World Journal of Information and Knowledge Management
World Journal of Information and Knowledge Management (WJIKM) is an international peer-reviewed, open access journal.
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON EMPLOYMENT IN GUANGDONG’S MANUFACTURING SECTOR AMID DIGITAL TRANSFORMATION
Against the backdrop of industrial digital transformation, artificial intelligence (AI) technology is profoundly reshaping the employment structure in the manufacturing sector. Based on survey data from 423 manufacturing enterprises in Guangdong, this study employs analysis of variance (ANOVA) and benchmark regression models to systematically analyze the impact of AI applications on changes in employment scale, job demand, and skill requirements. The results indicate that AI generally exerts a significant positive effect on the employment scale in the manufacturing sector; factors such as the proportion of R&D investment in AI, the growth rate of AI investment, and the proportion of AI-related personnel all significantly drive employment growth. there is marked heterogeneity in employment changes across industry types, enterprise sizes, and enterprise nature, with more pronounced adjustments observed in the equipment manufacturing sector, high-tech manufacturing, as well as in medium-to-large enterprises, foreign-invested, and joint-venture enterprises; AI is driving a shift in job demand toward intelligent roles such as AI R&D engineers and industrial data analysts, while simultaneously prompting an upgrade in skill requirements toward composite competencies in data analysis, human-machine collaboration, and innovative problem-solving. The study’s conclusions can serve as a reference for human resource structural adjustments and employment policy formulation in Guangdong’s manufacturing sector.
Copyright (c) 2026 ShuangShuang Ye; KeYi Wang; Xiu Chen https://creativecommons.org/licenses/by/4.0
HIGH-FREQUENCY TRADING ALGORITHMS AND THEIR EFFECTS ON INTRADAY MARKET VOLATILITY
The proliferation of high-frequency trading (HFT) has fundamentally transformed modern financial market microstructure, raising important questions about its impact on intraday volatility dynamics. This study examines the complex relationship between HFT algorithms and intraday market volatility through comprehensive analysis of market microstructure data spanning multiple markets and time periods. Our investigation reveals that HFT exhibits a dual nature: under stable market conditions, increased HFT activity is associated with reduced intraday volatility and improved liquidity provision; however, during periods of market stress and intraday crashes, HFT algorithms can amplify volatility through rapid order cancellations and liquidity withdrawals. Empirical evidence from European equity markets demonstrates that HFT participation has grown substantially from 2011 to 2013, with large-cap stocks exhibiting HFT activity levels ranging from 40% to 80% of total trading activity. Our analysis reveals strong positive correlations between HFT profitability and both trading volume and market volatility, with correlation coefficients exceeding 0.80 for volume relationships and 0.66 for volatility relationships. These findings indicate that while HFT provides substantial benefits in terms of reduced bid-ask spreads and enhanced price discovery under normal conditions, algorithmic interactions during extreme events create feedback loops that exacerbate price movements. The results have significant implications for market regulators and institutional investors seeking to understand the evolving dynamics of modern electronic markets and the necessity for appropriate regulatory frameworks that balance innovation with market stability.
Copyright (c) 2025 YiChen Liu; Wei Zhang; Benjamin Carter https://creativecommons.org/licenses/by/4.0
RESEARCH ON THE EFFICIENCY AND ACCURACY OF GENERATIVE AI IN THE EDITORIAL PROCESS OF SCIENTIFIC JOURNALS
This study aims to explore the application of generative artificial intelligence (AI) in the editorial process of scientific journals and its impact on editing efficiency and accuracy, thereby foreseeing potential changes in future scientific communication. Utilizing literature reviews and data analysis, this study focuses on literature published between 2020 and 2023, involving top academic journals, conference papers, and authoritative databases. Through qualitative analysis, content analysis, and comparative analysis, the study comprehensively assesses the application of generative AI in the editing of scientific journals. The research shows that generative AI has significant advantages in the preliminary review, language polishing, and format standardization of scientific journal submissions. Although it enhances editing efficiency and manuscript quality, AI has limitations in understanding complex academic content and maintaining high accuracy. The application of generative AI in the editing of scientific journals is in a rapid development stage, but its potential is immense, especially in improving editing efficiency and accuracy. Future research needs to explore in-depth the limitations and ethical responsibilities of AI, as well as the collaboration model between AI and human editors, to ensure the quality and integrity of scientific journal content.
