This research investigates the corporate environmental performance (CEP) literature toward its financial performance of the firm. CEP is defined as the exercise and practices of companies to choose sensible measures to save and develop environment-fr...
Under the environment of a green economy, green innovation serves as the only way for enterprises to grow, upgrade their competitiveness and seek continued business. Based on a questionnaire survey of 212 enterprises established within 4 years in the...
This study examines the role of financial awareness (FA), financial capability (FC), and their influence on risky financial behaviors—risky paying behavior (RPB), risky borrowing behavior (RBB), and financial goals (FGs)—among agro-indust...
The rapid advancement of artificial intelligence (AI) offers significant opportunities for innovation, yet its benefits remain unequally distributed, with digitally marginalized groups often left behind. Based on the attention-based view and dynamic...
In the aftermath of the COVID-19 pandemic, college students have faced various challenges that could negatively impact their critical thinking abilities due to disruptions to education, increased stress and anxiety, less social interaction, and the a...
This paper presents a capability-aware frequency control strategy for microgrids comprising a ramp-rate-limited synchronous generator (SG) and a bounded inverter-based resource (IBR). In contrast to conventional droop and virtual inertia methods, the...
Mobile crowd computing (MCdC) leverages the collective computational resources of nearby mobile devices to execute complex tasks without relying on remote cloud infrastructure. However, existing MCdC systems struggle with device heterogeneity and com...
Humanoid robots are emerging as flexible robotic resources for autonomous manufacturing systems, where different types of tasks must be assigned to suitable robots while shared production resources are coordinated effectively. However, realistic manu...
This study aims to investigate the effect of metaphorical content on e-participation in healthcare. With this objective, the study assesses the awareness and capability of e-participants to navigate through healthcare metaphors during their participa...
With the signing and implementation of the Paris Agreement, low-carbon models have become the general trend for future development. In this context, many countries have successively introduced relevant low-carbon systems within their companies. These...
This article presents a comprehensive rapid review of the current disaster risk reduction (DRR) efforts in Saudi Arabia, a country exposed to a variety of hazards such as extreme heat, droughts, floods, dust, and sandstorms, along with threats from t...
Spatial decision-making in different virtual environments may vary based on the levels of spatial awareness experienced within Virtual Reality (VR) systems. Features and characteristics of VR systems may act as facilitators or distractors of spatial...
The participation of users within AAL environments is increasing thanks to the capabilities of the current wearable devices. Furthermore, the significance of considering user’s preferences, context conditions and device’s capabilities help smart envi...
Artificial intelligence (AI) adoption in higher education increasingly represents a challenge in workforce development and organizational transformation, rather than a purely technological issue. This study re-analyzed survey data from 311 faculty me...
Enterprise green innovation (EGI) has become an essential measure for manufacturing enterprises to achieve sustainable development, and the application of artificial intelligence (AI) may become a new driving solution. This study empirically analyzes...
Currently, abnormality detection and/or prediction is a very hot topic. In this paper, we addressed it in the frame of activity monitoring of a human in bed. This paper presents a comprehensive formulation of a requirements engineering dossier for a...
Generative artificial intelligence (GenAI) is rapidly transforming teaching, learning, research, and institutional practices in higher education, increasing the need to understand how university professionals engage with AI technologies in both funct...
This study investigates the relationship between the dynamic capabilities of university administration and students’ awareness of artificial intelligence (AI) tools within a higher education context. Drawing on data from 139 students at the Col...
Since cyberspace was identified as a domain of operations, defence practitioners started a race with academy, researchers, and industry and military organizations working together towards defining related lines of capability development (e.g., DOTMLP...
This paper studies deadline-guided formation tracking for fixed-wing unmanned aerial vehicles subject to nonholonomic coupling, input saturation, and time-varying uncertainties. The central difficulty is that the mission layer prescribes a nominal de...
Autonomous production needs to be reliable. Outputs from reliable production systems consistently conform to performance requirements. By contrast, outputs from unreliable production systems often do not conform to performance requirements. Unreliabl...
This paper presents an innovative approach for predicting timing errors tailored to near-/sub-threshold operations, addressing the energy-efficient requirements of digital circuits in applications, such as IoT devices and wearables. The method involv...
In the context of China’s “dual carbon” strategy, building materials enterprises (BMEs) are in a critical period of digital and green transformation. Their diverse ownership structure and complex industrial types make them important...
Professional translators may resist highly directive AI assistance when it threatens perceived autonomy, authorship, and control. This study introduces the Recursive Control and Alignment Protocol (ReCAP), a reactance-aware framework for interactive...
Contemporary stakeholders persist in pressuring firms toward environmental stewardship, while dynamic organizations demonstrate high-level capability and strategically respond to market evolution and align operations toward sustainability. This study...
