TY - JOUR
T1 - Identifying the structure of knowledge networks in the US mobile ecosystems
T2 - patent citation analysis
AU - Lee, Sanghoon
AU - Kim, Wonjoon
AU - Lee, Hakyeon
AU - Jeon, Jeonghwan
N1 - Publisher Copyright:
© 2015 Taylor & Francis.
PY - 2016/4/20
Y1 - 2016/4/20
N2 - With the emergence of smartphones, the paradigm of the mobile ecosystem has changed rapidly. In particular, global mobile firms focus on technological competition when jostling for market position in recognition of the strategic need to secure a strong mobile platform. In this paper, we analyse the network structure of technological knowledge flows in mobile ecosystems using US patent citation information. We find that two subsectors, platform providers and application and software providers, are at the centre of knowledge exchange activity and play a brokerage role as the key knowledge mediator. Then, we categorise mobile firms into five different groups based on the patterns of their network centrality: knowledge keystone players, knowledge-distributing mediators, knowledge-absorbing mediators, catch-up players, and pure knowledge receivers. The categorisation of firms demonstrates that knowledge flows in the mobile industry converge towards a few leading firms, and such patterns are shaping the mobile ecosystem with respect to technological knowledge. The firms categorised as catch-up players have played a brokerage role within their group, while the firms categorised as knowledge keystone players play a brokerage role across different groups.
AB - With the emergence of smartphones, the paradigm of the mobile ecosystem has changed rapidly. In particular, global mobile firms focus on technological competition when jostling for market position in recognition of the strategic need to secure a strong mobile platform. In this paper, we analyse the network structure of technological knowledge flows in mobile ecosystems using US patent citation information. We find that two subsectors, platform providers and application and software providers, are at the centre of knowledge exchange activity and play a brokerage role as the key knowledge mediator. Then, we categorise mobile firms into five different groups based on the patterns of their network centrality: knowledge keystone players, knowledge-distributing mediators, knowledge-absorbing mediators, catch-up players, and pure knowledge receivers. The categorisation of firms demonstrates that knowledge flows in the mobile industry converge towards a few leading firms, and such patterns are shaping the mobile ecosystem with respect to technological knowledge. The firms categorised as catch-up players have played a brokerage role within their group, while the firms categorised as knowledge keystone players play a brokerage role across different groups.
KW - Brokerage measurement
KW - knowledge flows
KW - mobile ecosystem
KW - network analysis
KW - patent citation
UR - http://www.scopus.com/inward/record.url?scp=84958184995&partnerID=8YFLogxK
U2 - 10.1080/09537325.2015.1096336
DO - 10.1080/09537325.2015.1096336
M3 - Article
AN - SCOPUS:84958184995
SN - 0953-7325
VL - 28
SP - 411
EP - 434
JO - Technology Analysis and Strategic Management
JF - Technology Analysis and Strategic Management
IS - 4
ER -