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This dissertation identifies factors driving consumer shopping behavior within the realm of live-streaming commerce, an area fast emerging in the e-commerce domain. Live-streaming shopping or commerce involves real-time interaction and entertainment with traditional online shopping, forming a unique endogenous environment where consumers can contact sellers or influencers directly. The study employed quantitative surveys that identified some of the main determining factors of consumer behavior within this context. The findings show that the significant factors in determining consumer behavior are trust and engagement, which are strongly influenced by the credibility and authenticity of the live streamer. Another significant finding is the role of social interaction and community building in providing consumers with a sense of belonging and validation, enhancing their confidence and purchase intention. Moreover, it highlights how marketing strategies of flash sales, limited-time offers, and partnerships with influencers make their way into the system to help invoke engagement and impulsive buying behavior among consumers. The implications of these findings extend to e-commerce platforms and marketers. Any improvements in features leading to trust, engagement, and interactivity within the community would drive higher customer satisfaction and sales. According to researchers, working partnerships with believable influencers and more extensive integrations of real-time marketing might further activate live-streaming commerce. This study thus fills a gap in the existing body of literature by detailing the drivers of consumer behavior toward live-stream commerce. It also identifies areas of future research on the current studies, including developing technologies and the cultural variances in the impact of live-stream commerce, including ethical considerations. These results are principle for guiding work on potential live-stream commerce in the digital age for anybody from workers to academicians

This dissertation provides an in-depth valuation assessment on NVIDIA Corporation which is a leading technology company known for its GPUs, study its financial results, strategic initiatives by SWOT Analysis, and access its market positioning in semiconductor industry by using PESTEL Analysis and Poter’s Five Forces Analysis. In order to ascertain the intrinsic value and assess the future prospects of NVIDIA, the study then utilizes several financial models, Enterprise Discounted Cash Flow (EDCF), Adjusted Present Value (APV) and Discounted Economic Profit (DEP). The study presents NVIDIA is potentially overvalued

In the current context of intensified economic globalization, Chinese state-owned enterprises (SOEs) have actively responded to the "Belt and Road" initiative by expanding their overseas operations, seeking new growth points through competition and cooperation in the global market. However, along with opportunities come the necessity for risk management in the overseas operations of SOEs. Based on theories of systematic and non-systematic risks, this thesis employs methods such as case study analysis and multiple linear regression to thoroughly examine key risk types in SOEs’ overseas operations, including political risks and exchange rate risks. Using quantitative models like the Analytic Hierarchy Process (AHP) and neural network early-warning models, the thesis empirically tests the effectiveness of mechanisms for risk identification, assessment, and control. Data sources include national statistics and corporate annual reports, and techniques such as Principal Component Analysis (PCA) and cluster analysis are applied to reveal statistical characteristics of risk factors and the internal and external linkage mechanisms of risk events. The thesis points out that the management of risks in overseas operations of SOEs not only relies on scientific assessment and precise early warning but also requires the establishment of a risk management framework and governance system that aligns with international rules. Through in-depth analysis of the overseas operations of enterprises like PetroChina and Huawei, the thesis distills strategies for risk prevention and control, such as diversified investment strategies and the construction of compliance risk control systems, and conducts a comprehensive evaluation of the current risk management system, proposing pathways for sustainable development. The outcomes of the research aim to help SOEs enhance their level of risk management, ensure national economic security, and also provide theoretical guidance and practical reference for the implementation of international strategies by SOEs

The increasing contribution of Generation Z (Gen Z) to Macao’s economy may be the driving force behind the recent changes in Macao’s consumption patterns. This dissertation analyzes how consumption patterns of Macao’s Gen Z differ from other generations. To investigate the types of goods and services consumed, the shopping modes, and the factors that influence the consumption decisions of different generations of Macao, this study conducts a survey to collect primary quantitative data from 296 Macao residents. This study found that the most Macao residents consumed 21%-60% of their income, showing a balance between consumption and saving. They spent most on food and non-alcoholic beverages, healthcare, and education. In terms of receiving information about new products, many Macao consumers learned from family and friends and social media, such as the Red Book and TikTok. Electronic payments have become increasingly popular, such as the local payment system, MPay. The t tests for statistically significant differences show that Gen Z was more likely to make online purchases when buying beauty products and electronic devices than other generations. Compared to other generations, Gen Z was more concerned with the level of fun of the brand, impacts on the environment, society, and local community of the product, personal preference and research, and the recommendations of online reviewers, influencers, and salesperson. Based on the findings of this study, businesses can develop up-to-date marketing strategies to introduce their products to different generations in Macao