Copyright (c) 2024 Lin Zhong; ChaoMin Gao https://creativecommons.org/licenses/by/4.0
STRATEGIES FOR CONSTRUCTING CLASSROOM READING CULTURE IN THE DIGITAL AGE
This study explores effective strategies for integrating reading culture into classroom culture to create a supportive environment for students' learning and growth. Utilizing a literature review approach, it synthesizes research findings on classroom reading culture construction from both international and domestic sources. Four main strategies are proposed: creating an engaging environment, involving teachers and parents, utilizing digital tools, and connecting reading to the real world. By providing diverse reading materials and comfortable spaces, fostering reading habits jointly with teachers and parents, offering personalized reading experiences through digital tools, and linking reading content with students' actual lives, these methods can effectively promote the construction of a classroom reading culture.
Copyright (c) 2024 LiuZhen Wei https://creativecommons.org/licenses/by/4.0
RESEARCH ON MARKETING STRATEGY OF SHANGHAI Y TEA HOUSE IAPM MALL STORE
To analyze and address the current marketing challenges faced by Shanghai Y Tea House iAPM Mall Store, this study adopts interviews, literature review, and observation methods to deeply analyze the store's marketing strategy issues. The research found that the main problems include unstable product quality, low cost performance, lack of diversified channel integration, and single promotion mode. These issues mainly stem from inadequate product quality control, inflexible price adjustment mechanisms, excessive use of traditional business thinking, and traditional promotion methods. Based on this, the study proposes corresponding countermeasures, including strict product quality control, differentiated pricing implementation, online and offline channel integration, and innovative promotion methods to improve its marketing strategy, enhance competitiveness, and promote sustainable and healthy store development.
Copyright (c) 2024 ShanShan Luo; ChaoMin Gao https://creativecommons.org/licenses/by/4.0
ACTION MECHANISM OF BELT AND ROAD COOPERATION TO PROMOTE GLOBAL POVERTY REDUTION AND CHINA’S EXPERIENCE
The Belt and Road Initiative is a concrete action expression of the concept of a community with a shared future for mankind. Poverty alleviation is one of the global development and governance problems that the Belt and Road is concerned with. This paper combines theoretical research and empirical analysis to explore the action mechanism of Belt and Road Cooperation to promote global poverty reduction, based on the current situation and problems of global poverty alleviation, especially those of the countries along the Belt and Road. We are committed to transforming the potential energy of Belt and Road cooperation into effective governance for global poverty reduction. Based on China's experience, the Belt and Road Initiative to promote global poverty reduction can start from six dimensions: government-led participation, rapid economic growth, individual capacity improvement, joint construction by social organizations, development shared by all, and the destiny of all mankind. Then, systematic and feasible strategies for breaking out of the "poverty trap", amplifying the "trickle-down effect", maintaining sustained income growth, realizing the diversity of the same direction, demonstrating the centrality of the people and gathering the strength of the community are clearly presented. This paper provides an action plan for high-quality jointly building the Belt and Road and accelerating global poverty alleviation.
Copyright (c) 2024 HaiGang Jia; Ye Pan https://creativecommons.org/licenses/by/4.0
THE EVOLUTION OF IBM’S CORE VALUES GUIDED BY STRATEGY: FROM HARDWARE GIANT TO SOLUTION INNOVATOR
This paper aims to explore the evolution of International Business Machines (IBM) core values and their key role in strategic transformation. Through historical review and case analysis, this study examines how IBM adjusted its core values at different stages of its development to adapt to the ever-changing business environment. Using literature analysis, this paper systematically reviews the cultural and strategic changes during the Watson era, the Gerstner period, and under the leadership of Palmisano, in conjunction with IBM's historical development and strategic decisions made by its leaders. The study finds that IBM's core values were continuously adjusted with the intensifying market competition, technological innovations, and leadership changes. These adjustments not only supported the company's strategic transformations at various stages but also contributed to IBM’s leadership in the global IT industry. The conclusion highlights that cultural adaptability and leadership influence are crucial factors in driving strategic transformation, and to maintain competitiveness in a dynamic environment, companies must align the development of their corporate culture and strategy.
