Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences

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Volume Info.

  • Title

    Proceedings of the 2nd International Conference on Management Research and Economic Development

    Conference Date






    978-1-83558-475-0 (Print)

    978-1-83558-476-7 (Online)

    Published Date



    Ursula Faura-Martínez, University of Murcia


  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241918

    Production Location Selecting and Subsequent Production Decision Making for Sport Obermeyer

    This paper revolved around two core research issues: production location selection and subsequent production decisions. The aim of the study was to provide a detailed analysis of Sport Obermeyer's data from 1992 to 1995 in a new way, hoping to assist companies facing similar challenges. The paper took Cost, Quality, Lead time and Minimum order quantity as bridges to the four main factors affecting the choice of production location. It detailed the advantages and disadvantages of the two production locations: Hong Kong and China. Then, with the aid of the Newsvendor model, the mismatch cost ratio for the 10 styles was determined. Ultimately, using the coefficient of variance for comparison and confirmation of the mismatch cost ratio results, the paper helped Sport Obermeyer analyze which styles of parkas had low-risk and low-uncertainty demand, and which had high-risk and high-uncertainty. The paper then combined the characteristics of the two production locations and assisted Sport Obermeyer in making subsequent production decisions. Five styles of parkas suitable for production in China and five styles suitable for production in Hong Kong were identified, ensuring stable profits and deliveries for Sport Obermeyer.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241915

    Trend Analysis of Enterprise Intelligent Financial Applications

    Recently, intelligent financial applications have been regarded as an important pillar of enterprise development and will play a significant contribution to the progress of future enterprises. Enterprises need to make continuous progress and adapt to the rapidly changing social environment with high competitiveness, and finance, as an indispensable part of enterprise development, needs to make great progress. With the continuous development of digital transformation, intelligent finance has become an important driving force for enterprise development, and is widely used in information processing, personnel management, market analysis, business management, etc. The purpose of this paper is to explore the sustainable impact of intelligent finance on enterprise development, including the application of financial intelligence, financial shared development, data analysis and management, etc., and comprehensively sort, analyze and summarize the relevant research through the method of literature review. In addition, it provides reasonable suggestions for the future development direction of enterprise finance, so that enterprises can gain competitive advantages from intelligent financial applications, improve company efficiency, and achieve good and long-term development.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241913

    Navigating the Nexus of Urbanization, Technology, and Global Economics in Real Estate Market Dynamics

    This article provides a comprehensive analysis of the key factors shaping real estate markets, focusing on urbanization trends, technological advancements, and global economic shifts. Urban migration is fueling demand in metropolitan areas, leading to significant infrastructural developments and a reevaluation of property values. Concurrently, technological innovations like artificial intelligence, virtual reality, and blockchain are transforming real estate transactions and management, enhancing market efficiency and transparency. Additionally, the paper examines the impact of global economic conditions, including trade wars and policy changes, on real estate investment and market stability. By integrating these elements, the article forecasts potential market trends and offers strategic insights for navigating the complexities of the real estate sector. This synthesis not only highlights current influences but also projects future changes in the landscape of real estate, suggesting adaptive strategies for industry stakeholders.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241904

    The Influence of RMB Settlement Globalization on the Political and Economic Evolution of Singapore Amidst US-China Rivalry

    At the dawn of the 21st century, the ascending comprehensive national strength of China has significantly bolstered the role of the RMB in global economic transactions, thereby expediting its international settlement globalization. This development, unfolding within the framework of an increasingly interconnected global economy, profoundly impacts Singapore. Positioned as a crucial trading partner and geographical neighbor to China, while simultaneously serving as a vital security ally of the United States in Asia, Singapore's political and economic landscapes are witnessing transformative shifts. This paper endeavors to meticulously examine and elucidate the specific impacts of RMB settlement globalization on Singapore's political and economic dimensions. Moreover, it aims to explore the potential challenges and opportunities that these impacts may engender for Singapore in the near future, particularly against the backdrop of the US-China competition. The analysis of how the global proliferation of RMB settlement is reshaping Singapore, alongside the nature and direction of this influence amid the strategic rivalry between the US and China, is of paramount importance. It provides deep insights into the evolution of the global political-economic order and assists in formulating strategies for middle-tier nations like Singapore within the changing regional dynamics. By offering a detailed understanding of these developments, this study acts as an essential guide for navigating crises, capitalizing on developmental opportunities, and actively participating in regional affairs.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241905

