Mutah University in Jordan / The full text will be available at the end of the emabargo: 17th June 2024

Yes / Digital payment methods (DPMs) are evolving fast but they are yet to be widely adopted particularly in the developing countries. An initial review of literature suggests that several studies have already been conducted on this topic for understanding antecedents of digital payments adoption. However, only a few studies have examined this emerging topic in the context of developing countries. The aim of this submission is to identify antecedents of consumer adoption and usage of digital payments methods. The results of this literature analysis suggest that constructs related to technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) along with trust and risk are the most frequently examined constructs for determining consumer’s behavioural intention to use and usage of DPMs. The findings from this work can help researchers selecting factors for inclusion in the future empirical works on this topic.

Yes / Background: Electronic personal health records (ePHRs) are secure Web-based tools that enable individuals to access, manage, and share their medical records. England recently introduced a nationwide ePHR called Patient Online. As with ePHRs in other countries, adoption rates of Patient Online remain low. Understanding factors affecting patients’ ePHR use is important to increase adoption rates and improve the implementation success of ePHRs. Objective: This study aimed to examine factors associated with patients’ use of ePHRs in England. Methods: The unified theory of acceptance and use of technology was adapted to the use of ePHRs. To empirically examine the adapted model, a cross-sectional survey of a convenience sample was carried out in 4 general practices in West Yorkshire, England. Factors associated with the use of ePHRs were explored using structural equation modeling. Results: Of 800 eligible patients invited to take part in the survey, 624 (78.0%) returned a valid questionnaire. Behavioral intention (BI) was significantly influenced by performance expectancy (PE; beta=.57, P<.001), effort expectancy (EE; beta=.16, P<.001), and perceived privacy and security (PPS; beta=.24, P<.001). The path from social influence to BI was not significant (beta=.03, P=.18). Facilitating conditions (FC) and BI significantly influenced use behavior (UB; beta=.25, P<.001 and beta=.53, P<.001, respectively). PE significantly mediated the effect of EE and PPS on BI (beta=.19, P<.001 and beta=.28, P=.001, respectively). Age significantly moderated 3 paths: PE→BI, EE→BI, and FC→UB. Sex significantly moderated only the relationship between PE and BI. A total of 2 paths were significantly moderated by education and internet access: EE→BI and FC→UB. Income moderated the relationship between FC and UB. The adapted model accounted for 51% of the variance in PE, 76% of the variance in BI, and 48% of the variance in UB. Conclusions: This study identified the main factors that affect patients’ use of ePHRs in England, which should be taken into account for the successful implementation of these systems. For example, developers of ePHRs should involve patients in the process of designing the system to consider functions and features that fit patients’ preferences and skills to ensure systems are useful and easy to use. The proposed model accounted for 48% of the variance in UB, indicating the existence of other, as yet unidentified, factors that influence the adoption of ePHRs. Future studies should confirm the effect of the factors included in this model and identify additional factors.

This thesis examines the effects of Culture, the Unified Theory of Acceptance and Use of Technology (UTAUT), Expectation Confirmation Theory (ECT) and Technology Readiness (TR) on the satisfaction and usage continuance intention of Internet banking customers within the Saudi Arabian context. The aim is to develop and test a new framework for use in determining the factors that affect Internet banking customers’ actual usage behaviours, with a special focus on the role of cognitive processes, and cultural and personal psychological traits. This research uses cross-sectional survey questionnaire methods within a quantitative approach. 261 valid responses were received. Structural Equation Modelling (SEM) was used to test the hypothesised relationships within the research model in Analysis of Moment Structures (AMOS 20) software. ECT is well established in conventional marketing literature and explains how cognitive beliefs and affects lead to customers’ repurchasing behaviour. It was first adopted for the Information Systems (IS) context and then customised to explain IS continuance intention behaviour. However, previous ECT customisations in the IS context present a significant knowledge gap because technology-based services are sensitive to individuals’ psychological traits, which ECT does not account for. This research integrates psychological traits and culture into the ECT framework to explain customer satisfaction and continuance intentions in the context of Internet banking usage. It combines ECT with the UTAUT in order to expand ECT to include more cognitive beliefs. Then it integrates TR and Culture to account for psychological and sociological traits. The results present a new contribution to the body of knowledge by validating a theoretically backed integration of the above models into one structural model. This model broadens the understanding of the factors that influence IS satisfaction and usage continuance intention. Compared to previous studies, the explanatory power of this model is a major improvement, with an R2 of (0.61) for usage continuance intention.

