As a matter of fact, with the rapid development of the computation ability and data delivering, the big data analysis becomes a common tool to realize the predictions. With this in mind, this paper focuses on the impact of big data analysis on sales forecasting, starting with an introduction to the present-day context and significance of sales forecasting and some of the forecasting scenarios implemented by previous generations based on machine learning. After introducing these backgrounds, we start to introduce big data analysis and its impact on sales forecasting. According to the analysis and the summaty of the previous experience, we introduce the commonly used models, the parameters of the models, and the evaluation of the models as well as the application scenarios, and the specific application results. Finally, we demonstrate the limitations as well as future perspectives of big data analysis and sales forecasting. Overall, these results shed light on guiding further exploratio of bigdata analysis in sales prediction.

As a matter of fact, there is a significant difference between developed and underdeveloped regions in contemporary society. Under the trend of carbon neutrality and carbon peaking in environmental protection in recent years, the use of cars powered by electric, hydrogen or other fuel except oil seems to be fragmented across different regions. With this in mind, this study mainly studies and investiagtes the relationship between economic level and the ownership of the cars powered by electric, hydrogen or other fuel except oil from a perspective of economic data, as well as explores the impact of economic development level and population on the ownership of cars powered by electric, hydrogen or other fuel except oil and environmental protection. According to the analysis, it has provided a positive impact on promoting the development and popularization of cars powered by electric, hydrogen or other fuel except oil, which shed light on guiding further exploration.

To raise money for the transformation of electric cars, the Stockholm Stock Exchange is about to open trading for Volvo shares. Nowadays, more and more companies choose Initial Public Offering (IPO) to excessive their period of financial embarrassment. As a good deal, this research will analyze the main problems and weaknesses of IPO. An in-depth and detailed analysis of the reasons for the rejection can clarify the needs of the capital market on the specific requirements of the listed company, and guide the company to be listed in the listing declaration targeted into the line of rectification. At the same time, it is also for the listed company to compare their own industry conditions. The development stage, business characteristics and profit model, for the company's self-consideration of whether in line with the conditions for listing substantial judgment provides a specific reference basis. Ultimately, the paper found that productivity had a positive development with the help of the IPO. In the paper, the experience of Volvo's IPO showed that IPO was a good method to help companies gain money.

The Renminbi’s (RMB) journey towards international prominence encapsulates China's economic metamorphosis and the evolving dynamics of the global monetary system. This paper delves into the multifaceted trajectory of the RMB, highlighting the challenges and opportunities it faces in its quest for global acceptance. It provides an in-depth analysis of the implications of the US-China trade war and the global pandemic on the RMB’s internationalization. The paper also underscores the transformative potential of strategic initiatives such as China's Belt and Road Initiative (BRI) and the pioneering Digital Yuan. Through a nuanced exploration of these themes, this study offers insights into the RMB's current status and its prospective role in the global monetary order. As countries grapple with changing trade dependencies and the digital revolution in finance, the RMB emerges not just as a participant but as a potential leader in reshaping the contours of international finance.

In the context of the rapid development of Internet finance, researchers can understand the needs of users according to their behaviors and consumption habits, which can help enterprises and governments formulate relevant strategies. In addition, financial technology in the field of Internet finance continues to innovate, and researchers are committed to exploring the future application prospects of new technologies. However, there are still some research gaps. The research theme of this paper is the impact of Internet finance on low-income groups and residents in rural areas. The specific question that this paper wants to explore is what impact Internet finance has on low-income groups and residents in rural areas in which aspects. The result of the study is that Internet finance has a positive impact on low-income groups and rural residents through the convenience of financial services, the convenience of financial management, the expansion of lending channels and the popularization of financial knowledge education.

The current study conducted a thorough analysis of the complex connection between net family income and various crucial socio-demographic factors, such as educational achievement, age, self-esteem, insurance coverage, and the presence of dependents in households. The primary aim of this investigation was to identify the key factors that demonstrate a favorable and statistically significant correlation with net family income. The ability to make wise decisions is of utmost importance as it can help government officials create policies, stimulate economic growth, and improve the quality of life for people and families. Previous research has largely focused on determining the primary elements that affect individual net income, with a noticeable lack of in-depth studies into the area of family net income. As a result, the research seeks to fill this gap by examining if these recognized connections also apply to the realm of family net income. The study utilized meticulous multiple linear regression analysis as its analytical framework, adopting data from the nationally representative Longitudinal Survey of Youth. The study's results highlighted the strong positive associations between education, insurance status, and the number of dependents with net family income, while not taking into account any other factors that were studied.

