• 지식경영연구
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• 제18권4호
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• pp.261-286
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• 2017

Key factors enhancing transfer behavior of training and knowledge sharing are of great interest to researchers and executives because training transfer and knowledge sharing activities are remarkable predictors of organizational growth. This study investigates the core motivations for boosting transfer behavior of training and knowledge sharing. To empirically test the impacts of employee training, servant leadership and self-efficacy, a survey was conducted in small-medium sized companies. The data (N=292) were analyzed using structural equation modeling analysis. The results indicate that higher employee training positively leads to self-efficacy and transfer behavior of training. Servant leadership is positively leads to self-efficacy, transfer behavior of training, and knowledge sharing. Self-efficacy of employees induces greater transfer behavior of training and knowledge sharing. Finally, transfer behavior of training encourages workers to increase knowledge sharing. This study represents an initial step to examine the psychological mechanism of improving employees' transfer behavior of training and knowledge sharing activities based on the employee training qualities and servant leaderships.

• 지식경영연구
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• 제12권2호
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• pp.1-16
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• 2011

This study examined the influence of the antecedents of knowledge transfer from both the knowledge source's and recipient's perspectives using a social network survey. Prior research usually focused on either perspective of the knowledge source or recipient, thus could not include both. Analyzing the responses from 335 R&D employees of the five firms, the study showed that all antecedents of knowledge transfer - reward, reciprocity, subjective norm, and perceived behavioral control - are influential on knowledge transfer from the knowledge source's perspective. However, from the knowledge recipient's perspective, perceived behavioral control was influential on the quality of knowledge transfer and subjective norm was on the number of knowledge recipients. Expected reward and reciprocity did not show significant influence. This study proved that the necessity of considering both the knowledge source's and the recipient's perspectives when measuring knowledge transfer and the importance of intrinsic motivations, such as subjective norm and perceived behavioral control.

• 디지털산업정보학회논문지
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• 제10권1호
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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.

• 지식경영연구
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• 제11권3호
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• pp.13-29
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• 2010

This study aims to investigate the effect of mentoring functions (career development, role modeling, and psychosocial function) on the motivation to adopt knowledge and the success of knowledge transfer in formal mentoring relations. There are considerable empirical investigation into the antecedents and consequences of mentoring, such as organizational commitment, organizational citizenship behavior, job satisfaction, In this paper, based on the relevant literatures, hypotheses are established and empirically tested that are about the effect of mentoring functions on the motivation to adopt knowledge, and the effect of motivation to adopt knowledge on the success of knowledge transfer. Using a sample of 287 service industry employees, the empirical results shows that career development and role modeling functions ware positively related to motivation to adopt knowledge, but psychosocial function was not significantly related. In addition, the motivation to adopt knowledge was positively related to the success of knowledge transfer. Based on these findings, implication and future direction are discussed.

• 지식경영연구
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• 제5권2호
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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.

• 지식경영연구
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• 제19권4호
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• pp.19-37
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• 2018

Knowledge transfer among employees integrates individual knowledge scattered within a firm, thus increases organizational effectiveness. In particular, the role of knowledge broker, which enables knowledge sharing across multiple teams or subunits, is critical for the success of knowledge management. This study classified the types of knowledge broker that facilitates knowledge flows among team, and examined the influences of various intra- and inter-team social networks. Survey responses from 128 employees of four R&D teams were gathered and analyzed using partial least square structural equation modeling. The results of analysis showed that all types of inter-team networks(i.e., emotional closeness network, frequency of interaction network, and perceived expertise network) had significant influences on related knowledge brokerage behaviors. In case of intra-team networks, only the emotional closeness network showed significant influence. These results proved the necessity of managing various types of intra- and inter-team networks to encourage knowledge brokerage behaviors within a firm.

• 디지털산업정보학회논문지
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• 제14권2호
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• pp.133-141
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• 2018

The purpose of this study was to propose a model of knowledge transfer in IT outsourcing. In this study, structural holes were chosen as antecedent factors, and job performance as a consequence factor. We conducted a survey in which we collected data from 42 respondents working in one of the leading IT companies in Seoul, South Korea. The data were analyzed using UCINET 6 and SmartPLS 2.0. The antecedent factors (structural holes in closeness network and in professional network) turned out to be statistically significant. Knowledge transfer considerably influenced job performance. Lastly, implications and limitations of these findings were discussed, and directions for future research were suggested.

• 지식경영연구
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• 제1권1호
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• pp.1-18
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• 2000

Knowledge management has recently emerged as an appealing subject in management literature. Although its history is short, it can benefit greatly from the long history of other related disciplines in building its theories. Innovation, organizational learning, knowledge creation, organizational capability building, technology transfer and network, information technology, organizational behavior, and intellectual capital are the disciplines that have accumulated theories related to knowledge management. This paper first presents a conceptual framework that integrates three dimensions: the characteristics of knowledge (tacit and explicit), knowledge process (acquisition, creation, diffusion, storing, measurement, and application of knowledge), and the unit of analysis (individual, organization, sector, and nation). The conceptual framework produces a number of cells that need to be filled by new theories in order to understand knowledge management better. It then reviews existing theories available in the related disciplines that may be used as building blocks in constructing new theories for these cells. Finally, based on the theories available in other disciplines, the paper suggests a set of future research directions for knowledge management at the level of individual, organization, sector, and nation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.77-92
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• 2020

When automatic speech recognition (ASR) is provided as a cloud service, it is easy to collect voice and application domain data from users. Harnessing these data will facilitate the provision of more personalized services. In this paper, we demonstrate our transfer learning-based knowledge service that built with the user-generated data collected through our novel system that deliveries personalized ASR service. First, we discuss the motivation, challenges, and prospects of building up such a knowledge-based service-oriented system. Second, we present a Quadruple Transfer Learning (QTL) method that can learn a classification model from a source domain and transfer it to a target domain. Third, we provide an overview architecture of our novel system that collects voice data from mobile users, labels the data via crowdsourcing, utilises these collected user-generated data to train different machine learning models, and delivers the personalised real-time cloud services. Finally, we use the E-Book data collected from our system to train classification models and apply them in the smart TV domain, and the experimental results show that our QTL method is effective in two classification tasks, which confirms that the knowledge transfer provides a value-added service for the upper-layer mobile applications in different domains.

• 한국치위생학회지
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• 제18권4호
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• pp.585-595
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• 2018

Objectives: The purposes of this study were to comprehend the subjective dental health status and the level of dental health knowledge in some middle school students and to analyze the correlation with dental health behaviors. Methods: A survey was conducted in some middle school students and the final 637 survey data were analysed. As the statistical analysis methods, the subjective dental health status, dental health knowledge and dental health behaviors according to the general characteristics were analyzed by independent t-test, one way ANOVA and Scheffe. The correlations among the subjective dental health status, dental health knowledge and dental health behavior were found by Pearson's correlation and multiple regression analysis. Results: Through correlation analysis of the subjective dental health status, dental health knowledge and dental health behavior, all showed a significant correlation. As a result of the factor analysis affecting dental behaviors, subjective dental health status was the highest (${\beta}=0.304$, p<0.001). Conclusions: The results of this study suggest that the improvement of subjective dental health status and dental health knowledge related to dental behaviors health in the middle school students should be considered. In addition, dental health education should focus on improving subjective dental health status through motivation rather than knowledge transfer training. Moreover, development programs appropriate for the middle school students whose behavioral changes are hard to obtain are needed.