EconPapers    
Economics at your fingertips  
 

Digital Science and Knowledge Boundaries in Complex Innovation

Deborah Dougherty () and Danielle D. Dunne ()
Additional contact information
Deborah Dougherty: Department of Management and Global Business, Rutgers Business School, Rutgers University, Newark, New Jersey 07101
Danielle D. Dunne: Schools of Business, Fordham University, New York, New York 10019

Organization Science, 2012, vol. 23, issue 5, 1467-1484

Abstract: Drug discovery is a complex innovation process in which scientists need to make sense of ambiguous findings and grapple with numerous unpredictable interdependencies over many years of product development. Digitalization has combined with expanding science to address this complexity, creating new ways to measure, analyze, and model chemical compounds, diseases, and human biology. We interviewed 85 scientists and managers working on drug discovery to understand how they deal with complexity. We find a major knowledge fault line between digital scientists, who use computers as laboratories and manipulate signs, and therapy scientists, who use conventional laboratories and manipulate physical material. We build on research on epistemic cultures and knowing in practice to develop empirically grounded theory for the role of digital science in complex innovation. We propose that digitalization creates a new form of knowledge that provides essential complementary insights for complex innovation that cannot exist otherwise. However, digitalization also creates new knowledge boundaries that concern central activities of innovation. These boundaries highlight challenges of complex innovation that digital sciences can help address, but only if the innovation activities are transformed so that digital and therapy sciences can integrate their complementary knowledge.

Keywords: technology and innovation; organizational processes; organizing for innovation (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)

Downloads: (external link)
http://dx.doi.org/10.1287/orsc.1110.0700 (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:ororsc:v:23:y:2012:i:5:p:1467-1484

Access Statistics for this article

More articles in Organization Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ororsc:v:23:y:2012:i:5:p:1467-1484