A big data analytics based methodology for strategic decision making

dc.contributor.author	Ozemre, M.
dc.contributor.author	Kabadurmus, O.
dc.date.accessioned	2021-01-25T20:48:02Z
dc.date.available	2021-01-25T20:48:02Z
dc.date.issued	2020
dc.identifier	10.1108/JEIM-08-2019-0222
dc.identifier.issn	17410398
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085352010&doi=10.1108%2fJEIM-08-2019-0222&partnerID=40&md5=03c54c7745c0c9a18ec4bcabff0c341e
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9704
dc.description.abstract	Purpose: The purpose of this paper is to present a novel framework for strategic decision making using Big Data Analytics (BDA) methodology. Design/methodology/approach: In this study, two different machine learning algorithms, Random Forest (RF) and Arti
dc.language.iso	English
dc.publisher	Journal of Enterprise Information Management
dc.title	A big data analytics based methodology for strategic decision making
dc.type	Article
dc.description.affiliations	BIMAR Information Technology Services, Izmir, Turkey; Department of International Logistics Management, Yasar University, Izmir, Turkey

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