• Journal of Microbiology and Biotechnology
• /
• 제25권10호
• /
• pp.1768-1771
• /
• 2015

Human Fen1 protein (hFen1) plays an important role in Okazaki fragment processing by cleaving the flap structure at the junction between single-stranded (ss) DNA and doublestranded (ds) DNA, an intermediate formed during Okazaki fragment processing, resulting in ligatable nicked dsDNA. It was reported that hChlR1, a member of the cohesion establishment factor family, stimulates hFen1 nuclease activity regardless of its ATPase activity. In this study, we found that cohesion establishment factors cooperatively stimulate endonuclease activity of hFen1 in in vivo mimic condition, including replication protein-A-coated DNA and high salt. Our findings are helpful to explain how a DNA replication machinery larger than the cohesion complex goes through the cohesin ring structure on DNA during S phase in the cell cycle.

• Asia pacific journal of information systems
• /
• 제22권3호
• /
• pp.53-74
• /
• 2012

A challenge in fostering virtual communities is the continuous supply of knowledge, namely members' willingness to contribute knowledge to their communities. Previous research argues that giving away knowledge eventually causes the possessors of that knowledge to lose their unique value to others, benefiting all except the contributor. Furthermore, communication within virtual communities involves a large number of participants with different social backgrounds and perspectives. The establishment of mutual understanding to comprehend conversations and foster knowledge contribution in virtual communities is inevitably more difficult than face-to-face communication in a small group. In spite of these arguments, evidence suggests that individuals in virtual communities do engage in social behaviors such as knowledge contribution. It is important to understand why individuals provide their valuable knowledge to other community members without a guarantee of returns. In virtual communities, knowledge is inherently rooted in individual members' experiences and expertise. This personal nature of knowledge requires social interactions between virtual community members for knowledge transfer. This study employs the social capital theory in order to account for interpersonal relationship factors and identity theory for individual and group factors that may affect knowledge contribution. First, social capital is the relationship capital which is embedded within the relationships among the participants in a network and available for use when it is needed. Social capital is a productive resource, facilitating individuals' actions for attainment. Nahapiet and Ghoshal (1997) identify three dimensions of social capital and explain theoretically how these dimensions affect the exchange of knowledge. Thus, social capital would be relevant to knowledge contribution in virtual communities. Second, existing research has addressed the importance of identity in facilitating knowledge contribution in a virtual context. Identity in virtual communities has been described as playing a vital role in the establishment of personal reputations and in the recognition of others. For instance, reputation systems that rate participants in terms of the quality of their contributions provide a readily available inventory of experts to knowledge seekers. Despite the growing interest in identities, however, there is little empirical research about how identities in the communities influence knowledge contribution. Therefore, the goal of this study is to better understand knowledge contribution by examining the roles of social capital and identity in virtual communities. Based on a theoretical framework of social capital and identity theory, we develop and test a theoretical model and evaluate our hypotheses. Specifically, we propose three variables such as cohesiveness, reciprocity, and commitment, referring to the social capital theory, as antecedents of knowledge contribution in virtual communities. We further posit that members with a strong identity (self-presentation and group identification) contribute more knowledge to virtual communities. We conducted a field study in order to validate our research model. We collected data from 192 members of virtual communities and used the PLS method to analyse the data. The tests of the measurement model confirm that our data set has appropriate discriminant and convergent validity. The results of testing the structural model show that cohesion, reciprocity, and self-presentation significantly influence knowledge contribution, while commitment and group identification do not significantly influence knowledge contribution. Our findings on cohesion and reciprocity are consistent with the previous literature. Contrary to our expectations, commitment did not significantly affect knowledge contribution in virtual communities. This result may be due to the fact that knowledge contribution was voluntary in the virtual communities in our sample. Another plausible explanation for this result may be the self-selection bias for the survey respondents, who are more likely to contribute their knowledge to virtual communities. The relationship between self-presentation and knowledge contribution was found to be significant in virtual communities, supporting the results of prior literature. Group identification did not significantly affect knowledge contribution in this study, inconsistent with the wealth of research that identifies group identification as an important factor for knowledge sharing. This conflicting result calls for future research that examines the role of group identification in knowledge contribution in virtual communities. This study makes a contribution to theory development in the area of knowledge management in general and virtual communities in particular. For practice, the results of this study identify the circumstances under which individual factors would be effective for motivating knowledge contribution to virtual communities.

• 문화기술의 융합
• /
• 제9권5호
• /
• pp.635-647
• /
• 2023

산업의 지속적인 혁신을 위해서는 성장 잠재력이 높은 스타트업들이 지속적으로 나타나야 한다. 그동안 정부에서는 다양한 투자를 바탕으로 스타트업의 창업 지원 정책을 펴고 있으나, 여전히 스타트업은 창업 이후로 실패를 직면할 확률이 매우 높다. 이에 본 연구는 스타트업이 실질적으로 통제할 수 있으면서, 전략을 수립할 수 있는 내부적인 요인에 초점을 맞추어, 스타트업 내부 특성이 조직 결속을 통해 기업 성과에 미치는 영향을 실증적으로 분석하였다. 연구 결과, 스타트업의 내부적 요인 중 학습 지향성과 네트워크 지향성은 모든 종류의 조직 결속 하위요인에 유의한 영향을 미치고, 혁신성은 정서적 결속과 규범적 결속에는 유의한 영향을 미치지만, 지속적 결속에는 유의하지 않은 것이 확인되었다. 반대로, 재무적 특성, 글로벌 지향성은 지속적 결속에는 유의한 영향을 미치지만, 정서적 결속과 규범적 결속에는 유의한 영향을 미치지 않는 것을 확인하였다. 마지막으로 정서적 결속과 지속적 결속은 스타트업의 기업성과에 유의한 영향을 미치지만, 규범적 결속은 기업 성과에 유의한 영향을 미치지 않는 것을 확인하였다. 본 연구의 결과 및 시사점을 통해 오늘날의 환경을 반영한 스타트업의 인적자원 활용에 대한 발전 방향을 관련 기업 및 정부에 제공하고자 하였다.