The Analysis of Corporate Social Responsibility, Identification and Customer Orientation by Structural Equation Modelling and Artificial Intelligence

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dc.authoridOZHAN, Erkan/0000-0002-3971-2676
dc.authoridOZHAN, Seniz/0000-0003-3898-8192
dc.authoridYAKAR-PRITCHARD, GAMZE/0000-0001-5370-443X
dc.authorwosidOZHAN, Erkan/N-8743-2016
dc.authorwosidOZHAN, Seniz/F-8743-2018
dc.contributor.authorOzhan, Seniz
dc.contributor.authorOzhan, Erkan
dc.contributor.authorPritchard, Gamze Yakar
dc.date.accessioned2024-06-12T10:58:38Z
dc.date.available2024-06-12T10:58:38Z
dc.date.issued2022
dc.departmentTrakya Üniversitesien_US
dc.description.abstractWhen the successful businesses of today are examined, it is seen that the main factor in their success is the value they give to the customers rather than the production power. One of the most important factors in ensuring customer satisfaction and loyalty is customer orientation (CO). In this study, it is aimed to investigate the perceived management and customer support for corporate social responsibility, the identification of the employees with the business and the customers and its effect on CO. Another aim of the study is to obtain a model that classifies employee-customer identification (ECI)-CO levels for employees by using artificial intelligence methods not used in previous studies. The research data were obtained from salesperson working in shopping malls in Istanbul. Hypothesis testing with structural equation modelling (SEM) has shown that perceived management and customer support for corporate social responsibility have an impact on employee identification with the business and customers. It has been observed that ECI affects CO, while organizational identification has no significant effect on CO. The structural equation modelling and artificial intelligence findings have empirically demonstrated that high accuracy practical classification models can be obtained and used to detect and solve different marketing problems.en_US
dc.identifier.doi10.1177/09722629211043956
dc.identifier.endpage394en_US
dc.identifier.issn0972-2629
dc.identifier.issn2249-5304
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85118235833en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage382en_US
dc.identifier.urihttps://doi.org/10.1177/09722629211043956
dc.identifier.urihttps://hdl.handle.net/20.500.14551/20140
dc.identifier.volume26en_US
dc.identifier.wosWOS:000847172400010en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSage Publications India Pvt Ltden_US
dc.relation.ispartofVision-The Journal Of Business Perspectiveen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCorporate Social Responsibilityen_US
dc.subjectOrganizational Identificationen_US
dc.subjectEmployee-Customer Identificationen_US
dc.subjectCustomer Orientationen_US
dc.subjectStructural Equation Modellingen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectOrganizational Identificationen_US
dc.subjectStakeholder Theoryen_US
dc.subjectModerating Roleen_US
dc.subjectIdentityen_US
dc.subjectPerformanceen_US
dc.subjectEmployeesen_US
dc.subjectImpacten_US
dc.subjectCoefficienten_US
dc.subjectCommitmenten_US
dc.subjectIssuesen_US
dc.titleThe Analysis of Corporate Social Responsibility, Identification and Customer Orientation by Structural Equation Modelling and Artificial Intelligenceen_US
dc.typeArticleen_US

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