• Management & Information Systems Review
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• v.28 no.4
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• pp.229-252
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• 2009

The purpose of this study is to find out the determinants of knowledge management adoption through the analysis which examine structural relationships among knowledge management-based structure, knowledge management activities and business performance using the BSC(Balanced Scorecard) perspective. This study also gives the suggestion for the effective knowledge management implementation in the korean companies. This study has been conducted using the data collected from 91 companies implementing knowledge management. By analyses of the questionnaires, empirical results show that 3 factors of knowledge management-based structure, except organizational structure, have positive effect on knowledge management activities, and the implementation of knowledge management activities has positive effect on business performance with 3 perspectives of BSC, except financial performance. This study showed that more consideration are essential to obtain balanced business performance for companies with knowledge management adoption plan.

• Journal of Distribution Science
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• v.11 no.5
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• pp.43-53
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• 2013

Purpose - The purpose of this study is to analyze the effectiveness of customer relationship management (CRM) support policies for facilitating traditional markets, especially with respect to customer acquisition and maintenance, and to investigate the factors affecting CRM. Research design, data, and methodology - We analyzed the CRM efficiency of traditional markets in 16 cities and provinces in Korea on the basis of DEA analysis and Malmquist productivity analysis. The DEA model calculates a ratio of the weighted mean of various inputs to the weighted mean of various outputs and measures the efficiency of a specific decision making unit (DMU), which is compared to the reference group that has a similar input-output structure. The input variables are coupon, event, parcel service, premiums, while is the number of customers per day. Further, through regression analysis, we analyzed CRM-related factors affecting traditional markets' customer appeal and revenue growth. Results - We obtained the results of the efficiency of traditional markets in 16 provinces. The traditional markets in Seoul, Busan, and Jeju were found to be efficient in a model CCR that used the number of customers per day as an output variable, while Chungbuk, Jeonbuk Province, and According to the results of the DEA analysis and Malmquist productivity analysis, large cities such as Seoul, Busan, and Jeju showed efficiency in CRM-related investment businesses in traditional markets for attracting customers. The Malmquist analysis results confirmed that the productivity of traditional markets increased from 2008 to 2010. The results of the regression analysis revealed that the "customer acquisition/maintenance factor" and the "offering of customer convenience facility factor" were significant to the daily average number of customers, which is a dependent variable. The results of the test with the mediating variable, "number of customers," and the final dependent variable, "sales revenue," were rejected. However, the variable "customer acquisition /maintenance" was found to affect sales revenue positively. Conclusions - It is necessary to enhance the business not only for promotional activities to attract customers, but also to strengthen customer relationships among CRM businesses, such as through the management of key customers. The regression analysis results showed that CRM businesses have yet to produce an increase in sales revenues in traditional markets. Therefore, to help customers who visit traditional markets to keep buying products, it is necessary to prepare various investment methods and provide support to improve "customer loyalty." This study has a limitation in terms of CRM-related statistics. Therefore, in the future, it is necessary to conduct a survey of customers who use traditional markets to analyze the markets by type and size as well as the CRM-related factors. Based on the analysis, we will try to perform a variety of statistical analyses, including structural equations.

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2002.10a
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• pp.162-162
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• 2002

