• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.225-235
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• 2000

Service quality has become an important factor to meet customer satisfaction in the food service industry where competition is getting severe. Organizations are focused upon strengthening customer loyalty through customer satisfaction. Therefore, this study, taking customers as subjects, is intended to analyze factors affecting customer loyalty, on the basis of service quality satisfaction. In doing. so, the analysis has been done with 232 customers who are purchasing service from the food services industry, for general information, and service quality expectation, service quality satisfaction and overall satisfaction. The results of the study are as below. 1) From a factor analysis, the service quality expectation level of customer has been categorized into 4 factors, which are named General ′General management ′, ′Food′, ′Reliability′and ′Reputation′. 2) From the factor analysis, the service quality satisfaction level of customer has been categorized into 6 factors, which are named ′Employee attitude′, ′Food′, ′Reliability′, ′Atmosphere′, ′Reputation′ and ′Price′. 3) After classifying customers into 3 groups according to two criteria-"will buy the service again" and "will suggest to others", a comparison has been done for the service quality expectation dimension of customers by each customer group. The result shows that the group having both the "will buy the service again" and "will buy the service again "and "will suggest to others" criteria, that is, with higher customer loyalty, tend to have higher point than other group in factors of ′Food′, ′Reliability′, ′Reputation′(p〈.05). 4) As per the dimension of customer\`s service quality satisfaction level, factors like ′Employee attitude′, ′Food′, ′Reliability′, ′Atmosphere′, ′Reputation′, and ′Price′have shown differences according to each loyalty group(P〈.001). 5) Customers′overall satisfaction level according to each customer loyalty group has been found to be more important for the group having a higher loyalty level(p〈.001) 6) From the discriminant analysis with employing judging variables, such as the customer′s service quality expectation level, service quality satisfaction level and general satisfaction level, customer loyalty groups have been identified as accurately as 68.9% of the explanatory power.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.42-53
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• 2006

The delivery of high service quality is an evitable strategy that has been related to a success in discount store industry. Greater competitiveness has caused discount store firms to be increasingly aware of the importance of service quality to be on a competitive edge. Also, the fact that service quality leads to customer satisfaction has driven many researchers and practitioners to focus on the issue. What we suggest is that customer's expectation change of service quality cannot be regarded as two totally unrelated processes. If quality judgments are based on expectations, it is important to understand the origins of those expectation change. Therefore, if being of effecting factors between the latest expectation and the changed expectation of service quality will prove out, service firms are possible to operate efficiency quality management for getting customer satisfaction.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.80-108
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• 2016

Contemporary organizations strive for customer agility through the deployment of digital technologies on customer-focused operations to build enduring customer relationships, with mobile apps being one of its prominent examples. Drawing on prior agility and ECT literature, this study proposes a model to examine customers' view of a firm's customer agility. Our empirical test of conceptual model from data collected in a field study from 128 customers demonstrated that the conceptual model offers good explanation for customers' view of a firm's customer agility through relationships among customer expectations-customer perceived firm's responsiveness-satisfaction. Data were analyzed using PLS, polynomial modeling, and response surface methodology to examine the relationships between customers' digital interactions with the firm, influence of digitized interactions on customer expectations, customers' evaluation of firm's responsiveness, and subsequent customer satisfaction.

• Journal of Nutrition and Health
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• v.32 no.8
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• pp.967-973
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• 1999

The purpose of this study was to analyze sensory evaluation, to assess visual serving size and plate waste estimates of daily menu, and the identify customer expectation, perception and satisfaction. Questionnaires of sensory evaluation, serving size and were waste were developed and hand-delivered to 2,520 people. A total of 2,255 questionnaires were usable: a 89.5% response rate. Customer satisfaction questionnaires were handed out to 700 customers: (100 each at seven operations). A total of 551 were returned completed (78.7%). The data was analyzed using the SAS package program for Descriptive Analysis, t-test and ANOVA. The result of sensory evaluation showed that 'taste' was 3.20, 'freshness' 3.17, 'temperature' 3.25, 'texture' 3.15, 'appearance' 3.12, 'overall evaluation' 3.21, so these were little higher than 「normal」, that is 3.0. There was positive correlation among 'taste', 'freshness', 'temperature', 'texture', 'appearance' and 'overall evaluation'(p<.001). Serving size score was 2.97 and plate waste was 4.87, thus plate waste percentage was about 22-33%. As the result of customer expectation, perception and satisfaction of menu quality, characteristics. Customer satisfaction was defined as the difference expectation and perception and customer perceptions in theis survey were lower than expectation, thus this result implied customers dissatisfied in all menu quality characteristics. IPA analysis showed that 'diversity of menu selection' and 'menu price' was included in A area 'Focus here'.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.2
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• pp.61-74
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• 2003

Many firms try to enhance the customer satisfaction, because they believe that higher customer satisfaction leads to superior returns. According to expectancy disconfirmation model, consumers judge the satisfaction in comparison with their expectations about the product performance. If the performance is above the expectations, increase in satisfaction is expected. If the performance is below the expectations, decrease in satisfaction is expected. This explanation contradicts our beliefs that higher expectation leads to consumer's choices. To address the contradiction, this paper present a unified model which combines the expectancy disconfirmation model with the well-known diffusion model. The unified model shows that the expectation can increase the choices even if the expectation decreases the satisfaction.

