This paper examined the impact of Business Intelligence Systems (BIS) on decision-making quality among top-level management in the Jordanian banking sector, with Artificial Intelligence Capability as a moderating variable, to enhance understanding of the link between business intelligence and decision-making quality. A questionnaire was used to gather data from 297 employees of Jordanian Commercial Banks. The research hypotheses were developed and tested using partial least squares structural equation modeling (PLS-SEM). The results revealed a positive relationship between system quality, data quality, and decision-making quality, with service quality showing a particularly strong impact. Effective system quality techniques were found to enhance decision-making quality, underscoring the importance of BI resource management. The findings also indicated a significant effect of data quality on strategic decision-making quality, while data visualization did not show a statistically significant impact. Furthermore, the results confirmed the moderating role of Artificial Intelligence Capability in the relationships between system quality, data quality, data visualization, and decision-making quality. Overall, the findings of this study contribute valuable insights to the literature on business intelligence and strategic decision-making.

This study extends the Dellon-McLean model by including training quality as a key factor in the success of Management Information Systems (MIS) in the banking sector of Saudi Arabia. The aim of the study is to investigate the relationship between quality of information, systems quality, training quality and organizational performance. A structured questionnaire was used to collect data from employees in the banking sector. The results show a significant positive relationship between information quality, system quality, training quality, and organizational performance. Training quality emerged as the most important determinant of organizational performance. The findings suggest that organizations should invest in improving training quality to improve their MIS and improve overall organizational outcomes. This information helps to understand the factors affecting MIS success and provides useful implications for organizations seeking to optimize their information systems.

This research investigates the links between information quality, service quality, system quality, and supply chain performance in Saudi Arabia's manufacturing sector. The goal is to provide insights into the elements that impact supply chain outcomes and to identify critical performance drivers. Data was acquired from a sample of manufacturing organizations, and the correlations were analyzed using a structural equation modeling technique. Information quality, service quality, and supply chain performance are all shown to have substantial positive correlations. Higher levels of information quality and service quality relate to enhanced supply chain performance in the manufacturing sector. However, system quality was shown to have a comparatively smaller influence on supply chain performance, suggesting that investments in information management systems and service delivery methods may offer higher returns. The reliability and validity of the measuring scales employed in this research were evaluated and determined to be strong, assuring the precision and consistency of the findings. These results add to the current research by identifying the unique elements that influence supply chain performance in Saudi Arabia's manufacturing sector. The study has many implications for practitioners in the manufacturing sector as it discusses the significance of investing in information management systems, providing high-quality services, and continually evaluating and improving supply chain performance. Organizations may improve their competitiveness and create better supply chain results by concentrating on these areas. Additional elements and possible moderating or mediating variables may be investigated in future studies to acquire a better knowledge of the dynamics that impact supply chain performance. Overall, this research offers significant insights for practitioners and decision-makers in the manufacturing industry, directing them towards more appropriate methods to maximize supply chain performance and achieve long-term success.

This paper examined how information quality within project management information systems is being improved through the use of blockchain technology. A conceptual framework was developed based on past findings and relevant theories. User satisfaction determinants affecting blockchain adoption success in Jordan were examined in this paper. A cross-sectional design and Random sampling technique were employed. Data collection involved the use of questionnaires. Data obtained from 393 responses were analyzed using AMOS software. The findings showed a significant impact of system quality, information quality, ease of use on user satisfaction, whereas service quality did not show a similar impact. Also, ease of use impacted blockchain adoption success, but user satisfaction did not. In addition, user satisfaction did not mediate the relationship between ease of use and Blockchain adoption success. Results had implications on blockchain use in Jordan. Several recommendations were proposed for forthcoming scholarly works and blockchain actual adoption, in Jordan especially.

The aim of this paper is to examine one of the most crucial factors in the “Technology Acceptance Model” proposed by Davis (perceived usefulness) in moderating the “DeLone and McLean” success model in the context of educational portal in Higher Education. Questionnaires were distributed online to 200 respondents and deserved to be analyzed. The respondents were regular students at the University of Bengkulu. Data analysis used Smart-PLS version 3.2.9. The research findings indicated an influence of “system quality, information quality, and service quality partially on user satisfaction” of the educational portal information systems. The result shows that perceived usefulness can strengthen the relationship between system quality, information quality, and service quality to the satisfaction of customer. This research contributes to the development of perceived usefulness variable as a moderating variable affecting the quality of a system, quality of information, and quality of service partially on user satisfaction and finding strategies needed by the University of Bengkulu effective and efficient information system.