염소소독 결과 수돗물 중에 존재하는 Dichloroacetic acid(DCAA)와 Trichloroacetic acid(TCAA)는 동물실험 결과 발암성 등 악영향을 일으키는 것으로 알려져 있다. 이러한 화합물들은 수돗물을 사용할 때 열을 가하면 그 농도가 변하게 된다. 이 연구에서는 설문조사를 통해 개인이 하루 동안에 섭취하는 수돗물의 양과 섭취패턴을 조사하고, 각 가정마다 수돗물의 농도를 측정하여 DCAA 및 TCAA에 대한 경구섭취 노출량을 평가하고자 실시하였다. 춘천에 위치하고 있는 60가정을 2002년 1월부터 2월 사이와 7월부터 8월 사이에 방문하여 수돗물을 채취하고, 주부를 대상으로 24시간 동안의 물 사용에 대한 설문을 실시하였으며, 아침 첫 소변을 회수하였다. 수돗물 및 소변 중 DCAA 및 TCAA에 대한 분석은 methyl ester 형태의 유도체를 만든 후 GC/PDECD로 분석하였다. 수돗물을 가열하면 DCAA의 농도는 증가하고, TCAA의 농도는 감소하였고, DCAA 및 TCAA의 경구 섭취량은 수돗물 중의 농도에 섭취부피와 가열시간에 따른 농도변화율을 곱하여 산출하였다. 실험 대상자들의 평균 수돗물 섭취부피는 1.7$\ell$이었고, 평균 가열시간은 10~15분이었다. 추정한 DCAA의 섭취량은 찬 수돗물만을 마시는 것을 가정한 것에 비해 182% 높았고, TCAA에 대해서는 30% 낮았다 이와 같은 결과는 우리나라 사람들의 식생활이 국이나 찌개 및 보리차 등과 같이 가열한 음식이나 음용수를 많이 섭취하기 때문이다. 그러므로 음용수 중 DCAA 및 TCAA의 인체 섭취 노출평가를 하기 위해서는 섭취한 부피뿐만 아니라 가열에 따른 농도 변화도 동시에 고려하여 야 한다.배 센타의 재고 완충역할을 수행하게 한다. 이에 따라 안전 재고 및 역 배송을 최소화 할 수 있을 뿐 아니라 미 출고로 인한 손실을 최소화하며 고객의 서비스를 일정하게 유지시킬 수 있을 것으로 기대된다.증진, 페기물 발생 억제 분야에 상당한 성공을 거두었으며, 지금도 지속적으로 유지 관리 및 미비한 부분(CAER, 등)의 향상에 노력하고 있다. Dow Korea의 수입 판매 부분에 주로 관련된 Product Stewardship 및 Distribution Code는 여러 사업부 및 여러 지역(미국, 유럽, 아시아 등)에 위치한 담당자가 관련된 까닭에 가장 복잡한 부분이어서 많은 인력과 시간을 소비하면서 노력하고 있으나 아직까지 소정의 목표에 도달하지 못했으며, 2000년 말에 모든 실행지침이 실행되도록 목표, 실행 계획 및 조직을 수정하여 노력하고 있다.lumn density at distant position from MD5 is larger than that in the (:entral region. We have deduced that this hot-core has a mass of 10sR1 which i:s about an order of magnitude larger those obtained by previous studies.previous studies.업순서들의 상관관계를 고려하여 보다 개선된 해를 구하기 위한 연구가 요구된다. 또한, 준비작업비용을 발생시키는 작업장의 작업순서결정에 대해서도 연구를 행하여, 보완작업비용과 준비비용을 고려한 GMMAL 작업순서문제를 해결하기 위한 연구가 수행되어야 할 것이다.로 이루어 져야 할 것이다.태를 보다 효율적으로 증진시킬 수 있는 대안이 마련되어져야 한다고 사료된다.$\

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.1-10
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• 2013

Personalization aims to provide customized contents to each user by using the user's personal preferences. In this sense, the core parts of personalization are regarded as recommendation technologies, which can recommend the proper contents or products to each user according to his/her preference. Prior studies have proposed novel recommendation technologies because they recognized the importance of recommender systems. Among several recommendation technologies, collaborative filtering (CF) has been actively studied and applied in real-world applications. The CF, however, often suffers sparsity or scalability problems. Prior research also recognized the importance of these two problems and therefore proposed many solutions. Many prior studies, however, suffered from problems, such as requiring additional time and cost for solving the limitations by utilizing additional information from other sources besides the existing user-item matrix. This study proposes a novel implicit rating approach for collaborative filtering in order to mitigate the sparsity problem as well as to enhance the performance of recommender systems. In this study, we propose the methods of reducing the sparsity problem through supplementing the user-item matrix based on the implicit rating approach, which measures the trust level among users via the existing user-item matrix. This study provides the preliminary experimental results for testing the usefulness of the proposed model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.177-188
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• 2019

Emotional labor is the process of regulating feelings or emotions and expressing them in the way that fulfill job requirement. There have been many studies about characteristics or related variables of service workers' emotional labor, but are few studies comparing emotional labor between service workers and non-service workers. Therefore we are to examine the differences of emotional labor among the different types of workers. And as depression and lowered quality of life are well known negative consequences of emotional labor, we also intend to study the relationship between depression, quality of life, and emotional labor. Data were collected from 125 sales workers, and 186 cyber university full time students. And as to assure the student participants to be non-service workers, we limited the participant job as administrator, soldier or housewife. To compare differences of groups, one-way ANOVA was performed with Fisher's LSD as post hoc comparison. On overload in customer reception, service workers showed significantly higher scores, and on demand of emotional regulation/emotional dissonance/depression, both service workers and housewives showed significantly higher scores. Also analysis of multiple regression was performed, and the result showed that, emotional dissonance increased depression but decreased quality of life, while support/care increased quality of life, but decreased depression. With the result, implications and limitations of this study were discussed.

• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.33-49
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• 2018

The importance of convergence activities among business is increasing due to the necessity of designing and developing new products to satisfy various customers' needs. In particular, decision makers such as CEOs are required to participate in networks between entrepreneurs for being connected with valuable convergence partners. Moreover, it is important for entrepreneurs not only to make a large number of network connections, but also to understand the networking relationship with entrepreneurs with similar topic information. However, there is a difficult limit in collecting the topic information that can show the lack of current status of business and the technology and characteristics of entrepreneur in industry sector. In this paper, we solve these problems through the topic extraction method and analyze the business network in three aspects. Specifically, there are C, S, T-Layer models, and each model analyzes amount of entrepreneurs relationship, network centrality, and topic similarity. As a result of experiments using real data, entrepreneur need to activate network by connecting high centrality entrepreneur when the corporate relationship is low. In addition, we confirmed through experiments that there is a need to activate the topic-based network when topic similarity is low between entrepreneurs.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.336-348
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• 2019

This study aimed to verify the effects of design thinking-based team project learning on nursing college students' empathy and proactivity of problem solving. This study also examined the subjects' experiences obtained from participating in team project activity through reflective analysis. The research was a one-group, pre-and-posttest design. The subjects were 64 seniors majoring in nursing studies in N university who had attended the course of nursing management practice. During the course, they participated in a design thinking team project for a total of 10 sessions for two weeks, five times per week, and one and a half hour per day. Data was analyzed using SPSS Win 22.0, a paired t-test was conducted and Pearson's correlation coefficients were calculated. Content analysis was carried out on their experiences obtained from participation in team project activity. The subjects' empathy(t=-2.94, p=.005) and proactivity of problem solving(t=-6.23, p<.001) showed statistically significant difference between before and after the design thinking-based team project learning and had significant positive correlation(r=.634, p<.001). Analysis of team reflection revealed four themes: design thinking, empathy, problem solving ability, and critical thinking. This study verified that design thinking-based team project learning was very effective in developing nursing college students' empathy and proactivity of problem solving. Research Results Design Thinking Based on team learning, project learning is an effective teaching learning method for finding and defining customer needs, creating a solution to problems, and enhancing engagement and empathy through various stakeholder collaborations I could.

• Journal of the Korean Applied Science and Technology
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• v.36 no.1
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• pp.90-101
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• 2019

The study wanted to compare the use status of general beauty salons and men's hair salons for male customers managed by male practitioners and to check the impact of service quality awareness on satisfaction and loyalty. A total of 405 people were used as analysis materials. Principle Component Analysis was used to verify the reliability and validity of the measurement tool. Sub-factors of service quality recognition have derived expertise, affinity, reliability and persistence. The validity and reliability of satisfaction and loyalty were verified. Based on the results of this study, the differences in hair involvement in general beauty salons and men's specialty salons, service quality awareness, satisfaction and loyalty were identified. The relationship between professionalism, affinity, reliability, persistence by sub-factor of service quality awareness has been identified with satisfaction, loyalty and statistically significant positive (+). In addition, male professional beauty salons had positive effects on service quality awareness of satisfaction and loyalty. Service quality satisfaction has been confirmed to have a positive impact on loyalty. In this study, the beauty of the men through the significant marketing potential use as basic data on the market feed that the portraits.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.141-158
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• 2022

This study identifies related factors by analyzing the effects of the psychological characteristics and competency factors of traditional market merchants on business performance, and at the same time verifies the moderating effect of government support policies. The research focus was on verifying the causal relationship. This study was conducted targeting the representative traditional market merchants in the metropolitan area who have experience in traditional market specialization projects or are currently in the process of specialization projects. An empirical study was performed based on the collected data. The analysis results are as follows. First, it was found that self-esteem as a psychological characteristic factor of merchants, customer management competency as merchant competency, and informatization capability had a significant positive (+) effect on financial performance among business performance. Second, as a result of examining the moderating effect of government support policies, it was found that product capability had a significant positive (+) effect on financial performance among business performance. It was found that self-esteem and product competency had a significant positive (+) effect on the will to continue business among business performance. The practical results of this study are the research papers to measure the business performance of traditional market merchants using the government support policy as a moderating variable, using the psychological characteristics and competency factors of traditional market merchants as independent variables. For this purpose, it will be positively evaluated that the psychological characteristics of merchants and merchant competency factors affect business performance, and that meaningful research results are derived by analyzing the moderating effect of government support.

• Information Systems Review
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• v.23 no.3
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• pp.159-176
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• 2021

Obviating user churn is a prominent strategy to capitalize on online games, eluding the initial investments required for the development of another. Extant literature has examined factors that may induce user churn, mainly from perspectives of motives to play and game as a virtual society. However, such works largely dismiss the service aspects of online games. Dissatisfaction of user needs constitutes a crucial aspect for user churn, especially with online services where users expect a continuous improvement in service quality via software updates. Hence, we examine the relationship between a game's quality management and its user base. With text mining and survival analysis, we identify complaint factors that act as key predictors of user churn. Additionally, we find that enjoyment-related factors are greater threats to user base than usability-related ones. Furthermore, subsequent quasi-experiment shows that improvements in the complaint factors (i.e., via game patches) curb churn and foster user retention. Our results shed light on the responsive role of developers in retaining the user base of online games. Moreover, we provide practical insights for game operators, i.e., to identify and prioritize more perilous complaint factors in planning successive game patches.