MCom (Business Information Systems) / Department of Business Information Systems / Today, information and communication technologies (ICT) have become an integral part of humans lives more especially in business, be it those in developed or developing countries. The evolution of ICT’s has also led to the introduction of e-Commerce services. Both the public and private sectors, develop these technologies with customer satisfaction in mind. Out of all the efforts by businesses and ICT experts, e-commerce systems continue to fail because of low user acceptance and user attitude, especially in developing nations. Security issues are known to be of top most concern for online shoppers. A survey was administered to 161 respondents, to find out how cyber security affects consumer’s intentions and actual use of e-commerce systems. The study encompasses both users of e-commerce systems and non-users of e-commerce systems across Vhembe district of Limpopo Province in South Africa. A quantitative research approach was used. The findings revealed that perceived security was the main concern for non-users of e-commerce intentions to use e-commerce systems because of lack of information and lack of trust on e-commerce systems. The study also revealed that users of e-commerce systems are still concerned about security, even though they intend to continue using e-commerce systems. For the success of e-commerce in rural communities, government needs to join hands with retailers and SME’s to start awareness campaigns that will clarify how e-commerce systems work and eradicate negative perception on e-commerce systems. / NRF

This research contributes to the cloud computing (CC) literature and information science research by addressing the reality of information sharing and storage behavior (ISSB) of the users' personal information via CC. Gathering information about usage also allows this research to address the paradox between the research and practice. Additionally, this research explores the concept of trust and its role in the behavioral change relative to CC. The findings help reconcile the paradox between the two realms. Essay1 develops and tests cloud computing usage model (CCUM) that assesses ISSB. This model considers the main adoption determinants and the main drawbacks of CC. The study measures the main concerns of users found in the literature, perceived security and perceived privacy. The findings prove surprising on these concerns. Using multiple regression to analyze 129 valid survey responses, the results find that CC users are less concerned about the major issues of security and privacy and will use the technology based on peer usage. Essay 2 examines why users ignore the technology issues and elect to replace the traditional mechanisms for handling their personal information. The results of an interview-based study conducted on 11 normal users and 11 IT professionals clarify their perceptions about CC and examine its readiness to handle their information from an end-user perspective. Essay 3 explores the CC literature to identify the major factors associated with the users' trust beliefs. The research conducted in this essay groups these factors into three categories. The posited and tested model examines the effect of perceived trust on ISSB. A structural equation modeling approach is used to analyze 1228 valid responses and tests the developed cloud computing trust model. The results provide multiple implications for CC researchers, managers, and service providers.

This dissertation addresses research questions related to defining a smart city and the associated activities. The general research question is explored in the dissertation via the conduct of three related studies. The finding from these three investigations are presented in the results section as 3 essays that collectively examine the smart city phenomena as it has emerged within the City. Essay 1 assesses building municipal open data capability. The study proposed an Opendata Roadmap Framework to enhance the organization's dynamic capability. The results provide a valuable practical framework to help cities develop open data capability. The results also provide a comparative study or benchmark for similar initiatives with other regional cities and within the nation. Essay 2 measures the residents' understanding and beliefs about smart cities. This portion of the research used a qualitative method that included interviewing residents and city officials to understand their definition of a smart city and what they believe makes a city smart. The interviews focused on understanding resident engagement because it is an important characteristic of a smart city. The gap between the city officials and residents understanding was examined. In addition, the interviews help identify essential factors associated with smart cities like trust in government, perceived security, perceived privacy, trust in technology, and perceived monetary value. Essay 3 examines the acceptance of smart city technologies and factors that affect the adoption of such technologies. This essay uses the insights from the other two essays to propose a smart city Unified Theory of Acceptance and Use of Technology (UTAUT) extension labelled Smart City UTAUT (SC-UTAUT). The new proposed model was tested using a survey method. The 1,786 valid responses were used to test the proposed structural equation model using Smart PLS. Results show a significant relationship between trust in technology, trust in government, perceived monetary value, effort expectancy, self-efficacy, and behavioral intention. The dissertation concludes with a summary of how the three essays make a cumulative contribution to the literature as well as providing practical guidance for becoming a smart city.