A study on tam: analysis of customer attitudes in online food ordering system

dc.contributor.authorAlagoz, Serhat Murat
dc.contributor.authorHekimoglu, Haluk
dc.date.accessioned2024-05-25T11:21:40Z
dc.date.available2024-05-25T11:21:40Z
dc.date.issued2012
dc.departmentOkan Universityen_US
dc.department-temp[Alagoz, Serhat Murat; Hekimoglu, Haluk] Okan Univ, TR-34959 Istanbul, Turkeyen_US
dc.description.abstractWhile e-commerce is rapidly spreading around the world, the food industry also began to take its' place in this growing area. The purpose of this study is to investigate the factors that influence the attitude of internet users towards online food ordering in Turkey among university students. It uses the Technology Acceptance Model (TAM) (Davis, 1986) as a theoretical grounding to study adoption of using the Web environment for ordering food. In addition to TAM; Trust, Innovativeness and External Influences are added to the model as main factors that influence internet users attitudes. The research universe is composed of undergraduate and graduate students. Studying a homogeneous group allows us to overcome potential side effects of studying a heterogeneous group with diverse internet usage habits. (C) 2012 Published by Elsevier Ltd. Selection and/or peer review under responsibility of Prof. Dr. Huseyin Araslien_US
dc.identifier.citation37
dc.identifier.doi10.1016/j.sbspro.2012.09.195
dc.identifier.endpage1143en_US
dc.identifier.issn1877-0428
dc.identifier.startpage1138en_US
dc.identifier.urihttps://doi.org/10.1016/j.sbspro.2012.09.195
dc.identifier.urihttps://hdl.handle.net/20.500.14517/609
dc.identifier.volume62en_US
dc.identifier.wosWOS:000319841600190
dc.language.isoen
dc.publisherElsevier Science Bven_US
dc.relation.ispartofWorld Conference on Business, Economics and Management (BEM) -- MAY 04-06, 2012 -- Antalya, TURKEYen_US
dc.relation.ispartofseriesProcedia Social and Behavioral Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectE-Commerceen_US
dc.subjectTechnology Acceptance Modelen_US
dc.subjectOnline Food Orderingen_US
dc.subjectInformation Technologyen_US
dc.titleA study on tam: analysis of customer attitudes in online food ordering systemen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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