This research is done with the objectives to examine and to identify how the main factors of airline services, which become fundamentals for airline customers to select their favorite one, affect their customer satisfaction and their customer preference, with a focus on adjustable influence of converting cost. The survey has been conducted with the population of the airline customers who use international airlines through Incheon International Airport and processed with the objectives to verify the influence of the main factors of airline services to customer satisfaction and customer preference and also to collect the verified data for adjustable influence of converting cost between customer satisfaction and customer preference, and its results are as follows: Firstly, airline services have significant impact on their customer satisfaction. Secondly, they also have significant impact on their customer preference, Thirdly, the converting cost between both of customer satisfaction and customer preference to airline services doesn't involve the adjustable function in consecutive cost nor in learning cost but it does involve the one in sunk cost.
Purpose: This research aimed to suggest retailing companies some ways to enhance customer satisfaction with service recovery and recommendation intention towards these companies. For this purpose, current study examined the relationships among service recovery justice, service failure severity, customer trust, recovery satisfaction and intention to recommend and the moderating role of ego-resilience. Research design, data and methodology: Current study developed a structural equation model in which perceived service recovery justice is a predictor, service failure severity, customer trust, recovery satisfaction are mediators, intention to recommend is a dependent variable and the ego-resilience is a moderator between the perceived service recovery justice and the customer trust and the recovery satisfaction. Data were collected from customers who experienced service failures from retailers. A total of 400 questionnaires were collected and 365 samples were used for analysis after deleting data having missing value. SPSS 25.0 and AMOS 24.0 were used to test the validity, reliability, and structural equation modeling. Results: Empirical results showed that the perceived service recovery justice had a negative influence on the perceived service failure severity and a positive influence on the customer trust and the recovery satisfaction. These results indicate that when customers perceive the service recovery justice more highly, they perceive the service failure less severe but they perceive the retailer more trustworthy and are satisfied with service recovery. In addition, the customer trust and the recovery satisfaction had a positive influence on the intention to recommend. These results indicate that when customers perceive the retailer more trustworthy and are satisfied with service recovery, they are more intend to recommend the retailer. Moreover, the influence of the perceived service recovery justice on the customer trust and the recovery satisfaction was moderated by the ego-resilience. Conclusions: This study contributed to the service recovery literature by proving the relationship among service recovery justice, service failure severity, customer trust, recovery satisfaction and intention to recommend. Moreover, current research introduced the ego-resilience into service recovery research area and revealed the moderation role of the ego-resilience. Managerially, this research suggested retailing companies some ways to effectively recover from service failure.
The Open-Market internet shopping malls has rapidly been growing over the past few years. Thus, this study compares Meta-Mall and Open-Market, as well as evaluates image factors of the internet shopping mall in order to verify different levels of influence on customer satisfaction and revisit intentions. The subject of stud was made for students enrolled in colleges in the Busan area, using this Data collection method. Data were gathered using a questionnaire and through personal interviews from a sampling made from May 1 to May 8, 2008. The final 337 accomplished questionnaire forms were used for the subsequent analysis. The results of the substantial analysis are as follows. First, the following factors affect the image of internet shopping malls: assortment of goods and information service, site design, convenience, reliability of goods and information, and customer service. In Meta-Mall, these same factors, except customer service, were found to influence customer satisfaction, while in Open-Market, all the five factors were found to influence customer satisfaction. In Open-Market, convenience and reliability of goods and information had especially high levels of influence on customer satisfaction. Second, customer satisfaction with Internet shopping malls was found to influence the intentions of the customers to make a revisit. The result of the study shows that the factors of shopping mall image between Meta-Mall and Open-Market are perceived differently by their customers, and differences were found in the levels of their influence on customer satisfaction.
