Social buying is a recent marketing innovation in which provides Pareto-improving welfare gains to merchants, consumers, and brokers. Consumers benefit from access to significant discounts on advertised products and services, the broker benefits from taking a significant cut in each transaction with very low fixed costs, and merchants are able to reduce their advertising costs, gain access to new markets and drive traffic to their stores. The phenomenal growth of social buying carries commensurate risks for brokers, including increased competition due to a lack of service differentiation and low entry barriers. The complete social buying transaction is completed over two stages: the initial online e-commerce transaction and the subsequent fulfilment transaction where the voucher is redeemed with the merchant. In order to explore the sustainability of the social buying business model, it is necessary to identify the factors which drive loyalty behaviours in social buying, as well as the interrelationships between the factors. This research proposes from the marketing literature Oliver’s (1980) expectancy-disconfirmation theory (EDT) as the main theoretical framework on which to model these relationships. EDT is then successfully synthesised with DeLone and McLean’s (2003) information systems success model to create a framework which can appropriately model both the online and traditional stages of the social buying transaction. This study contributes to the marketing literature by establishing EDT as a suitable framework for investigating social buying. It is believed that this study is the first to do so. Furthermore, it is believed this is the first study examining the social buying innovation in the South African context. / Graduate School of Business Leadership / MBA

Social buying is a recent marketing innovation in which provides Pareto-improving welfare gains to merchants, consumers, and brokers. Consumers benefit from access to significant discounts on advertised products and services, the broker benefits from taking a significant cut in each transaction with very low fixed costs, and merchants are able to reduce their advertising costs, gain access to new markets and drive traffic to their stores. The phenomenal growth of social buying carries commensurate risks for brokers, including increased competition due to a lack of service differentiation and low entry barriers. The complete social buying transaction is completed over two stages: the initial online e-commerce transaction and the subsequent fulfilment transaction where the voucher is redeemed with the merchant. In order to explore the sustainability of the social buying business model, it is necessary to identify the factors which drive loyalty behaviours in social buying, as well as the interrelationships between the factors. This research proposes from the marketing literature Oliver’s (1980) expectancy-disconfirmation theory (EDT) as the main theoretical framework on which to model these relationships. EDT is then successfully synthesised with DeLone and McLean’s (2003) information systems success model to create a framework which can appropriately model both the online and traditional stages of the social buying transaction. This study contributes to the marketing literature by establishing EDT as a suitable framework for investigating social buying. It is believed that this study is the first to do so. Furthermore, it is believed this is the first study examining the social buying innovation in the South African context. / Graduate School of Business Leadership / MBA

Abstract The main focus of this study is the identification of factors influencing the use and effectiveness of information system development methodologies (Le., systems development methodologies) in health information systems. In essence, it can be viewed as exploratory research, utilizing a conceptual research model to investigate the relationships among the hypothesised factors. More specifically, classified as behavioural science, it combines two theoretical models, namely the Unified Theory of Acceptance and Use of Technology and the Expectancy Disconfirmation Theory. The main aim of behavioural science in information systems is to assist practitioners (Le., social actors) in improving business processes and competitiveness, thus the effective use of information systems. A wider view of behavioural science incorporates other social actors (e.g., end users) and organisational actors (e.g., executives). In health information systems, the effective use of information systems is especially relevant Health information systems are vital in the area of health care, since only by having access to pertinent health information, can the correct decisions relating to diagnostics and curative procedures be made. The use of systems development methodologies in health information systems development is therefore crucial, since they can make the development process more effective, while improving software quality. By empirically evaluating the conceptual research model, utilizing a survey as the main research method and structural equation modelling as the main statistical technique, meaningful results were obtained. Focussing on the factors influencing the individual's behavioural intent, it was found that the compatibility of systems development methodologies to the developer's pre-existing software development style is vital. Furthermore, performance expectancy, self-efficacy, organisational culture, policies, customer influence, voluntariness and facilitating conditions, all directly influenced the use of systems development methodologies, with policies and customer influence playing a significant role, especially in relation to health information systems. No significant direct effects or indirect effects could be established for the factors effort expectancy, personal innovativeness and social influence. It appears that individuals working in the health care software development discipline are more autonomous, less influenced by others. Also, the lack of support for the factor effort expectancy may indicate that systems development methodologies have entered a mature state, with less concern on the effort required for use. Furthermore, with regard to effectiveness and the continued use of information systems methodologies, satisfaction had a significant direct effect, with confirmation having a significant indirect effect. Keywords: behavioural science; conceptual research model; direct effect; exploratory research; Expectancy Disconfirmation Theory; indirect effect; Unified Theory of Acceptance and Use of Technology; structural equation modelling; survey; systems development methodologies. / Thesis (Ph.D. (Computer Science))--North-West University, Potchefstroom Campus, 2010.

