Forum on Research and Innovation Management
Forum on Research and Innovation Management (FRIM), published by Scineer Publishing PTE. LTD, is an open-access journal. FRIM is devoted to publish research and innovation management related articles in the form of original papers, review papers and case studies. It also provides a platform for scholars to exchange the latest information in the related fields and aim to promote the research on research and innovation management throughout the world. FRIM welcomes all original manuscripts that do not be published in any other journals. ISSN: 3029-1933(P) 3029-1984(O)
Optimization of Automated High-Throughput CRISPR Screening Platform and Its Application in Rare Metabolic Diseases
In this article, technical considerations, system composition, and key optimization directions of automatic high-Throughput CRISp screening platforms are reviewed. Briefly, recent progress in pooled screening, single cross-cell screening, high content screening, in vivo screening, and organoid screening are summarized. Coupled with the molecular properties of rare metabolic diseases, application value of this platform in pathogenic gene identification, modifying factor mining, metabolic pathway analysis, drug target discovery, and patient model research is discussed. Other factors such as off-target effects, difficulty to quantify complex phenotypes, lack of realism in disease models, multidimensional data integration, and multidose imaging are also discussed. Furthermore, high specificity editing tools, combination of single-p and spatial omics, organoid, and clinical translation are discussed.
Reasons, Effects, and Future Predictions of the Recent Ram Crisis
The recent surge in Random Access Memory (RAM) prices, driven by the enormous and growing demand from AI data centers in leading tech countries, has become a prominent trending topic in the global tech sector recently. This unexpected price hike has directly affected the costs of almost all modern computing devices, ranging from portable smartwatches to high-performance gaming PCs and even enterprise workstations. This paper will focus on the multifaceted impacts of the ongoing RAM crisis on tech consumers and related industries, as well as provide reasonable future predictions regarding RAM price trends, subtle shifts in other relevant markets, and potential alternative technologies that may gradually replace traditional RAM in the long run.
A Study on Strategies to Enhance the Well-being of Librarians
As the core of library knowledge services, the professional well-being of librarians is not only related to their own career development and mental health but also directly impacts the effectiveness and innovation level of library services. Currently, due to factors such as compensation, career recognition, and more, the professional well-being among librarians is generally low, affecting their work enthusiasm and organizational sense of belonging. This paper provides an in-depth analysis of the main factors influencing librarians' professional wellbeing and proposes specific strategies for improvement. The study concludes that only by establishing people-centered management mechanisms and career support systems can librarians'professional enthusiasm be truly stimulated, thereby driving the high-quality development of the library profession.
Copyright (c) 2026 Yuhe Liu,Ran Wang,Chang Jin*
The Inspiration of the Double Helix: From Structural Elucidation to Biological Functions
The DNA double helix model proposed by Watson and Crick in 1953 stands as a crucial milestone in the development of modern molecular biology. This model clearly illustrates the core biological principle that structure determines function. Its discovery integrated interdisciplinary thinking, as well as common scientific research methods such as hypothetico-deduction and model construction. This paper analyzes the intrinsic relationship between the structure and function of the DNA double helix, along with the scientific thinking and research methods reflected in this discovery, summarizes the enlightenment of this classic case for biological research, helps us better understand the nature of life science research, and also provides some references for the study of scientific research methods.
Performance and Risk Analysis under the Diversification Development Strategy of Gree Electric Appliances
Against the backdrop of intensifying market competition and evolving consumer demands both domestically and internationally, a single business model can no longer sustain corporate long-term growth. Diversification strategies have become a crucial approach for enterprises to enhance competitiveness, though they also entail potential risks. Using Gree Electric Appliances as a case study, this paper analyzes the implementation outcomes and risks associated with its diversification strategy and proposes targeted countermeasures to provide insights for relevant enterprises.
