Organizing Knowledge Production Teams Within Firms for Innovation
Vikas A. Aggarwal (),
David H. Hsu () and
Andy Wu ()
Additional contact information
Vikas A. Aggarwal: INSEAD, 77305 Fontainebleau, France
David H. Hsu: The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104
Andy Wu: Harvard Business School, Harvard University, Boston, Massachusetts 02163
Strategy Science, 2020, vol. 5, issue 1, 1-16
Abstract:
How should firms organize their pool of inventive human capital for firm-level innovation? Although access to diverse knowledge may aid knowledge recombination, which can facilitate innovation, prior literature has focused primarily on one way of achieving that: diversity of inventor-held knowledge within a given knowledge production team ( within-team knowledge diversity ). We introduce the concept of across-team knowledge diversity , which captures the distribution of inventor knowledge diversity across production teams, an overlooked dimension of a firm’s internal organization design. We study two contrasting forms of organizing the firm-level knowledge diversity environment in which a firm’s inventors are situated: diffuse (high within-team diversity and low across-team diversity) versus concentrated (low within-team diversity and high across-team diversity). Using panel data on new biotechnology ventures founded over a 21-year period and followed annually from inception, we find that concentrated structures are associated with higher firm-level innovation quality, and with more equal contributions from their teams (and the opposite for diffuse structures). Our empirical tests of the operative mechanisms point to the importance of within-team coordination costs in diffuse structures and across-team knowledge flows in concentrated knowledge structures. We end with a discussion of implications for future research on organizing for innovation.
Keywords: knowledge recombination; organization design; teams; diversity; innovation; human capital (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
https://doi.org/10.1287/stsc.2019.0095 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orstsc:v:5:y:2020:i:1:p:1-16
Access Statistics for this article
More articles in Strategy Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().