Philosophiae Doctor - PhD / The increased pervasiveness of information communication and technology and increasing internet access creates anticipation for how contemporary technologies can address critical developmental problems. Non-communicable diseases are the leading cause of death globally, even though more than 40% of the deaths are premature and avoidable. Diabetes is such a disease that causes 80% of non-communicable disease deaths in low and middle-income countries. Diabetes is also the leading cause of death in the Western Cape province of South Africa. Diabetes thus constitutes a challenge to achieve Sustainable Development Goal 3 that focuses on health and well-being for all people, at all ages. The potential of technology, such as the use of m-health applications, is recognised as a means to advance the Sustainable Development Goals through supporting health systems in all countries.

As technology continues to rapidly develop, the realization of Virtual Reality (VR) stores is coming into view for various businesses and industries. As customers today are becoming more aware of their purchasing behaviour and the impact their products have on the environment, it puts pressure on the fashion industry to meet these requirements and needs by developing or adopting new technologies to their practices. In order to try to reduce the sustainability impact of the fashion industry the creation of VR fashion stores may play a role in reducing the need for physical stores, pre-production of clothes, and reducing transportation to reduce the environmental impact. The purpose of this study is to fill the knowledge gap regarding consumers' perceptions of using VR for personal fashion shopping, as well as to explore how consumers perceive the sustainability aspect of VR when considering it as a means to shop for fashion. A theoretical framework regarding this was developed based primarily on the Unified Theory of Acceptance and Use of Technology (UTAUT) model and the Theory of Planned Behavior (TPB). Twelve semi-structured interviews were conducted and then thematically analysed to develop codes and themes related to the research questions. The findings suggest that there is great acceptance of and interest in VR fashion shopping among participants. Participants expected it to become a reality in the future and to become an alternative way of shopping in society. Regarding the perception of the sustainability aspect that VR fashion shopping brings, the study participants noted that they embrace and approve it. However, cost and technological advancements and experiences are of primary importance to them. Future research should focus on conducting wider research regarding VR fashion shopping, as there was an apparent indication that it was accepted by all and something people would choose to use if the technology and opportunity were available.

Learning Management Systems (LMSs) have been an essential part of the e-Learning ecosystem since the 1990s. LMSs have been developed and widely adopted by higher education institutions around the world. Despite the instructional and financial benefits of using LMSs, the adoption and diffusion of LMSs by faculty members continues to be challenging in higher education institutions, and particularly in developing countries. The purpose of this study is to determine the factors influencing the adoption of learning management systems (LMSs) by faculty members in Saudi Arabian higher education. The study employed a mixed method approach and applied the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore these factors. Specifically, the study aims to determine the extent at which Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Conditions (FC), and Social Norms (SN) influence faculty members' Behavioral Intention (BI) to adopt the Blackboard LMS. It also examines the moderating roles of age, gender, experience, perceived voluntariness, and computer self-efficacy on Performance Expectancy (PE), Effort Expectancy (EE), Social Norms (SN), and Facilitating Conditions (FC). The results of the study revealed a strong and positive correlation between performance expectancy and behavioral intention for Blackboard usage. The study also found Effort Expectancy, Facilitating Conditions, and Social Norms to be significant predictors of Behavioral Intention for Blackboard usage. Additionally, the findings show no moderation effects of age, gender, perceived voluntariness, and computer self-efficacy on Performance Expectancy, Effort Expectancy, Social Norms, and Facilitating Conditions. Experience was found to have a moderation effect on the relationship between Social Norms and Behavioral Intention. / Doctor of Philosophy / Learning Management Systems (LMSs) have been an essential part of the Electronic-Learning ecosystem since the 1990s. LMSs have been developed and widely adopted by higher education institutions around the world. Despite the instructional and financial benefits of using LMSs, the usage rate of LMSs by faculty members continues to be challenging in higher education institutions, and particularly in developing countries. The purpose of this study is to determine the factors influencing the usage of learning management systems (LMSs) by faculty members in Saudi Arabian higher education. The study employed a mixed method approach and applied the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore these factors. Specifically, the study aims to determine the extent at which Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Conditions (FC), and Social Norms (SN) influence faculty members' Behavioral Intention (BI) to adopt the Blackboard LMS. It also examines the moderating roles of age, gender, experience, perceived voluntariness, and computer self-efficacy on Performance Expectancy (PE), Effort Expectancy (EE), Social Norms (SN), and Facilitating Conditions (FC). The results of the study revealed a strong and positive correlation between performance expectancy and behavioral intention for Blackboard usage. The study also found Effort Expectancy, Facilitating Conditions, and Social Norms to be strong predictors of Behavioral Intention for Blackboard usage.