While research supports the integration of mobile computing into instruction, there is disagreement concerning the unstructured use of mobile devices in lecture-based college classrooms. Research supports the argument that unstructured use creates distraction and decreased academic performance. Research also suggests that unstructured use actually supports lecture instruction through personalized learning situations. In either case, the motivations of students to use mobile device is often unclear. This study sought to investigate the motivations for students’ acceptance of mobile devices. The Unified Theory of Acceptance and Use of Technology (UTAUT) was utilized to identify the factors leading to college students’ adoption of mobile devices. A survey based on UTAUT was distributed to 254 college students in six distinct lecture-based general education courses. The results revealed that Performance Expectancy, Effort Expectancy, and Social Influence were positively correlated with Behavioral Intention for class-related behavior, with Performance Expectancy being the most significant. None of the constructs were significant for behavior unrelated to lecture. Analysis of the students’ intention based on the UTAUT moderators of age, gender, and experience did not produce any significant difference, nor did an analysis of the classes by subject. The study concludes that the ability of a mobile device to complete specific tasks was the strongest motivating factor leading to intention.

At public high schools in Cayman, teachers need to improve their productivity and efficiency by using technologies that are simple and portable like their personal devices. Studies about bring your own device (BYOD) initiatives have revealed conflicting outcomes, and are lacking in the Caribbean and especially in Cayman. The purpose of this quantitative study was to determine the main factors related to teachers' willingness to adopt BYOD in public high schools in Cayman. The theoretical framework was the unified theory of acceptance and use of technology (UTAUT). This study employed a cross-sectional survey design using a modified UTAUT instrument, which captured quantitative data from 82 participants. The use of hierarchical multiple regression to analyze the data revealed that teachers' BYOD adoption could expand by increasing facilitating conditions, performance expectancy, effort expectancy, and decreasing perceived risk. This study reduces the gap in the literature about the unified theory of acceptance and use of technology and BYOD in the Caribbean and the Cayman Islands. It also provides evidence that perceived risk can increase its explanatory power of the unified theory of acceptance and use of technology. The study also contributes to a positive social change by revealing critical issues that administrators should address when devising BYOD policies and planning educational technology integration.

Aus der EINLEITUNG: Nicht immer sind organisationale Veränderungsprozesse von Erfolg gekrönt – wie bei 1000 befragten Unternehmen die vergleichsweise hohe Quote von 38 % an Prozessen belegt, die als gescheitert betrachtet werden [18]. Als häufigste Ursache werden dabei „Widerstände der Mitarbeiter“ genannt. Auch die Implementierung einer neuen Technologie in einer Organisation stellt einen derartig verändernden Eingriff dar, dessen Gelingen nicht zuletzt auch an die Nutzung der neuen Technologie geknüpft ist [10]. Um diesem Ziel gerecht zu werden, existieren in der Informatik zahlreiche Ansätze, die Schnittstellen zwischen Mensch und Technik anwenderfreundlich zu gestalten. Dabei ist insbesondere die Akzeptanz der (neuen) Technologie seitens der Nutzer von zentraler Bedeutung [5]. Denn wenn sich beispielsweise bei der Einführung eines ERP-Systems zur integrierten IT-Portfolio-Planung die Mitarbeiter überwacht und kontrolliert fühlen und aus diesen Motiven heraus Vorwände und Ausreden finden, das System nicht zu nutzen, können sie die Implementierung massiv beeinträchtigen und verzögern, was sich in erhöhtem Aufwand und höheren Kosten niederschlägt. [...]

