Over the last 60 years, the way governments in advanced countries have adopted industrial and business policies has evolved. In the last 20 years we have witnessed an escalation in the number of political initiatives and the level of funding committed to these activities in a process called developmental state. Consequently, policy makers are now beginning to recognize the value of a more systems-based way of support for "high growth entrepreneurship". This embodies a change away from enterprise specific involvements towards more holistic activities which focus on developing networks, aligning priorities, building new institutional capabilities and fostering synergies between different stakeholders. Within some different perspectives, one emerging approach very recent is focused on "entrepreneurial ecosystems"™. An entrepreneurial ecosystems approach offers a new and distinct perspective on the geographical clustering of economic activity, though integrating many of the themes from this former literature.
In spite of many studies on the subject, little has touched upon studies focusing particulars on the role of government/public policy with quantitative models and techniques to important decision problems in developing entrepreneurial ecosystems. Prosperous entrepreneurial systems are likely to have some initial and existing economic advantages and this will involve governments supporting locations that are already favoured by this environment. Silicon Valley shows, successful entrepreneurial ecosystems generate internal dissimilarities. What is done to the spatial "losers" that are produced by this policy is not clear and poses challenges for public policy since it is not evident from this discussion how government involvement might stimulate the emergence of entrepreneurial ecosystems or encourage the key processes of spin-offs and the emergence of entrepreneurial support in its different forms.
Purpose:This special issue aims to publish papers focusing on the development of new quantitative methods and applications (e.g. multivariate statistics, meta-analysis, operations research, multi-criteria decision making, machine learning etc.) with new perspectives and approaches for public sector decision-making that encourage the formation and development of entrepreneurial ecosystems. The intent is to deliver a platform for some of the most advanced quantitative methodologies and relevant developments in some attractive and rapidly growing in this research area. Suggested topics include, but are not limited to, the following:
Building new public institutional capabilities
Geographical clustering of economic activities
Dynamic ecosystems and planning for enterprises to grow
Entrepreneurial ecosystems modelling and forecasting
Agglomeration and spatial economics
Entrepreneurial, innovation and efficiency modelling
Innovation and competitiveness of public sector
Entrepreneurial corporate governance
Models, metrics and forecasting techniques for entrepreneurial ecosystems