• Information Systems Review
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• v.9 no.2
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• pp.1-14
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• 2007

The structure chosen to govern knowledge transfer in Inter Organizational Relationship(IOR) is often argued to be critical to the success of IOR. However, little research is done on the effective governance structure for knowledge transfer in global Business Process Outsourcing(BPO). The objective of this study is to explore the effective governance structure for knowledge transfer in IT intensive global BPO. Ground theory building methodology is used for this study. First, a generic framework on governance structure for knowledge transfer is derived from extant literature. The framework consists of potentially important constructs to study the governance mechanism for knowledge transfer. For the governance mechanism, this study focused on hierarchy/market structure, formal/informal control mechanisms and information systems. For knowledge type, the study focuses on sensitive knowledge, codifiable knowledge and non codifiable knowledge. This framework is applied to case analyses of two firms to explore effective governance mechanism to transfer each type of knowledge. As results of this study, pertinent propositions for future academic inquiry are derived.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.119-132
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• 2015

This study empirically examined which factors facilitate or disturb the learning and practical knowledge transfer in consulting and which factors have most powerful influence on the learning and transfer of consulting knowledge. Analysing 160 data collected from FTA origin managers in export companies, the study findings show the ambiguity(-), complexity(+), consulting competences(+), intervention design and delivery(+), self-efficacy(+) and government subsidies(+) significantly affected on Client's learning, while consultant's expertise(+), consulting involvement(+), transfer culture(+) significantly affected on consulting knowledge transfer, respectively. It showed that consulting competence and causal ambiguity have an greater influence on learning while consultant's expertise has a greater influence on consulting knowledge transfer, respectively. The findings implicate that consulting success depends on rather consultant's factors(consultant's expertise and consulting competence) than client's input factors. To succeed in consulting project, it is important that the consultants effectively develop and apply consulting methods & tools as shared interfaces between consultant and client.

• Journal of Distribution Science
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• v.14 no.9
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• pp.121-132
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• 2016

Purpose - This study has the following objectives. First, it seeks to build an integrated model that can analyze the path through which headquarters, subsidiary competence, and knowledge transfer performance influence subsidiary performance. Second, it analyzes the influence of the specificity of technology as a moderating effect factor on knowledge transfer process. Third, it will conduct an empirical analysis on distributive manufacturing MNEs and suggests an implication for companies that actually need technological localization. The difference of this study are as follows. First, unlike the existing studies, this study can expand a theoretical discussion as it uses subsidiary performance as the dependent variable. Second, it sets the specificity of technology as a moderating effect factor, not an antecedent, and can draw a theoretical implication. Research design, data, and methodology - This study built a path analysis model to identify the influence of the disseminative capacity and absorptive capacity of distributive manufacturing MNEs on subsidiary performance. Based on the previous studies, it set 19 items as 5 latent variables, and established 6 hypotheses by including the moderating effect of the specificity of technology between them. The final 203 companies were selected as analysis samples through a survey questionnaire. For empirical analysis, the study used PLS (Partial Least Square) that is based on structural equation model. Results - The empirical analysis result demonstrated that both headquarters' disseminative capability and subsidiaries absorptive capacity had a positive influence on knowledge transfer performance. Knowledge transfer performance also had a positive influence on subsidiary performance. In the analysis of moderating effect, the specificity of technology acted as a significant moderating variable only between knowledge transfer performance and subsidiary performance; it did not show a statistically significant moderating effect among disseminative capability, absorptive capacity, and knowledge transfer performance. Conclusions - The empirical analysis results of this study demonstrate the importance of disseminative capability and absorptive capacity in knowledge transfer to subsidiaries from the distributive manufacturing MNEs in Korea. The analysis on the moderating effect indicates that the specificity of technology in Korean companies influences on the process of making achievement by using the transferred knowledge.

• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.135-146
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• 2017

The purpose of this study is to review the relationship between managerial system and incremental innovation, and the mediating effect of knowledge transfer in small business. In order to verify and achieve the purposes mentioned above, questionnaire data were gathered and analysed from 255 enterprise managers in western Kangwon-do province. Empirical survey's findings are as follows; First, CEO's support and education/training appeared to be positively related with knowledge transfer. Second, managerial system and knowledge transfer appeared to be positively related with incremental innovation. Third, knowledge transfer had mediating effect on the relationships of CEO's support-incremental innovation and education/training-incremental innovation.