Copyright (c) 2024 JiTao Hao https://creativecommons.org/licenses/by/4.0
FORECASTING FOR CARBON EMISSION TAXES THROUGH A DATA-DRIVEN PATH TO SUSTAINABILITY
Climate change represents one of the most significant global challenges, necessitating urgent action to reduce greenhouse gas emissions. Among various policy measures, carbon emission taxes have emerged as a critical tool for incentivizing reductions in carbon footprints by imposing financial charges on carbon-intensive fuels. This paper explores data-driven forecasting methods for carbon emission taxes, emphasizing their potential to enhance policy effectiveness. Accurate forecasting is essential for policymakers to understand the economic and environmental impacts of carbon taxes, enabling informed decisions that align with climate goals. Utilizing advanced data analytics and modeling techniques, this study investigates the trajectories of carbon emissions and potential tax revenues under diverse scenarios, highlighting the complexities of global carbon markets and the need for adaptive policy frameworks. This research contributes significantly to the discourse on sustainability by offering a robust framework for forecasting carbon emission taxes. The insights gained not only enhance the understanding of carbon emissions dynamics but also support the development of more effective and equitable carbon pricing mechanisms. As the global community continues to confront climate change, the findings of this study provide essential guidance for policymakers, businesses, and environmental advocates striving for a sustainable future. Future research should focus on refining these forecasting methods and exploring the long-term implications of carbon taxation on sustainable development.
Copyright (c) 2024 Stanley Sia Chong Soon https://creativecommons.org/licenses/by/4.0
INFORMATION SYSTEM DIGITALIZATION: TRANSFORMATION STRATEGIES, IMPLEMENTATION APPROACHES, AND ORGANIZATIONAL OUTCOMES
This systematic review examines the comprehensive landscape of information system digitalization across global organizations from 2015 to 2024. Through rigorous analysis of over 500 implementation cases, 200 academic studies, and extensive industry reports, this review presents a thorough synthesis of digital transformation strategies, success factors, implementation methodologies, and organizational outcomes. The findings demonstrate that successful digital transformation requires an intricate balance of technological innovation, organizational change management, and strategic alignment with business objectives. This review provides insights into the complex interplay between technical infrastructure, human factors, and business processes in the context of digital transformation.
Copyright (c) 2024 DuanHong Zhang; WenJia Ding; Yang Wang; SiWen Liu https://creativecommons.org/licenses/by/4.0
STRATEGIES FOR EMBEDDING INFORMAL RELATIONSHIP NETWORKS IN DIFFERENT STAGES OF INDIVIDUAL CREATIVITY
This paper uses the method of individual interview to collect data to explore the informal relationship network strategy behavior of individual creativity enhancement. The research results show that in order to achieve higher creativity performance, it is necessary to embed appropriate informal relationship networks in different stages of creativity. Specifically, it is necessary to embed knowledge sharing relationship networks in the stage of idea generation and workplace friendship networks in the stage of creative implementation. This paper further discusses the specific influencing factors of individuals embedding informal relationship network strategy behavior. First, it holds that only strategic behavior can achieve high performance, and the "two-pronged" relationship network construction strategy cannot be adopted. In terms of strategic behavior, the strategy of changing the existing advantages of informal relationship networks is more creative than that of strengthening the existing advantages, and individuals in the center of the network need to establish workplace friendship, and individuals in the edge need to establish more knowledge sharing relationship networks to achieve higher creativity performance. Obviously, this study provides a new research idea for clarifying the differences in the research of informal relationship network embedding strategies in different stages of individual creativity, and the research on the heterogeneity of strategic behavior has important practical value for both organizations and individuals engaged in creativity work.
Different stages of individual creativity
Copyright (c) 2024 GuangHui Hou; SiYuan Liu; GangMin Yu https://creativecommons.org/licenses/by/4.0
QUALITY OF TERTIARY EDUCATION AMIDST POPULATION POPULATION GROWTH: CHALLENGES AND OPPORTUNITIES IN ZAMBIA
Lack of quality tertiary education is often highlighted as one of the main factors hindering the development of African countries. Most of southern African countries and Zambia in particular exhibit the lowest literacy rates and additionally account for half of out-of-school children globally. Despite gradually implemented reforms, these countries still face numerous challenges and do not meet global standards in some instances. Although a good number of articles referring to education in this area has been growing in recent years, few have dealt with quality education at the tertiary level amidst population expansion considering both challenges and opportunities. This area remains fragmented and do not provide a synthetic analysis of the main factors shaping education in the region. This article addresses this gap. Based on an analysis of a selection of existing research evidence, statistics and reports, this study delivers a holistic analysis of education systems in Zambia in the midst of population expansion. In this study of population expansion in relation to education, we have challenges as well as opportunities. This study contributes to a better understanding of Zambian education as one of the critical factors in the social and economic development of Zambia and other parts of Africa.
