Due to the information technology industry's rapid development, digital transformation has become the key to enterprise development. This essay is based on the historical context of the "great wisdom moves to the cloud" era, taking Sichuan Changhong as an example to conduct research, and discovers the lack of value in the traditional financial sharing center in the process of digital transformation. In order to address this issue, this paper comprehensively uses methods such as literature research, case analysis and data statistics to study and analyze the operation model and effect of the financial sharing center, and reveal its advantages and potential. Research has found that digital financial sharing centers can increase the speed and precision of financial business procedures, reduce costs, and provide more timely financial data and analysis results, thereby improving organizational decision-making capabilities. This research has important reference value for how enterprises deal with decision-making implementation issues arising from digital transformation. It provides useful experience and inspiration for other enterprises in the construction of financial sharing centers, and promotes the development of enterprises in digital transformation.

Nowadays blind box became a hot topic; people in different ages buy blind boxes and blind box as. a marketing strategy also been used in different area. Also, blind boxes often connected with the pop culture which is a fantastic culture worth our research for many Z generation are crazy int it. POP MART is company which sell the products: blind box which inside a small doll with random cute images. It is now the leading enterprise of China blind Box market and have many strong sticky customers. However, it is hard for a bind box company to attract long term customers for its products is full of uncontrollable. Indeed, pop mart did well in terms of attracting new customers and turn them into long term loyal customers. This passage will analyze the problem of why POP MART could attract so many customers and why most of their customers are strongly loyal to the company’s products.

There is a lack of evidence on whether a pandemic exacerbates economic inequalities among disadvantaged groups. This study examined whether the income of single households was affected by sample adults who were infected with COVID-19. I used NHIS data, compared the average income between infected sample adults and uninfected for each of the sub-groups, and constructed the difference in the difference graph based on the mean value. Also, using a difference-in-difference model to confirm statistically significant differences in mean income between the different groups. The results show that full-time sample adults infected with COVID-19 have significantly lower incomes than those uninfected; the sample adults with hypertension, low education, or non-metropolitan residents’ groups, who were not infected with COVID-19 were the most disadvantaged financially. The main reason for these unexpected results may be that the unemployment of infected persons instead qualifies them for high benefits.

This paper introduces an innovative approach by incorporating quadratic programming (QP) into the Markowitz portfolio optimization framework. The central objective of our study is to explore the integration of QP as a solution scheme for portfolio optimization problems with constraints, particularly in the context of the dynamic and complex Chinese real estate market.By meticulously formulating rigorous mathematical models and implementing systematic procedures, we empirically assess the effectiveness and applicability of QP within the Markowitz portfolio model. Our research contributes to a deeper understanding of portfolio optimization by shedding light on how QP can aid investors in optimizing their portfolios in the intricacies of the Chinese real estate market. We provide valuable advice for investors, enabling them to make more informed and efficient investment decisions, thereby reducing risk and maximizing returns. This study serves as a valuable reference for academics, practitioners, and policymakers seeking to navigate the challenging landscape of the Chinese real estate market.

This study conducts a comprehensive analysis of the factors influencing technology stock performance, a sector that captivates investors due to its rapid growth and innovation potential. By examining macroeconomic factors, industry-specific dynamics, and company-level management and governance, the research aims to elucidate their impacts on stock prices and returns. Macroeconomic indicators such as interest rates and economic growth cycles are assessed alongside industry trends like R&D intensity and competitive dynamics. Additionally, the study evaluates the role of corporate governance in shaping investor perceptions and stock performance. The findings offer investors deeper insights for informed decision-making and identify directions for future research, providing actionable recommendations for navigating the technology investment landscape.

In the research of customer behaviour, customer stickiness has always been one of the hottest topics. Relevant research of customer behavior is based on the obtained data, and proposes advice of the corresponding industry. This paper aims at a special purchasing group among customers. Through the PCA of the order content of this special part of customers, it can be concluded that the factors affecting the customer's purchasing behaviour mainly include the quantity and unit price. Through the analysis of the results, reasonable and feasible suggestions can be put forward for the transformation of one-time customers into long-term and stable customers, thus the customer's adhesion can be improved.

