Este estudo tem o objetivo de desvelar fatores determinantes de aceitação e uso de um Sistema de Informações implementado na área produtiva. O mapeamento destes fatores é obtido a partir das percepções dos operadores de produção. Esta pesquisa foi conduzida na área de fabricação de componentes, das unidades Planalto e Ana Rech, da empresa Marcopolo S/A, encarroçadora de ônibus sediada em Caxias do Sul. Quanto ao método, este estudo pode ser enquadrado como um estudo de caso com caráter descritivo que fez uso de análises quantitativas. As principais ferramentas estatísticas utilizadas na análise dos dados coletados foram: análise de agrupamentos (cluster), análise discriminante, análise fatorial e regressão múltipla. A triangulação dos dados foi executada com coleta de dados por observação pessoal e documental. Os principais resultados obtidos neste estudo foram: a determinação de quatro clusters que compartilham os mesmos perfis de respostas; a redução das variáveis a quatro fatores latentes, correlacionados ao modelo UTAUT proposto por Venkatesh et al. (2003); e a composição de equações preditoras que permitiram evidenciar quais os fatores que mais influenciam nas percepções de importância e satisfação do sistema denominado IMM. / This study aims to reveal determinant factors of acceptance and use of an information system implemented in the production area. Mapping of these factors derives from the perceptions of production workers. This research was conducted in two plants of Marcopolo S/A (Planto and Ana Rech), in its components manufacturing area. Marcopolo S/A is a bus body builder based in Caxias do Sul. This study is considered a descriptive case study with quantitative analysis in terms of research method. The main statistical tools used in data analysis phase were cluster analysis, discriminant analysis, factor analysis and multiple regression. Triangulation was performed with the data collected by personal observation and documents. Main results of this study were: determine four clusters that share similar profiles of respondents; reduction of latent variables to four factors correlated to the UTAUT model, proposed by Venkatesh et al. (2003); and composition of predictive equations to highlight factors that influence the perceptions of importance and satisfaction in a system called IMM.

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.

There was a lack of knowledge about the user’s acceptance of smart devices as ubiquitous learning (u-learning) tools at higher education institutions in Sweden. As the mobile technology grows, the demand for mobile devices, particularly smart devices increases as well. With the increase in the usage of smart devices, the higher education institutions provide mobile learning platforms to attract more customers in the competitive industry of education. Thus, understanding the key factors from the perspectives of end-users is important for the institutions to survive in the competitive market. This study explores and explains Behavioral and Continuance intentions of students regarding the acceptance and usage of smart devices (Smartphones and Personal Digital Assistants or PDA) as u-learning tools. Key factors related to the users’ intentions to accept and continue using smart devices as u-learning tools were identified and hypothesized in the Swedish context. Ten hypotheses were suggested based on TAM, UTAUT, and ECT. To achieve the aim and objective of this study, a quantitative approach was chosen, and a survey strategy based on purposive and convenience sampling techniques were used. A web-based questionnaire on five-points Likert Scale was designed to collect the required data. 115 (96 valid) students answered the questionnaire. The collected data were used to conduct statistical operations in SPSS. Five hypotheses were supported, and the other five were not. The findings suggest that Performance Expectancy, Perceived Mobility value, Confirmation, and Satisfaction positively influence both Behavioral and Continuance Intentions of students to accept and continue using smart devices as u-learning tools. According to the findings, Confirmation and Satisfaction from ECT can be included as separate constructs in UTAUT and UTAUT2. Higher education institutions planning to have (and those that already have) learning platforms, compatible with smart devices, can benefit from the findings. Higher education institutions can also design their u-learning platforms according to the Performance Expectancy, Perceived Mobility value, Confirmation, and Satisfaction of the students. / Master program in Strategic-IT Management

