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Abstract
The rapid development of digital economy is reshaping the human resource management mode of enterprises, making it transform to the direction of data-driven, intelligent and efficient.Based on the background of digital economy, this paper discusses the innovation path of enterprise human resource management, analyzes the digital practice of current enterprises in recruitment, performance management, salary incentive, training system and so on, and reveals the concrete application and effect of different types of enterprises in the digital transformation of human resource management through case studies of Internet enterprises and manufacturing enterprises.The study found that digital technologies such as big data, artificial intelligence ...
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IntroductionThe rapid development of digital economy is profoundly changing the management mode and operation mode of enterprises.Driven by technologies such as artificial intelligence, big data, cloud computing and blockchain, enterprises have gradually realized digital transformation, which not only optimizes production processes, but also greatly affects human resource management models.Traditional human resource management mainly depends on manual experience and offline operation, which is difficult to meet the needs of enterprises for efficient, accurate and intelligent management in digital economy environment.Under this background, the digital transformation of human resource management has become the key to enhance the core competitiveness of enterprises.The Theoretical Basis ...
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The rapid development of new-generation information technologies (such as cloud computing, big data, artificial intelligence, etc.) has profoundly promoted the digital transformation of national management, social development, and enterprise operations. Enterprise digital transformation is centered around data, prompting changes in organizational models, governance models, management processes, business models, etc., to achieve improvements in innovation, efficiency, quality, and cost. This paper aims to explore the impact of digitalization of tax collection and administration on enterprise financial management behaviors and propose strategies for enterprises to respond.
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IntroductionIn recent years, the rapid development of new-generation information technologies such as cloud computing, big data, artificial intelligence, the Internet of Things, virtual reality and blockchain has had a profound impact on modern society. It not only promotes the digital transformation of national management and social development, but also drives the digital and intelligent transformation of enterprises, becoming the main driving force for social transformation (Kraus, 2021)[1]. Enterprise digital transformation takes data as a key element, prompting changes in various aspects such as organizational model, governance model, management process, business model, operation model, business model, corporate culture and corporate leadership, and ...
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... "double-carbon" strategy of enterprises at home and abroad, defines the connotation and characteristics of green accounting system under the goal of "double-carbon," and then puts forward the construction path of green accounting system of enterprises, including green accounting system, management system and information disclosure system; At the same time, it has constructed an indicator system covering environmental performance, economic performance, social benefit and management efficiency, and conducted case empirical analysis using analytic hierarchy process and fuzzy comprehensive evaluation method, which proves the practical value of green accounting system construction and provides reference for enterprises to promote the implementation of "double-carbon" target.
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... national "double-carbon" strategy, which has significant theoretical and practical significance.References[1]Wei D ,Liang L ,Chunyi L , et al.Evaluation of the Application Effect of Streaming Media Technology in College English Teaching[J].International Journal of Web-Based Learning and Teaching Technologies （IJWLTT）,2025,20（1）:1-15.[2]Yulu W ,Shenji G .Harmonizing the Digital Economy and Green Development: Challenges, Strategies and Pathways to Achieve the Double-Carbon Goal[J].Journal of Economics and Management Sciences,2024,7（3）:p56-p56.[3]Zhao R ,Mou Y ,Yu X .Analysis of the moderating effects of environmental regulations on green accounting information disclosure and financial performance of heavily polluting enterprises[J].Finance Research Letters,2025,72106493-106493.[4]Shaizy K ,Seema G .The interplay of sustainability, corporate green accounting and firm ...
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This article takes clothing manufacturing enterprises in Fujian Province as the research object, based on resource conservation theory and social exchange theory, constructs a correlation model between emotional intelligence, dedication, work life balance, and work performance, and explores the mechanism of happiness plan on employee performance improvement. Through questionnaire surveys and structural equation modeling analysis, it was found that emotional intelligence has a positive impact on job dedication and performance; The role of emotional intelligence in mediating job performance through the degree of dedication; Work life balance regulates the relationship between dedication and job performance, and has a positive moderating effect ...
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IntroductionAs an important textile and clothing industry base in China, Fujian Province's clothing manufacturing enterprises are mainly labor-intensive, and employees face problems such as high-intensity work pace and low professional identity. Under the trend of "people-oriented" management, how to improve employee performance through happiness plans has become a focus of attention for enterprises. This article is based on the Conservation of Resources Theory and Social Exchange Theory to explore the impact mechanism of Emotional Intelligence (EI), Engagement, and Work Life Balance (WLB) on Job Performance (JP), providing theoretical support for optimizing human resource management in clothing manufacturing enterprises in Fujian Province.[1-3]1.Literature ...
