Managing proof-of-concept (PoC) programs in public research organizations: a dynamic capabilities perspective

Purpose This paper aims to explore how the implementation of gap funding instruments such as Proof-of-Concept (PoC) programs can contribute to developing dynamic capabilities in Public Research Organizations (PROs). The research investigates the processes and practices underlying PoC programs that may provide potential foundations for dynamic capabilities (i.e. organizational microfoundations) in PROs operating within a technology transfer setting. Design/methodology/approach We conducted an exploratory qualitative study through 37 interviews with the employees of PROs involved in the valorization of 155 technologies within 24 PoC programs. We iteratively triangulated those data with secondary sources. Findings We identified four key processes (i.e. management, selection, monitoring and valorization) and their associated practices that act as organizational microfoundations, enhancing the emergence of dynamic capabilities in PROs. We articulated six propositions to advance theoretical understandings about gap funding instruments and dynamic capabilities in technology transfer settings. Originality/value This study extends prior research on gap funding instruments by examining the less explored processes and practices underpinning PoC programs, demonstrating their role in enhancing PROs to foster external engagement and adaptation to fast-changing environments. Furthermore, it contributes to dynamic capabilities literature by unpacking those microfoundations that enable PROs to build sensing, seizing and reconfiguring capabilities when interacting with the external environment.

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Publication Details

Journal
European Journal of Innovation Management
Published
2024-10-02
DOI
https://doi.org/10.1108/ejim-09-2023-0751
Citations
3
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
3.15

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article

Managing proof-of-concept (PoC) programs in public research organizations: a dynamic capabilities perspective

Andrea Piccaluga, Giovanni Tolin
3 citations
European Journal of Innovation Management
Scientific Computing and Data Management
3.15
article

Managing proof-of-concept (PoC) programs in public research organizations: a dynamic capabilities perspective

Andrea Piccaluga, Giovanni Tolin
article en
3 citations

Abstract

Purpose This paper aims to explore how the implementation of gap funding instruments such as Proof-of-Concept (PoC) programs can contribute to developing dynamic capabilities in Public Research Organizations (PROs). The research investigates the processes and practices underlying PoC programs that may provide potential foundations for dynamic capabilities (i.e. organizational microfoundations) in PROs operating within a technology transfer setting. Design/methodology/approach We conducted an exploratory qualitative study through 37 interviews with the employees of PROs involved in the valorization of 155 technologies within 24 PoC programs. We iteratively triangulated those data with secondary sources. Findings We identified four key processes (i.e. management, selection, monitoring and valorization) and their associated practices that act as organizational microfoundations, enhancing the emergence of dynamic capabilities in PROs. We articulated six propositions to advance theoretical understandings about gap funding instruments and dynamic capabilities in technology transfer settings. Originality/value This study extends prior research on gap funding instruments by examining the less explored processes and practices underpinning PoC programs, demonstrating their role in enhancing PROs to foster external engagement and adaptation to fast-changing environments. Furthermore, it contributes to dynamic capabilities literature by unpacking those microfoundations that enable PROs to build sensing, seizing and reconfiguring capabilities when interacting with the external environment.

European Journal of Innovation ManagementVol. 27(9)
Scuola Superiore Sant'Anna (IT)
Università degli Studi di Milano-Bicocca, Università degli Studi di Padova, Northwest University, Università degli Studi di Parma, Università di Bologna, Università degli Studi di Udine
Partnerships for the goals
Openalex Percentile: Top 6%
Scientific Computing and Data Management
3.15
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