Pension investment portfolios play a pivotal role in ensuring financial security for retirees. With an aging global population, the importance of optimizing these portfolios to withstand market fluctuations and ensure steady returns becomes paramount. This study delves into the complexities of pension investment portfolios using the time-tested mean-variance model, aiming to strike a balance between risk and expected returns. Focusing on key industries like technology, entertainment, automotive, resources, and air travel, the research critically analyzes a diverse set of stocks. Methods employed include a deep analysis of expected returns, variances, covariances, and the overarching risk-return trade-off. Preliminary results underscore the nuanced nature of portfolio management and the indispensability of incorporating modern portfolio theory in pension fund management. The outcomes of this study not only aid in making informed investment decisions but also shed light on the broader social implications of robust pension fund management, emphasizing its significance in securing retirees' financial futures.

Zhejiang Heping Automobile Sales and Service Co., Ltd., established in 2000, is a leading automotive sales enterprise integrating car sales and repair services. Undergoing three stages of development, namely, expanding and strengthening car sales, venturing into financing leasing, and consistently enhancing efficiency, the company has successfully achieved a clever integration of "financing leasing + car sales." This integration ensures a steady and ample supply of funds for the enterprise while simultaneously increasing profits. Seizing the opportunities of era development and conducting a rational analysis of the industry's strengths and weaknesses, Zhejiang Heping has innovatively adopted a new approach, combining "car sales + tunnel boring machine financing leasing," thereby ensuring a robust cash flow for the enterprise, continuously expanding business operations, reducing operational risks, and increasing overall company returns.

This study focuses on fund portfolio investments in the Chinese market. The application of classic portfolio optimization methods encounters several issues when applied to fund portfolios. For example, issues such as the non-normal distribution of returns on funds or fund portfolios, turnover rate limitations in fund investments, and liquidity constraints of fund assets, which can lead to transaction costs and opportunity costs, are prevalent challenges. The existence of these issues can compromise the effectiveness of classic portfolio optimization methods like Mean-Variance Optimization. This may result in a reduction of accuracy in determining the portfolio’s optimal weights, a deviation of actual trading results from the model’s optimal expectation, and may even render the optimal weights impractical in real-world scenarios. To address these challenges, this paper integrates the 2-Step covariance matrix method (2-Step method) and the measurement of fund transaction costs into the portfolio optimization process. The paper finds that the 2-Step method, compared to the baseline, can indeed improve the risk-return indicators of the potimal fund portfolio. The inclusion of the transaction cost can effectively control the turnover frequency of the portfolio. Even after accounting for these costs, the 2-Step method continues to exhibit a significant improvement effect compared to the baseline.

With China's economy entering the stage of rapid development, the competition of listed companies in the electric power industry belonging to the national economy is also very fierce, and it is easy to appear many problems related to financial risks. Through the research on the current situation of financial risk of listed companies in the power industry, this paper has an in-depth understanding of the types of corporate financial risk and the ways of evaluation, and discusses the ways of preventing financial risk combined with the concrete practice, so as to provide some feasible suggestions for promoting the further development of listed companies in the power industry. The types of financial risks are very complex, and enterprise managers need to make accurate decisions on the long-term development of the company according to the actual situation, so as to help the normal operation of the financial market and promote the progress of society.

Tesla has not only made breakthroughs in products, but also played an active role in the field of sustainable development and environmental protection. The company's vision is to move the world towards a more sustainable and environmentally friendly future, with less reliance on fossil fuels. This paper delves into Tesla, Inc.'s strategic approach towards innovation and sustainability. It conducts a comprehensive case study of Tesla's Gigafactory in Nevada, dissecting Tesla's operational methods and underlining its dedication to large-scale sustainable manufacturing. By juxtaposing Tesla's practices with industry norms, the paper reveals how the company's groundbreaking initiatives are not only revolutionizing the automotive sector but also establishing new benchmarks across various industries globally. Additionally, the research scrutinizes Tesla's product portfolio and renewable energy endeavors, spotlighting the diverse strategies employed by Tesla to propel the global shift towards sustainable energy and transportation solutions. In terms of qualitative analysis, we delved into a comprehensive case study of the Nevada Gigafactory, conducting interviews with key personnel and conducting on-site observations to gain insights into Tesla's operational strategies. On the quantitative front, we made use of exclusive datasets to compare Tesla's performance metrics with industry benchmarks.

