Abstract

Innovation-driven entrepreneurship has become a focus for economic development and received increasing attention from policy makers and academics over the last decades. While consensus has been reached that context matters for innovation and entrepreneurship, little evidence and decision support exists for policy makers to effectively shape the environment for growth-oriented companies. We present the entrepreneurial ecosystem concept as a complex systems-based approach to the study of innovation-driven entrepreneurial economies. The concept, in combination with novel data sources, offers new opportunities for research and policy, but also comes with new challenges. The aim of this paper is to take stock of the literature and build bridges for more transdisciplinary research. First, we review emergent trends in ecosystem research and provide a typology of four overarching problems based on current limitations. These problems connect operational research scholars to the context and represent focal points for their contributions. Second, we review the operational research literature and provide an overview of how these problems have been addressed and outline opportunities for future research, both for the specific problems as well as cross-cutting themes. Operational research has been invaluable in supporting decision-makers facing complex problems in several fields. This paper provides a conceptual and methodological agenda to increase its contribution to the study and governance of entrepreneurial ecosystems.

Highlights

  • Innovation-driven entrepreneurship has become a focus for economic development and received increasing attention from policy makers over the last decades

  • Due to the lack of a comprehensive EE theory, we focus on these higher-level problems as opposed to either providing an overview of Operational research (OR) applications to the EE concept as a whole or structuring the review based on different methodologies

  • Research on ecosystems has remained fragmented without comprehensive support for decision-making

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Summary

Introduction

Innovation-driven entrepreneurship has become a focus for economic development and received increasing attention from policy makers over the last decades. While consensus has been reached that context matters in entrepreneurship, little evidence and decision support exists for policy makers to effectively shape the environment for productive entrepreneurship (Autio, Kenney, Mustar, Siegel & Wright, 2014; Welter, 2011; Wurth, Stam & Spigel, 2021) In response to these developments, the entrepreneurial ecosystem (EE) concept has been introduced as complex systems-based approach to the study and governance of entrepreneurial economies. This goes beyond the application of particular methods and involves a more problem oriented approach to studying the context and dynamics of entrepreneurship To this end, we first review emergent trends in ecosystem research and provide a typology of four overarching ‘problems’ based on current limitations.

Background
Addressing the core decision-making problems
The stakeholder and boundary problem
The dynamic systems problem
Objective
The comparability and evaluation problem
The policy and interventions problem
Critical issues and opportunities
Decision-makers and stakeholders
Multi-level studies
Multi-methodology and hybrid approaches
Uncertainty and robustness
Concluding remarks
Full Text
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