• Journal of Nutrition and Health
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• v.37 no.4
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• pp.329-338
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• 2004

The purposes of this study were to : a) develop the quality assessment tool of hospital foodservice management, b) evaluate the S hospital's foodservice quality by this tool, and c) do the feasibility study about this tool in hospital food-service field by establishing quality management strategies. The developed quality assessment tool of hospital food-service management was consisted of 20 items for quality evaluation by Likert 5 point scale and two additional questions with the most satisfactory item and the most unsatisfactory item. As a result of evaluation, S hospital's foodservice quality was somewhat high, on the factor 'personnel attitude', especially. The IPA technique proved nine items including Q5, Q7, Q8, Q11, Q12, Q13, Q15, Q16, Q17 were in 'Doing Great, Keep It Up' and seven items such as Q1, Q2, Q3, Q6, Q9, Q18, Q19 that got high expectation and low perception needed to be focused in quality management strategy.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.3
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• pp.480-494
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• 2016

This study focuses on influential relationships for consumer's cognition about sponsorship, consumer-brand relationship, brand equity, customer satisfaction and customer loyalty. To accomplish it, a questionnaire survey (answered by 600 males and females over the age of 20) was conducted by an Internet Research Company from October $5^{th}$ to $20^{th}$ in 2011. The results of the analysis were: First, consumer's cognition about sponsorship consisted of sponsorship interest, sponsorship importance, sponsor-sponsorship suitability, and sponsorship expectation. Consumer-brand relation consisted of personal attachment, trustful relationships and commitment relationships. Brand equity for golf wear consisted of three factors (brand awareness, brand image, perceived quality). Customer satisfaction and customer loyalty consisted of one factor. Second, the commitment relationship was influenced by sponsor-sponsorship suitability, sponsorship interest, sponsorship importance and sponsorship expectation. However, personal attachment was influenced by only sponsorship interest and sponsorship expectations. The trustful relationship was influenced by all factors of consumer cognition, except sponsorship interest. Customer loyalty was influenced by consumer's cognition about sponsorship, consumer-brand relationship, brand equity and customer satisfaction. The leverage of consumer-brand relationship and consumer's cognition for sponsorship was notably larger than others.

• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.1-16
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• 2001

The existing studies on measuring service quality have focused on moderating expectation. But one of real problems of measuring service quality is the assumption that customer's perceived quality is increased linearly by gap(performance-expectation). In this study, we assumed non-linearity of customer's perceived quality. The results of empirical study show that NL-SERVQUAL(suggested model in this paper) is better than SERVQUAL and SERVPERF.

• Journal of the Korean Society of Food Culture
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• v.15 no.1
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• pp.41-49
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• 2000

The effort to understand customer is essential and customer satisfaction measurement tool is needed in today's intensively competitive environment of restaurants. The objectives of this study were to measure customers' expectation and satisfaction of service quality attributes and to identify relatively important attributes for overall satisfaction in restaurants. The questionnaires were distributed to 232 customers at 78 family-style, pizza and fast food restaurants. Statistical data analysis was completed using SPSS for t-test, ANOVA, factor analysis, Pearson's correlation and regression analysis. The results of this study were as follows: 1) four and six- dimensional structures were established from 25 expectation and satisfaction attributes, respectively. 2) Demographic variables and usage characteristics didn't affect on service quality expectation, but expectations were significantly different according to the types of restaurant. 3) Expectation/satisfaction matrix showed different patterns in 3 types of restaurant. 4) 'Quality of food' and 'atmosphere' were the most relatively important attributes for overall satisfaction in restaurants.

• Asia pacific journal of information systems
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• v.26 no.3
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• pp.449-476
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• 2016

This study examines how an initially perceived product value affects consumer's purchase intention after reading online reviews with various tones. The study proposes that associations among initially perceived overall product value, degree of confirmation resulting from reading the reviews, and final purchase intention differ across review tones such that 1) when the tone is favorable, the effect of an initially perceived product value is stronger than when the tone is critical, and 2) when the tone is extreme, the effect of confirmation is stronger than when the tone is moderate. The survey was conducted with 276 online shopping mall users in Korea, and most of the hypotheses were supported. This study asserts that the effects of online reviews should be considered together with customer's level of expectation formed prior to reading online reviews, which resulted from extensive search and screening processes that the customer went through before reading online reviews.