Publication:
Intelligent Approach Based on Group Method of Data Handling to Predict Economic Growth Through Entrepreneurship and Innovativeness with Time Series

dc.contributor.authorŞENVAR, ÖZLEM
dc.contributor.authorsŞENVAR Ö., Zeren M.
dc.date.accessioned2023-09-12T05:55:14Z
dc.date.accessioned2026-01-10T20:26:51Z
dc.date.available2023-09-12T05:55:14Z
dc.date.issued2022-01-01
dc.description.abstract© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Entrepreneurship and innovativeness are the key factors for determination of economic viability along with preservation of sustainability. Entrepreneurship with innovation is a crucial part of economic improvement and growth and substantial for the steady dynamism of the modern economy. Since entrepreneurship and innovation generate value for the economy through creative destruction, their impacts on GDP growth (annual %) can be examined through anticipatory capacities. Brexit is expected to have serious consequences of generating international entrepreneurship and business opportunities for companies worldwide. This study aims to anticipate economic growth through entrepreneurial activities and innovativeness before and after the Brexit decision. In this study, New Business Density and R&D Expenditure (% of GDP) are handled to make anticipations regarding annual GDP Growth (%) via time series forecasting algorithm. We consider Iceland, Ireland and the UK before and after Brexit decision. Iceland and Ireland are taken into account due to their close relationships with the UK.
dc.identifier.citationŞENVAR Ö., Zeren M., \"Intelligent Approach Based on Group Method of Data Handling to Predict Economic Growth Through Entrepreneurship and Innovativeness with Time Series\", International Conference on Intelligent and Fuzzy Systems, INFUS 2022, İzmir, Türkiye, 19 - 21 Temmuz 2022, cilt.504 LNNS, ss.982-989
dc.identifier.doi10.1007/978-3-031-09173-5_112
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135092071&origin=inward
dc.identifier.urihttps://hdl.handle.net/11424/293204
dc.language.isoeng
dc.relation.ispartofInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectKontrol ve Sistem Mühendisliği
dc.subjectSinyal İşleme
dc.subjectMühendislik ve Teknoloji
dc.subjectInformation Systems, Communication and Control Engineering
dc.subjectControl and System Engineering
dc.subjectSignal Processing
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectOTOMASYON & KONTROL SİSTEMLERİ
dc.subjectTELEKOMÜNİKASYON
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectENGINEERING
dc.subjectAUTOMATION & CONTROL SYSTEMS
dc.subjectTELECOMMUNICATIONS
dc.subjectENGINEERING, ELECTRICAL & ELECTRONIC
dc.subjectFizik Bilimleri
dc.subjectBilgisayar Ağları ve İletişim
dc.subjectControl and Systems Engineering
dc.subjectPhysical Sciences
dc.subjectComputer Networks and Communications
dc.subjectEntrepreneurship
dc.subjectInnovativeness
dc.subjectEconomic growth
dc.subjectAnticipation
dc.subjectGroup Method of Data Handling (GMDH)
dc.subjectEntrepreneurship
dc.subjectInnovativeness
dc.subjectEconomic growth
dc.subjectAnticipation
dc.subjectGroup Method of Data Handling (GMDH)
dc.titleIntelligent Approach Based on Group Method of Data Handling to Predict Economic Growth Through Entrepreneurship and Innovativeness with Time Series
dc.typeconferenceObject
dspace.entity.typePublication

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