Volume 11
Published on October 2024This paper aims to explore the impact of ESG (Environmental, Social, and Governance) information transparency on corporate performance, with a particular focus on its mediating effect in corporate governance and the fulfillment of social responsibilities. Through an in-depth analysis, this study seeks to reveal how ESG information transparency enhances corporate governance and social responsibility, ultimately influencing financial performance and market value. A quantitative research approach is adopted, selecting several listed companies as samples and collecting their ESG reports and financial data. By constructing a model, the relationships between ESG information transparency, corporate governance, social responsibility fulfillment, and overall corporate performance are analyzed. Data sources include corporate annual reports, ESG reports, and relevant databases. Path analysis and mediation effect tests are employed to ensure the reliability and validity of the research results. This study not only examines the mediating effect of ESG information transparency on corporate performance but also delves into the moderating roles of corporate governance and social responsibility fulfillment. The findings provide essential theoretical support for companies formulating ESG strategies and offer substantial references for policymakers and investors.
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Consumer ambivalence not only reflects the emotional and cognitive responses formed after perceiving external marketing stimuli but also influences subsequent purchase intentions. Based on the TAM (Technology Acceptance Model) and S-O-R (Stimulus-Organism-Response) models, this study introduces ambivalent attitudes as a mediating variable to construct and test a theoretical model of external marketing stimuli, consumer perception, ambivalent attitudes, and purchase intentions. Using 716 valid responses from gaming communities, the measurement and structural models were evaluated using AMOS 26.0 and SPSS 26.0 software. The empirical results show that the clarity and total volume of external marketing information can significantly influence purchase intentions by affecting consumer perceptions. Ambivalent attitudes directly influence purchase intentions and serve as a mediating factor in the pathways where perceptions affect purchase intentions.
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Big data and artificial intelligence (AI) are the buzzwords of the moment in business decision-making. In this paper, I will show how predictive analytics, real-time data processing and natural language processing (NLP) are key strategies that allow businesses to optimise their operations and customer interaction. Moreover, through this paper I will present some of the challenges involved in the adoption of AI, such as the ethical and legal questions about data privacy, as well as the real problem of integrating AI systems within legacy business models. Furthermore, future trends in AI will be presented, such as the advances in quantum computing and the rise of so-called autonomous AI systems, that will define the future of decision-making in logistics, finance and a variety of other sectors. Overall, by addressing both the strategic advantages and the pitfalls involved in the adoption of AI based on some real business cases, this paper will provide a complete picture of what AI and big data can bring to decision-making as a tool for business success. This topic is of paramount importance as these technologies have not only brought a new wave of innovation but are also increasing the importance of human oversight of AI systems.
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In the context of the profound integration of big data, artificial intelligence technologies, and industries, both data resources and digital technologies became crucial pillars supporting the development of industrial innovation. They played key roles in enhancing the innovation capabilities of industries. In this regard, the present study employed the specific case of the intelligent brain of the Taizhou Machine Tool Industry. Utilizing grounded theory, the research integrated relevant data through coding analysis and category extraction to construct a comprehensive theoretical model of the intrinsic mechanisms driving industrial innovation through data empowerment. The study revealed that the realization of data-empowered industrial innovation followed a logical path of 'data resource services – data capability spillover – industrial innovation achievement.' Specifically, data empowerment operated across three dimensions: industrial resources, production, and ecology, effectively propelling the realization of industrial innovation. From a systematic perspective, this research analyzed the intrinsic mechanisms of data-empowered industrial innovation, deepening the theoretical understanding of industrial innovation. In the context of past industrial digitization transformation, these findings provided valuable insights for guiding industrial innovation development.
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Southwest China's weak economic development has been the focus of China's rural revitalization strategy; exploring the impact of implementing an agricultural machinery purchase subsidy policy can impetus the economic development of Southwest China. Since its introduction in 2004, the policy of subsidizing the purchase of agricultural machinery has been mainly used to support the purchase of advanced and applicable agricultural machinery. The implementation of this policy has promoted China's socioeconomic development and, until now, has been an indispensable supportive policy in the rural revitalization strategy. As the province with the most poverty-reducing people in the country, Guizhou's achievements cannot be attributed to the conscientious implementation of the central government's decisions and deployments. However, Guizhou's practice of subsidizing the purchase of agricultural machinery also requires improvement. The Smith Model is the theoretical framework for this research. This paper lists the problem Guizhou's agricultural machinery purchase subsidy policy needs to fix with stakeholder analysis. It then uses the Smith Model to look into the reasons for the "irrational agricultural machinery structure" gap in Guizhou's application of the agricultural machinery purchase subsidy policy and makes suggestions for how to make things better. This study's main contribution is to enrich existing literature by analyzing Guizhou's policy implication in addressing the problem of insufficient production of agricultural machinery and providing a direction for the future implementation of Guizhou's agricultural machinery purchase subsidy policy.