SISKEUDES is a financial system used by the village government aimed at improving accountability, creating common perceptions in the delivery and application of various laws and regulations in the form of village financial management systems and procedures. Implementation of SISKEUDES helps us improve good corporate governance of village government in Indonesia. However, in the Village Assistance Report in Badung Regency in 2018 and 2019, there were input errors from planning, budgeting, administration and financial reporting. Based on this phenomenon, this study tested the predictor of successful application of the system. The measurement of SISKEUDES success is based on DeLone and McLean information system success model. This study examines the direct effect of system quality, information quality, service quality and quality of human resource on use, user satisfaction and net benefits. The sample determination technique uses purposive sampling with criteria of all SISKEUDES users in Badung Regency Village Government with a minimum of 1 year working experience. Data analysis uses Partial Least Square with SmartPLS 3. The results show that only system quality, information quality, and service quality have positive effects on user satisfaction, while the quality of human resources has no effect on user satisfaction. The quality of information, the quality of service, and the quality of human resources have positive effects on the use, while the quality of the system has no effect on the use. The quality of information, service quality, use and user satisfaction have positive effects on net benefits.

The study investigates the effects of system quality and service quality on e-filing user satisfaction as well as the effect of information quality on e-filing user satisfaction through quantitative research. The variables in this study consist of the dependent variable, namely e-filing user satisfaction, while the independent variables are system quality, information quality, and service quality. The population in this study is the taxpayer. The sample in this study includes 340 taxpayer respondents in Indonesia who were calculated using the Slovin formula, with the research instrument in the form of a questionnaire measured using a Likert scale 1 to 7. The sample collection technique in this study uses the incidental sampling method, with the research instrument using an online questionnaire distributed via social media. The sample collection method in this study used incidental sampling. The data analysis technique in this study used structural equation modeling (SEM) with SmartPLS 3.0 software tools. The results of this study indicate that system quality has a positive effect on e-filing user satisfaction. Information quality also has a positive effect on e-filing user satisfaction. Finally, service quality has a positive effect on e-filing user satisfaction.

In keeping abreast with the digitized and automated world today, governments of developing and developed nations must provide appropriate e-government services to assure confidence and effective and efficient usage among their citizens. The quality, security, and privacy of current e-government implementation have been impairing the trust and participation of users, in Jordan especially. Hence, this study examined the impacts of quality, security and privacy of e-government services on the intention to use e-government services among Jordanian citizens. Questionnaires were used to gather data, and questionnaire items covered the constructs of quality factors (information quality, system quality, and service quality), perceived security, and perceived privacy as independent variables, and the constructs of trust and intention to use as dependent variables. The study samples comprised academics in Jordanian public universities. The universities were selected using stratified sampling method, while the respondents were chosen using simple random sampling method - 212 respondents were selected. SPSS Version 18 and PLS Version 3.3.6 were used in data analyses and hypotheses testing. Results affirmed a positive and significant link between information quality, system quality, service quality, perceived security, perceived privacy and trust in e-government services, and a positive and significant link between trust in e-government services on intention to use. In e-government services implementation, Jordanian government should take into account the quality factors (information quality, system quality, and service quality), perceived privacy, and perceived security, to increase trust of the citizens and consequently their intention to use the e-government services.

The effect of contextual factors namely information quality, service quality, system quality, Technological readiness, trust in applications (app) and COVID-19 health anxiety, on the intention and consequently the actual use of Mobile Payment (MP) app was examined in this study. Trust, as mediator to the relationship between technological readiness and intention to use MB-app was examined also. Data were obtained from 740 Jordanian Mobile Banking (MB) app users through an online survey. The relationship between service quality, system quality, information quality, trust in the app, COVID-19 health anxiety, Technological readiness and the intentions to use MB-app and the actual use of MB-app was empirically examined. The results showed a positive relationship between service quality, system quality, information quality, trust in the app and COVID-19 health anxiety, and the intentions to use MB-app, and in turn he actual use of MB-app, and a positive mediation of trust on the relationship between COVID-19 health anxiety and the intentions to use MB-app.

This study aims to determine and analyze the influence of private university digital leadership and information system success models (system quality, information quality, service quality) on the satisfaction of e-learning users of agricultural students. This research method is a quantitative survey, and the number of research samples is 323 agricultural students who were selected by a random sampling system. The sampling technique used is simple random sampling. The analytical method used is SEM with the help of SmartPLS 3.0 software. The results show that the role of digital leadership had a significant positive effect on the three variables of the information system success model. Likewise, system quality, information quality, and service quality have a significant positive and significant effect on user satisfaction of e-learning systems. This finding can increase the exploration ability of agricultural students as users to obtain various agricultural information. This finding confirms previous studies which state that usage has a significant effect on user satisfaction. Suggestions for further research, in this study only involves a single student perspective. Future research is recommended to use the perspective of the organization/institution (e-learning system management unit), lecturers, and university employees and agricultural stakeholders.