• Knowledge Management Research
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• v.18 no.3
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• pp.37-62
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• 2017

Most of the managers know that knowledge sharing has to be precede to create knowledge which has competitive advantage of organizations. Until now the study on knowledge management placed emphasis on knowledge creation and knowledge sharing but there is few study on knowledge hiding. This study investigates the factors implicate on knowledge hiding intention and knowledge transfer intention of front-line workers and office workers and the implication on job performance of knowledge hiding intention and knowledge transfer intention. We collected sample data from 100 front-line workers and 250 office workers and verified hypotheses using Multiple Linear Regression. The result described that factors affect active and passive knowledge hiding intentions and factors affect knowledge hiding intentions of front-line workers and office workers are different.

• Knowledge Management Research
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• v.5 no.2
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• pp.1-23
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• 2004

Knowledge sharing, as well as knowledge creation, is the basis for an organization to maintain its competitive advantage. Organizations trying to use knowledge resources for strategic purposes or pursuing knowledge management are now paying more attention to methods to facilitate knowledge sharing. This study aims to find out the answers to the questions below. (1) Which relational or structural factors influence the intentions to share knowledge among groups? (2) Does the intension to share knowledge among groups really influence the knowledge sharing behavior? (3) What are the roles of accessibility on the relationship between intention to share knowledge and behavior of knowledge sharing? (4) Does the behavior of knowledge sharing really improve the effectiveness of knowledge sharing among groups? Findings of this study are summarized as follows. First, the positive relations of the relational and structural factors with the intention to share knowledge among groups are found. However, crisis intensity was found to have no meaningful influence on the intention to share knowledge among groups. After all we could see through additional analysis that it is in curvilinear relation, not linear relation. Second, we examined relation of the intention to share knowledge with the behavior of knowledge sharing among groups. Multiple regression analysis showed that intention to share knowledge among groups had a statistically significant influence on the behavior of knowledge sharing among groups. Third, the moderating effect of accessibility on the relation between the intention to share knowledge and the behavior of knowledge sharing was found to be statistically significant. Fourth, the relation between behavior of knowledge sharing and the effectiveness among groups was found to be statistically significant, but in a negative direction. The findings imply that the quantity of knowledge sharing does not always lead to the effectiveness of knowledge sharing.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.157-167
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• 2014

Increasing productivity of knowledge workers is a significant issue in the 21st century referred as knowledge-based society. The core key word is behavior of knowledge transfer among members of an organization. The objective of this study is to investigate a model based on Triandis theory and Social Capital theory. This explored the antecedent factors of knowledge Transfer in ITO(Information Technology Outsourcing) Organization. Data were derived from 42 respondents working IT Cooperation in Seoul, Korea. In this paper, we introduce the research model for the knowledge transfer. In order to validate the proposed research model, social network analysis tool, UCINET, a structural equation modeling tool, SmartPLS, was utilized. The empirical result showed that, all antecedent factors (intention of knowledge sharing, anticipated reciprocal relationships, subjective norm, closeness network centrality) of knowledge transfer behavior were significant. In conclusion, findings and implications were discussed and limitations of the study and future research directions were suggested.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.1
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• pp.63-76
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• 2011

The potential for brand dilution occurs when new brands merge with an identical image of a parent brand. Despite the significant attention regarding the effects of dilution on brand extension, there is limited research on brand dilution in the beauty industry. This study analyzes the effect of the typicality of extensional type on brand attitude or purchase intention for potential dilution toward beauty brand extension. In addition, we examine the moderating effect of knowledge transfer when customers evaluate the typicality of the extensional type for potential dilution toward beauty brand extensions. For the experiment, 4 description type factorial designs were performed. A total of 219 students participated in the experiment who had experience of visiting a beauty salon. The results are as follows. First, there are significant independent and interaction effects between the typicality and extensional type that reveals differential influences on the attitude or purchase intentions toward extended beauty brands. Second, the knowledge of the parent brand is transferred to extended brands. Third, there is a significant moderating effect of knowledge transfer, as customers evaluate the typicality of the extensional type for the potential dilution toward beauty brand extension. This study provides some theoretical and practical perspectives with some limitations.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.42.3-42
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• 2001

A human is an expert in manipulation. We have acquired skills to perform dexterous operations based upon knowledge and experience attained over a long period of time. It is important in robotics to understand these human skills, and utilize them to bring about better robot control and operation It is hoped that the neurocontroller can be trained and organized by simply presenting human teaching data, which implicate human intention, strategy and expertise. In designing a neurocontroller, we must determine the size of neurocontroller. Improper size may not only incur difficulties in training neural nets, e.g. no convergence, but also cause instability and erratic behavior in machines. Therefore, it is necessary to determine the proper size of neurocontroller for human control transfer. In this paper, a new pruning method is developed, based on the penalty-term methods. This method makes ...

• Knowledge Management Research
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• v.23 no.1
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• pp.47-67
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• 2022

Computer and Internet information technologies(ICTs) have changed the modern service industry and people's life style. In particular, the global spread of COVID-19 has attracted more attention to contact service types such as self-service technology. With the increase in labor costs and the enhancement of consumer self-awareness, more and more companies transfer part of their work to customers through their own service technology. This study seeks to answer the following questions. (1) Do technology difficulty and safety perception affect customer value recognition in the self-service technologies? (2) Does customer value recognition influence the intention to use such technologies continuously? This study conducted an empirical analysis with 327 samples to validate the influence of self-service characteristics(technology difficulty and safety perception) on customer value recognition and continuous utilization intentions. Also, it analyzes the moderating effects of age and frequency of use on the relationship between self-service characteristics and customer value recognition. The study results show that the technology difficulty does not affect the customer's perceived value recognition; and the higher the customer's value recognition, the higher the intention of continuous use.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.245-256
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• 2022

The purpose of this study is to provide comprehensive insights on the current research trends in entrepreneurship based on topic modeling and keyword co-occurrence analysis. This study queried Web of Science database with 'entrepreneurship' and collected 14,953 research articles between 2002 and 2021. The study used R program for topic modeling and VOSviewer program for keyword co-occurrence analysis. The results of this study are as follows. First, as a result of keyword co-occurrence analysis, 5 clusters divided: entrepreneurship and innovation cluster, entrepreneurship education cluster, social entrepreneurship and sustainability cluster, enterprise performance cluster, and knowledge and technology transfer cluster. Second, as a result of the topic modeling analysis, 12 topics found: start-up environment and economic development, international entrepreneurship, venture capital, government policy and support, social entrepreneurship, management-related issues, regional city planning and development, entrepreneurship research, and entrepreneurial intention. Finally, the study identified two hot topics(venture capital and entrepreneurship intention) and a cold topic(international entrepreneurship). The results of this study are useful to understand current research trends in entrepreneurship research and provide insights into research of entrepreneurship.