A world-class retailer, Walmart Inc. (WMT) operates in multiple formats, including physical and online stores. Walmart began operations in 1962 and currently owns 10,616 merchandise units around the world. Most of Walmart's revenue comes from the United States segment, 17% from the Walmart International segment, and 14% from the Sam's Club segment. Walmart offers many products, such as groceries, consumables, general merchandise, and health products. With its marketing strategy of low-cost products, Walmart has successfully navigated through economic prosperity and recessions in different periods. However, there is still intense competition in the retail industry, so we will analyze the company's internal factors across the economic climate and external factors and see how the company positioned itself to adapt to the trends in the industry to achieve the current intrinsic value. Three valuation models have been completed to determine Walmart’s intrinsic value. We will then compare that figure with WMT's stock price at the end of fiscal year 2022, which will benefit investors by providing valuable reference information

Given the rapid growth of China's economy and its maturing financial market, state-owned banks have played a crucial role in driving national economic growth and ensuring financial stability. However, this progress has been accompanied by a pressing challenge - the accumulation of non-performing assets (NPAs), which pose significant obstacles to both the banking industry and China's economic development. Therefore, it is imperative to comprehensively analyze strategies aimed at mitigating NPAs in state-owned commercial banks, with an emphasis on seeking more effective resolution mechanisms. This study delves into the institutional environment surrounding NPAs in state-owned banks, including improvements in laws and regulations as well as advancements in financial market structures and legal frameworks. The initial step involves analyzing the current status and manifestations of NPAs within state-owned banks to clarify their ambiguously defined areas. Furthermore, considering China's unique policy context and socio-economic landscape, this study conducts an analysis and comparison of diverse strategies for addressing NPAs from the perspectives of asset quality management, risk-profit equilibrium, and legal regulatory support system. Ultimately, several suggestions are proposed regarding the trajectory of NPA resolution

This study assesses Tesla's marketing strategies and their effectiveness in the Chinese market. Given Tesla's leading position in the global electric vehicle sector and the importance of the Chinese market, this study aims to analyze in-depth how Tesla has succeeded in China with its unique marketing tactics, and to suggest improvements to enhance its competitiveness. By utilizing analytical tools such as PEST, Porter's Five Forces Model, SWOT, and STP, this study comprehensively evaluates Tesla's marketing environment and thoroughly analyzes its marketing mix of products, prices, channels, promotions, etc., combined with consumer feedback and market research data. The study reveals that the key factors for Tesla's success include innovative design, unique branding, effective marketing strategies and digital marketing applications. Nevertheless, Tesla still needs to face the challenges of localization, pricing strategy, channel adjustment and promotion innovation. In order to maintain its leading position, Tesla should continue to innovate, strengthen its localization strategy, improve service quality, and adapt to policy changes. The optimization suggestions proposed in this study will help Tesla overcome challenges and achieve sustained growth, and they will also provide valuable references for other new energy vehicle companies

With the comprehensive opening of the global economy, the intensification of market competition and the increasingly prominent value of human resources, all trades and professions are facing unprecedented challenges. In order to remain competitive in the market, human resource management plays an increasingly important role. As an important part of human resource management, enterprise performance management can be used as a key tool to drive the release of employees' potential, which has attracted more and more attention from enterprises. More and more performance management-related systems have been introduced into enterprises. However, in the system introduction and implementation process, there are different degrees of problems, such as ""mechanically copied"" and ""process"". Therefore, according to the specific situation of different enterprises, it is necessary to formulate the corresponding performance management system to maximize the role of motivating employees. This paper explores enterprise performance management's influence on the employee incentive effect. The implementation of enterprise performance management and its influence on employee incentive are analyzed through the literature review, case analysis and empirical analysis. Research has found that effective enterprise performance management can significantly improve the work enthusiasm and satisfaction of employees, thus enhancing the overall performance of enterprises and promoting all-round development. At the same time, this paper also discusses the key factors affecting the incentive effect of enterprise performance management, and puts forward the corresponding optimization suggestions

