The purpose of this study was to investigate how public sector workers in Indonesia use e-learning systems and how they can benefit from them. The researchers analyzed five variables that contribute to the effectiveness of e-learning: system reliability, information sharing, service quality, user satisfaction, and net benefit. Structural Equation Model analysis was used to analyze the data collected from 203 respondents who were public sector employees in Indonesia. The findings of this study revealed that information sharing, and service quality significantly impact user satisfaction, which in turn has a significant effect on net benefits. Additionally, system reliability was found to significantly impact user satisfaction. This theoretical implication suggests that there is a direct relationship between the level of information sharing and service quality provided by a public sector organization and the level of user satisfaction experienced by its usage of e-learning. The practical implication of the finding is that public sector organizations must prioritize the reliability of their e-learning systems. This includes investing in regular maintenance and updates, ensuring proper testing and quality control procedures, and addressing any issues or downtime quickly and effectively.

The purpose of this study was to analyze the effect of digital marketing on purchasing decisions, word of mouth on purchasing decisions as well as the effect of service quality on online shop purchasing decisions. The variables studied include digital marketing, word of mouth, service quality and consumer purchasing decisions. The types in this study used quantitative survey research. This study used data collection techniques using online questionnaire methods distributed among online shop consumers. The number of samples in this study were 630 online shop consumers. The research used simple random sampling techniques. Variable measurement used a Likert scale from 1 to 5. The data analysis technique in this study implemented Structural Equation Modeling (SEM) analysis tool. The results of this study indicated that digital marketing had a positive and significant effect on purchasing decisions, Word of mouth had a positive and significant effect on purchasing decisions, and service quality had a positive and significant effect on purchasing decisions.

The purpose of this study is to analyze the relationship between public service and community satisfaction as well as the relationship between e-service quality and community satisfaction in government organizations. The study uses quantitative descriptive research. In addition, the study also collects data to test hypotheses or to answer questions related to the variables to be studied. The study uses a data collection technique questionnaire method which is given to respondents whose contents are in the form of written statements related to the research object, namely public services, e-service quality and community satisfaction. The population studied in this study is the community. The number of samples in this study is 470 people. The study uses a purposive sampling technique. Purposive sampling is a sampling technique with considerations that meet the criteria. The criteria are people who have downloaded and used internet-based service applications provided by the Government. Variable measurement is based on a Likert scale. Each respondent's answer choices are given a score of values arranged in stages based on a Likert Scale arranged as follows: Strongly agree (5), agree (4), Neutral (3), disagree (2) and strongly disagree (1). The data analysis technique in this study uses the Structural Equation Modeling (SEM) analysis tool from the IBM SPSS AMOS 26 statistical software package in the model and hypothesis testing. The stages of structural equation modeling and analysis are divided into seven steps, namely: (1) theoretical model development, (2) compiling a path diagram, (3) converting a path diagram into a structural equation, (4) choosing an input matrix for data analysis, (5) assessing the identification of the model, (6) evaluating the estimation of the model, (7) interpretation of the model. Based on the results of the analysis, the results show that there is a significant positive effect of public service on community satisfaction in government organizations, and there is a significant positive effect of e-service quality on people's satisfaction in government organizations. Government leaders should pay attention to the factors that are considered to influence community satisfaction. Such as paying attention to service procedures for the community, improving procedures for service, including during the process of complaints, criticism and suggestions from the community, then paying attention to the time the service process is carried out, since efficiency in solving community problems also contributes to the comfort or satisfaction felt by the community.

The current mobile network core is built based on a centralized architecture, including the S-GW and P-GW entities to serve as mobility anchors. Nevertheless, this architecture causes non-optimal routing and latency for control messages. In contrast, the fifth generation (5G) network will redesign the network service architecture to improve changeover management and deliver clients a better Quality-of-Experience (QoE). To enhance the design of the existing network, a distributed 5G core architecture is introduced in this study. The control and data planes are distinct, and the core network also combines IP functionality anchored in a multi-session gateway design. We also suggest a control node that will fully implement the control plane and result in a flat network design. Its architecture, therefore, improves data delivery, mobility, and attachment speed. The performance of the proposed architecture is validated by improved NS3 simulation to run several simulations, including attachment and inter- and intra-handover. According to experimental data, the suggested network is superior in terms of initial attachment, network delay, and changeover management.

An increased sense of job performance and better job satisfaction can be achieved by receiving social support. In order to fulfil this purpose, this study aimed to determine the relationship between social support on the one hand and job performance and job satisfaction on the other hand for the Jordanian insurance industry employees. Survey data were gathered from 269 employees from the Jordanian insurance industry. The PLS 3.0 software was used to process data using the structural equation modelling method. The study’s findings revealed that all social support factors were positively and significantly related to job performance and job satisfaction, including manager support, peer support, friends support, and others’ support. Hence, job performance and job satisfaction in the Jordanian insurance industry can be predicted by studying the existence of social support. The study’s findings concluded that the higher the social support, the higher the job performance and job satisfaction.

This study aimed to quantify the relationship between factors influencing the investment outcomes of airport infrastructure development in Vietnam. On that premise, suggesting the ideas for applying information technology systems to maximize resources to improve investment outcomes in Vietnam's airport infrastructure development. Data for the study were gathered from the Airports Corporation of Vietnam's annual report and a survey of 316 officials involved in the investment and development of airport infrastructure in Vietnam. The linear regression model is used to quantify the impact of various factors. According to the research findings, the most influential variable according to the survey subject's opinion is the contractor (NT), with an adjusted beta coefficient value of roughly 0.3915.