Predicting corporate bankruptcy accurately is crucial for reducing financial risks and protecting stakeholders. Logistic Regression (LR) has long been valued for its interpretability, while Artificial Neural Networks (ANNs) have gained prominence for capturing complex, nonlinear financial relationships. This study synthesizes comparative evidence to assess their relative strengths and limitations. A systematic review of peer-reviewed studies published between 2018 and 2024 was conducted using Scopus, Web of Science, and IEEE Xplore. Studies were included if they directly compared ANNs and LR in bankruptcy prediction, reporting performance metrics such as accuracy, recall, and handling of class imbalance. Attention was also given to the application of visualization and interpretability tools. The findings indicate that ANNs generally outperform LR in predictive performance, with accuracy reaching up to 96% and recall above 95%, especially when advanced preprocessing techniques such as the Synthetic Minority Oversampling Technique (SMOTE) and feature selection are applied. ANNs are particularly effective in modelling nonlinear and high-dimensional data but face challenges related to overfitting, computational demand, and lack of transparency. LR, though often less accurate, remains robust for its statistical rigor, ease of implementation, and interpretability. In certain contexts, LR has also demonstrated higher precision, showing that performance may vary depending on the characteristics and quality of the underlying data. Overall, ANNs are preferable in complex, data-rich environments, while LR is more suitable where transparency and regulatory compliance are critical. Future research should explore hybrid models that integrate ANN’s predictive power with LR’s explainability, supported by explainable AI and real-time decision-support tools.

This study uses the O*NET job analysis questionnaire to investigate the work skills and work styles required for volunteer Chinese language teachers in secondary schools in Thailand. The analysis results of 265 subjects show that: (1) The important work skills of volunteer Chinese language teachers in secondary schools in Thailand include digital technology operation ability, digital teaching problem-solving ability, digital teaching strategy thinking ability, digital teaching guidance and evaluation ability, and digital teaching integration and application ability, and (2) The important work styles of volunteer Chinese language teachers in secondary schools in Thailand are basic professional characteristics and teacher social cognitive style.

Information Systems (IS) effectiveness has emerged as a critical research area in the face of rapid digital transformation and the increasing reliance on technology across various sectors. Despite the field’s maturity, theoretical development and research focus remain fragmented, necessitating a comprehensive synthesis of its evolution. This study presents a bibliometric analysis titled “Click, Measure, Succeed: A Bibliometric Journey of Theoretical Contributions and Research Gaps in Information Systems Effectiveness” to uncover historical trends, influential works, key contributors, and potential research gaps. The problem underpinning this research lies in the limited understanding of how theoretical contributions—particularly the DeLone and McLean Information Systems Success Model (D&M ISSM), the Technology Acceptance Model (TAM), and the Task-Technology Fit (TTF) model have shaped and evolved within the IS effectiveness domain over time. To address this, bibliographic data were extracted from the Scopus database using defined keywords, yielding a refined dataset of 1,121 publications spanning from 1975 to 2025. The data were cleaned and standardized using OpenRefine, analyzed quantitatively via Scopus Analyzer, and visualized through VOSviewer version 1.6.20, enabling the mapping of co-authorship, keyword co-occurrence, and citation networks. Key findings reveal a notable publication surge after 2020, with the United States, Indonesia, and Malaysia leading in output. Seminal works by DeLone and McLean dominate citation metrics, underscoring the enduring influence of the D&M ISSM. In contrast, research grounded in TAM and TTF increasingly highlights user acceptance and alignment between tasks and technology as critical factors in the success of IS. Keyword clustering reveals four thematic concentrations: system quality, service performance, user satisfaction, and digital transformation. Despite growing interest, collaboration among countries remains limited, and theoretical diversification is still narrow. This study contributes to academic discourse by mapping the intellectual structure of IS effectiveness research and identifying gaps that warrant further exploration, particularly in emerging economies and across disciplinary boundaries. By consolidating fragmented knowledge, this research aids scholars in navigating past contributions while paving strategic directions for future inquiry into IS effectiveness.

The Incremental Dynamic Analysis (IDA) method has been widely applied in structural design and assessment due to its ability to accurately predict structural failure or collapse probabilities. Extensive research has explored its application in optimizing structural design schemes. However, conventional IDA approaches often overlook several critical factors, such as the diversity of earthquake intensity measures, the existence of multiple failure modes, and regional variations in seismic risk—particularly in the context of seismically isolated structures. Moreover, the integration of IDA with Geographic Information Systems (GIS) and the use of Artificial Neural Networks (ANNs) to improve computational efficiency remain underexplored. This article reviews recent studies on the application of IDA that consider multiple influencing factors, the integration of GIS with IDA, and ANN-based enhancements of IDA methodologies. Additionally, it identifies key research gaps in the application of IDA to seismically isolated structures, offering guidance for future investigations.

Ongoing training and management of staff development is essential to maintaining a competitive edge in the work environment. It can also increase the efficiency and job satisfaction of staff. The Training & Continuous Education Unit is under the academic support division responsible for organizing In-Service Courses, planning and managing Lifelong Learning programs, and managing management facilities at ULPL. The development of this training and staff development information website was developed to help provide comprehensive and organized information covering training management, facilities, and services provided. The objective of this research is to identify the level of effectiveness of the ULPL@POLINILAI website through the perception of usefulness and the perception of ease of use of the website. This study is based on primary sources and uses a purposive sampling technique that focuses on ULPL service users from November 2023 to March 2024. The results of the study are analyzed using Statistical Packages for The Social Sciences 25.0 software to meet the objectives of the study. Findings show the effectiveness of the website through the perception of usefulness and the perception of convenience at a high level. It found the ULPL@POLINILAI website effective for internal and external course management, PSH management, and facility management. It is also in line with current technological advances with the website being easier in the accessibility of information to staff.