Design and Implementation of a Dual-Mode Communication Control System Based on Low-Power Wide-Area Networks
Copyright (c) 2026 Yige Zhang,Haoming Chi
A Study on the Influencing Mechanisms of Foreign Users' Continued Use Intention of China's Mobile News
Based on Expectation Confirmation Theory, This study combines perceived ease of use with perceived playfulness to predict users' continuance intention toward mobile news. Using structural equation modeling, the results show that expectation confirmation is positively related to perceived usefulness, ease of use, and playfulness. Continuance intention is positively influenced by user satisfaction, perceived usefulness, ease of use, and expectation confirmation, with user satisfaction having the strongest effect. Mediation analysis shows that user satisfaction partially mediates the effects of perceived ease of use and playfulness, and fully mediates the effect of expectation confirmation on continuance intention.
The Policy Evolution and Institutional Logic of Open Government Data in China
Since Shanghai launched China's first government data open platform in 2012, the Chinese government has continuously promoted policy innovation and institutional development in the field of Open Government Data (OGD), gradually forming a coordinated system characterized by policy guidance, technical support, institutional guarantees, and platform operations. This article systematically reviews the policy trajectory of China's OGD from a temporal perspective, analyzes the core policy documents and institutional mechanisms at different stages, and reveals the logical structure of its policy evolution.
Research on the Impact of Cross border Financial Cooperation on the Development of International Relations
Cross border financial cooperation has become an important force in reshaping international relations. This article systematically studies its impact on international relations, sorts out its theoretical connotations and characteristics of the times, analyzes multidimensional positive effects, explores challenges such as geopolitical games, institutional barriers, and risk transmission, and proposes an optimization path centered on inclusive architecture, regulatory coordination, and joint monitoring. Research has shown that cross-border financial cooperation deepens economic interdependence between countries and plays a bridging role in building political mutual trust and global governance reform, but its effectiveness is constrained by the dual constraints of great power competition and institutional friction.
A Study on the Physical Mechanisms of Hyperthermia Technology in Medical Physics
Hyperthermia technology falls within the domain of medical physics interventional oncology and tissue ablation. Focusing on the issues of heat generation, focusing, diffusion, and dose control within human tissues, this paper analyzes its physical mechanisms from three perspectives: electromagnetic coupling heat generation, acoustic beam focusing thermal effects, and thermal field conduction regulation. It further proposes comprehensive application approaches, including target zone temperature control in electromagnetic hyperthermia, precise positioning in ultrasound thermal ablation, and thermal field monitoring with dose optimization. The efficacy of hyperthermia is not solely dependent on the type of heat source but is also influenced by factors such as the dielectric properties of tissues, acoustic parameters, blood perfusion, and temperature field distribution. Enhancing physical modeling, real-time monitoring, and dose feedback can improve the precision and safety of hyperthermia.
Dynamic Filtering Electronic Mask Design
Aiming at the pain points of traditional masks, such as suffocation, easy secondary pollution and lack of monitoring, this paper designs an intelligent protective mask based on ESP32. The temperature and humidity pressure sensor, active fan and UV-TiO2 filter layer are integrated on the hardware to realize the coupling of physical interception and photocatalytic sterilization. On the software, the wear detection and filter blocking early warning algorithm are developed, and the Web Internet of Things monitoring platform is constructed. The test results show that the system significantly improves the internal microenvironment while ensuring efficient protection, and has broad application prospects in mountain fires, industrial dust and medical sterilization.
Intelligent Optimization and Quality Improvement of Material Forming and Control Engineering in Mechanical Manufacturing
As the mechanical manufacturing industry undergoes a critical phase of intelligent transformation, technological advancement and quality control in material forming and control engineering have become pivotal breakthroughs. This study focuses on intelligent optimization and quality enhancement in material forming and control engineering, analyzing three core technological pillars: machine learning, digital twins, and industrial IoT. It further explores three key pathways for quality improvement, including intelligent perception and monitoring, and proposes an integrated optimization solution that combines intelligent technologies with forming engineering. The aim is to overcome the limitations of traditional process reliance on experience, achieve precise control of forming processes, and implement closed-loop quality management, thereby providing robust technical support for the high-quality development of the mechanical manufacturing industry
Research on the Design of Mechanical Systems for Automated Production Lines and the Optimization of Their Operation
Driven by the intelligent manufacturing strategy, automated production lines have become the core vehicle for enhancing quality and efficiency in the manufacturing sector. As the hardware foundation, the mechanical systems 'design rationality and operational stability directly determine production efficiency, product quality, and overall costs. Currently, China's automated production line mechanical systems face challenges such as design homogenization, structural redundancy, high energy consumption, and substantial maintenance costs, making them inadequate for meeting the demands of multi-product and flexible production. Based on mechanical design theory and industrial engineering principles, this paper analyzes the core components and design requirements of mechanical systems, examines design and operational challenges through industry practices, and proposes optimization strategies in four areas: modular design, lightweight optimization, dynamic simulation, and intelligent operation and maintenance. It also establishes a full lifecycle assurance mechanism, providing theoretical references and technical support for production line upgrades.