    The Impact of Digital Currency Policies on International Trade and Investment

    This paper examines the multifaceted impact of digital currencies on regulatory frameworks, cross-border transaction efficiency, and their integration into mainstream financial systems. Through an in-depth analysis of global policy landscapes, compliance challenges, market stability implications, and the burgeoning role of Central Bank Digital Currencies (CBDCs), we uncover the dynamics shaping the future of digital finance. Employing statistical analysis, econometric models, and case studies, we explore the reduction in transaction costs, increased speed and accessibility, and the security concerns associated with digital currencies. Furthermore, we analyze the trends in digital currency adoption and the potential for their integration with traditional financial systems. Our findings highlight the complex interplay between technological advancements and regulatory strategies, offering insights into the opportunities and challenges digital currencies present for the global economy.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241906

    Exploring the Impact of Social Media Usage on Employee Performance: A Study at KPMG

    In the era of global informatization, the proliferation of social media has significantly expanded its user base and application scope. Enterprises are increasingly incorporating social media training for employees to harness its potential in the workplace. This paper investigates the relationship between employees' social media usage and their performance by analyzing existing literature and conducting empirical research at KPMG. Utilizing SPSS26.0 software, descriptive, correlation, and regression analyses were performed on collected data to construct a questionnaire. The study identifies that internal social media usage duration positively influences task and innovation performance, while both internal and public social media usage frequency enhances task, relationship, and innovation performance. However, the duration of public social media platform usage shows no significant impact on work performance. The findings provide insights for adjusting social media usage policies and methods post-epidemic to enhance individual and organizational performance. Lastly, the paper suggests avenues for future research considering current data and analysis limitations.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241910

    Do Cryptocurrencies Offer Benefits or New Challenges?

    Cryptocurrencies have been controversial since their inception, and today there are more than a hundred types of cryptocurrencies. People can trade freely without the control of any person or organization. After a period of development, cryptocurrencies already have a large number of users. The high rate of return also makes people more accepting of cryptocurrencies. However, cryptocurrencies still have many problems. For example, there is a serious conflict between the infrastructure and philosophy of cryptocurrencies and traditional monetary systems. This article identifies the impact cryptocurrencies have on individuals, governments, and the environment. What benefits cryptocurrencies offer and what challenges they face are discussed from different perspectives. This article discusses these controversial points in detail, points out the possible future development trends of cryptocurrencies, and gives relevant recommendations in this regard.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241908

    Integrating Advanced Technologies in Financial Risk Management: A Comprehensive Analysis

    This paper delves into the pivotal role of advanced technologies in enhancing financial risk management across various domains, including credit risk, market risk, operational risk, and liquidity risk. It meticulously explores the application of machine learning (ML) algorithms and artificial intelligence (AI) in developing sophisticated risk assessment models, portfolio diversification strategies, and regulatory compliance mechanisms, which collectively surpass traditional methodologies in accuracy, efficiency, and predictive power. Through a detailed examination of enhanced Value at Risk (VaR) models, dynamic hedging strategies, and the impact of geopolitical events on market risk, alongside innovative approaches to operational risk mitigation and liquidity planning, this study underscores the transformative potential of technological advancements in financial risk management. It highlights how these technologies facilitate real-time analysis, predictive modeling, and strategic planning, significantly contributing to the resilience and stability of financial institutions in the face of evolving risks and regulatory requirements.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241909

    Organizational Strategic Navigation in a Dynamic Environment: Insights into Market Competition, Technological Change, and Policy Dynamics

