Bali's culture is synonymous with its inhabitants' practice of celebrating religious holidays. Hindu women in Bali often purchase ritual equipment. This research aims to identify the determinants of impulsive buying among Hindu women in the retail industry, as well as the impact of Customer Relationship Management (CRM) on managing this behavior. The research method used is quantitative, with a sample size of 250 respondents analyzed using Smart PLS. The results show that the hedonic shopping value has a favorable and substantial influence on impulsive purchasing, as does the desire to buy impulsively. Self-control has the potential to adversely moderate the effect of the desire to acquire on impulsive purchasing. Hedonic shopping value is important to consider, thus marketing programs should accommodate the hedonic shopping value that Hindu women in Bali seek when shopping for Galungan (yadnya) preparations.

Digital entrepreneurship can be a potential alternative solution for addressing challenges faced by young people and future workers in Asia. Additional studies are required to enhance comprehension of digital entrepreneurship given the insufficiency of research conducted in this domain. This research seeks to uncover possible determinants that could impact the desire to engage in digital entrepreneurship, with a specific focus on personal traits, resilience, and the level of educational services. The participants in this study are university students as they represent the potential future workforce and potential digital entrepreneurs. A total of 517 sample data (212 Malaysian, 305 Indonesian) were collected through online surveys towards students in Malaysia and Indonesia. The study used a brief version of The Big Five Personality Traits, CD-RISC resilience scale, Liñán & Chen entrepreneurship intention scale, and Parasuraman, Zheitaml, Berry SERVQUAL to gather data. To analyze the data, the study employed structural equation modeling. The results suggest that the intention to pursue digital entrepreneurship is affected by both an individual's openness to experience and their resilience. Additionally, the study revealed that service quality is a factor that affects both digital entrepreneurship intention and resilience. This study provides new understanding of digital entrepreneurship intention antecedents and implies that improvement on education quality service can foster student’s intention to digital entrepreneurship and their resilience.

Repurchasing in the future reflects the success of a business that can build customer loyalty, which happens because the company can meet the needs and expectations of consumers. The dynamics of changes in consumer behavior in choosing products encourage companies to be able to provide satisfying products. Satisfied consumers will feel a bond with the product. Purpose of the study is to examine Self-Brand Connection (SBC) as a mediating variable between customer satisfaction on repurchase intention and the role of love mark in moderating SBC for intention to repurchase. The sample used in the study was 210 and analysed quantitatively via SmartPLS3. The study found that customer satisfaction affects repurchase intentions. Customer satisfaction positively affects self-brand connection. The SBC affects repurchase intention. Love for culinary brands cannot moderate self-brand connection on repurchase intention. Brand respect can moderate SBC on repurchase intention.

The aim of this study was to analyse the bibliographic characteristics and content of articles on Data Visualization published in journals indexed by Scopus written by researchers from throughout the world. We conducted a bibliometric and content analysis of publication in the Scopus database. We only retrieved articles written in English. We conducted content analysis using the VOSviewer software and visualized the co-occurrence of keywords and bibliographic coupling of sources and countries. Following the study protocol, we found 862 articles on Data Visualization over the past 30 years. The most productive journal that published these articles was Lecture Notes In Computer Science (n=32). The most productive country was the United States (n=305). Based on citations, the most influential authors, and journals were Thorvaldsdóttir et al., (2013) [Thorvaldsdóttir, H., Robinson, J. T., & Mesirov, J. P. (2013). Integrative Genomics Viewer (IGV): High-performance genomics data visualization and exploration. Briefings in Bioinformatics, 14(2), 178–192.] (n=4699), and IEE Transactions on Visualization and Computer Graphics (n=656). The keywords of research on Data Visualization formed 7 clusters (e.g. Data Visualization, Visualization, and Human). From a global perspective, Data Visualization research in the past 30 years has increased significantly. There were European published journals nominated publications. Thus, Asian countries need to conduct more active research on this topic.

The advent of information technology has caused people to consider how they can make effective and efficient decisions in various activities. The implementation of information technology systems is expected to be advantageous in facilitating these activities because such systems can provide decision-making support and contribute to the success of endeavors in areas such as business, economic, social politics, and education. One common tool used in learning systems is e-learning applications. This research aims to analyze the effect of e-learning on user loyalty with user satisfaction. This research, conducted in Jakarta, is explanatory in nature, targeting individuals who have utilized e-learning applications in their activities, particularly in the field of public sector activities, with a sample size of 163 public sector employees. Data was collected through online questionnaires, and hypothesis testing was conducted through the PLS-SEM method. The results indicate that service quality and perceived value have positive impacts on user satisfaction, which in turn, positively influences user loyalty.

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.

Turning the attention towards a net performance of the Indonesian oil and gas industry is important. Inconsistent performance of the oil and gas industry has shown the negative consequence for the nation’s economy. However, up to some extent, the issues can be resolved through green supply chain integration. Therefore, the ultimate purpose of this study is to investigate the role of green supply chain integration on the sustainable performance of the oil and gas industry of Indonesia. To collect the data, a survey questionnaire was used, and questionnaires were distributed among the employees of oil and gas companies in Indonesia. From total three hundred (300) distributed questionnaires, two hundred and one (201) were returned and used to analyze the data through Smart PLS 3. Findings reveal that green supply chain activities had a positive contribution in sustainable performance among oil and gas companies. Supplier integration, customer integration and technological integration had a substantial impact on economic sustainable performance and environmentally sustainable performance. Thus, the Indonesian oil and gas companies are recommended to use green supply chain activities to enhance performance.