• Journal of Fashion Business
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• v.11 no.3
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• pp.46-58
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• 2007

The purpose of this study was to identify the physical surroundings and the salesperson's service in apparel stores, and to examine their effects on customer satisfaction and the intention to repurchase. The data was collected from a questionnaire conducted on 312 female adults who had just finished shopping, and was analyzed by frequency analysis, factor analysis, reliability analysis, regressive analysis and ANOVA analysis with SPSS 10.0. The results were as follows: (1) As a result of the factor analysis, five factors were identified with regard to physical surroundings: spatial layout and functionality, presentation and aesthetics, ambience, convenience, and information. The factors pertaining to the salesperson's service in apparel stores were divided into four dimensions: knowledge and assurance, convenience and responsiveness, etiquette, and empathy. (2) As far as physical surroundings are concerned, spatial layout and functionality, presentation and aesthetics, ambience, and convenience were all found to influence customer satisfaction. In terms of salesperson's service, convenience and responsiveness, etiquette, and empathy each had an influence on customer satisfaction. (3) Furthermore, physical surroundings and the salesperson's service influenced the intention to repurchase. The intention to repurchase is influenced by spatial layout and functionality, ambience, convenience, and information with regard to physical surroundings, by knowledge and assurance, convenience and responsiveness, and empathy with regard to the salesperson's service. (4) It was revealed that the significance of the physical surroundings and salesperson service factors varies depending on the consumer's age, level of education, and income.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.131-149
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• 2006

The increasing number of mobile phone users has caused the increasing number of mobile internet subscribers since the 2000s. However, there are little studies on commercial transactions through mobile internet by contraries of abundant studies on the traditional offline and online commerce. This paper aims to find out some factors affecting customer satisfaction in the mobile commerce. For this purpose, influential factors were drawn out by comparing mobile commerce with e-commerce and a more systematic framework was developed. 6 factors were proposed such as mobile internet experience, perceived content Quality, perceived ease of use, perceived price level, perceived system Quality and perceived security level. Initially, they have effects on the customer satisfaction, and then, they have relationships with customer complaint and customer loyalty. In this paper, a Questionnaire survey was conducted. And a general structural equation model was applied to empirically test the proposed research model which is based on the relationships among the 6 factors and customer satisfaction, customer complaint and customer loyalty. This study will be useful to firms providing services of mobile commerce, because it can find out some influential and significant factors of the mobile commerce.

• Journal of the Korea Safety Management & Science
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• v.21 no.2
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• pp.15-23
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• 2019

Among service industries of knowledge based economic era, the roles of educational service field are becoming more important and standard of educational service makes a direct effect on economic development and social growth. Therefore, accurate measurement of service quality is the most important assignment and the measurement of the service quality remains difficult assignment. So, this researcher classified quality attributes applying weighted value and found potential satisfaction level(PSL) and potential customer demand improvement index(PCDI) for trainees participating in national manpower business so as to suggest measurement of service quality and easiness of use and then, calculated satisfaction position and opportunity cost by quality factor with Taguchi's loss fraction. And, improvable satisfaction level was measured, opportunity cost by degree of customer dissatisfaction was quantitatively measured, and a model that can indicate with economic factors was suggested. In addition, methodology of measuring quality cost that can be reduced by quality improvement and direction of strategic decision-making for deciding items to be improved preferentially were suggested with qualitative index that can indicate the degree of customers' dissatisfaction by loss.

• Journal of Distribution Science
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• v.13 no.9
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• pp.29-36
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• 2015

Purpose - The purpose of this study is to examine the influence of effective role-play and training on employee education satisfaction and customer orientation. Evidence of the suggested objective is obtained by monitoring the effectiveness of hotel service training. Research design, data, and methodology - Data were collected from 280 role-play sessions performed in a Korean Hotel and examined using a frequency analysis, reliability/validity assessments, correlation analysis, and regression analysis using SPSS 19.0. Results - 1) Entrepreneurs and training instructors should enthusiastically apply service education in order to enhance each employee d evaluation in terms of customer satisfaction and customer orientation. 2) The most effective factor on customer satisfaction and orientation is the instructor's qualifications. 3) Since a higher level of education-training satisfaction leads to better customer orientation, effective education-training is essential to achieve this result. Conclusions - The study was able to obtain practical evidence that can confirm that service education-training through role-play positively affects employee customer service orientation. In future advanced research on training effects on customer orientation, various internal factors of a business should also be considered.

