E-commerce success : an empirical validation and test of alternative models

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dc.contributor.advisorTJ, Irwinen_ZA
dc.contributor.authorJayakody, Ruwangaen_ZA
dc.date.accessioned2014-07-31T12:16:37Z
dc.date.available2014-07-31T12:16:37Z
dc.date.issued2004en_ZA
dc.descriptionIncludes bibliographical references.
dc.description.abstractThe business to consumer (B2C) aspect of electronic commerce (e-commerce) is the most visible business use of the Internet. There is a need to identify and understand the relationships between the antecedents of successful B2C e-commerce, and determine a valid measure of the success of an online retail system. Factors that influence Information Systems (IS) Success have been discussed frequently in the academic literature; however significant developments into e-commerce success have been more gradual and are long overdue. This thesis reports on research conducted into e-commerce success. Existing IS success and e-commerce success models and concepts are reviewed and evaluated, gaps in the existing literature are identified, and a new comprehensive conceptual model is formulated. 180 respondents, reflective of the prevalent e-commerce customer profile in South Africa, were questioned on each of the factors identified as being a component of ecommerce success. The data collected was used to empirically test the comprehensive conceptual model and refinements made to improve the statistical fit of the model, were also tested using the data. Confirmatory Factor Analysis was performed to examine the validity of the measurement instrument and various Goodness-of-Fit indexes were calculated for each of the models. Structural Equation Modeling was then used to analyze the causal relationships between factors in the models. In the process eighteen different hypotheses were statistically tested. The models were compared and inferences were drawn from the results. Demographic data was evaluated against findings from previous e-commerce studies conducted in South Africa, and trends in usage and the most popular ecommerce retails sites were identified.en_ZA
dc.identifier.apacitationJayakody, R. (2004). <i>E-commerce success : an empirical validation and test of alternative models</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Department of Information Systems. Retrieved from http://hdl.handle.net/11427/5644en_ZA
dc.identifier.chicagocitationJayakody, Ruwanga. <i>"E-commerce success : an empirical validation and test of alternative models."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Department of Information Systems, 2004. http://hdl.handle.net/11427/5644en_ZA
dc.identifier.citationJayakody, R. 2004. E-commerce success : an empirical validation and test of alternative models. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Jayakody, Ruwanga AB - The business to consumer (B2C) aspect of electronic commerce (e-commerce) is the most visible business use of the Internet. There is a need to identify and understand the relationships between the antecedents of successful B2C e-commerce, and determine a valid measure of the success of an online retail system. Factors that influence Information Systems (IS) Success have been discussed frequently in the academic literature; however significant developments into e-commerce success have been more gradual and are long overdue. This thesis reports on research conducted into e-commerce success. Existing IS success and e-commerce success models and concepts are reviewed and evaluated, gaps in the existing literature are identified, and a new comprehensive conceptual model is formulated. 180 respondents, reflective of the prevalent e-commerce customer profile in South Africa, were questioned on each of the factors identified as being a component of ecommerce success. The data collected was used to empirically test the comprehensive conceptual model and refinements made to improve the statistical fit of the model, were also tested using the data. Confirmatory Factor Analysis was performed to examine the validity of the measurement instrument and various Goodness-of-Fit indexes were calculated for each of the models. Structural Equation Modeling was then used to analyze the causal relationships between factors in the models. In the process eighteen different hypotheses were statistically tested. The models were compared and inferences were drawn from the results. Demographic data was evaluated against findings from previous e-commerce studies conducted in South Africa, and trends in usage and the most popular ecommerce retails sites were identified. DA - 2004 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2004 T1 - E-commerce success : an empirical validation and test of alternative models TI - E-commerce success : an empirical validation and test of alternative models UR - http://hdl.handle.net/11427/5644 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5644
dc.identifier.vancouvercitationJayakody R. E-commerce success : an empirical validation and test of alternative models. [Thesis]. University of Cape Town ,Faculty of Commerce ,Department of Information Systems, 2004 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5644en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Information Systemsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherInformation Systemsen_ZA
dc.titleE-commerce success : an empirical validation and test of alternative modelsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMBusScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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