The complex workflows and interactions between heterogeneous entities in Cyber-Physical Production Systems (CPPS) call for the use of context-aware computing technology to operate effectively and meet the order requirements in a timely manner. In add...
With the widespread use of over-the-top (OTT) media, such as YouTube and Netflix, network markets are changing and innovating rapidly, making it essential for network providers to quickly and efficiently analyze OTT traffic with respect to pricing pl...
This article presents a quantitative approach of a systematic literature review, namely a meta-analysis, using 19 technology-based phonological awareness interventions carried out over the last decade, aiming at technology-mediated reading acquisitio...
Historically, the utilization of context, the range and scope of context-aware systems, and the levels of computational intelligence in such systems have been very limited. While the inherent complexity is a significant factor, a principal reason for...
Collaborative flight formations represent a promising operational model, but the integration of multi-source information in manned interfaces often results in cognitive overload and reduced situation awareness. This study evaluates the effectiveness...
Situation awareness (SA) is crucial for safe driving. It is all about perception, comprehension of current situations and projection of the future status. It is demanding for drivers to constantly maintain SA by checking for potential hazards while p...
Background: Ethical challenges in public procurement are often addressed through compliance approaches that stress rule awareness. These perspectives, however, offer limited insight into how ethical intentions form before professional practice. This...
Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic. Using context-aware computing, navigation services consider the situation of user, not only in the design process, but in...
To shift the paradigm towards Industry 4.0, maritime domain aims to utilize shared situational awareness (SSA) amongst vessels. SSA entails sharing various heterogeneous information, depending on the context and use case at hand, and no single wirele...
Aiming at the requirement of space situational awareness on the full-domain and all-time coverage capability of low Earth orbit space targets and focusing on the design of a space-based space target awareness system, a space target awareness constell...
The Web of Data has been fueled significantly by geospatial data over the last few years. In the current link discovery frameworks, there is still a lack of robust support for finding geospatial-aware links between geospatial data sources in the Web...
Frequent grassland fires have severely affected regional ecosystems as well as the production and living conditions of local residents. Grassland fire prevention capabilities constitute an integral part of the disaster prevention and mitigation syste...
In this research, we present the Spatial-Aware Transformer (SAT), an enhanced implementation of the Swin Transformer module, purposed to augment the global modeling capabilities of existing transformer segmentation mechanisms within remote sensing. T...
As the scale and complexity of sports stadium construction projects around the world continue to grow, the safety risks faced by workers are becoming increasingly severe. In particular, the emergency response capabilities of workers have become a key...
AI-based internet of things (IoT) systems increasingly require upstream decision-making mechanisms to identify emerging technologies that may shape future sensing–memory–communication–computation capabilities (SMCC). However, early...
Due to the increasing pressures on the environment derived from the intensive use of energy, policy-makers are increasingly aware of the need to design new energy policies capable of addressing those negative impacts on the environment [...]
In this paper, we discuss the implementation of artificial self-awareness mechanisms and self-reflection abilities in deep neural networks. While the current limitations of research prevent achieving cognitive capabilities on par with natural biologi...
The Internet of Things (IoT) is rapidly advancing toward increased autonomy; however, the inherent dynamism, environmental uncertainty, device heterogeneity, and diverse data modalities pose serious challenges to its reliability and security. This pa...
Agricultural green innovation has become a key driver of China’s agricultural development in the modern era. Maintaining a strong symbiotic relationship is crucial for enhancing awareness and resource allocation capabilities related to green te...
As artificial intelligence (AI) increasingly reshapes how organizations operate, innovate, and compete, employees face increasing pressure to adapt to rapidly evolving digital work environments. However, whether employees translate AI-related awarene...
Four-wheel electromechanical braking (EMB) systems may receive nominal brake torque commands that exceed transient actuator capability under low-voltage supply or degradation. This study proposes a brake torque allocation method based on wheel-end dy...
Data protection laws have spread quickly across developing countries, but enactment has often run ahead of citizens’ awareness and of the capacity to turn statutory rights into practical protection. This study examines that gap in Zimbabwe, who...
The integration of space–air–ground–sea networking in 6G, which is expected to not only achieve seamless coverage but also offer service-aware access and transmission, has introduced many new challenges for current mobile communicat...
In order to improve the precipitation forecast of the next-generation Global Prediction System with the Finite-Volume Cubed-Sphere Dynamical Core in Taiwan’s Central Weather Bureau, this study modified the convective processes in the New Simpli...
Multi-robot missions are a challenge for operators in terms of workload and situational awareness. These operators have to receive data from the robots, extract information, understand the situation properly, make decisions, generate the adequate com...
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