There are several critical success factors suggested for why agile software development projects succeed, including organisational and process factors. Although there are an increasing number of identified critical success factors, IT professionals lack the modelling techniques and the theoretical framework to help them meaningfully understand their influences. To solve this problem, this study developed a model by employing the following theories: Theory of Reasoned Action (TRA), Theory of Planned Behaviour (TPB), and Unified Theory of Acceptance and Use of Technology (UTAUT) to create a fit model for agile software development projects. The research sought to answer the question: What are the critical success factors that influence the success of agile software development projects? The literature review considers the continued failure of agile and traditional software development projects which have led to the consideration of, and dispute over, critical success factors — the aspects most vital to a methodology’s success. Though TRA, TPB and UTAUT have previously been applied to agile methodologies, empirical models have not been completely integrated to develop a fit model. This research sought to fill this gap. Data was collected in South Africa through a web-based survey using structured questionnaires and an interview guide. Face-to-face interviews were done to identify the critical success factors in agile projects. The data was captured and analysed for descriptive statistics, convergent and discriminant validity, composite and internal reliability, and correlation in order to inform the structural equation modelling (SEM). SEM was used to test the research model and hypotheses to answer the research questions. The results informed development of a comprehensive model that could provide guidelines to the agile community. The study contributes towards understanding the critical success factors for agile projects. It examined direct, indirect and moderating effects, and the findings contribute towards developing a framework to be used by agile professionals. These key result shows that organisational factors have a great influence on performance expectancy characteristics. To ensure success of agile projects, managers are advised to focus on the effect of the organisation’s environment, culture and policies on performance and effort expectancy. / School of Computing / Ph. D. (Computer Science)

