• 한국중재학회지:중재연구
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• 제20권3호
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• pp.93-120
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• 2010

In 1978, Chinese reform and opening caused a big changes in Chinese labor relationship. Through reforming and opening, China gave up part of state ownership system and group ownership system, permitted private ownership system, and also opened the way for capitalists to ride again. Since China was established, the labor relationship ceased for 30 years has been appeared. However because the top priority aim of China's reform was economic growth, the protection of the rights and interests of labor was pushed back on the policy priority list. China takes foreign capitals based on cheap labor force quickly and China come up the worldwide plants. Since reformed, China keeps an economic growth rate of 9.7% annually for 30years. This economic growth is based on labor's sacrifice. However, Chinese fast economic growth causes side effects such as increasement of the gap between the wealthy and the poor, increasement of unbalanced development between regions, and the increasement of conflict between labor and management. Especially, according to changes in labors' level of consciousness, the labors recognized that their rights and interests are exploited by employers. Therefore, the labor dispute is continuously increasing. Chinese government changes their policy from the policy focusing on enterprise development to the policy protecting labor's rights and interests. In order to protect labor's rights and interests, China conducts labor contract law and labor dispute conciliation arbitration law in 2008. This kind of changes in Chinese labor environment affect a lot to Korean companies which already entered into China or are willing to enter. According to studying on present situation and resolution system in Chinese labor dispute, this paper suggests the proper countermeasure related to labor dispute of Korean companies which entered in China. First, the success rate of labor dispute conciliation by enterprise labor dispute conciliation committee is around 20% during recent several years and the success rate by year is in decline. Therefore, when labor dispute is occurred, our companies which entered into China better use other labor dispute methods such as negotiation and arbitration than conciliation in order to settle a conflict. Second, from the Korean enterprises entered in China point of view, there exists a problem not to sue except special cases which provided in the law even though they are dissatisfied with arbitrate judgment. Thus, when labor dispute occurred, Korean enterprises try to do best to settle the dispute through negotiation. However, in case of that the dispute cannot be settled by negotiation, they have to attend in the arbitration as if it is a last chance. Third, Korean enterprises keep in mind that dispute handling procedures between labor union and users or between labor group and users are different, and then deal with separately. Thus, dispute between labor and users have to follow arbitrate procedures as a necessary procedure, but in case of dispute related to group contract, namely dispute against labor union, labor dispute can be settled by arbitrate or suit, so after figuring out the situation exactly, it is necessary to select more advantageous way in order to settle the dispute. Moreover, in case of the dispute between labor union, they have to keep in mind that conciliation procedures cannot be used.

• 디지털융복합연구
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• 제19권8호
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• pp.319-325
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• 2021

무선 기술의 고도화 및 이동통신 기술의 인프라가 빠르게 성장함에 따라 AI 기반 플랫폼을 적용한 시스템이 사용자의 주목을 받고 있다. 특히 사용자의 취향이나 관심사 등을 이해하고, 선호하는 아이템을 추천해주는 시스템은 고도화된 전자상거래 맞춤형 서비스 및 스마트 홈 등에 적용되고 있다. 그러나 이러한 추천 시스템은 다양한 사용자들의 취향이나 관심사 등에 대한 선호도를 실시간으로 반영하기 어렵다는 문제가 있다. 본 연구에서는 이러한 문제를 해소하기 위해 GRU(Gated Recurrent Unit) 언어 모델을 이용한 Fuzzy-AHP 기반 영화 추천 시스템을 제안하였다. 본 시스템에서는 사용자의 취향이나 관심사를 실시간으로 반영하기 위해 Fuzzy-AHP를 적용하였다. 또한 대중들의 관심사 및 해당 영화의 내용을 분석하여 사용자가 선호하는 요인과 유사한 영화를 추천하기 위해 GRU 언어 모델 기반의 모델을 적용하였다. 본 추천 시스템의 성능을 검증하기 위해 학습 모듈에서 사용된 스크래핑 데이터를 이용하여 학습 모델의 적합성을 측정하였으며, LSTM(Long Short-Term Memory) 언어 모델과 Epoch 당 학습 시간을 비교하여 학습 수행 속도를 측정하였다. 그 결과 본 연구의 학습 모델의 평균 교차 검증 지수가 94.8%로 적합하다는 것을 알 수 있었으며, 학습 수행 속도가 LSTM 언어 모델보다 우수함을 확인할 수 있었다.

• Journal of Information Technology Applications and Management
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• 제20권1호
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• pp.1-17
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• 2013

It has been found that users' characteristics are important variables that explain information systems adoption. These user groups, which are called COIs (Community Of Interests), might show different behaviors to each other to the same information system. We study differences in MDM (master data management) system adoption between military users and SI developers using TAM (Technology Acceptance Model). In case of military users, the perceived usefulness of an MDM system does not have impacts on intention to use an MDM system. Only the ease of use of an MDM system has impacts on intention to use an MDM system. However, in case of SI developers, both the perceived usefulness and the ease of use of an MDM system have impacts on intention to use an MDM system, which are similar to findings in previous studies. These results might be interpreted that users do not pay much attention to the usefulness in adopting a new information system in a centralized organization. They are obligated to use an information system whether it is useful or not. Thus the ease of use has more impacts on users than the usefulness.