The global automotive industry is experiencing a seismic shift towards sustainability, with electric vehicles (EVs) leading the way. Among the new entrants in this arena, Faraday Future Inc. (FF) stands out with its vision to redefine luxury electric cars. This article presents a comprehensive analysis of FF's approach, comparing it to established luxury car brands and examining the novel luxury values it introduces. FF has strategically positioned itself to cater to the growing demand for eco-friendly, technologically advanced, and luxurious EVs. The result is a holistic reimagining of the luxury EV. Key competitive advantages for FF include its team of industry experts, advanced EV technology, and savvy marketing. Furthermore, founder YT Jia's potential influence, particularly in the Chinese market, adds a powerful dimension to the company's prospects. Nonetheless, FF faces immediate financial challenges, evident in its lack of revenue juxtaposed with high operational expenses. To realize its ambitions, FF must secure substantial funding, a task complicated by YT Jia's unresolved credit issues. Despite these hurdles, FF's diverse product portfolio offers immense potential. However, the risk of delayed product launches looms in a fast-paced industry. In summary, this article explores FF's mission to redefine luxury electric cars, emphasizing its unique value propositions, competitive strengths, and financial obstacles. FF's innovative approach positions it as a promising contender in the EV market, poised to make a lasting impact on the luxury EV segment while advancing the global shift towards sustainable transportation solutions.

Facing the increasing consumer purchasing power and diverse range of products available, matching the supply side with the demand side has become a pressing issue in the contemporary consumer market. In this context, the phenomenon of internet celebrity economy has emerged and flourished. This study takes the fast-moving consumer goods industry as an example and applies data analysis methods to investigate the impact of the internet celebrity economy on shopping decision-making from the perspective of attention economy. The following conclusions are drawn: First, based on descriptive statistics, this study identifies three key factors for the effectiveness of the internet celebrity economy, namely, expanding promotional coverage, utilizing the bandwagon effect, and broadening communication and commenting channels. Second, using weighted analysis, this study evaluates the key factors influencing shopping decision-making and highlights the importance of “user scenarios.” Third, through K-Means cluster analysis, this study categorizes consumers on internet celebrity platforms into four groups: active consumers, conservative consumers, mass consumers, and elite consumers. Finally, using the fast-moving consumer goods industry as an example, this article provides relevant recommendations from the perspectives of platforms, merchants, and internet celebrity bloggers.

With the widespread adoption of the internet, e-commerce live streaming has become a crucial marketing tool for various e-commerce platforms. However, the lack of innovative and homogeneous live content, coupled with a uniform style among hosts, has led to a gradual decline in the advantages of e-commerce live streaming for users. Consequently, businesses and hosts are compelled to explore new live streaming models. This paper conducts a path study on the "East Buy" novel e-commerce live streaming sales model, proposing the establishment of a new consumer concept—consumerism as a cultural identity. By utilizing a logic that combines knowledge and product-based live sales, employing multiple platforms and channels for sales, and creating a completely new live streaming ecosystem, this research offers a reference path for the development of the live streaming industry.

The increasing involvement of global retail firms in the Internet and e-commerce has had a favorable impact on market development, economic efficiency, and the digital transformation and upgrading of industrial structure. Nevertheless, the advent of the new retail model has not only enhanced its own competitive advantage but has also exerted a discernible influence on conventional retail operations. Consequently, the traditional retail model has become inadequate in meeting the demands of the contemporary market. The research revealed that Walmart, being recognized as the largest global retail corporation, has systematically expanded its market presence by implementing strategies such as the advancement of online and offline e-commerce, digital transformation, and efficiency enhancement measures. Nevertheless, despite Walmart's efforts to enhance its market competitiveness and expand its influence, it continues to encounter significant challenges inside the market. Hence, employing the comparative research method and data analysis approach, this study examines and analyzes the sales and operational strategies of the established retail corporation, Walmart, in recent years. The objective is to facilitate the assimilation of other conventional retail enterprises with the Internet, while also providing valuable insights and considerations for their digital transformation and advancement.

