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Knowledge Networks and Technological Capabilities in the African Manufacturing Cluster

Bibliographic Data

ID19450104
AuthorsBanji Oyelaran‐Oyeyinka (United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology, corresponding author), Banji Oyelaran-Oyeyinka (United Nations University/ Institute for New Technologies, Institute for New Technologies United Nations University, 6211-TC Maastricht, the Netherlands)
Year2003
Volume8
Issue1
Pages1-23
Publication date2003-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScience Technology and Society (JOURNAL)
Journal identifiersISSN: 0971-7218 • E-ISSN: 0973-0796
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/097172180300800101
OpenAlexW1972939011
LanguageEN
Citations received3
References cited15

Clusters are characterised by two dynamic elements: the rates and types of technological learning, and the nature and intensity of networking. Firms in early industrialisation are largely imitative innovators drawing on a variety of formal and informal sources such as licensing and reverse engineering. There is, therefore, a significant correlation between firm-level technological capabilities and external knowledge networks. We define a knowledge network as a structure of interlinked actors that facilitate the process of learning in firms and institutions in the process of innovation. This paper identifies emerging knowledge networks in African clusters, illustrating with new empirical data front clusters in Nigeria

Business · Dynamic Capabilities · Economic geography · Economics · Industrial organization · Industrialisation · Knowledge management · Computer Science · Firm Innovation and Growth · Innovation and Knowledge Management · Innovation and Socioeconomic Development · Artificial Intelligence

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Unique citing works3
Citations per year0.25
Citation span2014 - 2021 (8)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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