    In today's rapidly evolving business landscape, organizations encounter a myriad of challenges that stem from intense market competition, swift technological advancements, and the intricate web of regulatory complexities. This article delves deep into the strategic approaches employed by firms to navigate these hurdles, with a special focus on essential areas such as market positioning, brand development, technological innovation, digital transformation, legal compliance, and policy adaptability. Through a detailed investigation and analysis, this study uncovers the profound effects of market dynamics, technological disruptions, and policy uncertainties on the practices of strategic management. It meticulously examines how organizations adapt to the fast-paced changes in the environment, leverage technology for competitive advantage, and ensure compliance with evolving regulations. Furthermore, the article discusses the importance of strategic flexibility and the ability to swiftly respond to market and technological shifts. By shedding light on these critical aspects, the study aims to enrich the understanding of strategic management in the modern business era, providing valuable insights for academics, practitioners, and policymakers alike. This comprehensive exploration underscores the need for an agile, forward-thinking approach in formulating strategies that can withstand the pressures of today's dynamic business environment.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241907

    Enhancing Energy Management in New Energy Vehicles and Energy Storage Systems Through Advanced Data Analysis and Machine Learning

    This paper explores the pivotal role of data analysis and machine learning in advancing energy management strategies for New Energy Vehicles (NEVs) and Energy Storage Systems (ESS). Focused on the comprehensive journey from data collection and preprocessing to the application of dynamic programming, reinforcement learning, and genetic algorithms, our study underscores the transformational impact of these technologies on optimizing energy utilization and prolonging battery life. Initial stages involve meticulous data gathering and preprocessing to ensure the quality and usability of information derived from operational parameters. Subsequently, feature selection and engineering refine this data into meaningful insights, laying the groundwork for predictive modeling. These models forecast energy demands and system behavior, facilitating proactive maintenance and system efficiency improvements. We delve into optimization strategies, highlighting dynamic programming's role in decision-making, reinforcement learning's adaptability to environmental changes, and genetic algorithms' exploration of optimal charging/discharging strategies. These methodologies collectively contribute to sustainable energy practices and resource conservation, marking significant advancements in the field. The integration of machine learning not only enhances predictive maintenance and charging protocol optimization but also addresses challenges related to data scarcity, model generalizability, and interpretability. This paper provides a comprehensive analysis of current methodologies and future prospects, advocating for a multidisciplinary approach to further enrich the research landscape in energy management for NEVs and ESS.

  • Open Access | Article 2024-06-10 Doi: 10.54254/2754-1169/89/20241912

    Ethical IT Decision Making and Data Governance

    This paper explores the importance of data governance in influencing ethical decision-making in the context of information technology (IT). Data governance is used as a management technique to ensure the quality of organisational data by establishing and implementing policies, procedures and standards. Three main types of data governance are discussed: silo-oriented data governance, functional data governance, and platform data governance. The impact of each type on ethical IT decision-making is analysed, highlighting the challenges and benefits associated with each approach. Ethical IT decision-making hinges on robust data governance. Silo-oriented governance fosters fragmentation, conflicting standards, and security vulnerabilities. Functional Data Governance tailors policies to departments, enhancing accountability and risk mitigation but may lack unified ethics. Platform Data Governance builds on this, ensuring clearer accountability, data privacy, and unified ethical standards. To foster ethical IT decision-making, prioritize Platform Data Governance, establish a data platform for security, cultivate a unified ethical culture, and enforce organizational standards. These steps promote accountability, mitigate risks, and safeguard data integrity, crucial for ethically sound IT decisions in today's complex landscape.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20241923

    A Comparative Analysis of the Impact of Import and Export Trade on the Economy Between China and the United States

    Due to the continuous development of global trade globalization and the weakening of monopolistic policies by major powers, the current international trade pattern has undergone tremendous changes, which has also led to significant changes in the GDP development of various countries. So the impact of import and export trade on international economic growth is enormous. This paper takes the United States as a typical developed country and China as a typical developing country, and the economic growth changes of both countries are most representative of the changes in import and export trade. Therefore, it focuses on the impact of import and export trade on the Sino-US economy to explore the specific changes in recent years. This article mainly focuses on the impact that has changed the import and export trade between China and the United States, resulting in how their economy has changed.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20231547