Research on Defect Detection and Quality Control Method in Material Forming and Control Engineering
The quality of material forming directly determines product safety and durability, with defect detection and quality control serving as critical safeguards. This study focuses on defect detection and quality control in material forming and control engineering, conducting an in-depth analysis of the manifestations and causes of three types of defects: surface geometry, internal structure, and dimensional accuracy. It proposes a quality control method featuring multi-modal fusion detection technology, parameter optimization, real-time monitoring, and full-chain traceability. The aim is to enhance the precision of defect detection and the effectiveness of quality management, thereby providing technical support for the high-quality development of manufacturing industries.
Advances in Construction of Surface Molecularly Imprinted Materials and Their Efficient Mass Transfer Regulation for Proteins
As key executors of life activities, efficient separation and purification of proteins is a critical bottleneck in biopharmaceuticals, food industry, and clinical diagnostics. Molecular imprinting technology (MIT), which mimics antibody-antigen specific recognition, can produce "artificial antibody" materials with predetermined recognition ability, showing great potential for protein separation. However, traditional bulk imprinting suffers from high mass transfer resistance, difficult template removal, and poor accessibility of recognition sites, limiting its application for macromolecular proteins. Surface molecular imprinting technology (SMIT) confines imprinted sites to the surface or near-surface region, fundamentally overcoming mass transfer issues and becoming the mainstream approach. This review systematically summarizes construction strategies of surface imprinted materials and their regulation mechanisms on protein mass transfer, focusing on key technologies such as core-shell structure design, ultrathin imprinted layer fabrication, hierarchical pore construction, and oriented template immobilization. Recent advances in smart responsive imprinted materials and multiscale composite supports for mass transfer optimization are also summarized. Finally, current challenges and future directions are discussed, aiming to provide a theoretical reference for designing high-performance protein separation materials.
Copyright (c) 2026 Kejie Dong,Youhong Zhang
A Century of Evolution in Research on the Risks of Intelligent Technologies: From Literary Imagination to Academic Institutions
Discussions on the risks of intelligent technologies can be traced back to the mid-19th century, undergoing a long evolution from science fiction metaphors to scientific predictions, and from philosophical speculation to engineering ethics. This article traces its historical process into four stages: Emerging in science fiction prophecies and literary creations, with Butler, ?apek, Asimov, and others pioneering core themes such as "creations turning against their creators" through literary imagination; scientificating in the mid-20th century, with scholars like Wiener, Turing, and Goode offering serious predictions using concepts such as cybernetics and the "intelligence explosion"; ethical agenda-setting from the 1970s to the 1990s, with the "Stanley House Criterion" initiating an interdisciplinary ethical framework, and Minsky and Vinge deepening discussions on value alignment and the technological singularity; institutionalizing in the 21st century, marked by the establishment of specialized institutions such as the Machine Intelligence Institute and the MIT AI Risk Repository, risk research has moved from fragmented thinking to systematic academic exploration. This century-long evolution profoundly reflects the historical urgency of paying attention to and preventing the risks of artificial intelligence.
Research on Teaching Reform Path of College Mental Health Education in the New Era
With the rapid development of social modernisation, technological change and other changes, the mental health problems among college students have been rising. Mental health education has gradually been incorporated into the curriculum at the college level to promote the mental health of students and all-round development. Traditional college mental health education still has problems such as outdated teaching concepts, a lack of practical relevance, limited integration of digital technology, and insufficient professional support. Therefore, this paper will use the method of literature review and theoretical analysis to explore the current situation of college mental health education and identify the main problems in its implementation. In light of the educational requirements in the new era, this paper puts forward reform paths such as the innovation of teaching methods, the integration of information technology, the improvement of teacher professionalism, and the construction of collaborative education mechanisms. It is suggested that student-centered, technologyassisted and practice-oriented reform will enhance the effectiveness of mental health education and promote the cultivation of psychologically healthy, resilient college students.
