Yes / Citizens’ satisfaction is acknowledged as one of the most significant influences for e-government adoption and diffusion. This study examines the impact of information quality, system quality, trust, and cost on user satisfaction of e-government services. Using a survey, this study collected 1518 valid responses from e-government service adopters across the United Kingdom. Our empirical outcomes show the five factors identified in this study have a significant impact on U.K. citizens’ satisfaction with e-government services.

Yes / Mobile banking is one of the most promising technologies that has emerged in recent years and could prove to have considerable value to both banks and customers. Thus, this study recognises the need to test the main factors that could predict the use of mobile banking as well as how using such a system could contribute to both customer satisfaction and customer loyalty. The conceptual model of this study combines two models (i.e. UTAUT2 and the D&M IS Success Model). A questionnaire survey was conducted to collect the required data from convenience sampling of Saudi bank customers. The main factors – performance expectancy, price value, facilitating conditions, hedonic motivation, habit, system quality and service quality – were found to have a significant impact on actual use behaviour. This study was cross-sectional, therefore future studies should implement longitudinal studies in order to re-collect the findings. Further, this study adopted convenience sampling of Saudi M-Banking users. This may adversely impact the issue of generalisability to the whole population. The gap in the M-Banking literature in Saudi Arabia would be bridged by proposing a comprehensive conceptual model that scrupulously clarifies the use of M-Banking from the perspective of Saudi users. Furthermore, this study would consider the adoption of numeric data in order to inferentially analyse them using SEM. This in turn would assist in generalising the findings to the whole Saudi population.

Small and medium sized companies can utillise information systems (IS) to overcome restrictions imposed by their often limited resources. This dissertation investigates which factors contribute to an IS’s success in enabling managerial accounting at small and medium sized manufacturing firms in Germany. An adaptation of the IS Success Model is used as the research model for a quantitative empirical survey among 5,831 companies. Structural equation modelling confirms the model and reveals two major findings: (1) The users’ Satisfaction with the IS is the strongest determinant of Net Benefits for managerial accounting. By contrast, the Perceived Usefulness of the IS has only an indirect influence. (2) Satisfaction has a significant influence on all Net Benefits, of which Reduced Uncertainty has the largest explained variance.

Small and medium sized companies can utillise information systems (IS) to overcome restrictions imposed by their often limited resources. This dissertation investigates which factors contribute to an IS’s success in enabling managerial accounting at small and medium sized manufacturing firms in Germany. An adaptation of the IS Success Model is used as the research model for a quantitative empirical survey among 5,831 companies. Structural equation modelling confirms the model and reveals two major findings: (1) The users’ Satisfaction with the IS is the strongest determinant of Net Benefits for managerial accounting. By contrast, the Perceived Usefulness of the IS has only an indirect influence. (2) Satisfaction has a significant influence on all Net Benefits, of which Reduced Uncertainty has the largest explained variance.

This research studies the interaction between eHealth and implementation success. eHealth has become an important subject of discussion and evaluation for healthcare organisations over the last decade or so, and has also been the focus of national healthcare programs and plans. Billions of pounds are being spent on implementations of eHealth. Those implementations endeavour to cut costs, while at the same time, achieving enhanced efficiency and accuracy. Hence, understanding success in eHealth has become an attractive topic for research and a requirement in healthcare practice. This research aims to understand the definitions and factors of success in implementations of eHealth. In doing so, it examined the suitability of the Delone and McLean Information Systems (D&M IS) success model to explain eHealth success. A multistage research design was adopted. The first stage was composed of a thorough Systematic Literature Review that covered the origins and development of eHealth, the different themes in the research around eHealth, the concept of Critical Success Factors in IS, and the available frameworks for IS implementations, in general, and eHealth, in specific. As for the second stage, which constituted the core of this study, it was based on an exploratory, mixed-methods approach to research where a triangulation of research methods, data collection tools, and data sources was employed. As part of this approach, two case studies were conducted. Within the case studies, 20 semi-structured interviews were carried out; the outcomes of the interviews were analysed using framework analysis. In addition, a survey took place, and feedback from the survey respondents was analysed using different quantitative statistical methods. Finally, content analysis was relied on to examine all the relevant existing documentations. This research found that information systems success models, already in existence, can facilitate the understanding of implementation success in eHealth. The D&M IS success model, in particular, was chosen and applied. The results of the qualitative and quantitative research showed that the D&M model is suitable to explain and define success in eHealth. In addition to the constructs that define success in eHealth, such achievement is attributed to a number of factors. This research found that eHealth shares a number of success factors with other IS implementation frameworks. At the same time, eHealth success factors that emerged from the case study, like; clinical engagement, the role of eHealth leadership, and clinical champions are discussed. This research led to the exploration of new factors that require a better understanding, such as; the effects of a national eHealth policy, the role of critical champions, and innovative methods of eHealth training. Links between eHealth success definitions, and success factors were investigated, as part of this study. The results of this research revealed statistically significant links between the achievement of organisational goals and user satisfaction, and ultimately, with implementation success. This work has allowed for the development of a potential eHealth specific version of the D&M model as a provisional model to be confirmed with further research. It identified success factors that affect the implementations of eHealth. Some of the factors are eHealth specific, which can also be developed into a provisional model. In addition, this work has resulted in a number of recommendations for implementers and evaluators of eHealth in practice.

