Open innovation under institutional constraints: Relational knowledge improvisation in post-Soviet startups

While open innovation (OI) research increasingly addresses emerging economies, the distinct institutional challenges of post-Soviet startup ecosystems remain underexplored. This study introduces Relational Knowledge Improvisation (RKI), a socially embedded, recursive capability through which Azerbaijani startups engage in inbound OI under institutional constraint. Drawing on 20 interviews with startup founders and managers, the paper shows how firms initiate innovation through institutional bricolage to gain immediate agility in the face of formal voids. However, this agility often exposes fragility, which entrepreneurs address through trust-based relational strategies rooted in kinship, reputation, and diaspora ties. These ties, in turn, support informal, practice-based learning via mentoring, experimentation, and embedded knowledge exchange. RKI thus unfolds as a cyclical process that transforms institutional voids into proto-institutional routines. The concept contributes to Institutional Theory by revealing microfoundations of informal institutional emergence, advances the Relational View by specifying affective trust as a coordination mechanism, and extends the DUI framework by demonstrating how trans-local networks substitute for absent formal infrastructures. RKI offers a grounded framework for understanding how startup innovation practices emerge and stabilise in settings where codified systems are weak or absent.

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Publication Details

Journal
Journal of Open Innovation Technology Market and Complexity
Published
2025-09-27
DOI
https://doi.org/10.1016/j.joitmc.2025.100647
Citations
2
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
4.45
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article

Open innovation under institutional constraints: Relational knowledge improvisation in post-Soviet startups

Nijat Muradzada
2 citations
Journal of Open Innovation Technology Market and Complexity
Innovation and Knowledge Management
4.45
article

Open innovation under institutional constraints: Relational knowledge improvisation in post-Soviet startups

Nijat Muradzada
article en
2 citations

Abstract

While open innovation (OI) research increasingly addresses emerging economies, the distinct institutional challenges of post-Soviet startup ecosystems remain underexplored. This study introduces Relational Knowledge Improvisation (RKI), a socially embedded, recursive capability through which Azerbaijani startups engage in inbound OI under institutional constraint. Drawing on 20 interviews with startup founders and managers, the paper shows how firms initiate innovation through institutional bricolage to gain immediate agility in the face of formal voids. However, this agility often exposes fragility, which entrepreneurs address through trust-based relational strategies rooted in kinship, reputation, and diaspora ties. These ties, in turn, support informal, practice-based learning via mentoring, experimentation, and embedded knowledge exchange. RKI thus unfolds as a cyclical process that transforms institutional voids into proto-institutional routines. The concept contributes to Institutional Theory by revealing microfoundations of informal institutional emergence, advances the Relational View by specifying affective trust as a coordination mechanism, and extends the DUI framework by demonstrating how trans-local networks substitute for absent formal infrastructures. RKI offers a grounded framework for understanding how startup innovation practices emerge and stabilise in settings where codified systems are weak or absent.

Journal of Open Innovation Technology Market and ComplexityVol. 11(4)
Azerbaijan State University of Economics (AZ), University of Glasgow (GB)
Openalex Percentile: Top 5%
Innovation and Knowledge Management
4.45
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Open innovation under institutional constraints: Relational knowledge improvisation in post-Soviet startups — Nijat Muradzada · Journal of Open Innovation Technology Market and Complexity (2025) | TGRS Research Map | TGRS