• Journal of Service Research and Studies
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• v.9 no.4
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• pp.97-114
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• 2019

The relationship quality and recovery of service failures perceived by consumers play an essential role in affecting the service provider's image and sales in terms of the highly involved service industry. In particular, implementation of successful relationship marketing strategies and effective recovery of service failures provide greater satisfaction for customers expecting customized services and reinforce the relationships between the companies and consumers. Based on these previous studies, this research conducted to find out the causal relationship between the variables influencing service recovery expectations and word of mouth(WOM) by approaching the severity of service failures from the perspective of relationship marketing and attribution theory. For the empirical analysis of this research, we conducted a questionnaire surveys of 360 service users of beauty salons, who have experienced in high-involvement services, and utilized 333 questionnaires for the final analysis. The hypothesis was experimented using the Structural Equation Model(SEM), and the results are as follows. First, we identified that the higher the customer perceived the severity of the service failure, the lower the quality of the relationship. Second, we verified that service users observed service failure as a temporary and uncontrollable factor as they distinguished service quality as higher. Third, the hypothesis that customers recognize service failures as a temporary one has a positive impact on service recovery expectation level is determined through empirical analysis. Forth, it was figured out that the higher the perceived quality of the relationship with the service provider, the higher the service recovery level expected by the consumers. At the same time, the hypothesis that optimism for service recovery expectation affects positive word of mouth has been verified. The results of this study help develop the customer-oriented business model of the service companies. Furthermore, the academic significance in that it suggested a new direction for the research of high-involvement service marketing.

• Journal of Korean Medicine Rehabilitation
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• v.30 no.2
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• pp.139-152
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• 2020

Objectives To explore the traffic injury patients' experience on health care utilization of Korean Medicine (KM) practice and perception of health care system for developing a Korean medicine clinical practice guideline (CPG) of traffic injuries by survey method. Methods Two hundred ten patients in suffering from traffic injuries were surveyed from September 1st, 2019 to January 31th, 2020 at 2 University Hospitals (Pusan National Korean Medicine Hospital and Kyung Hee Korean Medicine Hospital at Gangdong) and 1 Spine Specialty Hospital (Jaseng Hospital of Korean Medicine). A structured questionnaire of experience on health care utilization of KM practice and perception of health care system of was distributed to responders by visits and all data were statistically analysed. Results Survey results showed high satisfaction of patients with the experience of KM treatments in order of daoyin exercise (7.8±2.3), chuna manual therapy (7.7±4.0), pharmacoacupuncture (7.4±3.0) etc. Safety concerns were reported in 9.1% subjects and 205 (97.6%) patients answered that collaboration with KM and western medicine is necessary for patients with traffic injuries. For the patients' requirement for extending insurance coverage, the most required therapy was chuna manual therapy (57.5%) and pharmacoacupuncture (42.0%). Conclusions This study presented the realistic patient-centered perception of KM practice and health care system in Korea. These results will provide basic data to be reflected in the process of adaptation for the revision of Korean Medicine CPG for traffic injuries.

• Pediatric Infection and Vaccine
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• v.25 no.1
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• pp.17-25
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• 2018

Purpose: Blood culture is an essential diagnostic tool and requires clear indications, proper techniques, and quality control. We aimed to investigate whether blood cultures in children are appropriate for indications, are performed correctly, and receive proper quality control. Methods: We conducted an online survey targeting pediatric infectious diseases (ID) specialists working in general hospitals and neonatologists (Neo) working at hospitals operating a neonatal intensive care unit in Korea. Results: Approximately 81.1% (30/37) of pediatric ID specialists and 72.2% (52/72) of Neo responded to the survey. Some of the respondents (33.3% of ID and 59.6% of Neo) performed blood culture as a regular test irrespective of the indication. Approximately 40% of ID and 65.4% of Neo ordered only one set of blood culture in patients suspected with bacteremia. The most commonly used disinfectant for skin preparation was povidone-iodine, while the skin preparation method varied by institution. Approximately two-thirds of the institutions were monitoring the blood culture contamination rate, whereas relatively few provided staff with feedback on that rate. In addition, less than half of the institutions were providing regular staff training on blood culture (40% of ID and 28.8% of Neo). Conclusions: The indication and methods of blood culture for children varied according to institution, and few hospitals exert effort in improving the quality of blood culture. Institutions have to strive constantly toward improvement of blood culture quality and evidence-based recommendations for pediatric blood cultures should be standardized.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.657-665
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• 2019