With the transformation and upgrading of industrial structure and the increasing development of service industry, tourism is becoming more and more important for the proportion of regional economic development. In recent years, Qingdao tourism develops rapidly, while promoting regional development, tourism chaos appears. For the high quality development of Qingdao tourism, it is very important to think about the existing problems and solve the problems encountered in the development of tourism. This paper will make a gray correlation analysis on various factors affecting the development of Qingdao tourism: resource advantage, infrastructure and market demand, analyze the impact of different factors on the development of Qingdao tourism, and draw a conclusion: The grey correlation degree of the total number of domestic tourists, air and railway passenger volume ranks the top three, indicating that these three factors play an important role in Qingdao's tourism development. The correlation degree between star-rated hotels and tourism development is the least, indicating that their impact on tourism development is not as great as expected. At the same time, combined with climate, policy and other factors, this paper puts forward suggestions for Qingdao's tourism development.

The subject of investment finance holds significant importance in contemporary society, with position management in investment serving as a critical factor in determining outcomes of success or failure. Acquiring knowledge in the realm of efficient asset allocation can significantly enhance individuals' ability to effectively oversee their financial resources. The Kelly formula, initially employed for determining the proportion of funds wagered on a particular game, has emerged as a prominent betting strategy within the realm of probability theory. This method aims to optimize the overall growth rate of the main amount throughout a series of independent bets, each of which is intended to yield positive net returns. This study will examine the historical context of the Kelly formula, its mathematical derivation, its utilization in the realms of gambling and investment, and its consequential implications for individuals' investment strategies.

Over recent years, big data and its derivatives have become significant indicators reflecting a company's operational status. Consequently, focusing on data asset construction has increasingly become an unavoidable topic in business management. This paper examines AF Entertainment as a case study to analyze the composition, realization path, valuation methods, approaches to identification, measurement, disclosure, and summarizes its role in corporate development, future trends, and suggestions to promote standardized development of data assets.

This overview paper supplies a background for a potential suppose of a new research dimension, based on Value at Risk model analysis applying in a point of view based on behavior economics, and supposed theory of using the models of Value at Risk. This article proposes a novel research avenue by melding the Value at Risk (VaR) model with behavioral economics, aiming to enrich our comprehension and forecasting of consumer behavior in the marketing domain. The paper underscores the significance of the discussed topics, encompassing the VaR model, marketing strategies, consumer behavior patterns, behavioral economics, and a concise touch on econometric tools. Hypotheses are presented, showcasing a regression model that holds the potential to significantly contribute to upcoming research endeavors. The foundational context and recommended methodologies of this study are tailored to spotlight specific market segments when gauging market reactions. By employing this combined model, researchers can delve into the behavior of consumers within specific geographical or economic markets, offering insights into their likely reactions to shifts in the price of merit goods. This approach beckons further exploration in correlating domains, encompassing classical economics, marketing insights related to consumer behavior, and the broader realm of behavioral economics.

As a native digital enterprise, Xiaomi Company created a model for developing, producing, and marketing products. In order to analyze the full-link process of product operation and users' evaluation, providing suggestions for the company's future product improvement, this paper uses three models of House of Quality, flow chart, and fish-bone diagram for analysis. All the graphs are original. It makes a questionnaire for a broader range of users' views. Through the House of Quality, it is found that customers' most critical needs are storage capacity and system running speed, and Xiaomi has a particular reputation gap compared with Huawei, Apple, and other leading enterprises. Through the flow chart, Xiaomi established hunger marketing and pre-sale marketing strategies and formed a procurement and production model based on strategy. The fishbone diagram is used to analyze the problem of Xiaomi's mobile phone card machine. The report makes recommendations from three aspects, research, personnel, and supply chain, to improve Xiaomi's operation management.