Este estudo tem o objetivo de desvelar fatores determinantes de aceitação e uso de um Sistema de Informações implementado na área produtiva. O mapeamento destes fatores é obtido a partir das percepções dos operadores de produção. Esta pesquisa foi conduzida na área de fabricação de componentes, das unidades Planalto e Ana Rech, da empresa Marcopolo S/A, encarroçadora de ônibus sediada em Caxias do Sul. Quanto ao método, este estudo pode ser enquadrado como um estudo de caso com caráter descritivo que fez uso de análises quantitativas. As principais ferramentas estatísticas utilizadas na análise dos dados coletados foram: análise de agrupamentos (cluster), análise discriminante, análise fatorial e regressão múltipla. A triangulação dos dados foi executada com coleta de dados por observação pessoal e documental. Os principais resultados obtidos neste estudo foram: a determinação de quatro clusters que compartilham os mesmos perfis de respostas; a redução das variáveis a quatro fatores latentes, correlacionados ao modelo UTAUT proposto por Venkatesh et al. (2003); e a composição de equações preditoras que permitiram evidenciar quais os fatores que mais influenciam nas percepções de importância e satisfação do sistema denominado IMM. / This study aims to reveal determinant factors of acceptance and use of an information system implemented in the production area. Mapping of these factors derives from the perceptions of production workers. This research was conducted in two plants of Marcopolo S/A (Planto and Ana Rech), in its components manufacturing area. Marcopolo S/A is a bus body builder based in Caxias do Sul. This study is considered a descriptive case study with quantitative analysis in terms of research method. The main statistical tools used in data analysis phase were cluster analysis, discriminant analysis, factor analysis and multiple regression. Triangulation was performed with the data collected by personal observation and documents. Main results of this study were: determine four clusters that share similar profiles of respondents; reduction of latent variables to four factors correlated to the UTAUT model, proposed by Venkatesh et al. (2003); and composition of predictive equations to highlight factors that influence the perceptions of importance and satisfaction in a system called IMM.

Förväntad effekt av vårdens elektroniska IT-system är ökad patientsäkerhet, vårdkvalitet och tillgänglighet. Ett första villkor för att kunna uppnå detta är att IT-systemet används. I denna studie granskas ett underutnyttjat IT-system, använt för informationsöverföring mellan olika huvudmän vid samordnad vård- och omsorgsplanering. Granskningen baseras på teorier om hur individers intention och vilja till att använda ett IT-system initieras eller upprätthålls genom omgivningens påverkan. Resultatet visar att IT-användare i den patientnära vården (mikrosystemet) saknar adekvat tekniskt, organisatoriskt (mesosystemet) och ledningsstöd (makrosystemet), vilket kan förklara underutnyttjandet. / Expected impact of electronic healthcare systems is increasing patient safety, care quality and availability. Using the system is essential to achieve this. This study explain the assimilation gap in an electronic healthcare system used in coordinated care planning by theories how individuals’ intentions and willingness to use electronic systems is affected by environmental influences. The result shows that the end users lack technical, organizational, and management support, which can explains the assimilation gap.

Este estudo tem o objetivo de desvelar fatores determinantes de aceitação e uso de um Sistema de Informações implementado na área produtiva. O mapeamento destes fatores é obtido a partir das percepções dos operadores de produção. Esta pesquisa foi conduzida na área de fabricação de componentes, das unidades Planalto e Ana Rech, da empresa Marcopolo S/A, encarroçadora de ônibus sediada em Caxias do Sul. Quanto ao método, este estudo pode ser enquadrado como um estudo de caso com caráter descritivo que fez uso de análises quantitativas. As principais ferramentas estatísticas utilizadas na análise dos dados coletados foram: análise de agrupamentos (cluster), análise discriminante, análise fatorial e regressão múltipla. A triangulação dos dados foi executada com coleta de dados por observação pessoal e documental. Os principais resultados obtidos neste estudo foram: a determinação de quatro clusters que compartilham os mesmos perfis de respostas; a redução das variáveis a quatro fatores latentes, correlacionados ao modelo UTAUT proposto por Venkatesh et al. (2003); e a composição de equações preditoras que permitiram evidenciar quais os fatores que mais influenciam nas percepções de importância e satisfação do sistema denominado IMM. / This study aims to reveal determinant factors of acceptance and use of an information system implemented in the production area. Mapping of these factors derives from the perceptions of production workers. This research was conducted in two plants of Marcopolo S/A (Planto and Ana Rech), in its components manufacturing area. Marcopolo S/A is a bus body builder based in Caxias do Sul. This study is considered a descriptive case study with quantitative analysis in terms of research method. The main statistical tools used in data analysis phase were cluster analysis, discriminant analysis, factor analysis and multiple regression. Triangulation was performed with the data collected by personal observation and documents. Main results of this study were: determine four clusters that share similar profiles of respondents; reduction of latent variables to four factors correlated to the UTAUT model, proposed by Venkatesh et al. (2003); and composition of predictive equations to highlight factors that influence the perceptions of importance and satisfaction in a system called IMM.