Enclosure and Neoliberalism in Global Capitalism
In the past few decades, privatization and commodification have become decisive features of global capitalism. From housing and welfare to infrastructure and public services, assets and spaces that were once organized as collectives or public goods are increasingly being transformed into private, market regulated forms. However, what is particularly noteworthy is that these processes are not only constantly expanding, but also still exist in the face of repeated economic crises, social resistance, and increasing inequality. The core argument presented in this article is that neoliberal privatization represents a contemporary and diverse form of enclosure in global capitalism. It is crucial that these processes are legitimized through the discourse of freedom, responsibility, and choice, redefining market dependence as individual empowerment. By critically comparing enclosure and neoliberalism, this article demonstrates how capitalism has survived crises, but through its ability to reshape control mechanisms in the language of liberation. The analysis first outlines the political origins of enclosure and property relations, then examines neoliberalism as a project of accumulation by dispossession, and finally compares their shared mechanisms of state power, legal restructuring, and ideological legitimation in contemporary political-economic contexts."
Research on Budget Management and Cost Management Practices under Management Accounting Application Guidelines -- A Case Study of Enterprise A and Enterprise B
With the increasing complexity of market competition and digital transformation, management accounting has become an important tool for supporting internal decision-making. Based on China's Management Accounting Application Guidelines, this paper analyzes the budget management practice of Haier Smart Home and the cost management practice of Kweichow Moutai. The study finds that Haier Smart Home improves strategic execution through strategic budgeting, participatory budgeting and rolling budgeting, while Kweichow Moutai maintains product quality and brand value through value-oriented cost management, activity-based costingand life-cycle cost management. The two cases show that management accounting tools should be selected according to industry characteristics and strategic objectives. However, enterprises still face problems such as insufficient finance-business integration, weak digital support and incomplete performance evaluation. Therefore, enterprises should improve their management accounting systems, strengthen data sharing and build strategy-oriented assessment mechanisms.
An Empirical Study on Consumer Purchasing Behavior based on Online Reviewsand the UTAUT2 Model
This study investigates the mechanism by which online review characteristics integrated with the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) influence consumer purchasing behavior in e-commerce contexts. Employing a mixed-methods approach with camera purchases as the research object, the investigation combines Python-based BTM topic modeling of scraped e-commerce platform reviews with empirical analysis of 303 survey responses. Results demonstrate significant positive correlations between purchasing behavior and effort expectancy, habit, price-value ratio, usage experience, service quality, and product evaluation, while performance expectancy shows no direct effect. Purchase intention serves as a critical mediator. The research innovatively integrates objective text mining with UTAUT2, validating and refining the theoretical framework while providing data-driven marketing implications for e-commerce platforms and manufacturers.
Research on the Financial Integration and Synergy Effects of JD Logistics' Merger and Acquisition Case
China's logistics industry is increasingly competing in e-commerce and large-scale logistics, and optimizing resource allocation through mergers and acquisitions and corporate restructuring has become an important means to enhance competitiveness. This paper takes JD and Deppon mergers and acquisitions as an entry point to explore how logistics companies can gain additional benefits through financial synergy in mergers and acquisitions and analyze their impact on industry scale. The study suggests that JD's acquisition of Deppon can effectively control financial risks, improve liquidity and financial asset-liability ratios, and enhance market competitiveness through management and experience synergies.
The Construction of a National Community in the Northwest Frontier of the Tang Dynasty and Its Implications
The Tang Dynasty is significant in China's development as a unified multi-ethnic state, and its governance in the Northwest Frontier provided rich historical experience. This study uses the"national community"theory to systematically examine the Tang Dynasty's historical practices in building a national community in the Northwest Frontier. By analyzing policies across dimensions like political identity shaping and cultural integration, it explores governance wisdom and historical insights. Considering new-era ethnic work needs, it investigates the historical experience of the Tang Dynasty's Northwest Frontier national community construction for contemporary ethnic unity and progress. This research broadens the perspective on Tang Dynasty frontier governance and offers historical references for building the Chinese national community in the new era.
