The dynamic contribution of innovation ecosystems to schumpeterian firms: A multi-level analysis

David B. Audretsch; Maksim Belitski; Maribel Guerrero

doi:10.1016/j.jbusres.2022.02.037

The dynamic contribution of innovation ecosystems to schumpeterian firms: A multi-level analysis

David B. Audretsch, Maksim Belitski^*, Maribel Guerrero

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

47 Citations (Scopus)

108 Downloads (Pure)

Abstract

This study investigates how geographical proximity with innovation ecosystems’ agents contribute to Schumpeterian firms’ innovation performance. By adopting the knowledge spillover theory, we propose and test a conceptual model using a firm-level data that merged information from multiple sources resulting in 3,074 observations during the period of 2002–2014. Our results contribute to the literature by extending three academic discussions: (a) the achievement of Schumpeterian firms’ innovation performance based on geographical proximity to innovation ecosystems’ agents, (b) the role of firm size, and (c) discussion on mechanisms of knowledge spillover for firm performance. We develop theoretical insights and managerial implications for Schumpeterian firms.

Original language	English
Pages (from-to)	975-986
Number of pages	12
Journal	Journal of Business Research
Volume	144
Early online date	24 Feb 2022
DOIs	https://doi.org/10.1016/j.jbusres.2022.02.037
Publication status	Published - 1 May 2022

Keywords

Innovation Ecosystems
Innovation
Schumpeterian Entrepreneurship
Knowledge Spillover Theory
United Kingdom

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10.1016/j.jbusres.2022.02.037Licence: CC BY

2022_JBR_Audretsh_et_al.Accepted author manuscript, 709 KBLicence: CC BY-NC-ND
1-s2.0-S0148296322001564-mainFinal published version, 1.22 MBLicence: CC BY

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title = "The dynamic contribution of innovation ecosystems to schumpeterian firms: A multi-level analysis",

abstract = "This study investigates how geographical proximity with innovation ecosystems{\textquoteright} agents contribute to Schumpeterian firms{\textquoteright} innovation performance. By adopting the knowledge spillover theory, we propose and test a conceptual model using a firm-level data that merged information from multiple sources resulting in 3,074 observations during the period of 2002–2014. Our results contribute to the literature by extending three academic discussions: (a) the achievement of Schumpeterian firms{\textquoteright} innovation performance based on geographical proximity to innovation ecosystems{\textquoteright} agents, (b) the role of firm size, and (c) discussion on mechanisms of knowledge spillover for firm performance. We develop theoretical insights and managerial implications for Schumpeterian firms.",

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AB - This study investigates how geographical proximity with innovation ecosystems’ agents contribute to Schumpeterian firms’ innovation performance. By adopting the knowledge spillover theory, we propose and test a conceptual model using a firm-level data that merged information from multiple sources resulting in 3,074 observations during the period of 2002–2014. Our results contribute to the literature by extending three academic discussions: (a) the achievement of Schumpeterian firms’ innovation performance based on geographical proximity to innovation ecosystems’ agents, (b) the role of firm size, and (c) discussion on mechanisms of knowledge spillover for firm performance. We develop theoretical insights and managerial implications for Schumpeterian firms.

KW - Innovation Ecosystems

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KW - Schumpeterian Entrepreneurship

KW - Knowledge Spillover Theory

KW - United Kingdom

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ER -

The dynamic contribution of innovation ecosystems to schumpeterian firms: A multi-level analysis

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