We studied the efficiency of service quality of loan consultants contracted to a bank in Korea. Since the consultant is not an employee of the bank, he/she is paid solely in proportion to how much he/she sell loans. In this study, a consultant is considered as a decision making unit (DMU) in the DEA (Data Envelopment Analysis) model. We use a principal component analysis-data envelopment analysis (PCADEA) model to evaluate quality efficiency of the consultants. In the first stage, we use PCA to obtain 6 synthetic indicators, including 4 input indicators and 2 output indicators, from survey results in which questionnaire items are constructed on the basis of SERVQUAL model. In the second stage, 3 DEA models allowing negative values are used to calculate the relative efficiency of each DMU. An example illustrates the proposed process of evaluating the relative quality efficiency of the loan consultants.

This study was conducted to survey the perception and preferences of customers that have dined at Korean restaurants in China and investigate the importance and performance level of quality attributes, customer satisfaction, revisit intention and recommendation intention. The survey was conducted January 31~March 1, 2016 in China. The 293 questionnaires (97.7%) were analyzed using SPSS(Ver. 23.0) and AMOS(Ver. 21.0). Results of this study are as follow: Customers that dined at a Korean restaurant in China were composed of 157 women and 136 men. Regarding the reason for preferring Korean cuisine, taste, hygiene and nutritional value of Korean food were the most significant quality factors. Regarding complaints about Korean food, Chinese people placed much emphasis on freshness of ingredients when dining out, based on the majority of complaints about ingredients that were not fresh. The main reason for leftover food were personal eating habits and that of customers revisiting food taste and nutrition. Path model among customer satisfaction, revisit intention and recommendation intention revealed the factor of menus and attributes of menu items regarding customer’s age that had an impact on customers’ satisfaction, and association with customers’ satisfaction, revisit intention and recommendation intention as well.

Logistic enterprises want to be competitive enterprises in fierce logistic market and worry about the securement of discriminative competitiveness for it. The standards for the judgement of logistic industry’s maintenance of competitiveness are not only economic feasibility of logistic costs but also the satisfaction of users because well-established service system for variety and enhancement of logistic needs. Some of the quality attributes sufficiently satisfy expectation of customers, but not guarantee high-quality satisfaction. Therefore, it’s difficult to grasp quality attributes with the existing approach of perceived service quality. Quality attribute model suggested by Kano is widely used as the concept is accurate, there is high possibility to be used at the stage of product/service planning, and it can be easily applied. Kano model has a limitation that quality attributes are classified with mode and the differences between strong property of the quality attribute and week property in quality attributes were ignored. Therefore, Timko calculated customer satisfaction coefficient with the result of Kano’s survey and effects of customer satisfaction and unsatisfaction through relations between satisfaction coefficient and unsatisfaction coefficient. The purposes of this study are to use ASC, the average of satisfaction coefficient and unsatisfaction, as the satisfaction of quality characteristics, decide the importance of quality characteristics with TOPSIS, a representative multi-standard decision-making method, and calculate strategy improvement propriety of logistic service quality.

Loan consultants assist clients with loan application processing and loan decisions. Their duties may include contacting people to ask if they want a loan, meeting with loan applicants and explaining different loan options. We studied the efficiency of service quality of loan consultants contracted to a bank in Korea. They do not work as a team, but do work independently. Since he/she is not an employee of the bank, the consultant is paid solely in proportion to how much he/she sell loans. In this study, a consultant is considered as a decision making unit (DMU) in the DEA (Data Envelopment Analysis) model. We use a principal component analysis-data envelopment analysis (PCA-DEA) model integrated with Shannon’s Entropy to evaluate quality efficiency of the consultants. We adopt a three-stage process to calculate the efficiency of service quality of the consultants. In the first stage, we use PCA to obtain 6 synthetic indicators, including 4 input indicators and 2 output indicators, from survey results in which questionnaire items are constructed on the basis of SERVQUAL model. In the second stage, 3 DEA models allowing negative values are used to calculate the relative efficiency of each DMU. In the third stage, the weight of each result is calculated on the basis of Shannon’s Entropy theory, and then we generate a comprehensive efficiency score using it. An example illustrates the proposed process of evaluating the relative quality efficiency of the loan consultants and how to use the efficiency to improve the service quality of the consultants.

The development of an appropriate public service quality model has become increasingly recognised as an important subject of interest in the public sector as well as academia. In particular, the public systems enacted by governments are widely used and have a significant impact on national competitiveness. But few researches have been conducted to explore the quality dimensions of a public system service and empirically examine the relationship among related variables. Therefore, in this study, we strive to develop a quality measurement model of public system service that can be effectively used in practice. Using 601 samples gathered through a structured survey from project engineers, a conceptual quality model of public system is presented and discussed. Given the exploratory nature of this study, an exploratory factor analysis is used to investigate quality dimensions and partial least square (PLS) is employed in determining the structural relationships. From empirical results, we found that the quality dimensions of the public system had four distinct quality dimensions (design quality, environment quality, primary outcome quality, additive outcome quality). All four quality dimensions showed good representative factors in explaining user satisfaction. Perceived trust was proved to significantly mediate the relationship between quality dimensions and user satisfaction. Our research is expected to contribute to the literature by providing a good conceptual framework for assessing public system quality by linking four quality dimensions with user satisfaction. In particular, the developed model can elaborately measure process quality and multi-functional outcome quality of the system by the supplementation of design quality and additive outcome quality respectively. Practical implications are also suggested on the basis of our analysis.