• Asia Marketing Journal
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• v.14 no.1
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• pp.1-24
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• 2012

Nowadays, customer satisfaction has been one of company's major objectives, and the index to measure and communicate customer satisfaction has been generally accepted among business practices. The major issues of CSI(customer satisfaction index) are three questions, as follows: (a)what level of customer satisfaction is tolerable, (b)whether customer satisfaction and company performance has positive causality, and (c)what to do to improve customer satisfaction. Among these, the second issue is recently attracting academic research in several perspectives. On this study, the second issue will be addressed. Many researchers including Anderson have regarded customer satisfaction as core competencies, such as brand equity, customer equity. They want to verify following causality "customer satisfaction → market performance(market share, sales growth rate) → financial performance(operating margin, profitability) → corporate value performance(stock price, credit ratings)" based on the process model of marketing performance. On the other hand, Insoo Jeon and Aeju Jeong(2009) verified sequential causality based on the process model by the domestic data. According to the rejection of several hypotheses, they suggested the balance model of marketing performance as an alternative. The objective of this study, based on the existing process model, is to examine the causal relationship between customer satisfaction and corporate value performance. Anderson and Mansi(2009) proved the relationship between ACSI(American Customer Satisfaction Index) and credit ratings using 2,574 samples from 1994 to 2004 on the assumption that credit rating could be an indicator of a corporate value performance. The similar study(Sangwoon Yoon, 2010) was processed in Korean data, but it didn't confirm the relationship between KCSI(Korean CSI) and credit ratings, unlike the results of Anderson and Mansi(2009). The summary of these studies is in the Table 1. Two studies analyzing the relationship between customer satisfaction and credit ratings weren't consistent results. So, in this study we are to test the conflicting results of the relationship between customer satisfaction and credit ratings based on the research model considering Korean credit ratings. To prove the hypothesis, we suggest the research model as follows. Two important features of this model are the inclusion of important variables in the existing Korean credit rating system and government support. To control their influences on credit ratings, we included three important variables of Korean credit rating system and government support, in case of financial institutions including banks. ROA, ER, TA, these three variables are chosen among various kinds of financial indicators since they are the most frequent variables in many previous studies. The results of the research model are relatively favorable : R², F-value and p-value is .631, 233.15 and .000 respectively. Thus, the explanatory power of the research model as a whole is good and the model is statistically significant. The research model has good explanatory power, the regression coefficients of the KCSI is .096 as positive(+) and t-value and p-value is 2.220 and .0135 respectively. As a results, we can say the hypothesis is supported. Meanwhile, all other explanatory variables including ROA, ER, log(TA), GS_DV are identified as significant and each variables has a positive(+) relationship with CRS. In particular, the t-value of log(TA) is 23.557 and log(TA) as an explanatory variables of the corporate credit ratings shows very high level of statistical significance. Considering interrelationship between financial indicators such as ROA, ER which include total asset in their formula, we can expect multicollinearity problem. But indicators like VIF and tolerance limits that shows whether multicollinearity exists or not, say that there is no statistically significant multicollinearity in all the explanatory variables. KCSI, the main subject of this study, is a statistically significant level even though the standardized regression coefficients and t-value of KCSI is .055 and 2.220 respectively and a relatively low level among explanatory variables. Considering that we chose other explanatory variables based on the level of explanatory power out of many indicators in the previous studies, KCSI is validated as one of the most significant explanatory variables for credit rating score. And this result can provide new insights on the determinants of credit ratings. However, KCSI has relatively lower impact than main financial indicators like log(TA), ER. Therefore, KCSI is one of the determinants of credit ratings, but don't have an exceedingly significant influence. In addition, this study found that customer satisfaction had more meaningful impact on corporations of small asset size than those of big asset size, and on service companies than manufacturers. The findings of this study is consistent with Anderson and Mansi(2009), but different from Sangwoon Yoon(2010). Although research model of this study is a bit different from Anderson and Mansi(2009), we can conclude that customer satisfaction has a significant influence on company's credit ratings either Korea or the United State. In addition, this paper found that customer satisfaction had more meaningful impact on corporations of small asset size than those of big asset size and on service companies than manufacturers. Until now there are a few of researches about the relationship between customer satisfaction and various business performance, some of which were supported, some weren't. The contribution of this study is that credit rating is applied as a corporate value performance in addition to stock price. It is somewhat important, because credit ratings determine the cost of debt. But so far it doesn't get attention of marketing researches. Based on this study, we can say that customer satisfaction is partially related to all indicators of corporate business performances. Practical meanings for customer satisfaction department are that it needs to actively invest in the customer satisfaction, because active investment also contributes to higher credit ratings and other business performances. A suggestion for credit evaluators is that they need to design new credit rating model which reflect qualitative customer satisfaction as well as existing variables like ROA, ER, TA.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.547-560
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• 2017

Purpose: This study investigates the effect of CRM activities of Korean equipment construction companies on the quality satisfaction perceived by consumers as an analysis method using Kano model. Methods: It use the Kano model to classify the quality characteristics of the CRM activities of equipment construction companies, focusing on consumer perception, and analyze the effect on the level of quality satisfaction perceived by consumers. Results: The results showed that most of quality attributes of CRM activities in the equipment companies were categorized as 'one-dimensional' quality. Conclusion: The CRM activities in equipment construction compaies is verified to be essential component of successful strategy to improve customer's satisfaction.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.236-242
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• 2000

