A big data analytics based methodology for strategic decision making

dc.contributor.author	Ozemre, M.
dc.contributor.author	Kabadurmus, O.
dc.date.accessioned	2021-01-25T19:32:36Z
dc.date.available	2021-01-25T19:32:36Z
dc.identifier	10.1108/JEIM-08-2019-0222
dc.identifier.issn	1741-0398
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7278
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 Artifi
dc.language.iso	English
dc.publisher	EMERALD GROUP PUBLISHING LTD
dc.title	A big data analytics based methodology for strategic decision making
dc.type	Article
dc.description.woscategory	Computer Science, Interdisciplinary Applications; Information Science & Library Science; Management
dc.description.wosresearcharea	Computer Science; Information Science & Library Science; Business & Economics
dc.identifier.wosid	WOS:000535496800001

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