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

Includes bibliographical references.

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Bibliographic Details
Main Author: Jayakody, Ruwanga
Other Authors: TJ, Irwin
Format: Thesis
Language:English
Published: Department of Information Systems 2014
Subjects:
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access_status_str Open Access
author Jayakody, Ruwanga
author2 TJ, Irwin
author_browse Jayakody, Ruwanga
TJ, Irwin
author_facet TJ, Irwin
Jayakody, Ruwanga
author_sort Jayakody, Ruwanga
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/5644
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:31.718Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Information Systems
publisherStr Department of Information Systems
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5644 E-commerce success : an empirical validation and test of alternative models Jayakody, Ruwanga TJ, Irwin Information Systems Includes bibliographical references. 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. 2014-07-31T12:16:37Z 2014-07-31T12:16:37Z 2004 Master Thesis Masters MBusSc http://hdl.handle.net/11427/5644 eng application/pdf Department of Information Systems Faculty of Commerce University of Cape Town
spellingShingle Information Systems
Jayakody, Ruwanga
E-commerce success : an empirical validation and test of alternative models
thesis_degree_str Master's
title E-commerce success : an empirical validation and test of alternative models
title_full E-commerce success : an empirical validation and test of alternative models
title_fullStr E-commerce success : an empirical validation and test of alternative models
title_full_unstemmed E-commerce success : an empirical validation and test of alternative models
title_short E-commerce success : an empirical validation and test of alternative models
title_sort e commerce success an empirical validation and test of alternative models
topic Information Systems
url http://hdl.handle.net/11427/5644
work_keys_str_mv AT jayakodyruwanga ecommercesuccessanempiricalvalidationandtestofalternativemodels