Rapid technological progress has transformed our daily activities. One of these is how we pay for goods. Mobile payment is a payment option with great potential, but it is still struggling to become part of individuals' daily life. Previous research shows that adoption and acceptance of mobile payment vary widely between different countries. It is important to understand the determinants of mobile payment adoption, as cultural differences between countries may be one of the primary reasons for the different degrees of user mobile payment adoption. The purpose of this study is to investigate the factors, which influence user adoption of mobile payment in one Asian country, China, and one European country, Sweden. In addition, the aim of the study is to explore the difference in mobile payment adoption from the cultural point of view at an individual level. In this study, two research questions are proposed: what influences user intention to adopt mobile payment in the context of China and Sweden, and how does an individual culture influence user adoption of mobile payment in the context of China and Sweden. The research was conducted with a combination of an extended UTAUT (Unified Theory of Acceptance and Use of Technology) model with the added concept of Perceived Information security and Hofstede's cultural theory. Altogether, it was studied how these concepts influence Behavioural intention.  Based on the literature review of mobile payment adoption by users and Hofstede's culture theory, this study uses qualitative research to interpret the phenomenon on a deeper level with the intention of explaining it. Through observation, interviews, and questionnaires, several conclusions were drawn. The analysis of the results showed that the proposed research model applies to China and Sweden. Performance Expectancy, Effort Expectancy, and Social Influence have influenced the user mobile payment adoption in both studied countries, and Perceived Information Security has a strong influence on users in Sweden. The results also show that Power Distance, Collectivism, and Masculinity have a strong moderating effect on the behavioural intention of users in China, while Collectivism and Femininity have a strong moderating effect on the behavioural intention of users in Sweden. On this basis, it is suggested that cultural factors be incorporated into the research model of technology acceptance, and further research should be conducted in different countries to provide different perspectives.

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Background: Emerging in December 2019, the COVID-19 pandemic profoundly changed consumer behaviour leading to social distancing and mitigating physical contact. Statistics show an increased use of contactless and mobile payment usage and adoption during the pandemic. It is unclear how valid previous models on mobile payment adoption explain adoption behaviour in emergency situations. While there are few studies approaching the adoption behaviour during the pandemic, there is also little previous research on mobile payment adoption prior to the pandemic in Germany. Purpose: The present thesis intends to advance several previously researched technological adoption frameworks to focus on and measure consumers’ perception of mobile payment technology adopting during the COVID-19 pandemic. Hence, our model provides a basis to understand mobile payment adoption in Germany during the pandemic. Method: Based on hypotheses derived from an adapted UTAUT2 model, we conducted quantitative deductive research reaching 258 questionnaire participants based in Germany. The empirical data was analysed through structural equation modelling. Conclusion: The findings show that Performance Expectancy still represents the primary driver of intention to adopt mobile payments during the pandemic, yet it is strongly supported by the initially contextualised Contamination Avoidance element and complemented by Habit, Effort Expectancy. Practitioners benefit from the study to better tailor campaigns in accordance with the main driver of adoption behaviour, while our findings contribute new insights into technology adoption in Germany during emergency situations.