Copyright (c) 2026 Chuanchuan Li,Shijin Zhao
The Design and Implementation of a Cultural Education Curriculum System Integrating the Concept of Ideological and Political Education
Curriculum-based ideological education is a core measure for cultivating virtue in universities in the new era. Cultivating through culture is an important path for inheriting excellent traditional Chinese culture and fostering cultural confidence. The deep integration of the two is the key leverage for implementing the "all-round education" framework. This article, in combination with the talent cultivation goals of universities, clarifies the core connotation and design principles of the cultural education curriculum system that integrates curriculum-based ideological education, and constructs a scientific and complete curriculum system from three dimensions: curriculum module construction, teaching content optimization, and implementation path innovation. It also proposes targeted safeguard measures to provide practical references for universities to achieve coordinated education of value guidance and cultural inheritance, and help cultivate new-era young people with professional competence, cultural background, and a sense of patriotism.
The Mediating and Suppression Effects of Financing Costs: The Impact of ESG Performance on Green Innovation
Against China's dual carbon goals, green transformation of high?energy?consuming manufacturing is critical to high?quality economic development. Using 2018-2024 A?share listed firm data from this sector, we employ two?way fixed?effects and mediation models to examine ESG environmental performance's impact on green innovation and its transmission mechanism. Results show: (1) ESG significantly reduces financing costs; (2) lower financing costs strongly promote green innovation; (3) a significant 5% indirect effect coexists with an insignificant total effect, revealing a suppression effect - ESG positively affects green innovation via lower financing costs, but this is offset by a negative direct effect. These findings clarify ESG's complex mechanism and provide evidence for optimizing green finance policies and industrial transformation.
Research on How Data Intelligence Empowers Innovation in Library Knowledge Services and the Evaluation of Their Efficiency
In the digital economy era, the rapid evolution of data intelligence technologies is driving libraries to transform from traditional "document storage centers" into modern "academic intelligence hubs." As the core function of libraries, knowledge services' innovation level directly determines their competitive edge. This paper focuses on the deep integration of data intelligence with library knowledge services, examining the theoretical foundations and practical context of how data intelligence enhances these services. It analyzes the application pathways of data intelligence in knowledge service innovation, establishes a scientific and actionable performance evaluation system, and proposes optimization strategies addressing current challenges. The findings provide theoretical support and practical guidance for libraries to leverage data intelligence in improving knowledge service quality and achieving high-quality development.
Research on Evaluation and Iteration Methods for Internet Product Design Based on Mobile Smart Devices
This paper examines evaluation and iteration methods for Internet product design based on mobile smart devices. It reviews the development from laboratory usability testing to online iteration in natural scenarios, and discusses how mobile devices, user feedback and open participation support agile product improvement. It suggests that future design should combine usability evaluation, field testing and intelligent data analysis to meet personalized user needs.
Research on the Teaching Practice and Development of Integrating Mural Art into University Classrooms
As an important category of traditional visual arts of the Chinese nation, murals embody the aesthetic norms, folk culture and spiritual essence of successive dynasties, and possess prominent public nature, comprehensiveness and inheritance value. Against the backdrop of improving the quality of aesthetic education in universities and promoting the creative transformation of traditional culture in the new era, systematically incorporating traditional mural art into university curriculum systems serves as a vital approach to optimizing the structure of university aesthetic education, fostering students' aesthetic attainments and strengthening their sense of identity with national culture.
Research on the Innovation Path and Performance Impact of Enterprise Business Model under the Background of Digital Transformation
Investor Sentiment in HAR Volatility Forecasting: Evidence from China's Stock Market
This paper investigates whether investor sentiment (IS) provides incremental predictive power for stock market volatility forecasting within the heterogeneous autoregressive (HAR) framework. Using 300 days of high-frequency data from the Shanghai Composite Index and textual data from the Eastmoney Stock Forum, we construct a daily investor sentiment index and incorporate it into HAR-type models. Empirical results show that investor sentiment has a significantly negative impact on future volatility at daily and weekly horizons, but a positive impact at the monthly horizon. The effect is state dependent, becoming stronger under high volatility conditions. Out of sample forecasts confirm that the HAR IV IS model outperforms the baseline HAR IV model at longer horizons (one week and one month). These findings highlight the importance of behavioral factors in volatility prediction.