Under de senaste åren har artificiell intelligens (AI) blivit ett välkänt och etablerat begrepp i samhället och det har förändrat sättet som människor interagerar med teknik på. Användarna ställer allt högre krav på dagens UX-designers och designprocessen är tidskrävande. För att underlätta och effektivisera arbetet har fler och fler designers fått upp ögonen för hur AI kan vara en användbar designassistent. För UX-designern skapar AI möjligheten att automatisera repetitiva och tidskrävande uppgifter så att man istället kan fokusera på designutmaningarna. Trots en omställning mot en mer AI-involverande IT-bransch samt de många möjligheterna och förväntade fördelarna med att involvera AI i UX-designprocessen finns det UX-designers som inte använder AI. De riskerar att snart räknas som föråldrade och oattraktiva på arbetsmarknaden. Med ett syfte att undersöka UX-designers inställning till AI och vad som avgör om de använder AI i arbetet eller inte utformades en kvalitativ undersökning. Sju yrkesverksamma UX-designers intervjuades kring frågor och teman inspirerade av ramverket Unified Theory of Acceptance and Use of Technology (UTAUT). Resultatet analyserades därefter tematiskt. Resultatet visade att de flesta av deltagarna använde ChatGPT i jobbet och var positiva till AI. De trodde eller visste att AI hade potentialen att effektivisera deras jobb. Det fanns dock bekymmer kring kvaliteten på AI-genererat material, datasäkerhet och AI:s eventuella fördomar. Det fanns också en oro kring den okontrollerade utvecklingen av AI. De UTAUT-teman som verkade påverka deltagarnas användning av AI mest var förväntad prestanda, underlättande förhållanden och social påverkan, och dessa resultat gick delvis i linje med tidigare undersökningar. Tidsbrist samt brist på intresse, inspiration från designkollegor och kunskap om hur AI-verktyg appliceras i UX-designprocessen var tydliga mönster. Trots detta svarade alla deltagare att de troligen skulle använda AI inom de kommande månaderna. De flesta av deltagarna var inte oroliga för att AI skulle ta över UX-designrollen, men menade samtidigt att man måste lära sig att använda AI för att fortsätta vara relevant i framtiden som UX-designer. / During the last few years, artificial intelligence (AI) has become a well-known and established concept in society, changing the way people interact with technology. Today’s UX designers face increasing demands and expectations from users and the design process is time-consuming. To facilitate and make the designer's work more efficient, more and more designers have shown increased interest in how AI can be a useful design assistant. For UX designers AI creates an opportunity to make some repetitive and time-consuming tasks automated, allowing them to focus on design challenges instead. Despite a more AI-involved IT industry and the many opportunities and expected benefits of involving AI in the UX design process, there are UX designers who do not use AI. They risk being considered outdated and unattractive on the job market soon. This study aims to examine UX designers’ attitudes towards AI and what determines whether they use AI in their work or not by conducting a qualitative study. Seven professional UX designers were interviewed on questions and themes inspired by the framework Unified Theory of Acceptance and Use of Technology (UTAUT). The results were then analyzed thematically. The results showed that most of the participants used ChatGPT in their work and were positive about AI. They believed or knew that AI had the potential to make their job tasks more efficient. However, there were concerns about the quality of AI generated material, data security and potential biases of AI. There was also concern about the uncontrolled development of AI. The UTAUT themes that seemed to influence participants' user behavior towards AI the most were Expected Performance, Facilitating Conditions, and Social Influence. These results partly aligned with previous research. The lack of time, interest, inspiration from design colleagues and knowledge about how to implement AI tools in the UX design process were the most prominent patterns. Nevertheless, all participants stated that they would likely use AI in the coming months. Most participants were not worried that AI would take over the role of UX designers, but they argued that you have to learn to use AI to remain relevant in the future as a UX designer.

