Managing Open Innovation: A Project-Level Perspective
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Managing Open Innovation : A Project-Level Perspective. / Bagherzadeh, Mehdi; Markovic, Stefan; Bogers, Marcel.
In: IEEE Transactions on Engineering Management, Vol. 68, No. 1, 2021, p. 301-316.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - Managing Open Innovation
T2 - A Project-Level Perspective
AU - Bagherzadeh, Mehdi
AU - Markovic, Stefan
AU - Bogers, Marcel
PY - 2021
Y1 - 2021
N2 - Open innovation has become a mainstream phenomenon in the current business landscape. However, despite the fact that innovation projects generally have different attributes (e.g., complexity and uncertainty), most studies on open innovation have only considered firm-level characteristics (e.g., firm size and firm openness) to determine how to manage open innovation successfully. Project-level studies on open innovation management are still scant-There are only a few conceptual and qualitative articles on the topic, and there is a lack of quantitative insights. Based on a survey designed to collect detailed data from 201 innovation projects undertaken by American firms, this article provides a quantitative cross-project analysis of how two, key innovation project attributes (i.e., complexity and uncertainty) are related to five factors for successful open innovation management: 1) openness level, 2) external partner choice, 3) open innovation mechanism choice, 4) collaboration process formalization, and 5) internal firm practices. This exploratory study contributes to the open innovation literature by highlighting the importance of microfoundations (i.e., innovation project attributes) in successful open innovation management. This article concludes by suggesting a number of relevant project-level future research opportunities in the field of open innovation management, and some methodological recommendations on how to address such opportunities.
AB - Open innovation has become a mainstream phenomenon in the current business landscape. However, despite the fact that innovation projects generally have different attributes (e.g., complexity and uncertainty), most studies on open innovation have only considered firm-level characteristics (e.g., firm size and firm openness) to determine how to manage open innovation successfully. Project-level studies on open innovation management are still scant-There are only a few conceptual and qualitative articles on the topic, and there is a lack of quantitative insights. Based on a survey designed to collect detailed data from 201 innovation projects undertaken by American firms, this article provides a quantitative cross-project analysis of how two, key innovation project attributes (i.e., complexity and uncertainty) are related to five factors for successful open innovation management: 1) openness level, 2) external partner choice, 3) open innovation mechanism choice, 4) collaboration process formalization, and 5) internal firm practices. This exploratory study contributes to the open innovation literature by highlighting the importance of microfoundations (i.e., innovation project attributes) in successful open innovation management. This article concludes by suggesting a number of relevant project-level future research opportunities in the field of open innovation management, and some methodological recommendations on how to address such opportunities.
KW - Technological innovation
KW - Complexity theory
KW - Uncertainty
KW - Collaboration
KW - Search problems
KW - Task analysis
KW - Open innovation (OI)
KW - project attributes
KW - project complexity
KW - project uncertainty
KW - project-level variables
KW - BIO-PHARMACEUTICAL INDUSTRY
KW - CLUSTER-ANALYSIS
KW - KNOWLEDGE
KW - PERFORMANCE
KW - GOVERNANCE
KW - MANAGEMENT
KW - SEARCH
KW - LANDSCAPE
KW - DIVERSITY
KW - FRAMEWORK
U2 - 10.1109/TEM.2019.2949714
DO - 10.1109/TEM.2019.2949714
M3 - Review
VL - 68
SP - 301
EP - 316
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
SN - 0018-9391
IS - 1
ER -
ID: 253732314