green experiential satisfaction, green corporate reputation and green experiential loyalty in order to decrease passengers’ green switching intentions. [ABSTRACT FROM AUTHOR]

The purpose of this study is to test the relationships among experiential quality, perceptual evaluation, perceived ease of use, perceived usefulness, experiential involvement, experiential satisfaction and experiential loyalty. The data used in this study were acquired from a sample of 494 customers ordering their meals using facial recognition at one fast food restaurant (KFC) in Beijing, China. The empirical findings reveal that experiential quality exerts a direct influence on experiential involvement, perceived ease of use and perceived usefulness. Perceived ease of use is an antecedent of perceived usefulness and experiential quality, perceptual evaluation, perceived ease of use and perceived usefulness that can bring about experiential satisfaction. Experiential involvement moderates the relationship between experiential satisfaction and experiential loyalty. Perceptual evaluation, perceived usefulness, experiential involvement and experiential satisfaction contribute to experiential loyalty. The discussion provides implications and managerial insights for research and practice. [ABSTRACT FROM AUTHOR]

This study aims at examining the interrelationships among experiential quality, equity, happiness, rural image, experiential satisfaction, and behavioral intentions for the rural tourism industry in China. The data used in this study were based on a sample of 694 rural tourists staying in Sansheng Flower Town of Chengdu, indicating that the proposed model fits the data. The result of this study will assist rural tourism management in developing and implementing market-orientated service strategies to increase experiential quality and equity, and enhance the image and experiential satisfaction of rural tourists in order to generate favorable intentions to return or revisit the same rural village. [ABSTRACT FROM AUTHOR]

This study aims at proposing to test a research model to gain a better understanding of the relationships among the dimensions of experiential quality, green experiential satisfaction, green alternative attractiveness, green service fairness, green variety-seeking, and green switching intentions. The study's findings are based on structural equation model analysis of a convenience sample of 650 attendees at the 13th International Green Building and Energy-Savings Exhibition 2016 in Chongqing, China. The results of this analysis contribute to the services marketing theory by providing additional insights into green switching intentions, the dimensions of experiential quality, green experiential satisfaction, green alternative attractiveness, green service fairness, and green novelty-seeking. The study's results will assist green convention management in developing and implementing market-orientated service strategies to increase the dimensions of experiential quality and green experiential satisfaction, enhance green alternative attractiveness, green service fairness, and green novelty-seeking, and decrease green switching intentions. [ABSTRACT FROM AUTHOR]

Abstract: For our research we applied the TCSI model to the automobile industry in Taiwan. The subjects of our research were consumers of new cars in Taiwan during the years 2006–2008. According to statistics provided by the Taiwan Transportation Vehicle Manufacturers Association (TTVMA) Toyota, Ford, Nissan, and Mitsubishi Motors made up for 79% of all cars sold in Taiwan from January through June, 2008. Questionnaires were issued randomly to four companies. We used structural equation modeling (SEM) to manifest the model’s suitability and develop a standard questionnaire to obtain the customer’s opinions. The conclusions reached provide valuable insight into the companies and industry and can help them to develop strategies to increase their competitiveness. [Copyright &y& Elsevier]

Abstract: The purpose of this study is to use the gap-analysis method to calculate the performance of quality characteristics and apply the multiple regression analysis method to establish the overall level of satisfaction and implicit importance of quality characteristics. In addition we will use the decision making trial and evaluation laboratory (DEMATEL) method to analyze the cause-effect relationship and level of influence among different quality characteristics in order to make revisions to the traditional IPA model and find the core problems that are involved with winning orders. The methodology that we propose for this research not only makes revisions to the IPA model’s method of directly using explicit information from customer responses, we also solved the influence of the cause-effect relationships of quality characteristics. For our research we analyzed the case of a company from Taiwan’s network communication equipment manufacturing industry in order to make our corrections to the IPA model and gain the benefits of using the DEMATEL model. The findings of our research show that with the corrections to the IPA and the methodology of DEMATEL we can find and correct the core problems of the company that was analyzed, improve quality control and therefore improve the company’s ability to win and be compatible for orders. [Copyright &y& Elsevier]

Abstract: In this paper we construct the consumer loan default predicting model through conducting the empirical analysis on the customers of unsecured consumer loan from a certain financial institution in Taiwan, and adopt the borrower’s demographic variables and money attitude as the real-timeaneous discriminant information. Furthermore, we construct respectively through four predicting methods, such as DA, LR, NN and DEA–DA, to compare the suitability of these four mentioned methods. The results show that DEA–DA and NN are possessed better predicting capability and they are the optimal predicting model that this study longing for. In addition, this study showed that the default loan predicting model will be possessed higher level of predicting capability after added money attitude. [Copyright &y& Elsevier]