The aim of this research is to find out how SIMPEG and human resource competence can provide quality promotion services so that they can provide satisfaction to system users. This research is a quantitative study with a population of 109 which is a combination of employees from the Health Service and the East Luwu Regency Education Service, where the sample was determined using saturated sampling where the entire population was sampled. Data collection uses a questionnaire that has been tested using validity and reliability tests. The data that has been collected will be subjected to descriptive and verification tests using the SmartPLS statistical tool. SIMPEG has a direct positive and significant effect on the quality of promotion services but is not significant on user satisfaction, while the quality of promotion services is able to mediate the relationship between SIMPEG and user satisfaction. Human resource competency has a positive and significant effect on the quality of promotion services and user satisfaction. Service quality has also been proven to be able to mediate the relationship between competency and user satisfaction. The conclusion of this research is that the important role of the use of information systems, in this case SIMPEG, is considered capable of providing satisfaction with promotion services for employees, especially for employees of the Health Service and Education Service. Increasing human resource competency is important in providing promotion services to employees in the Health Service and Education Service so that it can increase employee 3nd system user satisfaction.

This study explored the ethical challenges posed by the application of Artificial Intelligence (AI) technology in the field of art and design. With the rapid development of AI technology, it had a profound impact on the art and design industry but had also raised a range of moral and ethical issues including personal privacy, data security, attribution of responsibility, prejudice and discrimination, employment issues, economic inequality, ethical principles and values, disinformation and manipulation. This study aimed to identify and understand the ethical challenges that may be encountered when AI technologies were applied in art and design, including the impacts on attribution of artistic creations, copyrights, cultural diversity, and personal privacy, and to propose solutions and strategies. Through quantitative research on art and design students in Sichuan, China, the results showed that students generally expressed concerns about the ethical risks of AI application in art and design. This study emphasised the need for art and design education to pay attention to the ethical issues posed by AI, and to train students as both technology users and moral guardians, promoting innovation while safeguarding ethics and social responsibility.

Waste management struggles with the segregation of biodegradable and non-biodegradable waste due to improper disposal, leading to contamination and reduced recyclable material quality. This study addresses these challenges by developing a machine learning-based waste classification system. Utilizing image classification techniques, specifically the VGG-16 Convolutional Neural Network (CNN) model, the system categorizes waste into biodegradable and non-biodegradable using a dataset from an open-source website. The methodology includes eight phases: preliminary study, knowledge and data acquisition, data pre-processing, model design, development, testing, and evaluation. A prototype using Maker Uno and a servo motor physically demonstrates waste classification. Despite challenges like limited high-quality components, this study aims to enhance recycling efficiency and sustainability by using VGG-16 with different epochs and shows the prototype's effective functionality, offering a promising solution for improving waste segregation and management.

Virtual Reality (VR) technology has emerged as one of the most transformative and promising innovations in contemporary education. VR refers to a sophisticated technology that generates artificial environments, offering users an immersive experience that simulates presence within a digitally constructed, three-dimensional world. Using devices such as VR headsets, students are able to engage with these virtual environments in a manner that replicates real-world interactions, thereby providing access to experiences that would otherwise be difficult or impossible to attain in reality. This study seeks to investigate the utilization and acceptance of Virtual Reality (VR) technology among teachers and students in schools across the state of Perlis. In the context of a rapidly advancing digital era, VR offers unprecedented opportunities for education by facilitating interactive, immersive learning experiences. However, the extent of readiness and acceptance of this innovative technology among teachers and students in Perlis remains uncertain. Employing a quantitative research methodology, this study gathered data through the administration of structured questionnaires. The results indicate that both students and teachers exhibit a strong interest in integrating VR technology into the educational landscape. The respondents demonstrate a foundational understanding of VR and express confidence that its application in schools can significantly enhance learning outcomes. Despite the widespread enthusiasm for incorporating VR into teaching and learning processes, several critical challenges must be addressed to facilitate its adoption. These challenges include inadequate access to necessary equipment, insufficient training, and a lack of robust infrastructure support. This study offers a set of strategic recommendations aimed at overcoming these obstacles and fostering the broader acceptance and implementation of VR technology in the schools of Perlis.

Electronic payments, also known as cashless transactions, offer numerous advantages over traditional cash transactions, such as eliminating the need for change, reducing the risk of theft, and enhancing convenience. Many retailers have embraced electronic payment methods, including QR pay, credit or debit cards, and e-wallets, as viable alternatives for customers. Despite the availability of these options, there remains a reluctance among university students and staff to fully adopt cashless payment methods. In addition, issues such as concerns over privacy and data security, a lack of trust in the reliability of digital payment platforms, and inadequate awareness of how these systems function contribute to this hesitation. Thus, this study aims to explore the underlying reasons for this hesitation. Findings reveal that attitudes, knowledge levels, and willingness to embrace cashless transactions are key factors influencing this hesitancy. Accordingly, it is crucial for university administrations to implement appropriate digital policies to facilitate the transition towards a fully cashless and digitally integrated campus environment.