New retail refers to integrating online and offline business models and realizing omnichannel sales, personalized customization, intelligent management, and other innovative ways through e-commerce technology. With the continuous development and popularization of e-commerce technology in China, new retail has become one of the key topics of current research. Researchers have found that the new retail model has become a trend in the traditional retail industry. However, a unified understanding of the new retail supplier selection problem is needed. In this paper, by using Oriental Selection as an example to explore the supplier selection problem under the new retail model, the study finds that the supplier selection in the new retail industry needs to conform to the development of the industry. With the help of the digital supplier selection model, it will establish in-depth partnerships with suppliers simultaneously to strengthen the development of a self-supply chain to prevent the supply risk problem.

The new energy vehicle supply chain is evolving rapidly to meet growing market demand, and innovations in battery technology, motor manufacturing, and charging infrastructure, among others, are driving progress in this sector. This paper explores the supply chain strengths of BYD, a major new energy vehicle manufacturer in China’s automobile manufacturing industry, and related issues. Through an in-depth analysis of BYD’s history, the company’s current status, and its innovative initiatives in the supply chain, the paper identifies its supply chain strengths in intelligence, sustainability, and innovation. However, some of the challenges BYD’s supply chain faces, such as delivery issues, data security risks and low collaboration with suppliers, are also raised. Finally, the paper offers some recommendations, including actively collaborating with high-quality suppliers, strengthening data processing and management capabilities, and adhering to supply chain innovation. These recommendations can guide BYD’s development and provide useful references for peer companies’ supply chain optimization.

With the advent of the Internet of Things era, China, as the largest manufacturing country, should actively carry out digital transformation to enhance the independent innovation ability, improve industrial structure, and optimize the quality and level of the existing manufacturing industry in order to enhance the brand competitiveness of manufacturing enterprises. This paper will provide a reference for other companies by examining the digital transformation path of Haier, the leader of Chinese home appliances, under the IoT model. This paper uses the case study method to analyze Haier's own business situation in recent years vertically by studying its digital transformation in terms of products and finances, and horizontally by comparing Haier's business situation with that of companies in the same industry. The study has found that changing business strategies based on the needs of the IoT era, constantly adjusting and optimizing internal structures and management models of enterprises, can help carry out digital transformation of enterprises in today's era.

In the new economic era, the emergence of ChatGPT has brought great impact to the accounting industry. And as a natural language processing tool, ChatGPT is not only a kind of intelligent chatting software, but also a kind of machine learning system utilizing a large-scale language model with powerful language understanding and text generation capabilities. Although ChatGPT technology still has limitations, and its application in the field of accounting has the defects of misleading data and reliability of information, the application of ChatGPT has become a general trend. The emergence of new technology will prompt business accounting to return to the essence, and expand the field. This paper discusses the prospect of ChatGPT application in the field of enterprise financial accounting and its challenges in the new economic era, and provides ideas on how enterprises can integrate ChatGPT into their financial accounting work to realize successful transformation and break through difficulties.

With the development of economic globalisation and information technology, under the condition of limited resources, searching for new economic growth points and enterprise growth models, resource integration has become the key to implementing enterprise goals, and financial shared services have emerged. Enterprises with large-scale, widely distributed branches, financial sharing can integrate all kinds of resources in the enterprise, through the business module to optimise the process, so that the process between different regions and the accounting system tends to standardise and unify,Finance staff in all positions can familiarise themselves with the business dealing with branch matters. The securities industry has also continued to strengthen the integration of digital technology and business applications, moving towards standardisation, systemisation and intelligence. This paper briefly describes the meaning and development history of the financial sharing model, explains the development history and development status of the securities industry, and briefly analyses the application of financial sharing in the overall construction of the securities company's finances.

