Leveraging e-Commerce Performance through Machine Learning Algorithms

Machine learning (ML) is quickly emerging as a new discipline and resembles to be an attractive alternative to statistical methods in various industries. An appreciation of the possible applications of ML in digital marketing and eCommerce will be proposed in this article. The authors will examine q...

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Main Authors:	Adrian MICU, Marius GERU, Alexandru CAPATINA, Constantin AVRAM, Robert RUSU, Andrei Alexandru PANAIT
Format:	Article
Language:	English
Published:	Dunarea de Jos University of Galati 2019-08-01
Series:	Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
Online Access:	http://www.eia.feaa.ugal.ro/images/eia/2019_2/Micu_Geru_Capatina_Avram_Rusu_Panait.pdf

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spelling	doaj-b2cb7533fe55460db712b987b1ed2f892020-11-25T01:24:51ZengDunarea de Jos University of GalatiAnnals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics1584-04091584-04092019-08-01252162171Leveraging e-Commerce Performance through Machine Learning AlgorithmsAdrian MICU0Marius GERU1Alexandru CAPATINA2Constantin AVRAM3Robert RUSU4Andrei Alexandru PANAIT5Dunarea de Jos University of Galati, RomaniaTransilvania University of Brasov, RomaniaDunarea de Jos University of Galati, RomaniaDunarea de Jos University of Galati, RomaniaDunarea de Jos University of Galati, RomaniaTransilvania University of Brasov, RomaniaMachine learning (ML) is quickly emerging as a new discipline and resembles to be an attractive alternative to statistical methods in various industries. An appreciation of the possible applications of ML in digital marketing and eCommerce will be proposed in this article. The authors will examine qualitative determinant factors on brand logos and correlations on companies income, with profit, the number of employees, images and number of product images on eCommerce homepage. 1420 Romanian companies were analyzed in this research in order to identify specific factors that determines the success of an eCommerce business.http://www.eia.feaa.ugal.ro/images/eia/2019_2/Micu_Geru_Capatina_Avram_Rusu_Panait.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Adrian MICU Marius GERU Alexandru CAPATINA Constantin AVRAM Robert RUSU Andrei Alexandru PANAIT
spellingShingle	Adrian MICU Marius GERU Alexandru CAPATINA Constantin AVRAM Robert RUSU Andrei Alexandru PANAIT Leveraging e-Commerce Performance through Machine Learning Algorithms Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
author_facet	Adrian MICU Marius GERU Alexandru CAPATINA Constantin AVRAM Robert RUSU Andrei Alexandru PANAIT
author_sort	Adrian MICU
title	Leveraging e-Commerce Performance through Machine Learning Algorithms
title_short	Leveraging e-Commerce Performance through Machine Learning Algorithms
title_full	Leveraging e-Commerce Performance through Machine Learning Algorithms
title_fullStr	Leveraging e-Commerce Performance through Machine Learning Algorithms
title_full_unstemmed	Leveraging e-Commerce Performance through Machine Learning Algorithms
title_sort	leveraging e-commerce performance through machine learning algorithms
publisher	Dunarea de Jos University of Galati
series	Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
issn	1584-0409 1584-0409
publishDate	2019-08-01
description	Machine learning (ML) is quickly emerging as a new discipline and resembles to be an attractive alternative to statistical methods in various industries. An appreciation of the possible applications of ML in digital marketing and eCommerce will be proposed in this article. The authors will examine qualitative determinant factors on brand logos and correlations on companies income, with profit, the number of employees, images and number of product images on eCommerce homepage. 1420 Romanian companies were analyzed in this research in order to identify specific factors that determines the success of an eCommerce business.
url	http://www.eia.feaa.ugal.ro/images/eia/2019_2/Micu_Geru_Capatina_Avram_Rusu_Panait.pdf
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Leveraging e-Commerce Performance through Machine Learning Algorithms

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