Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective
- Authors
- Hossain, Md. Dulal; Moon, Junghoon; Kang, Hyoung Goo; Lee, Sung Chul; Choe, Young Chan
- Issue Date
- Jan-2012
- Publisher
- SPRINGER
- Keywords
- Triple helix; Research & development; Bangladesh government; University; Industry; Innovations
- Citation
- SCIENTOMETRICS, v.90, no.1, pp.57 - 83
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- SCIENTOMETRICS
- Volume
- 90
- Number
- 1
- Start Page
- 57
- End Page
- 83
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166483
- DOI
- 10.1007/s11192-011-0507-6
- ISSN
- 0138-9130
- Abstract
- Triple helix (TH) collaborations involving university, industry and government provide a networked infrastructure for shaping the dynamic fluxes of knowledge base of innovations locally and these fluxes remain emergent within the domains. This study maps these emergence dynamics of the knowledge base of innovations of Research & Development (R&D) by exploring the longitudinal trend of systemness within the networked research relations in Bangladesh on the TH model. The bibliometric data of publications collected from the Science Citation Index (SCI), the social sciences and the arts and humanities for analysis of science indicators and the patent data collected from the US Patent Office to analyze the patent success ratio as a measure of innovation within TH domains. The findings show that the network dynamics have varied considerably according to the R&D policies of the government. The collaboration patterns of co-authorship relations in the SCI publications prominently increased, with some variation, from 1996 to 2006. Nevertheless, inter-institutional collaboration negatively influenced by the national science and technology (S&T) research policies in the last 5 years due to their evaluation criteria. Finally, the findings reveal that the R&D system of Bangladesh is still undergoing a process of institutionalizing S&T and has failed to boost its research capacity for building the knowledge base of innovations by neglecting the network effects of TH dynamics.
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