The domestic railway parts and equipment manufacturing industry is mainly focused on SMEs, and the majority of them are suffering from profitability because they cannot build economies of scale. Besides, they have survived in the form of importing technology products from overseas advanced countries and delivering them to domestic railway operators rather than having in-house technology. Therefore it is necessary to study whether the problems of the current railway industry can be identified and improved and at the same time, whether the government's railway industry development policy is properly reflected. literature studies related to technology commercialization, and conduct surveys of AHP questionnaires on the experts of the manufacturing industry of SMEs, academics / research institutes of the railway industry. After that, the Level 3 activation method AHP analysis was additionally performed on the important factors of Level 2 that have the highest importance and priority in Level 1. As a result of the AHP analysis, 'Technical Connectivity' was the most important method in the technical factor, and SME experts and academic and research institute experts were highly evaluated for 'commercialization ability' Competence in terms of importance. As for external support factors, it was analyzed that SME experts "support for manpower development" was important, while the other two group experts research and development support was important. In this study, the priority of the government support and policy priorities are suggested according to the capabilities of the railway manufacturing SMEs before the future R&D support.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.37-52
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• 2021

Due to the spread of COVID-19, it is rapidly changing from face-to-face to non-face-to-face work environments and is changing to a digital work environment that can be accessed anytime, anywhere, providing convenience to all lives. However, the number of breaches, personal information leakage, and technology leakage targeting SMEs that are vulnerable to security continues to increase. Accordingly, the government has been continuously promoting the information security consulting support project for SMEs every year since 2014. Therefore, this study intends to develop a performance model and measurement methodology for continuous and more systematic support and efficient management of information protection support projects in consideration of the importance of information security for SMEs. It is intended to be used as basic data when setting future operational directions and goals. The main method of this study is to derive performance models and indicators for SME information security support projects based on domestic literature, case studies, and survey results, utilize expert advice to verify the developed performance measurement indicators, and use pilot-test questionnaires. Conduct evaluation through surveys. Based on the verified indicators, we would like to present a performance model and measurement index for the information security support project for SMEs.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.3
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• pp.238-255
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• 2023

In this study, we derived the characteristic factors of the cluster as measurable variables, and attempted to clarify the characteristics of the apparel sewing areas in Changsin-dong, Doksan-dong, and Jangwi-dong. Based on these results, a comparative analysis was conducted to see how the demand for the government's support policy differs for each agglomeration area. Materials were collected through face-to-face questionnaires targeting tenant companies in the three regions. As a result of the analysis, Changsin-dong was identified as an "innovative growth type," Doksan-dong as a "networking type," and Jangwi-dong as a "specialized localization type." As a result of the research on policy demands, the policy demands of the three agglomerations appeared different, but Changsin-dong preferred capacity building, Doksan-dong preferred information provision, and Jangwi-dong favored policy means of benefit. It was confirmed that even among clusters of the same apparel sewing industry, the formation process and characteristics are different, and as a result, the demand for policy instruments is also different. Policy recommendations include understanding the characteristics and policy demands of each agglomeration area through periodic fact-finding surveys, and recommending the establishment and implementation of differentiated support policies that match the characteristics of each agglomeration area.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1649-1660
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• 2006