    Does Social Media Use Affect Consumers' Purchase Intention

    In an era of the widespread use of technology and digital connectivity the social on consumer behavior, particularly in relation to purchasing decisions, has become a highly significant. This explores the intricate connection between adolescents' use of social media and their inclination towards making purchases. Adolescence is a crucial stage where individuals shape their identities and consumption patterns due to significant cognitive and emotional development. The rapid rise of social media platforms has blurred the line between personal content and advertising, resulting in adolescents being exposed to their perceptions of what is desirable and normal when it comes to consumption. This research investigates various aspects of how social media affects adolescents' intention to, sociocultural, and economic factors, idealized portrayals of lifestyles and possessions social media can create aspirations that surpass one's financial means, leading to feelings of inside financial strain. Additionally, this study examines how social media mediates consumer engagement, industry-specific influences, trust-building processes through peer communication channels across different countries' perspectives as well as brand attitude formation among teenagers who are consumers with unique dynamics. Collectively, these investigations shed light on the complex media usage while providing valuable insights for businesses aiming to effectively leverage.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20231471

    The Roots of the Crises in the WTO Appellate Body and Reform Proposals

    Since the WTO Appellate Body "suspension" crisis, how to reform the Appellate Body has become a hot topic among member states. Especially after the official "suspension" of the Appellate Body, member states have put forward proposals to reform the Appellate Body, but these proposals have failed to achieve substantive results, and the reform of the Appellate Body has been stalled. Therefore, analyzing and studying the reform of the WTO Appellate Body is conducive to promoting the reform of the Appellate Body, getting rid of the crisis of the Appellate Body, and also has positive significance to the reform of the WTO dispute settlement system. The three parts of this article are as follows: the first part studies the WTO Appellate Body's fundamental procedures and gives a general overview of the body to lay the theoretical foundation for the subsequent investigation of the WTO Appellate Body's issues; The second portion examines the legal ramifications of the WTO suspension conundrum. The more divisive practical matters, such as overtime hearings, confusing hearing scope, and the influence of Appellate Body decisions on precedent; The third section of the WTO Appellate Body Reform Suggestions includes suggestions from WTO members regarding current trends in the reform, academic theory surrounding the reform, Appellate Body cases, and reform of the practice of combining future reform of the WTO-specific measures.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20231523

    Study on the Evolution of the World Economy and International Cooperation in the Context of Carbon Neutrality

    With the passage of time and the promotion of global eco-environmental protection concepts, the issue of the climate crisis has attracted the attention of all countries in the world and has become a hot topic characterized by ties. In recent years, major economies have announced their participation in carbon neutral activities one after another, actively implemented the carbon neutral targets, promoted international exchanges based on the concept of green and low carbon, deepened the degree of greening cooperation among countries, and met the needs of carbon neutral policy implementation from a strategic perspective. In the process of popularizing the concept of carbon neutrality, global economies have been able to participate in ecological and environmental protection activities together. Nowadays, there are certain changes in the global development pattern, and a scientific and technological revolution oriented to the goal of carbon neutrality has quietly arrived, and the world energy governance order has also changed. This paper analyzes the trend of the world economy in the context of carbon neutrality and the challenges of cooperation brought about by it, and puts forward the idea of participation in international cooperation from China's standpoint.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20231470

    Empirical Study of Monte Carlo Simulation in SSE 50 ETF Options Pricing

    Option is one of the most basic financial derivatives, and the pricing of option has always been a significant research topic in financial engineering. Reasonable pricing of options is the premise of options to play an important role in the financial market, for avoiding market risks, stabilizing the financial market, sustainable development of the derivatives market has vital practical significance. Monte Carlo Simulation is an important simulation method in option pricing and it based on probability theory and mathematical statistics, by simulating the path of asset prices to predict a complete average return and obtain an option price estimate. In this paper, the Monte Carlo simulation is used to make an empirical analysis of China's financial derivative SSE 50 ETF option, and the simulation price is compared with prices simulating by other models, and finally compared with the current price of SSE 50 ETF option. The results show that the SSE 50 ETF call option is recommendable to be bought, and has strong feasibility.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20231517