• 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 Korea Trade
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• v.25 no.4
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• pp.108-127
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• 2021

Purpose - On the basis of knowledge transfer theory, we empirically explored how three types of human resource (HR) innovation knowledge exchange within a Chaebol drive the global subsidiary performance of the headquarters (HQ) of a Chaebol's globally affiliated companies. Design/methodology - Using a sample of 176 Korean HQ firms of the top 53 Chaebols and 1,061 of their foreign manufacturing subsidiaries (n = 1,061), we tested the relationship between the exchange of explorative and exploitative sustainable HR innovation knowledge among HQ firms of Chaebols, their subsequent transfer of technical HR knowledge via technical schemas, and the subsequent impact on the global subsidiary performance. Findings - The Chaebols' decisions about the three strategic knowledge management options (i.e., the degree of exchange of explorative and exploitative technological HR innovation knowledge and the extent of HQ-subsidiary HR knowledge transfer) have highly significant relationships with the global subsidiary performance. The results help explains the conditions under which the explorative versus exchange of exploitative sustainable HR innovation knowledge pays off by showing the moderating role of the degree of HQ-to-subsidiary technical HR knowledge transfer, at least in the case of the Chaebol as one representative type of the emerging-market business groups. Originality/value - As the first of its kind in the field of sustainable HR innovation knowledge management at the business group level, the present study makes a clear contribution in demonstrating how the performance of Chaebols' manufacturing subsidiaries depends greatly on their strategy for management of knowledge, as reflected in the choices they make about sharing both explorative and exploitative sustainable HR innovation knowledge among HQ firms and the subsequent transfer of HQ's sustainable HR innovation knowledge to the foreign subsidiaries.

• Journal of Contemporary Eastern Asia
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• v.10 no.1
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• pp.15-23
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• 2011

This study focuses on the knowledge-transfer activities of Korean universities at the organisational level. Considering the idiosyncratic characteristics of the Korean university system, as well as those of universities in other recently developed Asian countries experienced a rapid economic catch-up, this study is more interested in the relationship between the scientific capacity of universities and their knowledge-transfer activities, and between universities' funding sources and their knowledge-transfer activities. According to the results of the study, scientific capacity in a specific discipline, such as engineering, is important for universities in both other developed countries and in Korea, while scientific capacity (regardless of the discipline) is apparently not important for Korean universities, particularly in the area of domestic publication. Furthermore, this result supports the proposition suggested that strategically chosen industrial sectors in rapid catch-up countries are closely related to the scientific capacity of universities in specific disciplines. In terms of funding sources, the amount of funding from industry is strongly related to the knowledge-transfer activities of universities, whereas the proportion of funding from industry relative to the total amount of funding is not as significantly related to knowledge-transfer activities. The failure to identify a significant relationship between central government funding and knowledge-transfer activities may be due to less strict requirements for commercialisation in central government R&D programmes. Otherwise, central government funding fails to generate meaningful knowledge-transfer activities in universities.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.407-419
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• 2011

This study explains the knowledge transfer process by exploring the significant factors affecting knowledge transfer within an organization from a socio-political perspective. Knowledge transfer occurs in various social contexts, within individuals and groups, and, thus, is closely linked to inter-organizational politics and social network in an organization. By conceptualizing knowledge as a socio-political process, this paper applies organizational politic theory and social network theory to knowledge management area. Here the paper shows that both organizational politics and social network such as in-group and out-group's tie strength have a significant effect on knowledge transfer. In addition, the study empirically verifies that knowledge management system has a moderating effect on the in-group's tie strength and knowledge transfer.

• Journal of the Korean association of regional geographers
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• v.23 no.1
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• pp.227-238
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• 2017

Under the knowledge-based economy, the function of university as an institution to create and diffuse new knowledge and technology is emphasized than ever before. Today, universities around the world find themselves going beyond the traditional roles of research and teaching to drive the development of local economies through collaborations with industry. This study aims to examine the university-industry collaboration and identify the aspects of knowledge transfer and exchange between university and external agencies and intends to explain in particular how the knowledge transfer of the university affects the innovation and competitive advantage of regional businesses. The analysis on the case study of Chonnam National University focusing on the knowledge transfer, in particular examined through the contracted or commissioned researches suggests that only a small portion of the knowledge generated by the university is transferred to Gwangju and Jeonnam region, thus it can be seen that knowledge transfer of Chonnam National University partially affects the development of the regional economy. However, it is analyzed that this knowledge transfer differs somewhat depending on the client's sectors and the contents of research contracts.

• Proceedings of the Technology Innovation Conference
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• 2001.06a
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• pp.133-143
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• 2001

Technology transfer from universities and research institutes to industries is recognized as a critical issue to strengthen industrial competitiveness, and the roles of technology transfer intermediaries are becoming one of the most important factors for successful technology transfer In today's global and knowledge-based economies, technology transfer services are started shifting to Internet and vertical transfer of technology from R&D labs to industries is becoming more emphasized than horizontal company-to-company transfer of commercialized technology. And the need of comprehensive technology transfer services necessitates cooperation among technology transfer intermediaries and networks offering complementary services. In order to respond to these changes, it is required to construct a new type of technology transfer system. But there are few researches on technology transfer system configuration for design and realization of technology transfer intermediaries. This paper presents the configuration models of technology transfer from universities and research institutes to industries. The configuration models are classified and described from the viewpoint of flows of information, technology and knowledge.