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This paper presents a comprehensive analysis of the project management strategies employed during the development of Shanghai Disneyland. It utilizes three key analytical tools: PESTLE, SWOT, and Fishbone Diagram, to assess various aspects of the project. The PESTLE analysis evaluates the external environment, including political, economic, social, technological, legal, and environmental factors, which influenced the park's successful completion. The SWOT analysis identifies the project's internal strengths and weaknesses, as well as the external opportunities and threats it faced. Additionally, the Fishbone Diagram highlights critical challenges, such as financing, technology, and localization, that contributed to delays in project progress. The findings of this study demonstrate how effective project management, supported by government partnerships and market demand, facilitated Shanghai Disneyland's establishment as a globally significant theme park. However, the paper also underscores the importance of addressing localization and financial sustainability to ensure long-term success. The analysis provides valuable insights into managing large-scale, culturally complex projects.
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This essay opens with an in-depth discussion of the growing importance of ESG concepts in modern corporate management and highlights their significant role in promoting long-term corporate value creation. With the increasing global focus on sustainability, ESG concepts have become an integral part of corporate strategic planning and operational decision-making. Next, this article selects the global retail giant Walmart as a case study and uses SWOT analysis and other management tools to analyse in detail how Walmart has effectively constructed and consolidated its competitive advantages in the highly competitive market through the implementation of an active ESG strategy. The article specifically describes Walmart's practices on several ESG dimensions, including but not limited to the implementation of environmental protection measures, active support to the community, the enhancement of employee welfare, and the optimisation of corporate governance structure. In terms of environmental protection, Walmart has significantly reduced the environmental impact of its operations through measures such as reducing carbon emissions, improving energy efficiency and promoting sustainable products. In terms of community support, the company has strengthened its ties with local communities and enhanced its brand image through various community programmes and charitable activities. Employee well-being has been achieved through improved working conditions and career development opportunities, which have not only increased employee satisfaction but also enhanced the company's attractiveness. The article concludes by summarising the important contribution of Walmart's ESG practices to the company's sustainability and long-term competitive advantage and suggests possible future strategic directions and recommendations for Walmart in ESG based on current market trends and company performance. These recommendations are intended to provide valuable references and insights for Walmart and other companies in their future strategic planning and decision-making processes, especially in terms of how to balance economic efficiency and social responsibility to achieve long-term sustainable development. However, due to the limitation of data and the depth of research on Walmart ESG, the article still has limitations.
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Under the background of the digital economy, the research on the optimization path of strategic cost management for enterprises is particularly important. This paper discusses key paths such as data-driven cost management systems, intelligent cost control, and collaborative cost management, revealing the profound impact of the digital economy on corporate cost management and proposing a series of optimization strategies. The data-driven cost management system requires enterprises to establish comprehensive data collection and analysis mechanisms, using big data and advanced analytical tools to achieve real-time monitoring and dynamic analysis of costs. This not only improves the accuracy of cost management but also enhances the enterprise's ability to respond to market changes. Secondly, the implementation of intelligent cost control, through automated and predictive cost management, enables enterprises to more effectively control and predict cost changes, thereby improving the efficiency of resource allocation and the quality of cost management decisions. Furthermore, the development of collaborative cost management emphasizes the synergy between internal departments of enterprises and with external partners. By breaking down information silos and promoting resource sharing and business collaboration, enterprises can achieve cost optimization throughout the entire value chain.
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The rising urgency to address climate change has positioned electric vehicles (EVs) as a critical solution for achieving the United Nations' net-zero carbon emission targets. As human activities increase greenhouse gas emissions, the average global temperature continues to rise, leading to severe natural disasters in many regions. This situation underscores the urgent need to limit pollutant emissions and pursue sustainable resource management. This study analyzes the global EV market's trajectory towards sustainability, focusing on the interplay of policy frameworks and consumer engagement strategies in major EV markets, including the USA, the European Union, and China. The transition to EVs must be considered in conjunction with policy frameworks and the broader social environment. Using mixed methods and statistical models, we assess how different policies influence EV adoption and their alignment with sustainability goals. As the concept of sustainable development becomes more ingrained in society, it is promising that, through sustained policy implementation and resource development, the shift from ICE vehicles to EVs will make a crucial contribution to reducing carbon emissions. The findings provide actionable insights for optimizing policies and refining marketing strategies, offering a comprehensive blueprint for guiding the global EV market towards a sustainable future.
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Technological development in the field of finance (FinTech) has sprouted and scaled up rapidly, disrupting the traditional banking system. The rise of new platforms allowing P2P lending and mobile payments has changed the way where and how people receive financial services by replacing professionally-managed financial intermediaries aka banks. This paper explores how P2P lending has enabled decentralised financing by providing flexible loans to borrowers, higher returns to lenders, and alternative credit-scoring methods to assess borrowers’ credibility. The subsequent development and recent widespread use of mobile payments have brought about transformative changes in finance where users can make payments without using physical cash or relying on banking infrastructure altogether. The combination of these technologies is providing inclusive finance by allowing unbanked and underbanked populations access to necessary financial services. This paper further delves into the challenges emerging from both these innovations, such as assessment of risks, security issues and regulatory uncertainty. The paper concludes by emphasising that new technology-based lending and payments have the potential to foster inclusive economic growth in rural, remote and low-income regions of the world, and by highlighting the challenges that needs to be tackled for FinTech to succeed.
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