• Title/Summary/Keyword: Knowledge Transfer Process

Search Result 143, Processing Time 0.028 seconds

Systematic Review of Sustainable Knowledge Transfer Process in Government-Industry-Academia Consortium

  • Faisal, Rouhi;Chong, Aik Lee;Yee, Angelina Seow Voon
    • Asian Journal of Innovation and Policy
    • /
    • v.6 no.3
    • /
    • pp.295-312
    • /
    • 2017
  • The purpose of this case study is to understand the sustainability practices of knowledge transfer process at the Malaysian government-industry-academia consortium. At this stage in the research, the R&D consortium is defined as an established entity by two or more organizations that pool resources and shared decision making for cooperative research and development activities. In attempts to understand the formation, outcomes and sustainability of the sustainable knowledge transfer process, this paper conducted a systematic literature review based on Gough, Oliver and Thomas systematic reviews protocol. From the review, the data were enriched and enhanced with a better understanding of sustainable knowledge transfer process. The systematic review resulted in identifying six factors including internal and external perspectives. However, key sustainability factors are not only directly influencing KTP, and the consortium, but are also mediated by other organisational variables.

A Study on Management and Transfer of Knowledge/Information/Technology for Technopoleis Vitalization (과학기술단지 활성화를 위한 지식/정보/기술 관리 및 전파에 관한 연구)

  • Sung, Tae-Kyung
    • Asia pacific journal of information systems
    • /
    • v.10 no.4
    • /
    • pp.57-75
    • /
    • 2000
  • Most current literature on knowledge and technology transfer(Appropriability Model, Dissemination Model, and Knowledge Utilization Model), describe the process of transfer in details, but has limitation in terms of their application in contemporary high-tech industries since most studies have not provided plausible explanation on levels and factors affecting transfer of knowledge and/or technology. To overcome these limitations, the four levels of knowledge and technology transfer are suggested: Knowledge and Technology Creation(Level I), Sharing(Level II), Implementation(Level III), and Commercialization(Level IV). Comprehensive literature identifies sixteen variables affecting the process and results of knowledge and technology transfer. The survey results show four key factors in knowledge and technology transfer: Communication, Distance, Equivocality, and Motivation, Communication refers to the degree to which a medium is able to efficiently and accurately conveys task-relevant information and media while distance involves both physical and cultural proximity. Equivocality refers to the degree of concreteness of knowledge and technology to be transferred while motivation involves incentives for and the recognition of the importance of knowledge and technology transfer activities. Further analysis shows that there are four distinctive clusters and they show very contrasting characteristics in terms of four key factors. The careful mapping of the four clusters on the four key factors show very informative knowledge and technology transfer patterns, the Knowledge and Technology Transfer Grid. Finally, actions to increase communication interactivity and motivation, and to reduce cultural distance and equivocality are suggested.

  • PDF

An Empirical Analysis of the Effects of Information Technology on Knowledge Management Activity and Performance (정보기술이 지식경영활동과 성과에 미치는 효과에 대한 실증분석)

  • Choi, Eunsoo;Lee, Yooncheol
    • Knowledge Management Research
    • /
    • v.10 no.3
    • /
    • pp.51-80
    • /
    • 2009
  • The purpose of this study is to empirically analyze the impact that occurs when Korean organizations make practical use of various information technology tools and systems in the knowledge management process, such as sharing, learning and creating knowledge. Such a process is usually made through online and offline knowledge management activities. This paper also verifies how the externalization of tacit knowledge, and the internalization of explicit knowledge via the Internet and offline socialization activities have altered the mechanisms of knowledge transfers inside organizations. For the research, a survey was conducted on the satisfaction and usability levels of information technology, and the impact of IT usage on the results of knowledge management activities and knowledge transfers. 622 Korean organizations were surveyed, including major listed firms and public organizations. The results were examined as an online/offline integration process using SECI's Model proposed by Nonaka (1994, 1995). The analysis shows that information technology satisfaction and the usage of information technology help accelerate the pace of the knowledge flow and amplify the volume of the knowledge transfer by boosting the externalization and internalization processes-also known as knowledge management activities. However. there is no distinct correlation between information technology and socialization, an offline knowledge transferal activity. In particular, the quality of knowledge-an end result of knowledge transfer-does not improve merely by the externalization of online knowledge and instead requires the internalization of knowledge processes. Above all, the research reveals that offline socialization processes vastly contribute to the improvement of knowledge quality. This paper suggests that in order to ensure a transfer of quality knowledge, an organization or a company should focus on the use of information technology rather than the satisfaction level of information technology, and that knowledge transfers via the Internet has limitations in creating high quality of knowledge. For an organization to ensure the transfer of high-quality knowledge, the organization should not entirely hinge the transfer of knowledge online, as it is essential to have an offline method-a form of socialization such as a 'community of practice.'

  • PDF

A study of knowledge transfer effects in Korean venture startups : The role of knowledge origins, absorptive capacity, government, and venture capital (한국 벤처부문의 지식이전 효과에 대한 진단 : 지식속성, 흡수능력, 정부 및 시장의 복합적 효과)

  • Sohn, Dong-Won
    • Journal of Technology Innovation
    • /
    • v.18 no.1
    • /
    • pp.21-51
    • /
    • 2010
  • This paper examines the knowledge transfer effect in Korean venture systems. Existing literature has provided rich evidence of the effect of knowledge transfer, but we do not have micro mechanisms inherent in the process of knowledge transfer. This paper argues that knowledge transfer effects vary depending on the knowledge types, sources, and legacy. This paper also tests role of the two important pillars in knowledge transfer of Korean venture startups; venture capital and government. This paper also examines the role of absorptive capacity in the knowledge transfer process. With 1,862 sample of Korean venture firms, this study employed three methods depending on 3 different types of dependent variables: hierarchical regression, logistic regression, and survival analysis. Main findings include that 1) knowledge characteristic itself and its alignment with industry influence the knowledge transfer effects, 2) government support has a negative effect on financial performance of venture firms, but does not have significant interaction effect on knowledge transfer, and 3) the absorptive capacity of each firm moderates the knowledge transfer effects. The theoretical and practical implications are discussed.