Copyright (c) 2024 Moses Chirwa https://creativecommons.org/licenses/by/4.0
INTELLIGENT ANOMALY DETECTION IN DISTRIBUTED SYSTEMS VIA DEEP LEARNING
This paper presents a novel framework for intelligent anomaly detection in distributed systems, leveraging deep learning techniques to enhance the identification of anomalies in real-time. As organizations increasingly depend on distributed architectures—such as cloud computing, microservices, and peer-to-peer networks—ensuring the reliability and security of these systems becomes crucial. Anomalies, which signify deviations from expected behavior, can indicate serious issues ranging from system malfunctions to security breaches. Traditional anomaly detection methods often struggle in distributed environments due to their reliance on predefined thresholds and assumptions about data distributions, leading to high rates of false positives and negatives. This study explores the potential of deep learning models, including Convolutional Neural Networks, Recurrent Neural Networks, and Autoencoders, to address these challenges. The proposed framework encompasses data collection, preprocessing, model selection, training, evaluation, and deployment, facilitating systematic anomaly detection while enabling continuous learning. The results indicate that deep learning models significantly outperform traditional methods, demonstrating their ability to capture complex patterns in high-dimensional data. Furthermore, the findings suggest that advancements in deep learning and hybrid approaches could further enhance anomaly detection capabilities across various domains, including finance, healthcare, and cybersecurity. This research contributes to the field by providing a comprehensive methodology for intelligent anomaly detection tailored to the unique challenges of distributed systems, paving the way for more resilient and secure computing environments.
Copyright (c) 2024 Ivy Osei; Kwame Mensah https://creativecommons.org/licenses/by/4.0
THE IMPACT OF CLOUD COMPUTING ON REVENUE CYCLE CONTROLS
The adoption of cloud computing has significantly transformed the landscape of revenue cycle management by improving efficiency, enhancing data accessibility, and strengthening financial controls. This study explores the impact of cloud-based solutions on key revenue cycle controls, including billing accuracy, compliance, fraud prevention, and financial reporting. The findings reveal that cloud computing provides real-time data synchronization, advanced analytics, and automated workflows, leading to reduced errors and improved decision-making processes. Additionally, the scalability and flexibility of cloud platforms enable organizations to adapt quickly to regulatory changes and optimize revenue processes. However, the study also highlights potential challenges, such as data security risks and the need for proper implementation strategies to ensure successful integration. Overall, cloud computing emerges as a critical enabler for enhancing revenue cycle controls and achieving operational excellence in modern business environments.
Copyright (c) 2025 Nada Cuary; Siti Maharani Diandra; Iskandar Muda https://creativecommons.org/licenses/by/4.0
PERSONALIZED STUDENT MODELING VIA HIERARCHICAL BAYESIAN NEURAL NETWORKS WITH CONCEPT GRAPHS
Personalized education systems require sophisticated student modeling approaches that can capture individual learning patterns, knowledge states, and cognitive processes across diverse educational domains. Traditional student modeling techniques struggle to represent the complex relationships between learning concepts while accounting for individual differences in learning progression and knowledge acquisition patterns. The challenge lies in developing models that can simultaneously capture hierarchical knowledge structures, individual learning trajectories, and uncertainty in student knowledge assessment. This study proposes a novel framework that integrates Hierarchical Bayesian Neural Networks (HBNNs) with concept graphs to create comprehensive personalized student models capable of representing both individual learning characteristics and domain knowledge structures. The framework employs probabilistic modeling to capture uncertainty in knowledge assessment while concept graphs provide structured representations of learning dependencies and prerequisite relationships. The hierarchical Bayesian approach enables effective personalization by modeling individual student parameters within broader population distributions while maintaining computational efficiency for real-time educational applications. Experimental evaluation using large-scale educational datasets demonstrates that the proposed framework achieves 34% improvement in knowledge state prediction accuracy compared to traditional student modeling approaches. The integration of concept graphs with Bayesian neural networks results in 42% better performance in learning outcome prediction and 38% improvement in personalized recommendation effectiveness. The framework successfully captures individual learning patterns while maintaining interpretability for educational practitioners and adaptive learning system designers.