    Exploring the Association Between Bilibili's Post-IPO Quarterly Stock Price and Multivariate Factors: A Multiple Linear Regression Analysis

    This research delves into the intricate dynamics of stock price movements for Bilibili, a prominent digital platform, post its Initial Public Offering (IPO). Emphasis is placed on evaluating the correlation and predictive power of three main factors, Gross Profit, Advertising Revenue, and Additional Services Revenue, in determining stock prices. Furthermore, the study examines the often-assumed positive relationship between Average Monthly Interactions (AMI) and Gross Profit, questioning the depth and directionality of this relationship. Preliminary findings suggest that while Gross Profit and Advertising Revenue may historically be substantial revenue streams impacting stock prices, revenues from additional services are emerging as significant predictors in the contemporary digital platform valuation landscape. Contrary to conventional belief, high AMI does not always translate to proportional Gross Profit gains. The research presents valuable insights for investors, stakeholders, and digital platform operators, elucidating the multifaceted drivers of stock price movements in the digital age.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20241920

    Data Science Applications in Supply Chain Management Decision-making

    This research views data science as the basis of the decision-making process at SCM. Tough international trade environment characterized by complex supply chain and inventory issues as well as unpredictable demand for goods necessitates powerful analytics tools. Using the latest technologies - machine learning, predictive analytics, and big data - data science generates data-driven decisions for more accurate, efficient, and prompt SCM decision-making. The study intends to study the current trends and evaluate the influence of data science in SCM decision-making processes. It also delves into the difficulties and advantages with the utilization of data science during these procedures. This study uses a synthesis approach by systematically going through a literature review to gather data from different academic journals and industry publications. According to the results of the thematic analysis, the themes will emerge, so the whole complexity and depth of data science applications in SCM will be properly revealed. Data science changes the business decision-making in a way that was impossible before with the advent of new information from the huge and complex data sources. Data analytics not only smoothens but also upgrades long-term trend forecasting and market readiness in SCM. Furthermore, the paper emphasizes the influence of the Internet of Things (IoT) and industry 4.0 technologies of SCM with an accent on how they are associated to increase efficiency and sustainability in the operations.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20231475

    The Causes and Solutions of the China-US Trade War

    In recent years, with the continuous development of the global economy and the deepening of the globalization process, the international trade pattern is undergoing major adjustments. Among them, the trade relationship between China and the US, the two largest economies, has been the focus of attention. However, the recent outbreak of the China-US trade war has brought great uncertainties and challenges to the global economy, and the strategic analysis to solve the China-US trade war is also the core content of this study. We need to explore the possibility and difficulty of appealing to the World Trade Organization, and the possibility and challenge of pursuing bilateral negotiations. In addition, we need to consider third-party arbitration mechanisms in the China-US trade war, with a view to finding effective ways to resolve trade disputes.The purpose of this study is to explore its impact on the two countries and the global economy through an in-depth analysis of the China-US trade war, and to provide references for the resolution of the China-US trade war.

  • Open Access | Article 2024-06-26 Doi: 10.54254/2754-1169/89/20231469

    The Acceleration or Suppression: Aging in China

    The article aims to verify whether the aging population suppresses the economic consumption level of Chinese residents, depending on the economic situation in China. To diversify the sample, the work searched the situation of expenditure of countries in China. Using daily data over the period 2014-2021, the work estimates the correlation between the elderly dependency ratio and economic consumption through the expenditure approach of GDP and the Hodrick and Prescott Filter model. The work adds cyclical components to the correlation equation, indicating the manner of detrending to test the objective outcome of the GDP index. The work concludes that the GDP index is closely connected with medical insurance fund expenditure, leading to the working population paying more attention to healthcare problems. The level of the elderly dependency ratio depends on the medical insurance fund expenditure、social pension insurance funds, and government health expenditure.

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