Yes / In the last few years, several studies have examined the predictors of mobile banking (m-banking) adoption using the unified theory of acceptance and use of technology (UTAUT). However, contradictory results in some of the UTAUT relationships were found in the existing literature. Therefore, we aim to clarify and synthesize the empirical findings from the m-banking studies published since 2004 by conducting weight and meta-analysis with a focus on the UTAUT theory. We also seek to identify the roles of moderating variables on each UTAUT path. A total of 364 path coefficients from 127 studies were relevant for data analysis. CMA software V3 was employed to combine the effect sizes. All UTAUT relationships were found to be significant. Performance expectancy emerged as the strongest antecedent of usage intention. We also find that usage intention is the most critical predictor of use behavior. It was also revealed that sample size and culture significantly moderated the linkages between facilitating conditions and usage intention, effort expectancy and usage intention, and usage intention and use behavior. Theoretical contributions and managerial implications are also discussed toward the end.

As a response to the increased awareness of digital banking together with the Covid-19 pandemic, digital banking has emerged as a true contender to traditional banking in Malaysia. Digital banking services (DBS) serves as a technological advancement to enhance the usefulness and access of all banking features. In order to successfully implement DBS, the awareness of customers’ personal attributes is of significance. Therefore, this study contributes by zooming in on young customers in Malaysia and investigates their intention to use DBS in general as well as highlighting differences between the two specific core banking services deposit and loan. To assess this, the research adopts a quantitative deductive approach, building a conceptual framework upon previous technology adoption theories such as Technology acceptance model (TAM), Diffusion of innovation (DOI) and Unified theory of acceptance and use of technology (UTAUT). Furthermore, data was collected through a survey answered by 432 Malaysian students in Kuala Lumpur and analyzed through PLS-SEM and MGA.  The study found five significant drivers directly or indirectly influencing the intention to use DBS. While some of these drivers had been tested previously, the study developed a fresh constellation of drivers which to the best of the authors’ knowledge had not been tested previously. The analysis demonstrates distinct differences in the relationships between drivers for digital deposit and loan services. Overall, these results provide valuable insights for financial institutions seeking to enhance their digital banking offerings and cater to the preferences of young customers in Malaysia.

I det moderna samhället får Customer Relationship Management och CRM-system en allt större roll och systemanvändare ställer allt högre krav på de system de arbetar i. För att en organisation ska få ut så mycket som möjligt av sitt CRM-system måste användare arbeta i systemen. Det framgår från tidigare forskning att viljan att använda system påverkar användarbeteendet. Därför är det viktigt att studera vad som får användare att vilja använda CRM-system. Detta har studerats i detta uppsatsarbete genom en kvalitativ fallstudie med en tematisk analysmetod vid organisationen Byggföretagen där CRM-systemet heter Tellus. Studiens teoretiska ramverk utgår från Unified Theory of Acceptance and Use of Technology (UTAUT) och har kompletterats med ytterligare teori. En modifierad UTAUT-modell som har tagits fram genom tidigare forskning visar på att det finns variabler och egenskaper hos dessa variabler som påverkar viljan att använda. Variablerna och egenskaperna som påverkar viljan att använda är: förväntad prestation med egenskaperna förväntat resultat, uppfattad nytta och anpassning till arbetet, förväntad ansträngning med egenskaperna uppfattad användbarhet och komplexitet, social påverkan med egenskaperna sociala faktorer, självbild och subjektiva normer, samt underlättande villkor med egenskaperna underlättande villkor* och upplevd beteendekontroll.Slutsatser som studien kommer fram till är att alla variabler påverkar systemanvändare att vilja använda Tellus. Speciellt framgår att utbildning och engagemang från ledningen som är en del av underlättande villkor samt systemkvalitet som ingår i förväntad prestation påverkar viljan att använda CRM-system mest. Det framgår även att självbilden inte verkar påverka viljan att använda Tellus.

In a changing and globalized world, companies are faced with an ever-increased competition. This rapid change has made a big impact, where automation, complex production and customization are common requirements in order to stay competitive. Due to more complex production, companies need to prioritize safety aspects simultaneously as they develop internal processes. The addressed problem in this thesis have been centralized to the department Massamagasinet at Södra Cell in Mönsterås, mainly due to their experienced safety problems regarding forklifts and heavy vehicles. Due to the chosen context, a case study has been conducted in order to create an in-depth understanding of Södra’s witnessed safety issues. The executed thesis has been characterized by three theoretical perspectives: Multi Causational Theory, Unified Theory of Acceptance and Use of New Technology as well as Virtual Reality. Thanks to the theories, an identification of safety shortcomings as well as user requirements was made possible. The context and theoretical perspectives have consistently been linked to chosen technologies, Virtual Reality simulators and RFID. Furthermore, interviews with users as well as software-developers have provided a broader perspective, regarding the situation and techniques mentioned above. Results generated, includes both technical possibilities and limitations based on the thesis initial perspective. Moreover, it has been shown that a potential reduction of identified shortcomings is possible, by using a Virtual Reality simulator and RFID system. However, it’s worth mentioning that such implementations and the advantages they potentially might generate, are feasible first when prevailing requirements regarding the techniques are carefully considered. Investments of similar character require both human and financial resources, where maximum value can be achieved first if the employees stands positively against such implementation. Thanks to the theory Unified Theory of Acceptance and Use of New Technology, this thesis has been enriched with an additional perspective which aimed to investigate how Södra in general, and Massamagasinet in particular, stands towards new techniques.