Made available in DSpace on 2016-08-02T21:42:40Z (GMT). No. of bitstreams: 1 Lilian Cristina.pdf: 1059441 bytes, checksum: a594dec839ce5298c86a3ae9b48dc804 (MD5) Previous issue date: 2015-02-25 / The turnover intention refers to the probability of individuals leaving their current job. This topic has become relevant to organizations since it is a potential problem, which may affect the organizations competitiveness, amongst other reasons. It is believed that some of the individuals who have turnover intention look for means of communication, new technologies, such as the professional social network LinkedIn, in order to spread their professional information, find professional opportunities by networking, as well as obtain more information about the labor market, besides different other functions. Therefore, the turnover intention may be considered as a previous factor to the individual adoption of the professional social network LinkedIn. This study has analyzed the previous factors that may influence the usage and how they use the professional social network LinkedIn, guided by the theoretical perspective of the Unified Theory of Acceptance and Use of Technology (UTAUT), by Venkatesh et al (2003), and also guided by the scale of the turnover intention, by Siqueira et al (2014)and Van Dam (2008). The research is based on a quantitative investigation approach, in which data collection was done using a research tool, and obtained 292 answered questionnaires, which has made it possible to validate the relations between the constructs of the research model developed for the study of the individual adoption of the professional social network LinkedIn. There was an analysis of structural equations to make the test of the study hypotheses, based on PLS-PM (Partial Least Squares Path Modeling) from which satisfactory measures for all the investigated constructs and proposed models were presented, and all the relations between the constructs were significant. The results obtained by this study confirm the influence of previous factors, such as Performance Expectancy, Effort Expectancy, Social Influence, and Turnover Intention, on the intention of using the professional social network LinkedIn. The study concludes that the Performance Expectancy was revealed to be the greatest influence in the intention of using LinkedIn, since there is the perception that by using it, it is possible to obtain some professional benefits as well as other aspects. The second factor to present the greatest influence was the Turnover Intention, once some individuals, by adopting LinkedIn, may tend to show it to other people or organizations that are interested in their talents, experiences, skills, network and so on. The Effort Expectancy, in turn, showed that some individuals notice it is easy to interact with such technology, and the Social Influence showed that there is the individuals perception as to the influence of their network in their intention of using LinkedIn. / A intenção de rotatividade refere-se à probabilidade de os indivíduos deixarem o seu trabalho atual. Este tema se tornou relevante para as organizações por ser um potencial problema que pode afetar a competitividade das organizações, entre outros motivos. Acredita-se que alguns dos indivíduos com intenção de rotatividade possivelmente buscam meios de comunicação, novas tecnologias, como a rede social profissional LinkedIn objetivando disseminar suas informações profissionais, localizar oportunidades profissionais, obter mais contatos e informações sobre o mercado de trabalho, entre outras possibilidades. Desse modo, a intenção de rotatividade pode ser avaliada como um fator antecedente à adoção individual da rede social profissional LinkedIn. Este estudo analisou os fatores antecedentes que podem influenciar a intenção de uso e o comportamento de uso da rede social profissional LinkedIn, apoiando-se na perspectiva teórica da Teoria Unificada de Aceitação e Uso da Tecnologia (UTAUT), de Venkatesh et al (2003), e na escala de intenção de rotatividade, de Siqueira et al (2014) e Van Dam (2008). A pesquisa fundamenta-se em uma abordagem de investigação quantitativa na qual os dados foram coletados por meio de um instrumento de pesquisa com a obtenção de 292 questionários respondidos, o que possibilitou a validação dos relacionamentos entre os construtos componentes do modelo de pesquisa desenvolvido para o estudo da adoção individual da rede social profissional LinkedIn. Para realizar o teste das hipóteses do estudo, procedeu-se a análise de equações estruturais, com base no PLS-PM (Partial Least Squares Path Modeling) a partir do qual foram apresentadas medidas satisfatórias para os construtos investigados e o modelo proposto, sendo significativas todas as relações entre os construtos. Os resultados obtidos por esta pesquisa confirmam a influência dos fatores antecedentes Expectativa de Desempenho, Expectativa de Esforço, Influência Social e Intenção de Rotatividade na intenção de uso da rede social profissional LinkedIn. O estudo concluiu que Expectativa de Desempenho revelou-se o fator que mais influencia na intenção de uso do LinkedIn, pois há a percepção de que ao utilizar o LinkedIn pode-se obter benefícios profissionais, entre outros aspectos. O segundo fator que apresentou maior influência na intenção de uso do LinkedIn foi a intenção de rotatividade, uma vez que alguns dos indivíduos, ao adotarem o LinkedIn, provavelmente tendem a mostrar para as outras pessoas/organizações interessadas quais são os seus talentos, suas experiências, competências, além de obter mais contatos, entre outros motivos. Já a Expectativa de Esforço demonstrou que alguns indivíduos percebem que é fácil a interação desta tecnologia. A Influência Social constatou que existe a percepção dos indivíduos quanto à influência da sua rede de contatos na intenção de uso do LinkedIn.

The research outlined in this thesis focuses on the effects of implementation and use of mobile payments as experienced by older adults aged 55-75, as qualitatively examined through research interviewees (hereafter participants of this study) made up of individuals with varying cultural and technological backgrounds, who are acclimated to Greece’s culture and have lived within the country for at least a decade. Their own perception and reception of the practice allows for a more comprehensive look into the practical application of the technology within the country. No empirical studies are available on the aforementioned topic, despite the high importance and need for such study. Therefore, this research is carried out through a literature review. It then analyzes two models namely technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) model. It applies a phenomenological research method and provides us with a more concise, contextualized background into the widespread application of m-payment and m-commerce within the country. This research contributes new knowledge to m-payment and m-commerce through theoretical and empirical research and benefits the interpretation of a recently emerging phenomenon. The research results are useful to various groups associated with mpayments and m-commerce. Future research directions concerning this phenomenon involve the reception and enhancement of m-payment methods by older adults.