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.

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.

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.

Responding to globalization and its effects on education and research development, the Thai government decided to push all public universities to become autonomous and establish a system of quality assurances. The establishment of quality assurances has had a large impact on many Thai instructors, especially in new public universities. Thai instructors are now forced to more focus on conducting research because the number of research publications is regarded as one of the main criteria for quality universities. The purpose of this study is to investigate the key factors, at the individual and university levels, which impact on the instructors' behavior in conducting research of the full-time instructors in the faculty of Management Science from the Rajabhat Universities in Thailand. The current study will help explain how and why the instructors accept or refuse to conduct research and provide insight into the salient factors motivating the instructors to produce more research by conducting HLM. Data were collected from 694 participants at 37 institutions via a questionnaire survey. The findings revealed that there was no difference among these 37 universities on behavior in conducting research. The key factors statistically influencing behavior in conducting research of the instructors were facilitating conditions, academic degree, social influence, and usefulness as well as ease of conducting research that the instructors perceived. This study gained 46% of effect size.

Rapid diffusion and use of smartphones in Africa are challenging, given the state of its infrastructural facilities. The problem addressed was a lack of information on the adoption behavior and the sociodevelopmental effect of smartphone acceptance among rural and urban users in Nigeria. The purpose of this study was to examine the adoption behavior and the sociodevelopmental effect of smartphone acceptance among rural and urban residents. Research questions examined the relationship of performance expectancy, social influence, price value, and habit on adopters' intentions to use smartphones, continued use of smartphones, and the sociodevelopmental effect on smartphone users lives and standard of living. The theoretical foundation of the study was based on the unified theory of acceptance and use of technology, and expectation confirmation theory. A nonexperimental cross-sectional survey design was used to collect and analyze data obtained from the target population of approximately 14 million with a sample size of 385 based on 95% confidence level. Survey data were collected using a research instrument developed by Bhattacherjee, Venkatesh, and others and analyzed via multivariate regression. Findings indicated that the positive effect of performance expectancy on intent to use smartphones was stronger among urban than among rural dwellers. No other location-moderated relationships were found. There was a strong positive correlation (β = .761, p < .001) between intent to use smartphones and continued use of smartphones. The findings of this study may promote social change by providing valuable data to service providers and regulators for realignment of investment strategies and the reevaluation of national policies on communication technology development.

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