Copyright (c) 2025 Fiona Douglas; Peter Grant https://creativecommons.org/licenses/by/4.0
INTERACTIVE INNOVATION OF KNOWLEDGE MANAGEMENT AND INFORMATICS AND ITS PRACTICAL SIGNIFICANCE
Entering the era of knowledge economy, China’s research on library information science and knowledge management is getting more and more in-depth. Knowledge management is a new interdisciplinary management model. At present, the collision and integration with other disciplines are becoming increasingly fierce. The same is true for informatics, this article mainly studies the interactive innovation of knowledge management and informatics and its practical significance.
Copyright (c) 2024 Ching Wong https://creativecommons.org/licenses/by/4.0
RESEARCH ON THE COMPETITIVENESS OF SHISEIDO SKIN CARE PRODUCTS IN CHINESE MARKET
This paper firstly introduces an overview of the development of the Shiseido Group in China, then analyses the external environment of Shiseido in China through the PEST model and uses the SWOT analysis to study the competitiveness of Shiseido's skin care products in the Chinese market. After that, followed by an in-depth understanding of the current problems of Shiseido China, and a detailed analysis and discussion of these problems, and propose feasible solutions to improve the market share of its products, give full play to its own advantages, and seek greater development in the Chinese market. Finally, Some suggestions are given for Chinese skin care enterprises to enter foreign markets through the strategy of Shiseido skin care in China.
Copyright (c) 2023 Mengli Zhu; Yanting Yao; Chenxin Lou; Li Shen; Hongyan Li https://creativecommons.org/licenses/by/4.0
ANALYSIS OF THE L’OREAL GROUP’S MARKETING STRATE
In China's FMCG market, the highly competitive cosmetics industry is one of the hottest areas. As a leading enterprise in the cosmetics industry, L'Oreal Group has a number of well-known brands involved in skincare, hairdressing, perfumery and other fields, such as HR, Kérastase, Giorgio Armani, etc. L'Oreal Group has been in China for more than 20 years, and it has encountered many challenges, but there are also many marketing success stories. In this paper, the macro environment is analyzed by the PEST model. Through the analysis and research of the classic 4P theoretical framework of marketing, it can be found that L'Oreal Group's marketing strategy in the Chinese market is mainly manifested in terms of products, prices, channels and promotions, and puts forward optimization suggestions for L'Oreal's marketing strategy in China: improve e-commerce channels, strengthen the publicity of its local brands, and focus on the showroom phenomenon.
Copyright (c) 2023 Hongyan Li; Siyi Xu; Chenxin Lou; Li Shen; Mengli Zhu https://creativecommons.org/licenses/by/4.0
RESEARCH ON PRACTICE PATH OF IMPROVING THE MANAGEMENT LEVEL OF ENTERPRISES BY SYSTEM
System is the product of economic and social development, the basis for the operation of the country and all social life, and also an effective practice path for enterprises to improve their management level. To some extent, the system construction determines the economic benefits of enterprises and is the key to enterprises' operation and management. This study uses literature research, comparative analysis, systematic analysis and other methods to collect theoretical literature and practical cases related to enterprise management and system construction, analyzes the different effects and influences brought by different enterprises in the management by system, and systematically summarizes the specific practice path of using system to improve the management level of enterprises combined with the author's years of practical experience in enterprise. After careful research and analysis, the author believes that to comprehensively improve the management level of enterprises, firstly it is necessary to sum up experience in practice frequently, and timely accumulate and absorb the effective and practical management methods and practical experience, and then constantly solidify them into enterprise system; Secondly, it is necessary to actively carry out the publicity and implementation of systems, so that the majority of employees and managerial staff at all levels can skillfully use and master the various systems of the enterprise, thereby truly translating enterprise's institutional strengths into effective management; Thirdly, forming regular mechanism of system sorting through continuously sorting and improving the system, and checking and evaluating the implementation of enterprise system in time to avoid loopholes and deficiencies; Fourthly, it is of critical importance to pay special attention to system implementation and improve the mechanism of dynamic monitoring, summary and evaluation during the implementation of systems, so as to ensure the vitality of enterprise system and the scientificity of enterprise management. The research shows that system is an effective practice path for enterprises to improve their management level. It is important to actively strengthen the awareness of system, maintain the authority of system, implement system strictly, and insist on integrating system-based governance into the whole process of enterprise reform and development, thus constantly promoting the modernization of enterprises' system and capacity for governance through summarizing, publicizing, improving and implementing systems.