This research determined priority of quality improvement of public institution's education service by using ASC for importance and applying Topsis, a multi-standard decision-making method simplifying various attributes and scales of evaluation items and deciding the comparative priority for satisfaction and discussed the differences so as to measure the quality of public institution's educational service and examine the priority of education service' quality improvement. This research classified the characteristics of quality improvement. As a result, it's significant to suggest positive direction and method to improve satisfaction and education service's quality from an angle of demander by analyzing educational satisfaction of education service quality of public education institution and effects on the following improvement.

Mobile phone market, a market of the device leading the digital convergence as well as positioning itself as one of the national growth driving industry and as a daily necessity, is led globally by companies that have been actively responding to changes in the so-called Smart Revolution environment. Lately, however, the Smart Phone market is prospected to move from growth phase to mature phase by the scholars. In order for a company to proactively respond to the change in such market condition, it is imperative that they ensure absolute advantage in customer loyalty over their competitors by revolutionising the after-sales service(A/S) quality that will lead to service satisfaction. This study aims to configure what dimensions make up for mobile phone A/S quality, and how this quality affects customer satisfaction and loyalty as well as proposing directions for A/S quality improvement by identifying them case by case to see what dimensions have more impact on customer satisfaction.

The quality of service in ERP services is a key issue in innovating the ERP performance as an IT service for corporations. Currently, most of the research works for this area are based on the existing quality models such as SERVQUAL, which are said not to measure service quality properly. Also, it does not consider the factor of the system acceptance, which is thought to be closely related to the quality of service in this type of IT services. Therefore, a research model is required, which can address the issues related to the ERP service quality measurements. In this paper, new research models have been proposed, and empirical data obtained from SME’s ERP users have been applied to the proposed model to analyze the causal relationship between quality factors and to identify the most suitable quality measures. Also, the relationship between the service quality and the system acceptance was analyzed using a combined model. The results show that factors such as productivity and convenience affects the quality mostly and that the most appropriate measure for the service quality of ERP service is satisfaction. Also, for the system acceptance, the ease-of-use is the main factor. And, the service quality and system acceptance shows a strong correlation. This means that, in order to enhance the quality of ERP services, the service provider needs to provide customers with productivity-enhanced user-friendly IT services and active product support. The work of this research can help to improve the service quality and the user acceptance of ERP services and to lead further research works in this area.

IT security service provides customers with the capability of protecting the networked information asset and infrastructures, and the scope of security service is expanding from a technology-intensive task to a comprehensive protection system for IT environment. To improve the quality of this service, a research model which help assess the quality is required. Several research models have been proposed and used in various service areas, but few cases are found for IT security service. In this work, a research model for the IT security quality has been proposed, based on research models such as SERVQUAL and E-S-QUAL. With the proposed model, factors which affect the service quality and the best quality measure have been identified. And the feasibility of using quantitative measures for quality has been examined. For analysis, structural equation modeling and various statistical methods such as principal component analysis were used. The result shows that satisfaction is the most significant measure affected by the proposed quality factors. Two quality factors, fulfillment and empathy, are the main determinants of the service quality. This leads to a strategy of quality improvement based on factors of emotion and perception, not of technology. The quantitative measures are considered as promising alternative measures, when combined with other measures. In order to design reliable quantitative measures, more work should be done on target processing time and users’ expectation. It is hoped that work of this research will provide efficient tools and methods to improve the quality of IT security service and help future research works for other IT service areas.

Among recent management innovation activities of hotel, one of the most important competitive advantage through customer satisfaction, and to which members of the organization's service orientation is essential. The hotel's service orientation is closely related to the organization's culture. In this study, the organization's service-oriented culture, the internal service quality, emotional commitment and continued commitment and ultimately affects the employee's influence on customer orientation will look at that. Results and implications of this study can be summarized as follows. the internal service quality among the factors corporeality, responsiveness and assurance, empathy, job satisfaction showed a significant influence on the type of empathy and emotional commitment castle had a significant impact on. With these results, relationships with colleagues within the organization, such as work environment and job satisfaction and emotional commitment, the atmosphere is very important to know that you can affect. Therefore, the members of the hotel to increase customer satisfaction and organizational commitment, corporate culture, business as well as collaboration with colleagues to share the emotional atmosphere of sympathy for the business environment will get improved.

This paper reviewed the relationship between emotional labor and service quality, and the moderating effect of superior and coworker support. Based on the responses from 520 hotel employees, the results of multiple regression analysis appeared as follow; 1) deep acting affected positively on all service quality factors(responsiveness, empathy, reliability). 2) surface acting didn’t affect significantly on all service quality factors(responsiveness, empathy, reliability). 3) coworker support affected positively on the relationship between deep acting and responsiveness. 4) superior support affected positively on the relationship between deep acting and responsiveness, and on the relationship between surface acting and responsiveness.

