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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/507

Title: A Trust model for building confidence in business-to-consumer electronic commerce transactions
Authors: Komunte, Mary
Keywords: Business model
Electronic commerce
Issue Date: 13-Nov-2009
Abstract: In the last years there has been an increasing focus in many countries on the concept of electronic commerce. Countries see it as a central component of efforts to modernize and reinvent business. E-commerce is one of the newest Internet Technology, applications, which promises multiple benefits both for the government and clients. In the world today, a large number of businessmen and Internet Service Providers have launched business websites, offering online business services. However the implementation and functionality of these digital services seem to be relatively smooth in developed countries, the situation is still young in developing economies. Lack of consumer trust in E-commerce vendors, technology and legal infrastructure of the E-commerce environment is a major challenge to the adoption of B2C E-commerce. Trust makes business possible, without it few transactions would occur. Trust is a catalyst for Electronic Commerce. Trust is the core of all relationships and it has been suggested that trust will hold people together and give them a feeling of security. Trust is a very fragile thing. It is generally earned and grows at a painfully slow space and can be destroyed in an instant. Therefore it allows people to interact spontaneously and helps the economy to operate smoothly. The research paper investigates and analyses the determinants of trust in developing economies like Uganda and proposes the appropriate trust model for the successful implementation and development of E-commerce.
Description: A Project Report submitted to the School of Graduate Studies in partial fulfillment for the award of the Degree of Master of Information Technology of Makerere University.
URI: http://hdl.handle.net/123456789/507
Appears in Collections:Theses & Dissertations (CIT)

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