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The Influence of the Internationalization of China Carbon Market on Select Nations Participating in the Belt and Road Initiative
No full textThe Belt and Road Initiative is a transnational economic cooperation zone led by China, in which China has a strong influence. Due to the backward economic construction of countries along the route, the development of carbon markets varies. In order to increase the international leadership of China's carbon market and influence the global green and low-carbon construction, China needs to accelerate the international development of the carbon market and enhance the international influence of China's carbon market. Based on the theoretical view that the construction of the Belt and Road Initiative builds a bridge for the exchange of emission reduction experience among countries along the route and the construction of imperfect carbon emission trading systems in countries along the route. This paper uses the research methods of literature review and data analysis to illustrate the importance of strengthening the internationalization of China's carbon market through the Belt and Road Initiative policy. In order to increase the international leadership of China's carbon market and influence the global green and low-carbon construction, China needs to accelerate the international development of the carbon market and enhance the international influence of China's carbon market. Actively carrying out carbon trading cooperation with countries along the Belt and Road Initiative will help China build a more internationally influential carbon market and enhance the global influence of China's carbon trading market. Share China's carbon market development and construction experience, accelerate the construction of carbon markets in countries along the Belt and Road Initiative, help countries along the route transform into low-carbon, and promote the establishment of a global carbon trading market and global climate governance system with broad participation, co-construction by all parties, pragmatism and effectiveness, and win-win cooperation
The Application of RAG in Langchain Framework in Classical Chinese
No full textCurrently, the world's mainstream Large Language Models (LLMs) offer significantly less support for Chinese than for English, resulting in challenges when utilizing generative LLMs to produce high-quality Chinese traditional literature works. This paper proposes a data source creation method, this method interprets words according to their extended meanings, which means one meaning of a word produces another or several meanings related to it in the process of language development, then use a word segmentation tool to divide the different meanings of a word, which re-quantifies the nouns, verbs, stories and histories in classical Chinese, the advantage of quantifying in this way is that it can effectively solve the problem of polysemy of words, and enhances the logical correlation between contexts. From the results, the correlation between the generated classical Chinese and the real results has been greatly improved. We use the Retrieval Augmented Generation (RAG) method to get the results at the least cost without retraining the new LL
The Impact of Organizational Inertia on AI Implementation
No full textWhen ChatGPT-3.5 entered the consumer-grade market, artificial intelligence (AI) technology has developed at a rapid pace and become an important driving force for the progress of human civilization. Up to now, the landscape of large AI models has gradually presented a situation of a hundred schools of thought contending, playing important roles in industries such as industry, healthcare, education, and finance. However, it is undeniable that there are structural resistances to the application of artificial intelligence technology in social, ethical, and other aspects. Therefore, this paper, from an organizational perspective, comprehensively analyzes existing literature on organizational inertia and its impact on the application of artificial intelligence, clarifying the definition and dimensions of organizational inertia as well as the impact of each dimension on the application of artificial intelligence technology. The study found that organizational inertia has six internal dimensions: structure, resources, cognition, path, routines, and culture. Moreover, through searching for studies on the impact of organizational inertia on the application of artificial intelligence, it was found that the number of relevant representative papers is relatively limited, and only the structural, resource, cognitive, and path dimensions of organizational inertia have been verified to hinder organizations' application of artificial intelligence technology, while there is a lack of research on the impact of the routines and cultural dimensions of organizational inertia on the application of artificial intelligence technolog
Kuala Lumpur Smart Mobility: A Case Study of Malaysia City Brain and ITS Deployment
No full textKuala Lumpur’s smart mobility program anchored by Malaysia City Brain, the Integrated Transport Information System (ITIS), and the SMART Tunnel shows measurable gains in operational performance. Using Leong’s ITS framework, we synthesize government reports and technical notes to assess four dimensions: data collection, connectivity, intelligent analytics, and responsiveness. After deployment, average commute time decreased from 35 to 27 minutes (−22.9%), the congestion index improved from 0.76 to 0.52 (−31.6%), and emergency response time shortened from 18 to 11 minutes (−38.9%). Comparative reading against Hangzhou and Singapore suggests that Kuala Lumpur’s hybrid governance (DBKL–MDEC–MIMOS) blends rapid tech deployment with risk-aware operations, particularly flood control via the SMART Tunnel. This study is limited by its qualitative, secondary-data design; nevertheless, it clarifies how institutional arrangements condition the payoffs of AI-enabled traffic management and offers policy cues for cities with similar constraint
Reframing Employee Engagement in the Digital Era: A Multilevel Review of Its Impact on Organizational Effectiveness
No full textEmployee engagement plays a vital role in enhancing organizational effectiveness, yet existing research lacks a unified framework that integrates its multilevel effects, especially under the influence of digital transformation. Fragmented theories and evolving work environments make it difficult to understand how engagement operates across individual, team, and organizational levels. This paper reviews and integrates four key theoretical perspectives—Kahn’s Psychological Conditions Theory, Self-Determination Theory, Social Exchange Theory, and Conservation of Resources Theory—to construct a multilevel model of employee engagement. It further explores how digital technologies reshape engagement through platform tools, algorithmic control, and virtual collaboration. Findings reveal that employee engagement contributes to performance, innovation, and strategic alignment, but digital transformation also introduces risks such as surveillance and emotional fatigue. The review highlights key research gaps, including the need for integrated multilevel models and context-specific digital engagement studies. This study contributes a novel conceptual framework that connects engagement theory with digital-era challenges, offering insights for future research and practical applications in human resource and organizational development