IT security service protects their networked information asset and infrastructures using experts’ knowledge. To improve its service quality, by exploring quality factors and assessing the quality level, an approach based on a research model is required. Several research models have been proposed and used in various service area, but few cases of IT security service are found. In this work, a research model of service quality has been proposed, based on the existing research models such as SERVQUAL and E-S-QUAL. The factors which affect the quality of IT security service and the best quality measure including quantitative measures have been identified. By comparing them, the feasibility of using quantitative measures for quality measures has been addressed. For analysis, structural equation modeling and various statistical methods were used. The result shows that, among the three quality measures, satisfaction is the most significantly affected one by quality factors. The quantitative measures show positive correlation with other perceived quality measures. The analysis of the result provides several suggestions which can be used in measuring and improving the quality of IT security service. Emotional factors such as empathy are as important as the swiftness of service, which leads to a strategy of quality improvement based on customer satisfaction, not solely on technology only. And, in order to design reliable quantitative measures, standards such as rational target processing time should be first established. The work of this research will provide efficient tools to improve the quality of IT security service and help the quality research for other service areas.

농촌체험의 관심과 체험이 증가되는 상황에서 농촌체험의 지속성과 경쟁력의 확보 차원으로 서비스품질이 중요해지고 있다. 이 연구는 농촌체험을 경험한 서울지역 소비자를 대상으로 서비스품질과 고객만족, 고객만족과 추천의도 간의 관계를 분석하였다. 설문분석은 총 234부이며, 빈도분석, 신뢰도분석, 확인적 요인분석, 가설검정을 하였다. 분석결과는 다음과 같다. 첫째, 신뢰도의 크론바흐 알파값은 0.6 이상, 타당도의 요인적재량은 0.7 이상, 평균분산추출은 0.5 이상이 었다. 둘째, 확인적 요인분석의 모형적합도는, CMIN/DF, GFI, TLI, CFI, RMSEA이 전반적으로 적합하였다. 셋째, 가설검정의 결과, H1의 H1-2(유형성)와 H1-3(응답성)을 제외한 H1-1(신뢰성), H1-4(확신성), H1-5(공감성)는 고객만족 에 긍정적인 영향을 주었고, H2는 고객만족이 추천의도에 긍정적인 영향을 주었다. 따라서 농촌체험의 서비스를 이용자와 제공자 간의 상호작용으로 볼 때, 서비스품질에 대한 지속적인 개선이 필요할 것이다.

본 연구는 합창공연 서비스 품질을 다차원으로 구분하여 각 품질차원이 관람 후 행동의도에 어떻게 영향을 미치는지 알아보고 또한 각 품질차원의 상대적 영향력을 알아보고자 하였다. 합창공연 서비스 품질이 관람 후 행동의도에 미치는 영향관계를 살펴본 결과, 결과 품질, 물리적 환경 품질은 관람 후 행동의도에 긍정적(+)인 영향을 미치는 것으로 나타났지만 상호작용 품질의 경우에는 영향을 미치지 않았다. 또한, 결과 품질의 경우 물리적 환경 품질 보다 관람 후 행동의도에 더 큰 영향을 미치는 것으로 나타났다. 물리적 환경 품질의 경우 세부품질인 공연장 중앙무대의 매력성, 공연장 안내표지 시설 용이성, 공연장 관람좌석 편안함, 공연장 실내온도 및 습도 적당함의 순서로 관람 후 행동의도에 긍정적(+)인 영향을 미치는 것으로 나타났다. 상호작용 품질의 경우 세부품질인 공연장 직원의 정중함, 공연장 직원의 친절함, 공연장 직원의 약속처리, 공연장 직원의 완벽한 업무처리 순으로 관람 후 행동의도에 긍정적(+)인 영향을 미치는 것으로 나타났다. 결과 품질의 경우 세부품질이 행동의도에 미치는 영향관계를 살펴본 결과 합창공연의 흥미성, 합창공연 지휘자의 인기, 합창공연의 쉬운 이해, 합창단 예술적 수준의 순으로 관람 후 행동의도에 긍정적(+)인 영향을 미치는 것으로 나타났다. 따라서 합창공연을 준비하는 조직과 합창단은 관객의 관람 후 긍정적인 행동의도 및 행동을 위해 무엇보다도 합창자체에 대한 관객의 재미와 흥미를 유발할 수 있는 요소가 가미될 수 있도록 노력하고 합창공연 지휘자가 관객의 인기를 얻을 수 있도록 합창공연을 구성할 필요가 있다.

This paper reviewed the relationship between job burnout and service quality, and the moderating effect of self-efficacy. Based on the responses from 232 employees, the results of multiple regression analysis appeared as follow; 1) emotional exhaustion and depersonalization effected negatively on all service quality factors(empathy, reliability, responsiveness). 2) the reduced personal accomplishment effected negatively on two service quality factors(reliability, responsiveness). 3) self-efficacy effected positively on the relationship between emotional exhaustion and service quality. 4) self-efficacy effected positively on the relationship between he reduced personal accomplishment and service quality.