IIn the United States, professional dress codes for working women have changed over time since the 1970s. Considering the changes, from conservative and traditional business uniforms in the 1970s, business casual in the late 1980s through 1990s, and the current revival of tailored business suits, this study investigated working women's business jacket practices and their association with personal, psycho-social, and physical characteristics. Working women's job satisfaction and corporate culture were also examined in relation to business jacket practices. Research data were collected by implementing mail surveys to 1,500 randomly selected working women in the United States. Of the 1,500 distributed questionnaires, a total of 312 were returned, of which 265 were deemed usable, yielding a 20.8% response rate. For data analysis, descriptive statistics, such as frequency, percentage distribution, mean scores, standard deviations, and Canonical Correlation were tabulated. The respondents ranged in age from 22 to 65. The mean age of the respondents was 44 years(SD=9.63). Most respondents were married(77.4%), working full-time(81.4%), career-oriented (77.2%), Caucasian(89.8%), had at least one child(78.9%), and had a professional job(75.9%). Working women's age, number of children, self-confidence in dressing, perceived importance of clothing, body frame size, and visibility to superiors and public were positively associated with business jacket practices, while age of first child, family size, dress size, and job satisfaction were negatively associated with business jacket practices.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.60-76
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• 2018

The objective of this study was to determine the effects of self-differentiation and ego-resilience on service maladjustment behaviors of Social Service Agent. To achieve this, we chose these research questions. To verify these research questions, data were collected by distributing 470 questionnaires to Social Service Agent serving in service organizations located in Seoul. Four hundred twenty-seven surveys were used for statistical analysis. The results of this study are as follows: First, Social Service Agents were shown to generally adjust well to service, as self-differentiation and ego-resilience were slightly higher than the median, while service maladjustment behavior was slightly lower than the median. Second, when the effects of sociodemographic characteristics, self-differentiation and ego-resilience on service maladjustment behavior were studied, all values of sociodemographic characteristics, self-differentiation and ego-resilience affected all lower factors of service maladjustment behavior with significance. For social withdrawal, the effectiveness of interpersonal relations, optimistic attitude, and the degree of family regression had a negative correlation, and emotional divorce, education level, and term of service had a positive correlation. The degree of family regression, anger management, and cognitive function vs. emotional function had a negative correlation with hyperactivity while self unity had a positive one. Family regression, cognitive function vs. emotional function, anger management, and family's economic level negatively correlated with aggression. Family regression, optimistic attitude, cognitive function vs. emotional function, family's economic level and term of service had a negative correlation with obsession and compulsion.

• Journal of The Korean Association For Science Education
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• v.36 no.2
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• pp.325-335
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• 2016

Software (SW) education is guided by the government to operate not only computer subject matter but also related subject matter. SW education is highlighted in the 2015 Revised Curriculum and Guide for Operating SW Education. SW education is related with science education. For example, education on algorithms employing SW and activities using sensors/output control can be an effective strategy for scientific inquiry. The method can also be applied in developing Computational Thinking (CT) in students. In this study, we designed lessons to solve everyday scientific problems using Educational Programming Language (EPL) SW and physical computing materials and applied them to high school students. We conducted surveys that were modified from questionnaires of Internet application capability and based on the standard of accomplishment of SW education as well as elements of CT to find out the change in perceptions on programming and CT of students. We also conducted a survey on students' attitude toward science learning after an SW inquiry activity. In the results, perceptions on programming and CT of students were improved through lessons using unplugged activity, EPL SW, and physical computing. In addition, scores for interest, self-directed learning ability, and task commitment were high.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.249-255
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• 2017

The domestic tourism industry mostly relies on quantitative surveys for customer satisfaction. However, customer participation of the questionnaires is extremely low and the improvement of the dissatisfactory factors is not being performed promptly. In this paper, we propose a new topic map system and prove its empirical effectiveness to improve the accuracy of customer feedback information and the efficiency of the analysis process. The topic map system is a system for analyzing large amounts of customer feedback data in real time. It uses text mining and ontology techniques by integrating data collected over a certain period from real-time SNS and quantitative data obtained from existing survey systems. The effect after improving the analyzed factors of dissatisfaction is also a new and innovative evaluation system for monitoring customer satisfaction in real time. The classification based on this integrated data is a classification system that is specific to the product or the customer. According to this classification, it is possible to measure the effect of the recognition and improvement of the complaint factor in real time on the topic map system. This provides a sophisticated prioritization of the improvement factors and enables customer satisfaction quality control as a PDCA feedback system. In addition, the survey period and costs are greatly shortened, and responses can be more precise to the existing survey method. As a practical application, this system is applied to the largest H travel agency in Korea to prove the accuracy and efficiency of the proposed system.