• Journal of Information Technology Applications and Management
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• 제23권2호
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• pp.207-224
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• 2016

Investments in information and communication technologies (ICT) around the world have grown at an enormous rate over the past two decades, which reflects a new emphasis on consumer mobile devices. A social network service (SNS) is an online service that aims to build social relations among people who share interests and activities. The role of SNS is enormous for communicating ideas and opinions among social participants. The use of SNS has recently become one of the most popular social activities worldwide. This research investigated relation between personal characteristics, social characteristics and user satisfaction on SNS then, analyzed how these factors affecting continuance usage intention on SNS users. The conclusion is summarized as below. The study results show that informativeness, pleasure, innovativeness, relationship and empathy of SNS are having positive impact to some degree on the user satisfaction. Further, the user satisfaction of SNS users and quality of life have a positive impact on the continuance usage intention of SNS users. This results show that various SNS qualities are necessary to actively explore and obtain further information that users intend to find, while they are insufficient in function to provide the information other users require or exchange information with other users through the SNS.

• 한국정보통신학회논문지
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• 제18권7호
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• pp.1628-1633
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• 2014

본 연구는 스마트폰환경에서 사용자의 관심주제와 읽기습관을 분석하여 읽기 습관을 분석하여 관심 있는 뉴스기사를 추천 시스템을 제안하였다. 사용자가 직접 관심영역의 가중치를 정함으로서 관심주제의 기사를 우선적으로 보여 주어 사용자가 쉽게 관심기사를 읽을 수 있도록 하였다. 또한 사용자가 사회적으로 이슈가 되는 기사에 관심을 갖는 경우 이를 반영하기 위해서 단순히 기사를 클릭하고 읽지 않은 경우는 가중치를 낮게 설정하였으며, 기사를 끝까지 스크롤을 하고 기사를 끝까지 읽은 경우는 가중치를 높게 설정하였다. 특정 분야의 기사를 자주 읽은 경우는 XML의 구조정보를 사용하여 관심주제영역의 가중치를 높게 설정함으로써 관련분야의 기사를 우선적으로 볼 수 있도록 하였다.

• 디지털산업정보학회논문지
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• 제8권3호
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• pp.1-10
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• 2012

Recently, Social Network services(SNS) is gaining popularity as Facebook and Twitter. Popularity of SNS leads to active service and social data is to be increased. Thus, social search is remarkable that provide more meaningful information to users. but previous studies using social network structure, network distance is calculated using only familiarity. It is familiar as distance on network, has been demonstrated through several experiments. If taking advantage of social context data that users are using SNS to produce, then familiarity will be helpful to evaluate further. In this paper, reflect user's attention through comments and tags, Facebook context is determined using familiarity between friends in SNS. Facebook context is advantageous finding a friend who has a similar propensity users in context of profiles and interests. As a result, we provide a blog post that interest with a close friend. We also assist in the retrieval facilities using Near Field Communication(NFC) technology. By the experiment, we show the proposed soicial search method is more effective than only tag.

• 대한설비관리학회지
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• 제23권4호
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• pp.57-64
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• 2018

User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

• International Journal of Computer Science & Network Security
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• 제21권1호
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• pp.174-183
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• 2021

The advent of social media has revolutionized the speed of communication between millions of people around the world in various cultures and disciplines. Social media is the best platform for exchanging opinions and ideas, interacting with other users of similar interests and sharing different types of media and files. With the phenomenal increase in the use of social media platforms, the need to pay attention to protection and security from attacks and misuse has also increased. The present study conducts a comprehensive survey of the latest and most important research studies published from 2018-20 on security and privacy on social media and types of threats and attacks that affect the users. We have also reviewed the recent challenges that affect security features in social media. Furthermore, this research pursuit also presents effective and feasible solutions that address these threats and attacks and cites recommendations to increase security and privacy for the users of social media.

• Journal of applied mathematics & informatics
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• 제41권6호
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• pp.1327-1339
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• 2023

World Wide Web (WWW) use has been increasing recently due to users needing more information. Lately, there has been a growing trend in the document information available to end users through the internet. The web's document search process is essential to find relevant documents for user queries.As the number of general web pages increases, it becomes increasingly challenging for users to find records that are appropriate to their interests. However, using existing Document Information Retrieval (DIR) approaches is time-consuming for large document collections. To alleviate the problem, this novel presents Spatial Clustering Ranking Pattern (SCRP) based Density Ant Colony Information Retrieval (DACIR) for user queries based DIR. The proposed first stage is the Term Frequency Weight (TFW) technique to identify the query weightage-based frequency. Based on the weight score, they are grouped and ranked using the proposed Spatial Clustering Ranking Pattern (SCRP) technique. Finally, based on ranking, select the most relevant information retrieves the document using DACIR algorithm.The proposed method outperforms traditional information retrieval methods regarding the quality of returned objects while performing significantly better in run time.

• 한국프랜차이즈경영연구
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• 제15권1호
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• pp.11-27
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• 2024

Purpose: This study empirically examines the bandwagon effects on the adoption of Kiosks for the restaurants' owners. Utilizing Davis (1989)'s Technology Acceptance Model as a framework, this study contributes to the literature by adding a bandwagon effect variable. Bandwagon effect has been studied extensively on the consumer marketing domain in terms of end-user behavior, but not on the business owners' willingness to invest on the new technology. Research design, data, and methodology: Davis (1989)' Technology Acceptance Model with added a bandwagon effect variable was set as a theoretical model. Data was collected via survey instrument from restaurants' owners who purchased or are considering a Kiosk. Structural Equation Modeling was used to empirically test the proposed model. Results: Results show that bandwagon effect is indirectly affecting to the adoption of Kiosks via perceived usefulness, trustworthiness, and interests. The bandwagon effects are NOT directly affecting the adoption of Kiosks. Conclusion: The findings suggest that buyers of Kiosks as storeowners (not end users) consider buying them after storeowners check perceived interests and trustworthiness from others. Thus, there could be a practical implication that it is important to illustrate perceived interests for the business to the storeowners when marketing new technology.