Information and Communication Technology is used in the education field in Sweden toimprove learning quality. The aim of this research is to investigate the use of LearningManagement Systems in primary schools, in the specific context of the role of LearningManagement System (LMS) in learning and teaching processes from teachers‟perspectives. Furthermore, This Thesis aims to explore teachers‟ perceptions of how touse this learning management system which is used in primary Swedish schools.Six teachers from two different primary schools in small municipality in the south ofSweden participated in semi-structured interviews. The theoretical model of UnifiedTheory of Acceptance and Use of Technology (UTAUT) inspired this qualitativeresearch along with the other related past studies. This quantitative model was only usedto sensitize the research process, for collecting and analysing qualitative data in thisstudy.The different elements of the theory such as performance expectancy, effort expectancy,social influence and facilitating conditions along with studies helps in conducting studybasedon qualitative approach for analysing the interviews. The research results indicatethat teachers were content with the usage of this learning management system, but thereis a lack of knowledge regarding this system. The system is helpful in performanceevaluation, planning, communication and overall working for routine tasks. Theresponses of interviews showed that teachers are not trained for using the features ofLearning management system in the way that it is designed for. The findings showed thatteachers require the support from professionals to integrate the system into their routineplanning. Furthermore, they also emphasise on the need to make the system user-friendlywith easy navigation. The findings of this study were compared to previous studies, anda further comparison was carried out regarding how it relates to the determinants andmoderating factors such as peer influence, internal perceptions and motivations, timeconstraints, organisational structure and facilitating conditions. Hence, support andtraining are needed to enhance learning and teaching through this Learning managementsystem.

The mobile banking is an increasingly popular service for customers of the traditional banking industry. On the surface, China has the highest adoption rate of this new technology, yet many users do not remain active or they only use mobile banking for the simplest tasks such as checking their balance. This research was designed to uncover the reasons for these two issues by identifying the major factors influencing users' intention to continue using mobile banking (continuance intention) as well as their behavioural intention to try new mobile banking functions. To do so, an integrated model was developed on the basis of the unified theory of acceptance and use of technology model (UTAUT), task-technology fit model (TTF) and expectation confirmation model (ECM). Empirical data were collected from China's mobile banking users and the integrated model was tested using Partial Least Squares Structural Equation Modelling (PLS-SEM) approach. The results indicate that the main factors which positively influence the continuance intention include satisfaction, performance expectancy and effort expectancy. Continuance intention, in turn, influences behavioural intention to try new functionality, together with social influence, facilitating conditions and confirmation. Moreover, some mediating effects were discovered. For example, task-technology fit may indirectly affect the continuance intention through users' satisfaction. The research results have a number of theoretical contributions. Firstly, this research discovers that the impact of task-technology fit on users' continuance intention towards mobile banking is fully mediated by users' satisfaction. This enriches the extant literature that is mostly focused on the technology perceptions (e.g. performance expectancy and effort expectancy) of users. Secondly, this research identifies that satisfaction also mediates the impact of confirmation of expectations on continuance intention, also extending the literature on the continuance usage of information systems. Thirdly, this research fills the gap in extant research regarding users' intention to try new mobile banking functions, by proposing a new integrated model using constructs from UTAUT, TTF, and ECM, and demonstrating that continuance intention itself fully mediates the impact of performance expectancy and effort expectancy on behavioural intention. The new model has a high explanatory power than each individual model offers. The research results also have management implications in terms of how to improve the task-technology fit to support continuous use and extended the use of mobile banking. For instance, to improve continuance intention banks can improve satisfaction by optimising task-technology fit. This in turn will require better understanding of users' different task requirements in specific market segments. In addition, banks can also attract users' behavioural intention to try new functionality by timely updating corresponding technology and launching marketing campaigns to keep users informed of any new functions of their mobile banking application.