With the rapid development of information technology, the “Golden Tax Phase IV” system has been fully launched, and the comprehensively digital electronic invoice (hereinafter referred to as “CDEI”) as its core has also been piloted in many places. However, there is little research on CDEI in the academic community at present. Most of them use the literature research method, mainly focusing on the challenges of CDEI implementation to enterprises, coping strategies, financial management and other aspects. There is little research on the application of CDEI in a specific enterprise. Through literature research and case analysis, this paper firstly studies the theory of CDEI, expounds the relevant theoretical basis, and provides theoretical guidance for various practical problems in the application of CDEI in enterprises. Secondly, a case study of X finance and taxation consulting service company is conducted, which actively uses the CDEI system. This paper starts from three stages of the evolution of the invoice application of company X, and through a comprehensive understanding of company X, analyzes three major impacts of the application of CDEI on Company X’s improvement of work convenience, enhancement of tax compliance, and reduction of business error rate. In addition, it points out the problems existing in the application of CDEI in company X and the solutions. This paper enriches the existing optimization research on the application of CDEI, and provides some enlightenment for the risk prevention and supervision, system innovation and rational development of the application of CDEI in enterprises.

Among many quantitative investment means, Alpha strategy, as a typical strategy, has ushered in unprecedented development opportunities. Therefore, how to obtain excess Alpha returns stably and how to select the portfolio with higher future returns from the massive stock pool has attracted more and more attention from investors. This paper uses the ranking score method to determine the effective factors in the candidate factors and constructs a multi-factor Alpha strategy stock selection model in the A-share market. This paper first uses historical data to conduct sample analysis of stocks, studies the correlation between various indicators of listed companies and Alpha returns of individual stocks, and selects candidate factors that can effectively screen stocks with high Alpha returns. After that, the strategy model was established for back testing to test the application and feasibility of Alpha strategy in China's A-share market. Four effective factors are selected according to previous studies. And use the market data from January 2022 to December 2022 to back test the alpha strategy. The back test results show that the multi-factor Alpha strategy in this paper meets the expected performance in the A-stock market and can outperform the market to obtain excess returns. This paper studies the multi-factor Alpha strategy in the A-stock market, aiming to improve the feasibility of this strategy in the Chinese stock market, hoping to provide objective and effective investment ideas for asset managers and obtain investment methods that can obtain excess returns.

In three different ways, this article provides insight into how the presentation of artwork reflects the changing stages of the economy. The article delves into the historical significance of the Dutch Golden Age, where artistic opulence went hand in hand with economic prosperity. In addition, it dissects the broader stages of economic development and their reflection in art from ancient agrarian societies to today's digital age. Finally, the article explores the evolving patterns of transactions in the art market, tracing the shift from barter systems to modern digital transactions. Through these lenses, the article shows that the art market can serve as a dynamic indicator of economic change, providing insight into social values, economic health, and the evolving interplay between culture and commerce. The economic crisis of 2008 and the potential dangers of the fine art market are examined. The future use of market trends as a starting point for econometric measurements was envisaged.

The Black Scholes model and binomial tree model have been the main research objects of scholars in the past fifty years. This article summarizes the optimization process of these two classic option pricing models to understand the different directions of optimizing the models and to provide ideas for future model improvement. Improvements from scholars to the Black-Scholes model mainly focus on the basic model and the relevant variables involved in option pricing, while the optimization of the binomial tree model focuses on the reduction of pricing errors as well as the improvement of model fitting speed. Empirical studies of option pricing models have shown that improved models while enhancing the accuracy of pricing in various financial markets, unavoidably increase computational complexity and reduce efficiency. This article also demonstrates the future integration of financial derivatives pricing models in multiple fields by describing the application of real options in the agriculture, technology, and biology industries.

