This paper first introduces the development trend of new energy vehicles in the world, and then focuses on the development of new energy vehicles in the Chinese market. It also focuses on the development of the Chinese market for new energy vehicles in the next fifteen years from a policy perspective. Then it comes the current situation of the new energy industry, from its development history, to the current situation of China's new energy vehicle industry, and then to the prospect of new energy in China. After that, Tesla is analysed with Porter's five forces model, followed by a deeper analysis in terms of employee management, environmental impact, product impact, and marketing campaign. Later it discusses difficulties encountered by Tesla in terms of tax, localisation, brand competition, the impact of COVID-19, and safety issues. Lastly, a few recommendations are provided to encounter the difficulties mentioned above.

The largest thermal power plant in Shaanxi Province, Dang Pucheng (No. 2) Power Generation Co., Ltd. (hereafter referred to as Pudian business), is situated in Sunzhen Town, Pucheng County. On October 1,2020, Pudian's affiliation with China Huadian Group was terminated and transferred to China Datang Group. They are divided into Datang Pucheng Power Generation Co., Ltd. and Datang Pucheng No. 2 Power Generation Co., Ltd. with two brands and a specific set of organizational operation modes as a result of the various investors. The Pudian Company employs around 1400 people in 15 departments, and Pudian company's main business are: building and running power supply projects; producing and selling electricity; fully using and managing waste generated by power plants; providing consultancy services in the field of power technology; and training professionals in the field of thermal power operation and maintenance.Rapid Transfer of Talents from Thermal Power Plants to New Energy Power Generation Industry under "Double Carbon Goal" The human resource management of Pucheng Power Plant in the new energy power generating industry has not been extensively evaluated in the prior literature. Using Porter's five forces model and Maslow's demand theory. this study analyzes and proposes solutions to the challenges of Pucheng Power Plant in the growth of the new energy power generating industry. A brief introduction to the challenges in human resource management at Pucheng Power Plant Difficulties and Solutions in the Process of Green Transformation of Pucheng Power Plant Application and Suggestions Based on Porter's Five Forces Model and Maslow's Demand Theory.

Organizational performance is an important indicator for the survival and development of organizations, especially nowadays, the spread of the new crown epidemic, the declining international economic situation, and the increasing difficulties in the operation of domestic and international organizations have forced all organizations to actively seek ways to improve organizational performance. The measurement and influencing factors of organizational performance in different times and industries vary for each organization, but there are commonalities. This paper reviews a number of papers that attempt to identify the factors that influence organizational performance as a reference for organizations to improve their own performance. The literature review summarizes four antecedent variables that have a significant impact on organizational performance: organizational risk, organizational human resource management, organizational heterogeneity, and organizational leadership style.

The video game industry has been a rapidly developing industry in recent years and has great market influence. This article starts with an analysis of the problems and difficulties that Nintendo has encountered in the Chinese market environment with rapid economic and technological development, based on consumer feedback, media reports, the company’s direction, and the company’s economic changes during the COVID-19 period. According to the survey, the author will analyze the advantages and disadvantages of Nintendo in the Chinese market and the future development prospects, and finally come to the conclusion that Nintendo has great development potential in the Chinese market and consumers can also buy the company’s products with confidence.

During the 2008 financial crisis, many investment and commercial banks were hit hard. The primary reasons that caused the financial crisis were the abuse of mortgage securitization and the housing bubble. In this paper, our group mainly focused on the potential issue of the mortgage securitization structure and the impact that the abuse of securitization caused. Our group analyzed the correlation between mortgage defaults through the OLS linear regression model. It showed an underestimation of the possibility of defaulting on securitization products (MBS, CDO, etc.). Furthermore, our group analyzed the expansion of this potential risk due to the raised housing bubble. After analyzing the potential risk, our group analyzed the impacts that the securitization caused in macro and micro views. First, our group analyzed vital factors that affect bank performance using the OLS linear regression model. Moreover, based on the change of these critical factors caused by the exposed potential risk from the securitization structure, our group analyzed the bank’s performance during the financial crisis. Second, our group analyzed the macro impacts before, during, and after the financial crisis due to the abuse of securitization. Overall, according to the potential risk in the securitization structure and the macro and micro impacts caused by the exposed potential risk, our group concluded that the abuse of securitization was the “curse” for the whole financial system at that time.

Poverty Alleviation Resettlement is a key component of China’s ‘Five-Batch’ policy in Targeted Poverty Alleviation. This work introduces the history of the PAR programme in China and the current phase of work arrangement. It presents findings from the literature on internal and rural-urban migration in China and other countries as well as some of the experiences and problems faced by the previous poverty alleviation resettlement projects. In addition, it attempts to build a simple DiD model to determine the impact of participation in the PAR programmes on the multidimensional poverty status of the poor in China, taking subjective and objective factors into account. It finally illustrates some shortcomings of this research for future refinement.

As one of the most ambitious and innovative companies in the automobile manufacturing industry across the world, Tesla visions itself with the mission to change and redefine the industry landscape of future mobility empowered by innovation and new transportation technologies. This research is conducted to examine how Tesla manages to surge against the odds of all the adversity manifested in the new normal through the lens of financial analysis of Tesla’s annual reports. In light of the key concepts and financial performance and accounting data presented in the company report, the financial situation and growth of Tesla, specifically regarding its strengths and weaknesses, are analyzed. Besides, possible suggestions on risk control and financial viability, in the long run, are provided. Furthermore, the financial performance of Tesla analyzed from the key metrics are linked to the macroeconomic environment presented in the new normal, so as to consider the impacts on the company’s revenues and the validity of the company’s stock price performance for investment selection.

As the data market becomes ubiquitous, it is necessary to study the data streams generated by Internet of Things (IoT) devices. For example, nowadays, security problems are crucial to the process of data transaction. Due to the decentralization of blockchain and difficult data tampering, blockchain can well solve the security problems in data transaction. However, the transaction efficiency of blockchain can hardly meet the current market due to latency and other problems. This article mainly reviews existing research on blockchain and IoT data and put forward possible solutions for dealing with some of the current problems. The present study is mainly divided into three parts, including the classification of research problems, research methods, and the classification of experiments. The main research questions are about insufficient functionality and poor performance on the Internet of Things and data markets. In addition to the discussion on whether to use blockchain, this article also proposes some feasible research directions for future research.

This paper gives a general introduction of Starbucks including its scale in China, the changes of its sales in these years and use Five Forces Model to analyse the threats of Starbucks. From six aspects to show the potential risks of Starbucks. This essay also explores some problems Starbucks caused in expansion, leadership behaviour, personnel management, brand positioning. The main problems are the low-quality service, the ignoring of the individual management, bad performance of some workers and the broken end-up brand positioning respectively. The Maslow’s hierarchy of needs model is used to motivate the workers and solve the problems in expansion. The Multiple-Linkage model is divided into two parts to solve the rest problems.

Stocks are a financial product with high risk but high reward and flexible trading that many investors prefer. If an investor can accurately predict the price of a stock, he or she will be rewarded handsomely. Stock prices, on the other hand, are influenced by a variety of factors, including macroeconomic conditions, market conditions, major socioeconomic events, investor preferences, and company business decisions. As a result, stock price forecasting has become the focus and difficulty of research in a variety of fields. Stock price prediction entails gathering news and commentaries, analyzing historical data, and determining the impact of news events on investor sentiment and stock price trends. The purpose of this paper is to provide an introduction to the application of text mining in the stock market, including commonly used text mining and prediction models, as well as to highlight problems in the field and suggest some future directions for improvement or research. Finally, many unresolved issues are raised in order to contribute to future research in this area.