Due to the diversification of the food industry and its heightened competition, the marketing strategy to be required the most would be to improve competitiveness by enhancing customer loyalty as a resulting variable of customer satisfaction. Thus, this study, taking a food service provider as a subject, is to find factors and the scope of the perceived quality ; and to analyze how far the perceived service quality factor as such could explain customer′s overall satisfaction and customer loyalty ; finally to provide basic data for establishing a customer satisfaction marketing strategy as related to customer loyalty. The results of the study are as below. 1) 25 factors of service quality perceived by a food service provider have been categorized into 8 independent dimensions through factor analysis. Each of them are named ′Employee attitude′, ′Cleanliness′, ′Reputation′, ′Reliability′, ′Food′, ′Price′, ′Convenience′, ′Variety′, all of which explain 64.3% of the service again quality perception level. 2) After classifying customers into 3 groups according to two criteria -"will buy the service again" and "will suggest it to others" and making a pair of service providers with each customer, each customer loyalty group compared the service quality perception factor of the food service provider. The result was that the group having both the " will buy the service again" and "will suggest to others" criteria, that is, with higher loyalty, tend to have higher points than other group s in the dimension of ′Employee attitude′ and ′ Cleanliness′(p〈0.05), which means these two dimensions are closely related to customer loyalty. 3) From a regression analysis for the service quality perception level of the food service provider and overall satisfaction, it has been found that : the regression models are different for each group, that ′Employee attitude′ seems to be related more closely to the group with higher loyalty(p〈0.05); that the ′Price′dimension is found to be a meaningful factor to the group categorized not having "will buy the service again" and "will suggest to others" criteria(p〈0.05).

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.1
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• pp.118-127
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• 2018

Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid measuring methods for service quality are necessary. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. Kano classified the degree of influence that is the degree of correspondence of the quality attributes of products and services to the subjective satisfaction of customers. As a result, the types of qualities are classified as attractive, must be, one dimensional, and indifference attributes. They have been widely used quality attributes in various industrial fields up to now. However, Kano model has a limit that it ignores the characters of the next frequent numbers even though there are not much gap comparing to the most frequent number in the questionnaire answers. The limit is attributed to the character of Kano model that the most frequent number is accepted as the only quality character. Timko calculated the customer satisfaction coefficient by using Kano's method and studied the differences in quality character by classifying the quality characteristics in a graphical way through the relationship between the satisfaction and the dissatisfaction coefficient. In this study, we used the quality level determination method of the 7-point Likert scale, which takes the weight into account, to complement the deficiencies of the existing Kano model. We also developed and applied a Potential Satisfaction Level (P) and Potential Customer Demand Improvement (PCDI) Index to present a new approach to the determination of service quality attributes. To measure the level of potential service satisfaction and to understand the degree of improvement, we collected specimens of 51 participants who has been trained in the National Strategy Business Training Program, which has been managed by government agent, and analyzed the results.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.2
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• pp.151-169
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• 2012

This research analyzed and compared the public library satisfaction level between South Korea and USA public library user. This research looked at the public library user's nominal complains to the library from various countries and analyzed the impact variance of customer satisfaction level by using four key factors(faculty, facility, online service, books). The results were, first, overall customer satisfaction level of USA average(m=3.91) was higher then South Korea average(m=3.08) with a difference of m=0.83. Second, in the outcome of the survey conducted in South Korea, all four key factors were strongly related to customer satisfaction level, whereas the survey conducted in the USA, only two key factors showed relation to the customer satisfaction level which were facility and online service. Lastly, In the survey conducted in South Korea, out of the four key factors, Faculty(${\beta}$=.838) and online service(${\beta}$=.496) were the only two key factors that influenced the customer satisfaction level. In the survey conducted in the USA, Facility(${\beta}$=.441) and online service(${\beta}$=.471) were the two key factors that influenced customer satisfaction level. Therefore, South Korea should invest in increasing online service and educating faculty service as well as managing more intensively in software type field policies.

• The Journal of Society for e-Business Studies
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• v.22 no.2
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• pp.19-38
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• 2017

The core of the smartphone business environment is changing from H/W to S/W and with it the paradigm of an enterprise's base of competition is changing from H/W to service. In accordance with this paradigm, in this study we have determined H/W, S/W and telecommunication service as smartphone business factors. The purpose of this study is to first analyze the influence business factors has on consumer satisfaction and customer loyalty. Secondly, to analyze the influence switching cost has on customer loyalty. As a result, the factor that has a notable influence on customer satisfaction turned out to be the H/W factor. On the other hand S/W factor and communication service turned out to have very little influence. In addition, the factors influencing customer loyalty turned out to be H/W factor and S/W factor. Telecommunication service did not have much of an influence. Customer satisfaction turned out to act as mediation effect between H/W factor and customer loyalty. Like the result of other preceding researches, switching cost turned out to have a significant influence on customer loyalty. This study differs from other studies in that while other existing studies analyzed H/W, S/W and communication service separately, this study analyzed the influence H/W, S/W and communication service as a whole has on customer satisfaction and customer loyalty. We speculate that the results of this study would provide some insight both in an academic and practical level for stagnant smartphone industry.