A Study on the Impact of the Ecological Space Distribution in Lhasa City, Qinghai?Tibet Plateau, on Urban Planning
Lhasa city in the Tibet Autonomous Region faces the dual challenges of intensifying urban pollution and a decreasing ecological carrying capacity, which are concurrent with its rapid urbanisation. ??Lhasa, an internationally recognised wetland city, has witnessed a gradual annual reduction in the area of the Laru Wetland, thus decreasing its overall ecological regulation function for the city. Nevertheless, this city continues to play a pivotal role in research on the hydrological and climatic regulatory mechanisms of plateau belt cities. Urban microgreen spaces can significantly increase oxygen and relative humidity levels, thereby improving the living environment. We employed a multicriteria decision analysis (MCDA) methodology, combined with field investigations and documentary evidence, to analyse the impacts of plateau wetlands and green spaces on urban planning in Lhasain depth. ??In this study, an innovative framework is proposed with the ultimate objective of addressing the array of challenges resulting from Lhasa's rapid urbanisation through the rational planning of green spaces and wetland development, thereby achieving sustainable development in urban planning.
Copyright (c) 2026 Shutong Liang,Yating Zhang,Yinghan Lin,Qin Wei*
The Impact of Tourism on Tertiary Sector Growth in Shiyan: An Empirical Study
Tourism, a cornerstone of the tertiary sector, is increasingly central to regional economic growth and competitiveness. Shiyan City, with its distinctive geographical advantages and rich cultural heritage, boasts substantial potential for tourism-driven development. Using a time-series dataset for Shiyan covering 2002-2022, this study empirically examines the impacts of tourism-related indicators on the gross domestic product (GDP) of the tertiary sector. The results show that total tourism revenue, the number of travel agencies, the number of star-rated hotels, and urban residents' disposable income all exert significant positive effects on tertiary-sector GDP growth, with disposable income acting as the strongest determinant. Furthermore, this study tests the equilibrium relationship between domestic tourism revenue and tertiary-sector GDP. The findings indicate a long-run equilibrium between the two variables and a unidirectional Granger causality: tertiarysector growth significantly drives tourism development, rather than the reverse.
Research on Building Modeling Technology Based on 3D Laser Scanning Technology
With the acceleration of urbanization and the continuous development of digital technology, the demand for 3D modeling of buildings in urban planning, cultural heritage protection, virtual reality and other fields is increasing day by day. Based on 3D laser scanning technology, this paper conducts 3D modeling of the exterior of buildings. Firstly, point cloud data is collected from the exterior of the building using a 3D laser scanner, and point cloud processing is carried out using Trimble RealWorks software, including: point cloud stitching, clipping and noise removal, and registration; finally, the linkage function between Trimble RealWorks and SketchUp is utilized to extract the characteristic lines of the building, and modeling is conducted based on the point cloud, exploring the techniques, methods and processes of building 3D models based on point cloud data, providing a reference for the digital modeling of buildings.
Copyright (c) 2026 Hao Guo,Ting Xu,Chao Ren,HongYue Wang
Effects of Different Light Intensities Coupled with Growth Differences of Porphyridium Cruentum and Its Preliminary Molecular Mechanism
Porphyridium cruentum is a primitive unicellular red alga distributed in freshwater, seawater and moist soil. It synthesizes highvalue bioactive substances including phycobiliproteins, polysaccharides and polyunsaturated fatty acids. Light, a key environmental regulator, modulates its growth and metabolite synthesis. Different light intensities and photoperiods affect bioactive compound accumulation and molecular responses. This study explores light environment impacts on P. cruentum's key growth indicators and biosynthesis of proteins, polysaccharides and lipids. It aims to confirm optimal growth conditions and optimized medium for cost reduction, growth cycle shortening and largescale cultivation. It also explores the underlying molecular mechanisms, laying a foundation for understanding its light signal responses.