Abstract The main focus of this study is the identification of factors influencing the use and effectiveness of information system development methodologies (Le., systems development methodologies) in health information systems. In essence, it can be viewed as exploratory research, utilizing a conceptual research model to investigate the relationships among the hypothesised factors. More specifically, classified as behavioural science, it combines two theoretical models, namely the Unified Theory of Acceptance and Use of Technology and the Expectancy Disconfirmation Theory. The main aim of behavioural science in information systems is to assist practitioners (Le., social actors) in improving business processes and competitiveness, thus the effective use of information systems. A wider view of behavioural science incorporates other social actors (e.g., end users) and organisational actors (e.g., executives). In health information systems, the effective use of information systems is especially relevant Health information systems are vital in the area of health care, since only by having access to pertinent health information, can the correct decisions relating to diagnostics and curative procedures be made. The use of systems development methodologies in health information systems development is therefore crucial, since they can make the development process more effective, while improving software quality. By empirically evaluating the conceptual research model, utilizing a survey as the main research method and structural equation modelling as the main statistical technique, meaningful results were obtained. Focussing on the factors influencing the individual's behavioural intent, it was found that the compatibility of systems development methodologies to the developer's pre-existing software development style is vital. Furthermore, performance expectancy, self-efficacy, organisational culture, policies, customer influence, voluntariness and facilitating conditions, all directly influenced the use of systems development methodologies, with policies and customer influence playing a significant role, especially in relation to health information systems. No significant direct effects or indirect effects could be established for the factors effort expectancy, personal innovativeness and social influence. It appears that individuals working in the health care software development discipline are more autonomous, less influenced by others. Also, the lack of support for the factor effort expectancy may indicate that systems development methodologies have entered a mature state, with less concern on the effort required for use. Furthermore, with regard to effectiveness and the continued use of information systems methodologies, satisfaction had a significant direct effect, with confirmation having a significant indirect effect. Keywords: behavioural science; conceptual research model; direct effect; exploratory research; Expectancy Disconfirmation Theory; indirect effect; Unified Theory of Acceptance and Use of Technology; structural equation modelling; survey; systems development methodologies. / Thesis (Ph.D. (Computer Science))--North-West University, Potchefstroom Campus, 2010.

Made available in DSpace on 2014-12-17T13:53:36Z (GMT). No. of bitstreams: 1 FernandoAMP_DISSERT.pdf: 4889933 bytes, checksum: eb2490758c2015cbb2e20ab438824277 (MD5) Previous issue date: 2013-03-21 / The present study aims to investigate the constructs of Technological Readiness Index (TRI) and the Expectancy Disconfirmation Theory (EDT) as determinants of satisfaction and continuance intention use in e-learning services. Is proposed a theoretical model that seeks to measure the phenomenon suited to the needs of public organizations that offer distance learning course with the use of virtual platforms for employees. The research was conducted from a quantitative analytical approach, via online survey in a sample of 343 employees of 2 public organizations in RN who have had e-learning experience. The strategy of data analysis used multivariate analysis techniques, including structural equation modeling (SEM), operationalized by AMOS? software. The results showed that quality, quality disconfirmation, value and value disconfirmation positively impact on satisfaction, as well as disconfirmation usability, innovativeness and optimism. Likewise, satisfaction proved to be decisive for the purpose of continuance intention use. In addition, technological readiness and performance are strongly related. Based on the structural model found by the study, public organizations can implement e-learning services for employees focusing on improving learning and improving skills practiced in the organizational environment / Este estudo busca investigar os construtos da Escala de Prontid?o Tecnol?gica (TRI) e da Teoria da Desconfirma??o da Expectativa (EDT) como determinantes da satisfa??o e da inten??o de continuidade de uso em servi?os de e-learning. ? proposto um modelo te?rico que busque mensurar o fen?meno adequado ?s necessidades das organiza??es p?blicas que oferecem cursos de capacita??o ? dist?ncia com uso de plataformas virtuais para seus funcion?rios. A pesquisa foi desenvolvida a partir de uma abordagem anal?tica quantitativa, por meio de survey online em uma amostra de 343 funcion?rios de 2 organiza??es p?blicas do RN que tiveram experi?ncia em elearning. A estrat?gia de an?lise de dados utilizou t?cnicas de an?lise multivariada, incluindo a an?lise de equa??es estruturais (AEE), operacionalizada pelo software AMOS?. Os resultados apontaram que qualidade, desconfirma??o da qualidade, valor e desconfirma??o do valor impactam positivamente na satisfa??o, assim como a desconfirma??o da usabilidade, a inovatividade e o otimismo. Da mesma forma, a satisfa??o mostrou ser determinante para a inten??o de continuidade de uso. Em adi??o, a prontid?o tecnol?gica e o desempenho apresentam forte rela??o entre si. Com base no modelo estrutural encontrado pelo estudo, as organiza??es p?blicas podem implementar servi?os de e-learning para os funcion?rios se concentrando na melhoria de aprendizagem e no aprimoramento de habilidades praticadas no ambiente organizacional