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With the rapid development of digital economy and the wide application of social media, social media data has become an important resource in the digital economy era. Social media data provides new opportunities and challenges with the characteristics of large data volume, fast update speed, diverse types, high authenticity and timeliness for the development of digital economy. Social media data is of great value in insight into users' behavior preferences, mining hot social public opinions, and analyzing industry dynamics. Rational development and utilization of social media data is of great significance to assisting precision marketing, serving public governance decision-making, and guiding ...
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IntroductionIntroduction to digital economy is digital knowledge and information as the key factor of production, digital technology innovation as the core driving force, with modern information network as an important carrier, through the digital technology and the real economy depth fusion, constantly improve the level of economic and social digital, network, intelligent of a series of economic activities. As well as an important platform for daily communication and xuanshuqianyan information sharing, social media provides massive, diverse and dynamic data resources for the development of the digital economy. In the digital economy era, social media data has become xuanshuqianyanan important data source ...
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With the deepening of digital transformation, artificial intelligence (AI) is increasingly used in customer relationship management (CRM). The purpose of this paper is to explore how AI can drive enterprises to achieve strategic advantages in the process of digital transformation by improving CRM efficiency, optimising customer experience, and enhancing customer loyalty. The application of AI in customer service, such as intelligent customer service and personalised recommendations, has significantly improved the responsiveness and accuracy of customer service. Through big data analysis, AI helps enterprises to deeply explore customer needs, provide personalised services and precise marketing strategies, and enhance customer satisfaction and loyalty.
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IntroductoryWith the continuous development of information technology, digital transformation has become an important trend in the development of global enterprises. Especially driven by technologies such as the Internet, the Internet of Things, and cloud computing, digital transformation has not only reshaped the production and operation modes of enterprises, but also profoundly changed the way of customer service, sales and management. Against this backdrop, technologies such as Big Data and Artificial Intelligence (AI) have become key tools to drive enterprise innovation and enhance competitiveness. Digital transformation enables enterprises to make use of massive data for analysis and decision-making in the course of ...
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How to effectively utilize digital technology to enhance firm performance has become an important issue for firms in the digital intelligence era.Based on resource orchestration theory and organizational unlearning theory,the mechanism of the impact of digital technology availability on enterprise performance,as well as the mediating role of organizational resilience and the moderating effect of organizational unlearning are empirically analyzed through survey data of 302 small and medium-sized enterprises (SMEs).The results show that digital technology affordance (cumulative affordance,variation affordance) has a positive effect on firms' performance;organizational resilience has a mediating role between digital technology affordance and firms' performance,and organizational unlearning positively moderates ...
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Based on the theory of value co-creation, this paper discusses the new connotation and system construction path of enterprise performance management in the context of the digital era. The study points out that the traditional enterprise-centered value creation model is difficult to adapt to the market demand, while the value co-creation theory emphasizes the co-creation of value between enterprises and consumers, which provides a new perspective for performance management. The paper elaborates the connotation of enterprise performance management from three levels: long-term value orientation of consumer collaboration, data-driven decision-making with consumer participation, and regular feedback mechanism of consumer evaluation, and proposes ...
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Under the background of all-round acceleration of digital economy, enterprise financial accounting is facing an important transformation from traditional accounting function to digital, intelligent and strategic management.This paper focuses on the "Research on the Path and Strategy of Digital Transformation of Enterprise Financial Accounting in the Era of Digital Economy," systematically combs the technical characteristics of digital economy and its reshaping of financial functions, and discusses the feasible path of financial digitalization from the aspects of infrastructure construction, business process optimization, data-driven decision-making, internal control and compliance mechanism, talent organization reconstruction, etc.At the same time, five strategic implementation suggestions are put ...
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This study examines the role of cybersecurity in precision marketing and its impact on business performance.The study found that cybersecurity capabilities significantly improve the effectiveness of precision marketing, and further promote the growth of enterprise performance by optimizing marketing activities.Specifically, cybersecurity can increase consumer trust in the enterprise, thus enhancing the effectiveness of precision marketing.The effect of precision marketing plays an intermediary role between network security and enterprise performance.The study also finds that the relationship between network security and marketing effectiveness varies among industries and enterprise sizes, and enterprises with larger enterprise sizes and industries with higher data dependence are more ...
