This study investigates the role of Xiaohongshu in shaping Chinese international students’ purchase intentions (PI) toward Malaysian traditional food. Drawing on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the research examines the direct effects of information quality, electronic word of mouth (eWOM), perceived usefulness (PU), and perceived enjoyment (PE) on PI, as well as the mediating roles of attitude and trust and the moderating role of food neophobia. A quantitative research design was employed, and data were collected through a structured questionnaire distributed among Chinese international students studying in Malaysia. A total of 380 valid responses were obtained, with established scales adapted from prior research to measure the constructs. The data were analyzed using SPSS, including reliability testing, correlation analysis, regression analysis, and mediation and moderation tests. The results revealed that all four independent variables significantly influenced PI, with both attitude and trust mediating these relationships. Furthermore, food neophobia was found to moderate the effects of attitude and trust on PI, weakening these positive associations among students with higher levels of neophobia. These findings confirm the importance of cognitive and affective factors in food-related consumer behavior within a cross-cultural context. This study extends TAM and TPB by applying them to the context of social media–driven cross-cultural food consumption. It provides theoretical insights into the role of trust, attitude, and individual differences in shaping consumer behavior, while also offering practical recommendations for marketers and cultural promoters seeking to enhance the acceptance of Malaysian traditional food among international students.

Websites have become the digital showcase for companies, organizations, and people in a globalized world. These platforms are essential for communication, e-commerce, education, and entertainment. The objective of this study is to analyze the relationship between the quality of information on websites and user satisfaction in public higher education in Tarma. This is basic research with a quantitative and correlational approach, carried out with a sample of 428 students of the professional careers of Administration, Nursing, and Agroindustrial Engineering enrolled in 2024 at the Universidad Nacional Autónoma Altoandina de Tarma, located in the Department of Junín. The data were processed and modeled using structural equations based on PLS. The results show a Spearman's Rho correlation coefficient of 0.852 and a significance level of 0.000, which shows a high positive correlation between the variables studied. Likewise, the general hypothesis is confirmed, which establishes a significant relationship between usability, information quality, service interaction quality and user satisfaction of the university website.

The website of higher educational institutes is considered a vital communication channel to provide main resources to their stakeholders. It plays an important role in disseminating information about an institute to a variety of visitors at a time. Thus, the quality of an academic website requires special attention to respond to the users’ demands. This study aims to explore the quality of the PSAU website based on data mining techniques. The first step: was collecting opinions about the PSAU website using a survey. After that, data mining processes were used as descriptive and predictive models. The descriptive model was applied to describe and extract the major indicators of website quality. Besides, the predictive model was applied to create models for predicting the website quality level. More than one classification algorithm was used. Naive Bayes and Support Vector Machine have given the best results in all performance indicators, and the achieved accuracy rate for both algorithms was 86% and 84% respectively. The results revealed that the overall quality level of the PSAU website is very good. The usability quality and content quality were very good. The service quality needs more attention. which indicated that the service level is inadequate and needs to be further enhanced. The results of the study should be useful to the deanship of Information Technology at PSAU, and website developers, in redesigning with high quality in terms of its usability, content, and service.

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 disruption caused by the COVID-19 pandemic has an imbalance between demand and supply in Indonesia's manufacturing industry. The products needed to handle the spread of the virus are in high order, and there is even a product shortage. Products that are not required to prevent a pandemic have stagnated so that the manufacturing industry suddenly reduces capacity. Manufacturing companies need to coordinate quickly to be able to adjust the disruption. Manufacturing companies already have an integrated information technology system that has been the primary process in Enterprise Resources Planning (ERP). Manufacturing companies make ERP their primary system, so they need to be updated and adjusted as needed. This study obtains a questionnaire from Indonesia's manufacturing industry using the google form link and distributed through social media WhatsApp, Facebook and Instagram. Data processing was carried out by using the partial least square of 285 manufacturing company respondents. The results showed that ERP sustainability was able to influence supply chain integration (internal and external). External integration has an impact on information quality, while internal integration does not affect. Supply chain integration and information quality affect increasing firm performance. Research makes a practical contribution to the industry in optimizing ERP systems in Pandemic conditions and a theoretical contribution to ERP sustainability as a mainstay in supply chain integration.

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.

This study provides an analytical view of the correlation between several factors that influence the credibility of information available through various sources on the Internet. The most critical factors include information quality, source credibility, argument strength, message credibility, and average credibility. Additionally, the study explores the impact of gender and years of experience as demographic variables on the nature and size of these relationships. The study relied on a critical review of previous related literature. In addition, it adopted an analytical approach using a sample of 300 Internet users through a questionnaire designed based on the study hypotheses. Most of these relationships were found to be at an average level, except for the relationship between source credibility and information credibility. No statistical indicators were observed. Consequently, the researchers acknowledge the need for caution when generalizing these results to society. The study also found that the gender of the recipient and the number of years of experience did not necessarily play a mediating role in the relationship between the tested factors and the credibility of information received via the Internet.

This research aims to analyze variable service quality on e-government user satisfaction and analyze information quality variables on e-government user satisfaction at the immigration office. The research method used in this research is associative quantitative research which aims to determine the relationship between two or more variables. In this way, we can build a theory that functions to predict and control a phenomenon. The population in this study were all immigration office employees. In this research, an analysis model is used, namely Partial Least Square-Structural Equation Modeling (PLS-SEM). In this study, the number of respondents was 876 immigration office employees who used e-government. The sampling technique used in this research is non probability sampling. In this research, the data collection method used was the questionnaire method. The instrument used to measure this research variable is a 7-point Likert scale. Data processing in this research uses SmartPLS software. The stages of data analysis in this research are the outer model test which includes convergent validity, discriminant validity and composite reliability as well as inner model analysis, namely hypothesis testing. The results of this research are that variable service quality has a positive and significant relationship to e-government user satisfaction at the immigration office and the information quality variable has a positive and significant relationship to e-government user satisfaction at the immigration office.

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.