Den mobila plånboken gör det möjligt att kunna utföra betalningar med hjälp av sin smarttelefon i butiker och har funnits tillgänglig i både Sverige och andra länder runt om i världen under en längre tid. Trots detta visar studier på att denna teknik inte har blivit accepterad av konsumenterna vilket även gör att butiker är motvilliga att investera i denna typ av teknik. Syftet med undersökningen som har genomförts i denna rapport är att delvis undersöka hur utbrett användningen av mobila plånböcker är bland studenter på Högskolan i Skövde, det huvudsakliga syftet är dock att identifiera de faktorer som påverkar konsumenternas acceptans och avsikt att använda mobila plånböcker. Att skaffa en förståelse till hur och varför en individ väljer att acceptera en ny teknik anses vara en av de viktigaste forskningsaspekterna inom informationssystem. Arbetet baseras på en undersökningsmodell som främst härstammar från UTAUT2 och där analysen av data utfördes med PLS-SEM. Resultatet från denna undersökning kan komma att hjälpa de parter och organisationer som är delaktiga i tillhandahållningen av tjänsten mobila plånböcker att identifiera vilka faktorer konsumenter anser vara viktigast för att påbörja användningen av mobila plånböcker och vad som leder till fortsatt användning. Resultatet av undersökningen visar bland annat på att upplevt värde och förväntad prestanda har störst effekt på avsikten att använda mobila plånböcker.

The e-learning system is one of many educational methods that allow flexible learner-centered education. It is also an information system based on the Internet. Hence, the increasing use of the e-learning has provided an inter-disciplinary research opportunity to information systems and educational engineering fields. But the benefits of an e-learning are subjected to the organization¡¦s learning environments, readiness and the acceptance of self-directed users. In other words, self-directed learning (SDL) is a prerequisite to e-learning success. It is important to evaluate the readiness of self-directed users and their acceptance of e-learning system. This paper focuses on examining the applicability of both the technology acceptance model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) in explaining adult self-directed users¡¦ acceptance of e-learning system in a blended learning context. The combination of user groups (adult learners), the technology (e-learning system), and the context (blended learning in a higher education institution) is new to IT acceptance researches. The purpose of this research is to shed light on more effective ways to motivate part-time adult learners to use e-learning system in a higher education institution. This study extends both the TAM and UTAUT models with self-directed learning (SDL) concepts. A questionnaire was developed based on previous works in the areas of technology acceptance and SDL. Based on responses from 433 adult blended learners, both SDL-based TAM and UTAUT models were evaluated in terms of overall fit, explanatory power, and their causal links. Overall, findings suggest that TAM may be more appropriate than UTAUT for examining high SDLRS score user group¡¦s e-learning acceptance behaviour; UTAUT may provide e-learning designers and management teams some crucial suggestions to enhance low SDLRS score users¡¦ system utilization. This study also asserts that the successful transition to an e-learning environment requires that the self-directed learners be actively encouraged and supported by their organizations. Results of this study provide reliable and valid SDL-based TAM and UTAUT instruments for organizations to determine whether their learners had the necessary skills for SDL-based blended learning before investing huge budget and time in a large-scale e-learning project. As more organizations experiment with e-learning systems, the SDL-based TAM and UTAUT models could be used to (a) assess the degree of users¡¦ self-directed readiness before e-learning implementation; and (b) evaluate the factors affecting users¡¦ acceptance of new e-learning system and provide useful remedies for improving system utilization rate after e-learning implementation.

With increasing merging of the Internet in our daily lives, online shopping becomes a new consumption model. The study subject was female customers who did shopping online. By means of performance expectancy, effort expectancy and social influence in terms of Unified Theory of Acceptance and Use of Technology (UTAUT) as well as involvement degree, the study explored if those variations had influenced female customers¡¦ intentions and behaviors on online shopping. We issued 240 questionnaires by purposive sampling and analyzed by quantitative statistics. The result shows that performance expectancy, effort expectancy and social influence originating from UTAUT significantly influenced female customers¡¦ intentions. Moreover, their intentions also significantly influenced their behavior online.

The purpose of this empirical study is to examine the usage of Enterprise Resource Planning Systems (ERPS) in Higher Education Institutes (HEIs). Recently, rapid growth in information technology services compels developing countries to emerge as an information-based society. This emergence corresponds with the calls of researchers to address ERPS (Abbas, 2011). However, there is a scarcity of efforts by researchers to identify the factors contributing to the usage of ERPS at the organisational, departmental and end-user layer in HEIs. To fill this gap, this research develops a Multi-Layer Usage Model (MLUM) to determine the factors of ERPS usage across the organisational, departmental and individual levels of HEIs. The theoretical foundation of this study is adapted from unified theory of acceptance and use of technology developed by Venkatesh et al (2003). The study is unique in many respects. Firstly, it offers a newly developed multi-level conceptual model that is tested empirically using three distinct questionnaires; one for each layer. A large primary dataset, 1317 responses, is collected through three questionnaire from 18 higher education institutions in Pakistan; 86 responses from the organisational layer, 143 from the departmental layer and 1088 from the end-user layer. Structural equation modelling is used to analyse the effect of factors at three layers contributing to the usage of ERPS. Furthermore, the models are refined by applying extensions of structural equation modelling. Results suggest that at the organisational layer human resource availability, tolerance for risks and conflicts, collegial support and collaboration and decision making and control are significant and contributed towards ERPS usage while at the end-user layer behavioural intentions and motivation were insignificant and were therefore, removed from the model. This study contributes to theory development regarding usage of innovations in the under-researched context of HEIs. It also provides indigenous manifestations of ERPS usage that may be used by policy-makers.

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.

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.

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.