Limited research has been conducted on how system administrators actually can affect information systems (IS) after they have been implemented; hence, this study examines how system administrators can affect IS success in an implemented IS. The study identified a system administrator´s affect on the three IS quality dimensions in the DeLone and McLean IS success model. The empirical findings was based on a single case study where the data was collected through interviews with the system administrator and the system assistants, but also through a questionnaire answered by the users of the IS. The empirical findings suggested that the system administrator can affect IS success through the IS quality dimensions both directly and indirectly. The system administrator´s affect on IS success proved to be highly dependent on the external system vendor and the structure of the internal support unit.

<p>In the information systems development process there are important success factors. By doing an extensive literature survey we have found that these factors emerge mainly from organisational issues concerning the objective of the process and the stakeholders.One factor - to discuss the system, its subsystems and to define the system's boundary - is a prerequisite for all the others. Factors emerging from the objective are mainly about the objective being well analysed and defined, being accepted among the stakeholders and meeting business objectives. Factors emerging from stakeholders are mainly about involving the right stakeholders in the process, achieving a positive attitude and taking care of their needs about knowledge and confidence. Based on this we have developed a framework aiming to guide organisations in what considerations they should make before the project begins. As a result of our framework there will be both a clear objective, which support the business mission, as well as positive stakeholders to support the information systems development process.</p>

In the information systems development process there are important success factors. By doing an extensive literature survey we have found that these factors emerge mainly from organisational issues concerning the objective of the process and the stakeholders.One factor - to discuss the system, its subsystems and to define the system's boundary - is a prerequisite for all the others. Factors emerging from the objective are mainly about the objective being well analysed and defined, being accepted among the stakeholders and meeting business objectives. Factors emerging from stakeholders are mainly about involving the right stakeholders in the process, achieving a positive attitude and taking care of their needs about knowledge and confidence. Based on this we have developed a framework aiming to guide organisations in what considerations they should make before the project begins. As a result of our framework there will be both a clear objective, which support the business mission, as well as positive stakeholders to support the information systems development process.

Business intelligence (BI) systems have been widely recognized as a leading technology for many years. However, despite the high priority and importance placed on BI, there has been a significant lack of BI system implementation (BISI) success. BI systems are not considered to be conventional information systems (IS) and often rely on the integration of a complex information infrastructure. Consequently, the degree of information quality (IQ) and system quality (SQ) have not met expectations for BISI success. This study was designed to determine how an organization may gain benefits in the context of BISI by uncovering the antecedents and critical value factors (CVFs) of SQ and IQ necessary to derive greater BISI success. In phase one, a list of BISI SQ and IQ characteristics were collected through literature discovery and an open-ended questionnaire delivered to a group of BI user experts. The collected items were grouped and categorized based on their similarities. In phase two of the study 257 survey responses were collected from BI users to measure the level of importance, i.e. value, they placed on SQ and IQ characteristics. Exploratory factor analysis (EFA) via principal component analysis (PCA) was then used to uncover the CVFs of SQ and IQ that influence BISI success. Two highly reliable CVFs for SQ of BISI with a cumulative variance of nearly 62% and three highly reliable CVFs for IQ of BISI with a cumulative variance of over 75% were subsequently identified. In phase three of the study, an extended conceptual model for IS success was validated to assess the uncovered CVFs of SQ and IQ, as well as their influence on the constructs of perceived SQ of BISI and perceived IQ of BISI. Employing partial least squares (PLS), a subset of structural equation modeling (SEM), the research model was then used to assess the dimensions of perceived SQ of BISI and perceived IQ of BISI as antecedents of the constructs of perceived user systems satisfaction and perceived user information satisfaction from BISI. The crossover effects of perceived user systems and information satisfaction from BISI were also analyzed. The results identified two SQ CVFs of BISI (integration flexibility SQ and reliability SQ) that demonstrated a significant positive impact on perceived SQ for BISI as well as three IQ CVFs of BISI (representation IQ, intrinsic IQ, and accessibility IQ) that had a significant positive impact on perceived IQ of BISI. The constructs of perceived user systems satisfaction and perceived user information satisfaction from BISI had explained variances of R2 = .576 and .589 respectively. Additionally, 12 items of SQ for BISI and 14 items of IQ for BISI were identified as possessing high reliability. This study makes two important contributions to the IS body of knowledge. First, it investigated the universal set of antecedents of SQ and IQ to establish the CVFs of IQ (integration flexibility SQ and reliability SQ) as well as the CVFs of IQ (representation IQ, intrinsic IQ, and accessibility IQ) for BISI success. Second, this study evaluated the crossover effects of system and information satisfaction in BISI success highlighting the importance that BI users place on the need to distinguish between the BI system, the IQ of the output produced, and the influence of IQ on perceived user system satisfaction from BISI. This study benefits stakeholders by focusing on what is important to BISI success and identifies those areas that are most likely to lead to better use of scarce resources while providing the greatest benefits.

Information system is a crucial topic in today’s business world. Without a proper information system, it is very difficult to compete on the market. The purpose of the study was to analyze the impact an information system has on the users work and how those factors are assessing the users’ readiness to change to e.g. switch from an existing information system to a new more advanced one. The study was based on the DeLone and McLean IS success model and a single case study was conducted with an inductive research approach. The empirical data has been gathered through semi-structured interviews and the findings show that reliability, response time and IT service of the IS system are the factors with the most influence on the user’s perceived readiness to change. Moreover, the users are not ready to change the current information system that is running within the company for a more advanced one. Position, technical skills and top management are all impacting the user’s readiness to change. Organizationscan use these findings to analyze the users’ satisfaction, their behavior and readiness to face the future changes.