Copyright (c) 2023 Pengfei Gao https://creativecommons.org/licenses/by/4.0
KNOWLEDGE MANAGEMENT, TALENT MANAGEMENT AND TECHNOLOGICAL INNOVATION COUPLED MODEL ANALYSIS
Through the analysis of the coupling mechanism of knowledge management, talent management and technological innovation, we used a combination of questionnaire survey and Delphi expert discussion to Investigate the technological innovation capabilities of domestic enterprises. On this basis, the enterprise is studied through empirical analysis methods such as factor analysis, correlation analysis and linear regression analysis. The impact of knowledge management and talent management on technological innovation, the specific results are as follows: Knowledge management and talent management form a coupling mechanism with each other, and through each other Integration promotes enterprise technological innovation. Finally, relevant suggestions are put forward to improve the technological innovation capabilities of Chinese enterprises.
Copyright (c) 2023 Jenny Hauck https://creativecommons.org/licenses/by/4.0
KMS KNOWLEDGE SHARING RESEARCH BASED ON MULTIPLE PERSPECTIVES
Based on the perspective of socio-technical systems, research from four levels: personal, social, organizational and technical KMS theoretical model of knowledge sharing and try to find the impact key factors affecting knowledge sharing. Use multiple theoretical perspectives such as social capital theory and cognitive theory to establish a basis for KMS knowledge sharing factor model, using PLS The structural equation pair comes from 97 companies Empirical research on 183 valid samples shows that although variables at all levels have an impact on the dependent variable has a significant role, but social capital has a significant impact on KMS The effect of knowledge sharing is the most significant, followed by the personal, technical and organizational levels respectively. Therefore, the enterprise The industry should focus on cultivating organizational social capital based on comprehensive management measures and utilize Web 2.0 information technology etc. KMS Support employee social capital The development of this book promotes knowledge sharing, and finally summarizes two misunderstandings in knowledge sharing management.
Copyright (c) 2023 Linda Boarman https://creativecommons.org/licenses/by/4.0
RESEARCH ON THE FRAMEWORK OF MODERN DISTANCE EDUCATION KNOWLEDGE MANAGEMENT SYSTEM BASED ON KNOWLEDGE CHAIN
Knowledge management is applied to modern distance education and has become an indispensable management model for the healthy operation of its education system. Currently, knowledge management research presents The situation is complicated and the theoretical systems and views are also different. In order to overcome the shortcomings of too broad research on knowledge management, people have put forward the concept of knowledge chain. concepts, and attribute the core of knowledge management to the management of knowledge chains. This article uses the knowledge chain model as a framework to study knowledge management in distance education. Based on the understanding of the original knowledge chain, a new knowledge chain model was established and the current situation of knowledge management in modern distance education was analyzed. On this basis, proposed the modern far Programming education knowledge management system framework.
Copyright (c) 2023 Guru Strakova https://creativecommons.org/licenses/by/4.0
CONSTRUCTION AND EVALUATION OF KNOWLEDGE MANAGEMENT SYSTEMS FOR GOVERNMENT DECISION-MAKING
Taking the construction of traditional information services in the scientific and technological information industry to knowledge services and management systems for government decision-making (especially strategic decision-making) as an example, this paper proposes regarding the content requirements and functional requirements of the government decision-making knowledge management system, explore the evaluation methods of the system, To promote the application of knowledge management ideas in government decision-making.
