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dc.contributor.authorSitaridis, Ioannis-
dc.contributor.authorKitsios, Fotis-
dc.date.accessioned2020-11-16T06:59:20Z-
dc.date.available2020-11-16T06:59:20Z-
dc.date.issued2020-
dc.identifier10.1007/s10479-019-03404-xen_US
dc.identifier.issn0254-5330en_US
dc.identifier.issn1572-9338en_US
dc.identifier.urihttps://doi.org/10.1007/s10479-019-03404-xen_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/835-
dc.description.abstractThe purpose of this paper is, to propose a methodology for the comparison and ranking of Entrepreneurial Ecosystems (EEs) in order to offer the decision maker a straightforward way of assessing the competitiveness of national economies. EEs are a coordinated set of individual and institutional agents, on the national level, aimed to pursue economic development through the discovery and exploitation of entrepreneurial opportunities. Among the various approaches found in EE research, the Global Entrepreneurship Monitor consortium (GEM) evaluates the national economic development of more than 100 countries, concerning both individual and contextual factors. Entrepreneurship Framework Conditions of national EEs are rated on an annual basis by groups of domain experts on a number of predefined criteria. These ratings describe the various facets of the EEs, exposing strengths and weaknesses of the contextual environment, offering a snapshot of the competitiveness conditions of the national economy. However, comparative studies examining the relative performance of each EE, are needed in order to communicate useful information and help stakeholders make insightful decisions and design policy. The ranking of EEs as different alternatives based on multiple criteria is a Multi-Criteria Decision Making (MCDM) problem. The relative importance of each criterion is defined either by experts or by statistical methods. The selection of criteria weights is usually a cumbersome procedure. The utilization of non-weighted or equal weight methods, eliminates the need for definition of weights, it has less computational overhead and can produce distinct and objective rankings of the alternatives. The Greek EE is taken as a working example, and it is compared with a number of developed and developing countries, as alternatives. The consistence of the ranking results produced by the method proposed is compared with the evaluations of other EE metrics and the results of other well accepted MCDM methods. The application of the method produced a distinct ranking for each alternative EE. The Greek EE ranked below average among the countries of the comparison group, implying that it is less conducive for entrepreneurship development, although it is categorized among the most developed Innovation Driven economies. The theoretical and practical implications of the results are thoroughly discussed offering useful conclusions.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.sourceAnnals of Operations Researchen_US
dc.subjectFRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineeringen_US
dc.subjectFRASCATI::Social sciences::Economics and Businessen_US
dc.subject.otherentrepreneurial ecosystemen_US
dc.subject.othercompetitivenessen_US
dc.subject.otherrankingen_US
dc.subject.othernon-weight methoden_US
dc.subject.otherGEMen_US
dc.subject.othermultiple criteria analysisen_US
dc.subject.otherGreek national economyen_US
dc.titleCompetitiveness analysis and evaluation of entrepreneurial ecosystems: a multi-criteria approachen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume294en_US
local.identifier.issue1-2en_US
local.identifier.firstpage377en_US
local.identifier.lastpage399en_US
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