  • PDF

Governance Structure for Knowledge Transfer in Global Business Process Outsourcing (글로벌 프로세스 소싱에서의 효과적인 지식이전을 위한 거버넌스 구조 연구)

  • Kim, Gyeung-Min
    • Information Systems Review
    • /
    • v.9 no.2
    • /
    • pp.1-14
    • /
    • 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.

An Analysis of the Influence of Knowledge Management Factors on Knowledge Transfer (지식이전에 대한 지식경영 요인의 영향 분석)

  • Oh Jay-In
    • The Journal of Information Systems
    • /
    • v.15 no.1
    • /
    • pp.191-213
    • /
    • 2006
  • The purpose of this research is to identify the structure among determining factors focusing on knowledge transfer and analyze and prove the causal relation on knowledge transfer in Korean companies and public corporations. The results from the analysis of data collected in this study are as follows. First, forum among organization related factors has the positive relation with uncertainty in a significant level. Second, the higher the knowledge presentation and the ease of use are among information systems related factors, the lower the ambiguity and uncertainty are. Third, among process related factors, unification has the negative relation with ambiguity and uncertainty in a significant level. Fourth, a better manpower employment contributes to a worse ambiguity and uncertainty. Fifth, ambiguity has a negative relation with knowledge transfer. In conclusion, the factors that lower the ambiguity and facilitate knowledge transfer include information systems, unification, and manpower employment. These factors, however, influence on uncertainty, which turns out to be nothing to do with knowledge transfer.

  • PDF

The Effects of IT Human Capability on Knowledge Transfer in Information Systems Outsourcing (정보기술 인적 역량이 지식 이전에 미치는 영향에 관한 연구: 정보시스템 아웃소싱 상황을 중심으로)

  • Park, Joo-Yeon;Kim, Joon-S.;Im, Kun-Shin
    • Asia pacific journal of information systems
    • /
    • v.16 no.2
    • /
    • pp.85-110
    • /
    • 2006
  • The objective of this research is to identify the process of knowledge transfer and to examine the effect of IT human capability on knowledge transfer in information systems outsourcing. Through a field survey, it is found that clients' IT human capability significantly affects on cooperative learning with vendors and knowledge transfer from vendors to clients. The survey also shows that clients' trust with vendors indirectly enhances the knowledge transfer by increasing the cooperative learning. This study provides a solution of knowledge transfer problem in information systems outsourcing. Also it brings out issues that can be accrued in the outsourcing situation, such as clients' dependency on vendors and knowledge asymmetries developed in favor of the vendors. These issues should be topics for future research on information systems outsourcing.

The Moderating Effects of Specificity of Technology in the Knowledge Transfer of Distributive Manufacturing MNEs (유통제조 기업의 해외 자회사 지식이전에서 기술특유성의 조절효과)

  • Cho, Yeon-Sung
    • Journal of Distribution Science
    • /
    • v.14 no.9
    • /
    • pp.121-132
    • /
    • 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.

Effect of Organizational Politics and Social Network on Knowledge Transfer (지식이전에 영향을 미치는 조직의 정치성향과 사회네트워크)

  • Lee, Jong-Won;Moon, Yun-Ji;Lee, Hyun-Jung;Kang, So-Ra
    • The Journal of the Korea Contents Association
    • /
    • v.11 no.6
    • /
    • pp.407-419
    • /
    • 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.

Enabling Factors Affecting Knowledge Transfer and Business Process of Community Enterprise Groups in Thailand

  • Nawapon Kaewsuwan;Ruthaychonnee Sittichai;Jirachaya Jeawkok
    • Journal of Information Science Theory and Practice
    • /
    • v.12 no.1
    • /
    • pp.1-20
    • /
    • 2024
  • This research aims to study and confirm enabling factors affecting the knowledge transfer and business process of community enterprise groups in Pattani province, Thailand. Key informants were community enterprise entrepreneurs; 30 people were selected purposively with criteria. This study used a mixed-methods approach and conducted semi-structured interviews to collect data. Qualitative data were analyzed using content analysis and classification, while quantitative data were analyzed using descriptive statistics with frequency, percentage, mean, and standard deviation. Moreover, inferential statistics chi-square value, Phi Cramer's V, and multiple regression analysis with the R program for statistical computing were employed to analyze the relationship between the variables, test the research hypothesis, and create forecasting equations. The research results revealed that the overview of enabling factors had a very high relationship (Cramer's V=0.965). Regarding community enterprise, it was found that enabling factors related to the knowledge transfer and business process consisted of four factors: regulations and administrative guidelines, business plan, reinforcement, and brainstorming. Reinforcement was the factor with the highest degree of correlation (Cramer's V=0.873) and predictor of influence on the knowledge transfer and business process (R2=0.670, p<0.05). This study's findings can lead to the developing of guidelines for promoting community enterprises properly and timely. These guidelines are expected to be used to develop knowledge about business models for community enterprises, which will help to improve their competency and competitiveness.