Copyright (c) 2023 Rob M. Everett https://creativecommons.org/licenses/by/4.0
GENERATION AND DEVELOPMENT OF EXISTING CIVIL AIR DEFENSE COMMERCIAL FACILITIES IN CHINA
The development of urban underground space in China started from the construction model of civil air defense engineering combined with peacetime and wartime engineering. Since the reform and opening up in 1978, after more than 30 years of accumulation, its holdings have been considerable. During this period, with the development of economy, policy, and technology, four different generations of civil air defense engineering combined with commercial construction models for peacetime and wartime gradually formed. Their design concepts, functional models, usage conditions, development prospects, etc. are quite different. Among them, the first-generation facilities lack the foundation for renovation and will be demolished together with the ground buildings in future urban renewal. The second and third generation civil air defense projects combined with commercial buildings for peacetime and wartime will also enter a transformation period in the next 10 to 20 years. Through the interconnection of underground space, they will become an integral part of the fourth generation civil air defense project combined with peacetime and wartime commercial buildings. The dispersed The collection of spaces becomes a comprehensive network space, thus entering the era of the development of the city's second public space level.
Copyright (c) 2024 HseuhChien Jou https://creativecommons.org/licenses/by/4.0
FACTORS INFLUENCING EDUCATORS’ ENGAGEMENT IN THE SHARING OF EDUCATIONAL KNOWLEDGE IN THE DIGITAL SPHERE
At present, information resources in cyberspace have become an effective supplement for people’s acquisition of real-space knowledge, but their scientificity and authoritativeness need to be discussed. Educators have advantages in the field of knowledge sharing on educational topics, but the participation rate in actual activities is not high. With the help of structural equation model, this article conducts an empirical investigation to explore the influencing factors of educators' participation in public knowledge sharing behavior. It is found that action control cognition has a positive impact on both knowledge sharing intention and behavior stages, and that sense of responsibility and outcome expectations will promote educators' participation in public knowledge sharing. To generate knowledge sharing intention, self-efficacy and pseudoscientific risk perception have no significant impact on knowledge sharing intention, while sharing intention and coping plan will have a positive impact on knowledge sharing behavior. On this basis, it is proposed that to improve the knowledge sharing participation of educators, the sharing platform needs to create a relaxed atmosphere and enhance behavioral control cognition; to improve the education staff's sense of responsibility and performance expectations for knowledge sharing; in the face of hot issues that urgently need to be solved, units still need to overall planning; a shared response plan needs to be made consciously in advance.
Copyright (c) 2024 Mark Engel https://creativecommons.org/licenses/by/4.0
RESEARCH ON INTERNATIONAL LIVE SALES MODE OF HOME TEXTILE PRODUCTS
The rapid development of the Internet economy and new retail economy in the post epidemic era, the continuous improvement of e-commerce platforms and the advancement of live broadcasting technology have paved the way for the development of the international live broadcasting sales mode of home textile products. The mode of selling home textile products on the international live broadcasting platform is an innovative sales method combining live broadcasting technology and e-commerce, which demonstrates the characteristics, quality, uses and advantages of home textile products through the live broadcasting platform, and the anchor can interact in real time with the global audience, answering questions and providing purchasing advice, thus promoting product sales. However, although the international live streaming sales model presents great potential in the home textile products industry, it still faces some challenges and problems in practice. For example, how to choose a suitable live broadcasting platform, design attractive live broadcasting content, improve audience participation and effectively analyse and utilise sales data need to be thoroughly researched and explored. In this paper, we will take the live broadcast conducted by Company A in Alibaba International Station as an example to conduct in-depth research and analysis on the international live broadcast sales model of home textile products, and discuss how to optimise and innovate the international live broadcast sales model.
Copyright (c) 2024 MengLei Chen; BoFan He; XinYu Fang; LiXue Bai; LingXuan Zhao; JiaWei Li; Yao Chen https://creativecommons.org/licenses/by/4.0
EXPLORING THE INFLUENTIAL FACTORS ON INNOVATION PERFORMANCE OF HIGH-TECH ENTERPRISES IN UNIVERSITY-INDUSTRY COOPERATION
University-industry cooperation (UIC) is a key mechanism for businesses in the era of open innovation, providing access to essential complementary resources for the genesis of novel knowledge and the development of breakthrough technologies. This collaboration significantly augments their technological innovation capacity, catalyzing regional economic growth. During his visit to Tsinghua University in April 2021, President Xi Jinping emphasized the need to "boldly overcome the formidable hardles in key core technologies, deepen the synergistic fusion of industry, academia, and research, and promote the transaction of scientific and technological advances into tangible results." The study explores how inter-organizational trust and knowledge management affect the innovation performance (IP) of high-tech firms in UIC. Partial Least Squares Structural Equation Modeling (PLS-SEM) is used for empirical research. Ultimately, a conceptual model is proposed to investigate how different dimensions of trust influence the IP of enterprises in UIC through the mediating role of knowledge management capabilities.