Evaluating Safety Impact Factors in Construction Projects through Multi-Entity Collaboration Using AHP
No full textThis paper investigates the multi-party participation in construction safety management as the entry point, combines the theory of stakeholders, and it aims to apply the Analytic Hierarchy Process to assess the safety status of construction projects. Following the logic of "elements → decisions → behaviors", it identifies the influencing factors of construction safety management and constructs a scientific and dynamic safety management evaluation system. The core entities involved in construction safety management, such as construction units, construction companies, supervision units, government departments, and employees, are identified, and their responsibility boundaries and coordination mechanisms are analyzed. The Delphi method and Analytic Hierarchy Process (AHP) are used to establish a multi-level evaluation index system consisting of five dimensions: "organizational management, technical execution, risk prevention and control, emergency response, and collaborative efficiency". We consider projects in Jinzhou as the research case study. It is found that the main safety factors affecting the construction process are management factors, technical factors and personnel factors, followed by equipment problems and environmental problems. The implementation of safety responsibility system, safety education and training, safety rules and regulations and contract management should be the main focus. The research shows that effective evaluation system can quantify the collaborative efficiency of multiple parties and provide theoretical support and practical paths for the innovation of safety management models in the construction industry
Singapore's Land Transport Authority (LTA): A Case Study of Predictive AI and Centralized Coordination in Urban Traffic Management
No full textThis study examines Singapore’s Smart Mobility strategy through the predictive and centralized system operated by the Land Transport Authority (LTA). Using the four-dimensional ITS framework including data acquisition, network connectivity, analytical intelligence, and operational responsiveness, the paper evaluates how predictive artificial intelligence and integrated control systems contribute to urban traffic management. The study finds that Singapore’s centralized, predictive governance model has led to notable improvements in average expressway speed, bus punctuality, and incident clearance times. However, limitations remain in areas such as system adaptability and data transparency. Comparative discussion with international cities offers insight into the scalability and constraints of such predictive transport systems
Reimagining Rural Empowerment: Evaluating the Parish Development Model’s Role in Inclusive and Sustainable Coffee Farming in Uganda
No full textThis study evaluates the Parish Development Model (PDM) as a decentralized rural development initiative aimed at enhancing the economic empowerment of coffee smallholder farmers in Hoima District, Uganda. Using a convergent mixed-methods approach, the research integrates Sen’s Capability Approach, Resilience Theory, and Social Capital Theory to examine three dimensions: institutional support, resource capacity building, and community engagement. Quantitative data were collected from 278 farmers through stratified random sampling, while qualitative insights were obtained from 12 key informant interviews and 8 focus group discussions. Findings indicate that while PDM has improved coffee yields by 37% among beneficiaries and strengthened trust in SACCOs with transformational leadership, significant barriers persist, including elite capture, gender-based land tenure disparities, and low uptake of climate-smart practices. Policy recommendations include community-vetted beneficiary selection, gender-responsive governance measures, and climate-resilient financing. The results offer lessons for scalable decentralized development models applicable in ASEAN and other Global South contexts
Analyzing and Optimizing the Cargo Gathering Network Structure of the Chengyu China-Europe Railway Express
No full textAs a crucial component of the Belt and Road Initiative, the China-Europe Railway Express (Chengyu Express) plays a vital role in enhancing Eurasian trade connectivity. This study employs complex network theory, entropy weighting method, and social network analysis to model and analyze the regional freight network structure within the Cheng-Yu economic circle. Using data from 12 cities including Chengdu, Chongqing, and surrounding regions, the research evaluates logistics industry development levels and identifies spatial connection patterns through gravity modeling. Findings reveal that core cities (Chengdu and Chongqing) dominate the network with strong logistics connections, while secondary cities exhibit varying development levels. The study identifies five key cargo consolidation nodes—Chengdu, Chongqing, Suining, Deyang. The research contributes to transportation network optimization theory and provides practical solutions for enhancing the operational efficiency of China-Europe freight services, supporting regional economic integration and logistics competitiveness
The Role of Financial Technology in Improving the Profitability
No full textThis study investigates how FinTech transforms traditional bill discounting—a process characterized by prolonged settlement times, high operational costs, and limited accessibility that constrain business liquidity and profitability. Employing a descriptive-analytical approach with primary data from Syria's unique economic landscape, the research demonstrates that digital bill discounting streamlines trade credit, accelerates settlements, reduces costs, and enhances transactional trust. These operational improvements significantly boost sales, optimize liquidity management, and improve profitability margins across all stakeholders. As a pioneering empirical examination of bill discounting digitalization within the Syrian context, this research provides novel insights for modernizing banking services and fostering sustainable economic growth through targeted financial innovation in challenging environments