DocumentCode
2289181
Title
An empirical study on the relationship between properties of knowledge, network topology and corporation innovation performance
Author
Wang, Chang-Feng ; Zhang, Peng
Author_Institution
Sch. of Manage., Shandong Jiaotong Univ., Jinan, China
fYear
2009
fDate
14-16 Sept. 2009
Firstpage
1230
Lastpage
1237
Abstract
Drawing on a network perspective on interorganizational learning, this research argues that a corporation can enjoy better innovation performance if it builds reasonable network topology that provides access to new knowledge developed by other organizations. This effect, however, depends on corporations´ absorptive capacity, or sound management of its available knowledge. Data from 151 corporations show that the interaction between absorptive capacity and network topology has significant, positive or negative effects on corporation innovation performance. This study develops a research model that links the properties of knowledge, network topology and absorptive capacity to predict innovation performance. This model may help decision makers of those types of organizations to effectively turn knowledge into actions by matching their firms´ knowledge network topology and absorptive capacity to the particular properties of the knowledge that is going to be communicated.
Keywords
innovation management; knowledge management; organisational aspects; corporation absorptive capacity; corporation innovation performance; interorganizational learning; knowledge management; knowledge network topology; knowledge properties; Conference management; Engineering drawings; Engineering management; Innovation management; Knowledge engineering; Knowledge management; Network topology; Performance gain; Predictive models; Technological innovation; absorptive capacity; corporation innovation performance; network topology; properties of knowledge;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location
Moscow
Print_ISBN
978-1-4244-3970-6
Electronic_ISBN
978-1-4244-3971-3
Type
conf
DOI
10.1109/ICMSE.2009.5318085
Filename
5318085
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