Enhancing Cross-Border Logistics Resilience through AI Investment: A Cost Optimization Perspective
Global supply chains face increasing cross-border disruption risks from geopolitical uncertainty, congestion, customs delays and trade restrictions. This study examines how artificial intelligence, or AI, investment improves cross-border logistics resilience under disruption. Based on supply chain resilience and logistics cost optimization theories, a cost optimization model is developed in which AI investment reduces delay costs and disruption-related losses with diminishing marginal returns. Numerical simulation shows that AI investment lowers total logistics cost, but excessive investment may be inefficient. The optimal AI investment level increases with disruption probability, suggesting that firms should adopt dynamic and risk-oriented AI investment strategies to improve logistics visibility, disruption response and supply chain resilience.
Copyright (c) 2026 Chuanzu Chen,He Huang,Yanzi Chen,Chenxi Jing,Xianzai Yu
The Impact of Digital Transformation on Enterprises' Outward Foreign Direct Investment
Under the background of deepening globalization and the rapid rise of the digital economy, cross-border direct investment has become a key way for enterprises to promote their international layout. This study uses the panel data of A-share listed companies from 2014 to 2024 as a research sample to systematically explore the impact of corporate digital transformation on outward foreign direct investment ( OFDI ) behavior. The empirical results show that the improvement of the level of digital transformation of enterprises can significantly expand the scale of outward foreign direct investment. ??In general, the promotion of digital transformation has a significant positive effect on the overseas investment activities of Chinese enterprises. This conclusion not only provides an empirical reference for enterprises to optimize the international strategic layout, but also provides a reliable practical basis for accelerating the pace of digital upgrading of enterprises and promoting the construction of a higher level of open pattern.
Copyright (c) 2026 Mengya Ji,Bingyan Zhao
Optimization of Multi-User Personalized Demand Response for Virtual Power Plants Based on Federated Reinforcement Learning
Discusses the different deficiencies of virtual power plants in collecting distributed user resources for grid management, such as large fluctuations in user electricity consumption, high risks of data privacy, and insufficient adaptability of centralized optimization algorithms, which hinder the coordinated improvement of grid dispatch benefits and the personalized electricity needs of users. By using federated reinforcement learning algorithms, the research constructs a demand response optimization system for virtual power plants suitable for multiple user situations. This system conducts local training and encrypted parameter combination to protect user data privacy while optimizing the grid peak reduction and energy consumption with the improvement of user electricity usage satisfaction.
Copyright (c) 2026 Yanbo Liu,Shujie Wang,Haokai Sun
Financial Risk Control System Based on Big Data and Artificial Intelligence
With the financial market expanding rapidly and becoming more complicated, the old way of controlling risks is not enough for today's money management. Big data plus AI gives us some good chances to make better risk predicting, watching over, and making decisions. This paper is about a kind of financial risk control system created by using big data and AI. It talks about how it's built, the main technological parts involved, and how well it helps make risk control work better. In conclusion, we believe that the combination of big data analysis and artificial intelligence algorithm could greatly improve financial risks management system; however, there are still problems existing such as data quality problem, algorithm's transparency problem and regulations problem.
A Study on the Impact of Green Innovation Strategy on Enterprise Competitive Advantage: Evidence from a Listed Company's Data
Against the backdrop of advancing dual carbon goals and increasingly stringent environmental protection policies, green transformation has become a necessary choice for enterprises to achieve sustainable development. Based on the panel data of a listed manufacturing company from 2019 to 2023, this paper measures its green innovation strategy from two aspects: green R&D investment and environmental patent output, and evaluates the enterprise's competitive advantage from two perspectives: profitability and market competitiveness. Through descriptive statistics, correlation analysis and regression analysis, the research results show that green innovation strategy has a significant positive impact on enterprise competitive advantage. Among them, green R&D investment plays a more direct role, while environmental patent output indirectly enhances the enterprise's competitive advantage by promoting product differentiation. This study provides micro-level evidence for relevant theories and offers practical reference for similar enterprises to formulate green strategies.
Copyright (c) 2026 ABBAS AMMAR AHMED NOMAN,Liangrong Song