Pipes, pools, and filters: How collaboration networks affect innovative performance
networks, innovation, tacit knowledge, pipes knowledge, pool knowledge, filter
Research summary: Innovation requires inventors to have both new knowledge and the ability to combine and configure knowledge (i.e., combinatory knowledge), and such knowledge may flow through networks. We argue that both combinatory knowledge and new knowledge are accessed through collaboration networks, but that inventors' abilities to access such knowledge depends on its location in the network. Combinatory knowledge transfers from direct contacts, but not easily from indirect contacts. In contrast, new knowledge transfers from both direct and indirect contacts, but is far more likely to be new and useful when it comes from indirect contacts. Exploring knowledge flows in 69,476 patents and 89,930 unique inventors reveals evidence that combinatory knowledge from direct contacts and new knowledge from indirect contacts significantly affects innovative performance.
Original Publication Citation
Singh, H., Kryscynski, D., Li, X. & Gopal, R. 2016. Pipes, Pools and Filters: How collaboration networks affect innovative performance. Strategic Management Journal. 37 (8): 1649-1666.
BYU ScholarsArchive Citation
Singh, Harpreet; Kryscynski, David; Li, Xinxin; and Gopal, Ram, "Pipes, pools, and filters: How collaboration networks affect innovative performance" (2015). Faculty Publications. 3050.
Strategic Management Journal
Marriott School of Management
Copyright © 2015 John Wiley & Sons, Ltd.