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... leaders capable of transforming cultural conflicts into innovation catalysts within multinational teams. While cultural diversity enhances innovation potential by 40%, it introduces operational inefficiencies (19–27% productivity loss). Addressing limitations in traditional conflict models—oversimplified cultural dynamics and Western-centric measurement biases—this study proposes a contingency framework integrating culturally intelligent leadership and digital tools to convert tensions into performance gains. Drawing on longitudinal data from 52 multinational projects (2019–2024) through NLP communication analysis, HR records, and patent correlations, we identify three intervention pathways: 1.Behavioral scaffolding via cultural buffer roles improves R&D efficiency by 31%. 2.Motorial priming using gamified cultural intelligence (CQ) reduces conflict resolution ...
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We collect accounting data from Ping An Bank (PAB) and Citigroup (CITI) and compare their financial dates and performance from year of 2013 to 2022. Through comparison, we summarized the characteristics and differences of the two banks.By exploring these economic data, we hope to work out some rules of Ping An Bank (PAB) and Citigroup (CITI) operation in the past ten years and sum up some experience, so as to help put forward relevant suggestions and let ourselves better understand the development of banking and finance.
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This study explores how multinational companies (MNEs) align sustainable business practices with Environmental, Social, and Governance (ESG) compliance to ensure long-term financial success. Through qualitative interviews with top executives of five MNCs, the research identifies some of the most important strategies that include carbon emissions reduction through renewable energy, diversity and inclusion initiatives, and governance reporting transparency. Findings indicate ESG adoption not only enhances profitability and resilience, as well as brand reputation and stakeholder trust, but also supports resilience and profitability. Despite challenges such as regulatory divergence and technological constraints, proactive change management and strategic innovation provide feasible options for...
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... and green patent output is tested through fixed effects.The results show that green fiscal expenditure has a significant positive role in promoting green economy and technological innovation, while green tax policy has limited incentive effect in some areas, even has marginal negative effect, which reflects the insufficient matching degree between current tax incentive mechanism and actual behavior of enterprises.Based on the analysis of fiscal expenditure structure, performance mechanism and regional coordination, this paper proposes that we should optimize the allocation structure of fiscal funds, perfect the design of green tax system, and establish a performance-oriented central and local fiscal coordination mechanism.
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This study aims to explore the moderating role of big data applications in the impact of enterprise service quality on financing service satisfaction.Through descriptive statistics, variable correlation analysis and regression analysis of sample enterprises, it is found that the reliability and responsiveness of enterprise service quality have significant positive effects on financing service satisfaction, which verifies that the improvement of enterprise service quality can effectively improve financing service satisfaction.At the same time, regression analysis with interaction term shows that big data application plays a positive role in the relationship between them.The research results enrich relevant theories and have significant implications...
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... potential of enterprises, thus optimizing the financing decision-making process and improving the efficiency and quality of financing services.On the other hand, it also makes enterprises face a more complex and changeable financing market environment, and customers 'requirements for financing services are also increasing.Literature reviewBig data application related researchIn today's digital age, the application of big data in the financial sector has become a key driver of industry development.From the application status quo, big data technology, with its powerful data processing and analysis capabilities, has widely penetrated into all aspects of financial business.In terms of risk assessment, financial institutions use big data ...
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This paper explores the theoretical potential of low-carbon economics and discusses the driving force of technological progress on the path of green and low-carbon development. It adopts an empirical model construction method system to analyze the influence mechanism and action mechanism of technological innovation on the green and low-carbon development model. This analysis screens the research objects based on relevant data indicators and conducts a detailed study using multiple regression analysis methods. The empirical research confirms that technological progress has a significant positive driving force for green and low-carbon development. The experimental results illustrate that the adoption of innovative technologies...
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... manufacturing processes, can effectively reduce the impact of carbon emissions during the production operation stage. Several steel giants have adopted carbon capture and storage technology to capture and geologically store the carbon dioxide emitted during the production process, greatly reducing the emission level of carbon dioxide.The innovative application of digital technology has played a key role in improving key efficiency. Relying on big data and artificial intelligence technology, it can achieve precise energy management and optimized configuration, significantly improving the effectiveness of energy utilization. By sorting out and looking forward to the innovation achievements in the transportation technology field and the ...
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With the advancement of digital transformation, the role of big data analytics in the optimisation of enterprise marketing strategies is becoming increasingly important. This study examines how big data analytics can optimise marketing strategies and improve decision-making efficiency in different industries. Through the analysis of several case studies, it is found that big data helps enterprises achieve accurate customer segmentation, demand forecasting, competitor monitoring, and marketing effectiveness evaluation. The study shows that enterprises can increase customer conversion rates, reduce churn rates, and optimise resource allocation through real-time market trend analysis through big data analytics. However, in implementing big data analytics, enterprises ...
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