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.

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.

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.

The goal of this thesis was to investigate the factors that influence the adoption of big data analytics by public sector employees based on the adapted Unified Theory of Acceptance and Use of Technology (UTAUT) model. A mixed method of survey and interviews were used to collect data from employees of a Canadian provincial government ministry. The results show that performance expectancy and facilitating conditions have significant positive effects on the adoption intention of big data analytics, while effort expectancy has a significant negative effect on the adoption intention of big data analytics. The result shows that social influence does not have a significant effect on adoption intention. In terms of moderating variables, the results show that gender moderates the effects of effort expectancy, social influence and facilitating condition; data experience moderates the effects of performance expectancy, effort expectancy and facilitating condition; and leadership moderates the effect of social influence. The moderation effects of age on performance expectancy, effort expectancy is significant for only employees in the 40 to 49 age group while the moderation effects of age on social influence is significant for employees that are 40 years and more. Based on the results, implications for public sector organizations planning to implement big data analytics were discussed and suggestions for further research were made. This research contributes to existing studies on the user adoption of big data analytics.

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.

ChatGPT is a newly launched Artificial Intelligence (AI) powered model with several functions, providing the user with human-like responses. Recently, ChatGPT have gain a lot of recognition and popularity. The aim of this research is to examine the perceptions of ChatGPT from a Swedish professional service workers (PSW) perspective. More precisely, the study explores how the usage of ChatGPT in regard to supporting various work tasks is perceived. Additionally, the aim is to examine what factors could influence the perceptions regarding the model, and how the information provided is viewed by PSWs. The research uses a qualitative approach, and the data is collected through semi-structured interviews. Moreover, the study uses a thematic analysis for the analysis of data gathered. Additionally, the study uses Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the factors influencing PSWs perception of ChatGPT. The findings show that PSWs believed that ChatGPT could be used to support some of their work tasks. The model was seen as easy to use and had its benefits, such as perceived increased productivity and efficiency. However, the findings also indicate that there are several challenges that could influence the overall usage of ChatGPT. Overall, both performance expectancy and effort expectancy showed to be important factors of the evaluation of ChatGPT usage in this study. Moreover, the findings indicate that the functions and information provided by ChatGPT could influence the perceptions. For example, lack of references, lack of human touch, and security issues were found to influence the interviewed PSWs. Additionally, the study concludes that there are several perceived areas of improvements regarding ChatGPT. This research contributes with knowledge about ChatGPT from a PSWs perspective and how it could be used for work related tasks.

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.

Businesses nowadays are increasingly adopting new technologies to obtain competitive advantages. Artificial Intelligence (AI) stands out as an advanced, novel technology that has potential benefits across industries. The fast-food industry is one such industry that is highly competitive, evolving, and requires advanced technologies to cater to modern customers who increasingly demand fast, digitized services. Increased customer engagement has also become a main driving force to adopt technologies since these consumers demand quick, personalized, digitized services. The fast-food industry, compared to other industries, produces food that is perishable, and quick, which demands proper handling before, during, and after preparation, for instant consumption. Services should be quick, fast, and accessible, where adopting advanced technologies has become a necessity for the industry players' survival. Larger organizations have successfully adopted AI and have harnessed a competitive advantage. Conversely, Smaller and Medium Enterprises (SMEs) have successfully adopted digital technologies, assuming it as AI. They have not yet translated to adopt AI, which could threaten their survival and competitiveness in a highly evolving, dynamic industry. On the other hand, AI is a novel technology that has much potential, yet many are unaware of where the technology is heading, specifically, SMEs have a limited understanding and exposure to this technology, demanding more research.  The main purpose of this study is to gain a comprehensive understanding of how fast-food SMEs in Sweden perceive AI, the reasons for non-adoption, and the reasons influencing the behavioral intention to utilize AI for customer engagement within the organization. The study utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to analyze how performance expectancy, effort expectancy, social influence, and facilitating conditions influence individual SMEs' behavioral intentions towards AI adoption on customer engagement by studying it from an individual, organizational context. Through qualitative interviews with fast-food SME owners, IT managers, and marketing managers, the research explored a nuanced understanding of how AI is being perceived by SMEs, challenges, barriers, and factors influencing their adoption behavior.  The research findings indicated that AI technology itself is immature and the immediate business use case is not apparent for SMEs. It was also revealed that SMEs have a misconception between AI and digital technologies. Though there is enthusiasm and willingness to adopt AI within SMEs, significant challenges remain, such as a lack of understanding about AI, resource constraints, complexity, skills, and influences from competitors and stakeholders. The research identified factors specific to SMEs that contribute to extending the UTAUT framework, such as customized payment plans, establishing technology associations, and new business models suiting SMEs. It was further evidenced that customer engagement is not an impactful mediator that influences AI adoption within SMEs. It was concluded that though SMEs have the potential to improve performance, their adoption is limited due to the immaturity of AI and due to identified challenges.