Partial Least Squares Structural Equation Modeling (PLS-SEM)
Copyright (c) 2024 ShengWei Qiu; Choat Inthawongse; Noppadol Amdee https://creativecommons.org/licenses/by/4.0
Public crisis management has always been a hot topic studied by Chinese scholars. The connotation, subject, model of public crisis management, and the construction of public crisis management systems and mechanisms are the aspects that scholars have studied more. There are currently two views on the connotation of public crisis management. One view is that crisis management is the management of emergencies, and the other view is that crisis management is the management of the entire process of public crises. In terms of the subject of crisis management, there are three different views; in terms of research on the model of public crisis management, different scholars manage public crises from the perspective of e-government, knowledge management, and collaborative governance; Finally, in terms of the construction of public crisis management systems and mechanisms, current research by Chinese scholars mainly focuses on various aspects of public crisis management.
Copyright (c) 2024 ChienHsing Lee https://creativecommons.org/licenses/by/4.0
KNOWLEDGE GRAPH ANALYSIS OF SHARING ECONOMY RESEARCH HOT SPOTS AND TRENDS
In order to clearly understand the current research hot spots and future development trends in the field of sharing economy, CiteSpace V information visualization analysis software was used to conduct information mining on the research results of 5491 documents in the field of sharing economy from 2008 to 2017 in the Web of Science database. From three aspects: annual distribution of literature, keyword co-occurrence network, and research time zone trends, charts and knowledge maps are drawn to sort out the research context and intuitively reveal the research hot spots and future development trends of the sharing economy. The results of the research analysis show that the number of research documents on the sharing economy has gradually increased every year from 2008 to 2017; the research hotspots of the sharing economy can be divided into three levels: macroeconomics, national policy, and environmental protection. The research hotspots of the sharing economy mainly include model, consumption, optimization, sustainability, energy, etc.; the future research trend of the sharing economy is the study of greenhouse gas emissions.
Copyright (c) 2024 Diana ElKattan https://creativecommons.org/licenses/by/4.0
ANALYSIS OF THE STATUS AND DEVELOPMENT OF TENCENT GAME IN THE INTERNATIONAL MARKET
This paper takes online games as the research subject and Tencent games as the research object to investigate and analyze its overseas distribution and operation strategy. And Tencent games as a reference system, summed up the experience of Chinese games in the world, problems and deficiencies. The purpose of this paper has two aspects: one is to study the current situation of Tencent games' overseas dissemination, and try to summarize effective overseas game publishing and operation strategies, so as to provide overseas exploration paths for the game industry, which has become an important part of Chinese society, culture and entertainment. Second, it is committed to combining the operation strategy of overseas release of games with cross-cultural communication, trying to explore ways to tell good Chinese stories and "go global" Chinese culture on the basis of game communication. The first chapter of this paper is a research review, which mainly expounds the research background, research significance, research content, literature review and research methods of Tencent games' overseas market development status and development analysis. The second chapter mainly uses SWOT analysis method to study the current situation of Tencent games' overseas market development. The third and fourth chapters are the development problems and countermeasures of Tencent games. The fifth chapter is the summary, summarizing the significance of Tencent games for other game enterprises.
Game overseas distribution and operation
Copyright (c) 2023 Li Shen; Peipei Zhang; Mengli Zhu; Chenxin Lou; Hongyan Li https://creativecommons.org/licenses/by/4.0
ANALYSIS OF LV’S MARKETING STRATEGY IN CHINA
With the development of China's economy and the improvement of people's living standards, the Chinese mainland market has gradually become an important strategic market for foreign luxury brands.Therefore, this paper selects LV, a world-famous luxury brand, as the research object, and studies the macro environment and micro environment of LV's marketing in China on the basis of analyzing the current situation of LV's marketing in China.It also analyzes the dilemmas faced by LV's marketing strategy in China and puts forward targeted suggestions.It is hoped that the writing of this paper will play a role in promoting the marketing of domestic luxury brands.
Copyright (c) 2023 Chenxin Lou; Peipei Zhang; Mengli Zhu; Li Shen; Hongyan Li https://creativecommons.org/licenses/by/4.0