This research employs the iPhone as a case study and conducts a survey to investigate consumers' willingness-to-pay (WTP) for privacy. We discover that consumers not only value their privacy in the digital realm but are also willing to invest considerably in privacy-protection services. What makes our findings particularly intriguing is the relationship between consumers' privacy habits and their willingness-to-pay. Surprisingly, individuals who may exhibit lower vigilance in safeguarding their privacy online paradoxically demonstrate a higher willingness-to-pay for services that ensure their data protection. Our research not only sheds light on consumer behavior but also provides invaluable strategic implications for businesses, especially tech giants like Apple. By leveraging privacy protection as a key selling point, firms can not only cater to the increasing concerns of privacy-conscious consumers but also elevate their products to a new level of desirability. Effectively communicating the robust privacy features of products like the iPhone empowers companies to justify premium pricing, enhancing their revenue streams while simultaneously fostering a safer digital environment for their users. This study stands as a testament to the symbiotic relationship between consumer demand for privacy and businesses' strategic innovation, driving the evolution of both technology and user protection in the digital age.

Traditionally, firms face many challenges with employment: Geographical discrepancies, inefficient talent sourcing methods, accessibility, and, more recently, COVID-19. As a result, the gig economy, or the freelance economy, has become increasingly popular as a method of employment after the pandemic. This type of business model is proliferating due to its easy accessibility, along with environmental factors, such as the pandemic and social factors, such as the trend of digitalization in developing countries. This new model also brings many benefits to gig workers, including an easier pathway to employment and globalization, consumers, bringing them a wide array of services on an accessible platform, and corporations, helping them source talent and solve resource allocation issues. Yet, many corporations and industries are still in the early stage of utilizing gig workers, or refuse to outsource gig talent, because of social perceptions, skill set mismatches, and technical inefficiencies. In this paper, empirical analysis of the platform's fundamental components, challenges with society, and outlook is presented along with a relevant case study and a recommendation for a potential future development of the gig economy.

This research aims to study the story of Musk and Tesla Inc., and the entrepreneurial lessons learned from their business success. Through case studies and literature reviews, the author can reveal the common characteristics and wisdom of successful entrepreneurs, and provide valuable inspiration for future entrepreneurs. Entrepreneurs need to constantly pursue innovation and try new ideas and technologies to maintain a competitive edge. What is equally important is the sustainability and the commitment to social responsibility that goes with it. Tesla's market capitalization has surpassed that of many traditional automakers, making it one of the most valuable car companies in the world. This reflects investors' optimism about the future potential of electric vehicles and their trust in Tesla's leadership.In addition, Tesla has successfully raised billions of dollars in capital markets to support the company's expansion and research and development projects, including the Gigafactory and the development of autonomous driving technology. This shows that investors are confident in Tesla's future growth prospects.

The rapid evolution of the fashion industry in recent decades has been characterised by the rise of fast fashion, which challenges the traditional bi-annual fashion cycle by producing and disseminating new styles in a much shorter timeframe. Fast fashion democratises the fashion world, making trendy clothing accessible and affordable to a broader audience. A principal player in this transformation is Zara, conceptualised by Amancio Ortega, which grew from a small shop in A Coruna to a worldwide retail empire, epitomising the ethos of "instant fashions". This transition in the industry parallels shifts in consumer behavior models. Historically, the AIDA model suggested a progression from Attention to Interest, Desire, and Action. However, with the advent of the Internet, this model has evolved. The AISAS model, proposed in 2005, adjusts for the digital age by including the Search, Action, and Share stages. This was further modified to the SICAS model in 2011, encompassing stages of Sense, Interest and Interactive, Connection and Communication, Action, and Sharing. This model delineates the steps of brand-consumer interaction in today's digital age, emphasising the significance of connectivity, communication, and sharing in the consumer's purchasing journey. The article introduces the Zara marketing strategy based on the SICAS model.

Studying the organisational structure is always essential in understanding how businesses operate both externally and internally. In that sense, by researching on the structure of business oragnisations, it is predicted for the researcher to obtain some valuable results. This approach can be seen as using a case study method in which detailed investigations are conducted into the organisation structure, which yield fruitful observations. The current study delves into Klarna, a prominent Swedish Fintech company, focusing on its history, corporate governance evolution, impact on the financial and business sectors, technological aspects, and the challenges it faces. Klarna has revolutionized the financial industry with its Buy-Now-Pay-Later (BNPL) services, but it also confronts corporate governance, technological, regulatory, and financial challenges. This analysis underscores the significance of Klarna's transformation in the financial and business sectors while acknowledging the hurdles it must overcome to ensure its sustained growth. Klarna needs to embraces these chanllenges to move forward to future prospects.