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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.