Purpose - Other customers within the same service environment do influence a customer' attitude and behavior toward a service firm. Specially, other customers' misbehaviour and various service problems stemmed from them could make the other customers suffer some bad experiences. However, there are few studies to answer how the spillover effect of a service failure arisen from other customers' misbehavior. This study is aimed to examine how service failure due to the dysfunctional behavior of other customers has negative effects on customer evaluation with the service provider. Research design, data, and methodology - Data were collected from a survey based on consumers' retrospective experiences in airline service context. The hypothesized relationships were tested conducting structural equation modeling. Results - Our results show that the attribution of a firm responsibility for other-customer failure has a positive influence on customer's recovery expectation, in turn, it is negatively related to customer satisfaction. Furthermore, perceived service provider's efforts positively influence customer satisfaction. Conclusions - Although a service failure was caused by other customer's misbehavior, employees should be able to alleviate any bad feelings of the affected customers. Furthermore, service providers should provide proper recovery efforts for solving problems caused by the other customers for the wounded customers.
Introduction As consumers' purchase behavior change into a rational and practical direction, the discount store industry came to have keen competition along with rapid external growth. Therefore as a solution, distribution businesses are concentrating on developing PB(Private Brand) which can realize differentiation and profitability at the same time. And as improvement in customer loyalty beyond customer satisfaction is effective in surviving in an environment with keen competition, PB is being used as a strategic tool to improve customer loyalty. To improve loyalty among PB users, it is necessary to develop PB by examining properties of a customer group, first of all, quality level perceived by consumers should be met to obtain customer satisfaction and customer trust and consequently induce customer loyalty. To provide results of systematic analysis on relations between antecedents influenced perceived quality and variables affecting customer loyalty, this study proposed a research model based on causal relations verified in prior researches and set 16 hypotheses about relations among 9 theoretical variables. Data was collected from 400 adult customers residing in Seoul and the Metropolitan area and using large scale discount stores, among them, 375 copies were analyzed using SPSS 15.0 and Amos 7.0. The findings of the present study followed as; We ascertained that the higher company reputation, brand reputation, product experience and brand familiarity, the higher perceived quality. The study also examined the higher perceived quality, the higher customer satisfaction, customer trust and customer loyalty. The findings showed that the higher customer satisfaction and customer trust, the higher customer loyalty. As for moderating effects between PB and NB in terms of influences of perceived quality factors on perceived quality, we can ascertain that PB was higher than NB in the influences of company reputation on perceived quality while NB was higher than PB in the influences of brand reputation and brand familiarity on perceived quality. These results of empirical analysis will be useful for those concerned to do marketing activities based on a clearer understanding of antecedents and consecutive factors influenced perceived quality. At last, discussions about academical and managerial implications in these results, we suggested the limitations of this study and the future research directions. Research Model and Hypotheses Test After analyzing if antecedent variables having influence on perceived quality shows any difference between PB and NB in terms of their influences on them, the relation between variables that have influence on customer loyalty was determined as Figure 1. We established 16 hypotheses to test and hypotheses are as follows; H1-1: Perceived price has a positive effect on perceived quality. H1-2: It is expected that PB and NB would have different influence in terms of perceived price on perceived quality. H2-1: Company reputation has a positive effect on perceived quality. H2-2: It is expected that PB and NB would have different influence in terms of company reputation on perceived quality. H3-1: Brand reputation has a positive effect on perceived quality. H3-2: It is expected that PB and NB would have different influence in terms of brand reputation on perceived quality. H4-1: Product experience has a positive effect on perceived quality. H4-2: It is expected that PB and NB would have different influence in terms of product experience on perceived quality. H5-1: Brand familiarity has a positive effect on perceived quality. H5-2: It is expected that PB and NB would have different influence in terms of brand familiarity on perceived quality. H6: Perceived quality has a positive effect on customer satisfaction. H7: Perceived quality has a positive effect on customer trust. H8: Perceived quality has a positive effect on customer loyalty. H9: Customer satisfaction has a positive effect on customer trust. H10: Customer satisfaction has a positive effect on customer loyalty. H11: Customer trust has a positive effect on customer loyalty. Results from analyzing main effects of research model is shown as