• The Journal of the Korea Contents Association
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• v.9 no.3
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• pp.204-214
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• 2009

The main purpose of this study is to examine the effect of QUMR to job attitude and job performance from a industrial relations management point of view. Concretely, it is confirmed whether there are effects of QUMR to organizational commitment, turnover intention and job performance of employee and whether there is a moderating effect of union membership status between QUMR and organizational commitment, QUMR and turnover intention, QUMR and job performance of employee. As a result of this study, firstly, there is a positive effect of QUMR to organizational commitment. Secondly, QUMR effects to turnover intention negatively. Thirdly, QUMR effects to job performance positively. Lastly, there is no moderating effect according to union membership status. On the basis of these study results, I suggested alternatives of business strategy for effective industrial relations management.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.418-443
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• 2023

Many organizations facilitate a host of online knowledge sharing communities to assist internal knowledge sharing and operation. The permeable boundaries and voluntary structures of online communities allow individuals to span community boundaries and affect member resources and structures. Although much research has been done on members' knowledge contribution in online communities, relatively little is known about how a member's contribution to a community is shaped by the cross-level interactions of member's external boundary spanning and the community's environmental scanning or membership fluidity. Drawing from the theoretical lens of boundary spanning and the external view of online communities, we take a multi-level approach in the analysis of the activities of 1,992 members of 126 communities internal to a global company. We find that a member's external boundary spanning activity (e.g., external knowledge acquisition via reading posts) has a positive effect, though at a decreasing rate, on subsequent internal knowledge contribution (e.g., posting replies in the member's home community). This positive effect is stronger in communities that are more active in environmental scanning or have fluid membership and weaker in communities that are less active in environmental scanning or have stable membership.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.99-109
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• 2020

Paid membership is a useful marketing method that can acquire long-term customers. This study benchmarked representative overseas memberships, Amazon Prime, Alibaba 88 Membership, and Rakuten Super Point, so that domestic shopping platform companies can refer to launch the paid membership. The membership services have in common: economic benefits, convenient experiences, and discriminatory treatment. Domestic companies should set the core customer value they want to deliver to consumers and organize the benefits so that paid membership can be operated from a long-term perspective. This study has a high practical contribution and it is necessary to conduct an empirical analysis of experts and a customer user survey in the future.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.418-420
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• 2002

다자간 그룹 통신에서는 일대일 통신과 다르게 그룹에 참여하는 참여자의 수가 많아지고, 각 참여자의 정보량이 많아짐에 따라 참여자들의 정보와 현재 상태 등을 체크하는 멤버쉽 관리 기능을 해 주는 구조가 필요하다. 본 논문에서는 이러한 다자간 통신에서 그룹에 참여하는 참여자들을 관리하는 그룹 관리 프로토콜의 한 부분인 멤버쉽 관리(Membership Management) 기능을 설계 구현하였다. 이러한 MM 기능은 클라이언트／서버 기반으로 동작하며, 서버측에서 모든 클라이언트의 멤버쉽을 관리한다. 설계된 멤버쉽 관리 기능의 알고리즘은 간단하기 때문에 그룹 통신에서 간단하고 효율적인 멤버쉽 관리를 할 수 있으며, 멤버쉽 관리를 서버측에서 함으로서 송신자측의 부담이 줄어든다. 본 논문에서는 멤버쉽 관리를 시험하기 위한 응용으로서 멀티캐스트 전송 프로토콜인 ECTP 배포판에 나온 응용을 사용하여 시험하였다.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.21-43
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• 2002

This paper examines internet shopping mall members' relationship quality and its antecedents variables. For this purpose, five types of membership customers' perceived variables, including convenience, product assortment, product information, shopping mall design, and service quality are proposed to affect customer satisfaction and consequently relationship quality. This study, which used data from customers of membership internet shopping malls, showed satisfactory data-fit to the proposed model and except product information hypothesis, supported all of research hypotheses. Also four types of membership customers' perceived variables(convenience, product assortment, shopping mall design, and service quality) take significant effect on customer satisfaction, and the satisfaction in turn have influence on relationship quality.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.523-524
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• 2014

Recently, Science museum have a key role in science and technology fields in the fusion of experience, paly and education. However, Services provided in science museum have lacked for interaction with customers and management systems for customers. Therefore, this study is for developing efficient membership model at science museum.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.321-327
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• 2014

Feature selection is the technique to improve the classification performance by using a minimal set by removing features that are not related with each other and characterized by redundancy. This study proposed new feature selection using the distance between the center of gravity of the bounded sum of weighted fuzzy membership functions (BSWFMs) provided by the neural network with weighted fuzzy membership functions (NEWFM) in order to improve the classification performance. The distance-based feature selection selects the minimum features by removing the worst features with the shortest distance between the center of gravity of BSWFMs from the 24 initial features one by one, and then 22 minimum features are selected with the highest performance result. The proposed methodology shows that sensitivity, specificity, and accuracy are 97.7%, 99.7%, and 98.7% with 22 minimum features, respectively.

• Korean Journal of Childcare and Education
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• v.12 no.6
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• pp.79-102
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• 2016

The purpose of this study was to identify school adjustment groups by applying a Latent Profile Analysis(LPA) and to investigate the effects of children's emotional problems and study habits on determining the membership of these groups. LPA and multiple logistic regression were conducted using the data of 2,200 third-graders from the Korean Children and Youth Panel Study. The results are listed as follows. First, four school adjustment groups were identified: adjustment, approach to adjustment, maladjustment risk, and maladjustment group. Second, accomplishment value and mastery goal orientation were relatively strong predictors of membership of the school adjustment groups. Time management was also a significant variable that predicted the membership of maladjustment or the maladjustment-risk group. Third, attention problems and depression were the most consistent predictors of membership of maladjustment or the maladjustment-risk group. Physical symptoms and social withdrawal were also significant. Based on the results, implications for intervention to promote early school adjustment were discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.2
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• pp.123-128
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• 2002

A fuzzy traffic controller with the control rules and the membership functions generated by using genetic algorithm is presented for crossroad management. Conventional fuzzy traffic controllers use control rules and membership functions generated by human operators. However, this approach does not guarantee the optimal solution to design fuzzy control system. Genetic algorithm is a good solution for an optimal problem requiring domain-specific knowledge that is often heuristic. In this paper, we use genetic algorithms to automatically determine the near optimal rules and their membership functions of fuzzy traffic controllers. The effectiveness of our method was shown through simulation of crossroad network.

• Journal of Global Scholars of Marketing Science
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• v.15 no.1
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• pp.105-120
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• 2005

The research regarding the important attribute which gives an effect to golf club membership purchase. 1990's as the golf boom as percentage shows the rapid increase of the golf course visitor and it grows, from 2001 are passing over ten million people golf course visitors. When purchasing golf club membership, it is important from the research which it sees the attributes which it thinks probably are what, it grasped and the scope of research did Seoul and the metropolitan area golf user in the object and it executed an empirical.analysis. In order to raise the reality and a reliability of research also it executed the collection and a Question investigation and a empirical analysis of various statistical data. The result of research a frequency analysis, descriptive analysis, factor analysis, multiple regression analysis and a correspondence analysis used the SPSS/PC+ 10.0 which and is a statistics package program. The results show that four dimensions of image were derived from 14 important attributes, using a factor analysis. A correspondence analysis indicates that statistically significant relationships existed between some of Golf club membership factors with respect to the demographic variables of income and Golf frequency. A multiple regression analyses also indicate that most of Golf club membership factors had great impacts on visitors' recommend.