Resource management projects in entrepreneurship and retain customer based on big data analysis and artificial intelligence

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dc.authorscopusid57198431763
dc.authorscopusid57828699300
dc.authorscopusid26646915700
dc.authorscopusid58582311100
dc.authorscopusid57211296275
dc.authorscopusid57790242100
dc.contributor.authorHuy, Pham Quang
dc.contributor.authorShavkatovich, Shavkatov Navruzbek
dc.contributor.authorAbdul-Samad, Zulkiflee
dc.contributor.authorAgrawal, D.K.
dc.contributor.authorAshifa, K.M.
dc.contributor.authorArumugam, Mahendran
dc.date.accessioned2024-09-11T19:57:36Z
dc.date.available2024-09-11T19:57:36Z
dc.date.issued2023
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractRetaining clients is turning into an estimation center in an industry with expanding rivalry. Because it is difficult to keep customers and easy for them to switch brands, the idea of customer retention has become the subject of research in the sales industry. Traditional human resource management systems are unable to manage and analyze data because of the rapid growth of enterprise-generated data's processing capacity. This exploration proposes novel strategy in human asset the executives for little new company business with their client hold utilizing Artificial intelligence (AI) procedures. Behavioral pattern analysis based on reinforcement radial fuzzy decision with quadratic kernel vector machine is utilized here for human resource management and customer relationship retention. In terms of prediction accuracy, area under the curve (AUC), average precision, sensitivity, and quadratic normalized square error, various human resource datasets based on entrepreneurship are the subjects of the experimental analysis. The proposed technique attained prediction accuracy of 98%, AUC of 89%, average precision of 83%, sensitivity of 66%, quadratic normalized square error of 59%. © 2023en_US
dc.identifier.doi10.1016/j.hitech.2023.100471
dc.identifier.issn1047-8310en_US
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85168087752en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.hitech.2023.100471
dc.identifier.urihttps://hdl.handle.net/11363/8315
dc.identifier.volume34en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofJournal of High Technology Management Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectBehavioral pattern analysis; Business entrepreneurship; Customer retain; Human resource management; Machine learning techniquesen_US
dc.titleResource management projects in entrepreneurship and retain customer based on big data analysis and artificial intelligenceen_US
dc.typeArticleen_US

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