International Journal of Computer Information Systems and Industrial Management Applications

This study used a PRISMA guided Systematic Literature Review to synthesize 28 peer-reviewed studies published between 2015 and 2025. The aim was to examine Chinese SMEs’ intention to adopt digitalized e-invoicing in China and closely related, invoice-proximate digitalization. As the literature on Chinese SME’s e-invoicing strategies was found to be scarce, the scope of the study was expanded. The…

The conflict between regional student groups (Organda) between IPMIL Palopo and KEPMI Bone in Makassar City is a social phenomenon that cannot be understood as a single event, but rather as a process formed through a series of repeated and interrelated daily social interactions. This study aims to analyze the causes and escalation processes of the conflict between the two organizations using qual…

Technology brings various changes to human life. The presence of technology is undeniably a means that facilitates the circulation of various products bearing various marks. As one manifestation of intellectual work, a mark plays an important role in facilitating and enhancing trade in goods or services. For consumers, a mark provides a choice among the goods and services needed according to the …

Missed nursing care is an important concern in healthcare because omissions or delays in essential nursing activities may affect patient safety and quality of care. Regarding nursing workload and nurses' ability to perform required care activities, it is known that nursing workload is an important factor that may affect their ability to perform nursing care, but research findings have been incons…

This research aims to analyze the relationship between fiscal efficiency policies and the dynamics of interest contestation in the process political budget in Papua Province Mountains as area new autonomy. In condition capacity Limited fiscal resources and high priority development needs have very negative implications for the acceleration of development. regional progress. This study uses a qual…

Property insurance rating engines encode jurisdiction-specific catastrophe mitigation credits as local configuration, with no machine-resolvable link to the statutory provisions that require them. Practitioner discussion of this problem generally treats inter-state variation as a matter of differing credit percentages, to be handled by parameterising a single rule. We show that this framing is in…

Tourism has emerged as one of the most dynamic sectors contributing to economic growth in many developing economies. This study revisits the tourism-led growth hypothesis in the Philippines by examining the relationship between tourism expenditure and economic growth using annual time-series data from 1980 to 2022. Employing the Autoregressive Distributed Lag (ARDL) bounds testing approach, the s…

PurposeThe enhanced consolidation of cloud accounting models within geographical boundaries of India has established latest standards in financial auditing, reporting, compliance procedures and virtual accessibility. Nonetheless the legal framework in the nation is evolving simultaneously to accentuate audit trails, nationalized storage of data and sovereignity of data. Latest modifications under…

Although iris recognition is widely recognized as a highly dependable biometric modality, conventional systems usually segregate segmentation and classification into distinct steps, which results in error propagation and subpar overall performance. In this paper, we present an end-to-end Transformer-based architecture that simultaneously learns identity categorization and accurate iris segmentati…

The rapid transformation of global business environments driven by digitalization, technological advancement, changing consumer expectations, and competitive market dynamics has significantly altered traditional marketing practices and strategic business operations. Organizations operating in highly dynamic economic ecosystems are increasingly recognizing that conventional marketing frameworks al…

This research presents a novel machine learning Internet of Things (IoT) framework designed for the early prediction of health risks utilizing wearable sensor data. Employed a hybrid methodology combining data collection from diverse wearable devices, preprocessing to ensure high-quality input, and advanced machine learning algorithms for risk assessment. The framework integrates real-time data a…

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, accounting for approximately 17.9 million deaths annually according to the World Health Organization. Early and accurate risk assessment is critical for timely intervention and improved patient outcomes. However, existing machine learning and deep learning approaches face significant limitations including poor modelin…

The fast penetration of renewable energy resources, electric vehicles (EVs), and distributed energy systems has made demand-side management (DSM) in modern smart grids very complex. Traditional DSM methods usually consider load forecasting and scheduling as separate tasks, which results in suboptimal energy consumption, higher operational cost, greater carbon emissions, and lower grid stability u…

Industrial 4.0 is supported by the IIoT, which can enable increased automation, efficiency, and real-time monitoring of industrial control systems. Regardless of these benefits, the rise of connectivity makes the IIoT systems susceptible to some of the greatest cybersecurity threats, which undermine confidentiality, integrity, and availability. This paper presents a ML-based model of cyber risk a…

The increasing deterioration of environmental quality caused by rapid industrialization, urban expansion, intensive agricultural practices, and unsustainable resource utilization has intensified the need for advanced materials capable of addressing complex pollution challenges in both aquatic and atmospheric environments. Conventional remediation technologies frequently encounter limitations such…

With the ever-increasing digital information, there is a high demand for automatic text summarization systems to produce meaningful summaries from longer documents. Despite significant efforts in automatic text summarization for high resource languages like English, research on automatic text summarization in Gujarati is limited because of the lack of linguistic resources, a lack of annotated dat…

The growing penetration of renewable energy resources, electric vehicles (EVs) and distributed energy systems, demand-side management (DSM) in modern smart grids has become increasingly complex. Conventional DSM methods usually show lower predictive capability and ineffective load scheduling in a tight operating environment, which leads to increased operational costs, hindered grid stability. Thi…

In the era of the Internet of Things (IoT), data on people, objects, and the environment flows are ever-increasing; light fidelity technology is one of the most creative but experimental futuristic networking techniques. To enhance the performance of complex narrowband Internet of Things (NB-IoT) systems, a recently developed hybrid network architecture that consists of Wi-Fi and Light Fidelity (…

Structural Health Monitoring (SHM) has evolved from traditional periodic inspection methods to intelligent, data-driven systems powered by artificial intelligence (AI). This systematic review synthesizes recent advances in AI applications for SHM across civil infrastructure including bridges, buildings, tunnels, and dams. A comprehensive literature search covering 2020-2025 across Web of Science,…

In this paper, we investigate the existence and uniqueness of solution of fractional differential equations involving Caputo fractional derivative with nonlocal boundary conditions. The monotone method is constructed using lower and upper solutions. Two monotone sequences are constructed and shown to converge to the minimal and maximal solutions.