Many sports events have been reopened since the recovery from the global Covid19 epidemic. As countries work toward the third sustainable development goal of good health and well-being, sports events have received increasing support and investments. This study focuses on the Xiamen Marathon, which had reached the platinum level of sustainable development and is a benchmark marathon race in China. To assess the factors that influence the brand image and behavior of consumers of the Xiamen Marathon, this dissertation references the conceptual models in previous studies and hypothesizes that experience, brand image, loyalty, satisfaction, motivation, organization, quality, and trust are the direct influencing factors of brand image and indirect determinants of word of mouth, sport, and behavioral intention. This study surveyed participants of the Xiamen Marathon in 2024 and collected data from a sample of 285 participants. All the respondents were local residents and over 90% were contestants. The largest proportions were 36-to-55-year-old, married, highly educated, and employed, earning monthly income between ¥5000 to ¥15000 and spending over ¥1000 on marathon equipment. IBM SPSS and Amos were used for the quantitative analysis based on structural equation modeling techniques, including reliability test, validity test, and hypothesis testing. The questionnaire quality was good, the scale data were suitable for factor analysis, and the questionnaire data fitted well. However, quality and trust were excluded due to low significance. The results show that experience, loyalty, satisfaction, motivation, and organization have significant and positive impacts on brand image, which in turn has significant and positive impacts word of mouth, sport, and behavioral intention. The results support the eight hypotheses of direct effects and the 15 hypotheses of intermediate effects

Against the backdrop of escalating global climate change and China being the world’s largest carbon emitter, this study explores the impact of the carbon trading system on green finance in Chinese power sector. This study uses a quantitative research method, namely a difference-in-differences (DID) model, to investigate power companies that participated or had the potential to participate in carbon trading in 2019 and 2022. The key finding is that companies that participated in carbon trading had significantly higher green finance than those that did not participate, indicating that the carbon trading system has a positive impact on promoting green finance. However, the impact does not significantly intensify after the national carbon trading scheme was implemented in mid-2021. The green finance of listed companies and state-owned enterprises were less affected by carbon trading, possibly because these companies rely on alternative financing options and government financial support. Due to the findings, this study recommends that policy makers should strengthen the promotion of the carbon trading scheme and provide more support for non-listed companies and non-state-owned enterprises. At the same time, the companies should actively participate in the carbon market to take advantage of the industrial policies to enhance green finance, and ultimately promote environmental protection and their own sustainable development

This paper selects Noble Fitness Club in Zhongshan as a research object, adopting a qualitative method and conducting in-depth interviews with its members to determine what factors affect customers’ choice of a fitness club. This study is important because it enriches the theoretical guidance framework of the fitness market. Moreover, it helps partitioners from the fitness industry realize what factors directly impact customer satisfaction, providing recommendations for them to foster sustainable development. In-depth interviewing is the primary method for data collection. And, the thematic content analysis (TCA) approach is used to analyze the data derived from interview transcripts. Existing research identified eight factors affecting customers’ choice of a fitness club. However, the author discovered three additional factors that also significantly influenced their selection of a fitness club: geographical location, group courses, and fitness atmosphere. The fitness industry has an issue of product homogenization. Attracting more customers while retaining existing members is a challenge many fitness clubs face nowadays. Therefore, operators should avoid engaging in a price war, reducing the profit margin to attract more customers at the expense of sacrificing service quality. Instead, they should prioritize customers’ practical needs and make the best effort to meet their expectations

China’s economy has entered a critical period of structural adjustment. The developing green industries and the transforming traditional industries have increasing demand for finance, making ""green finance"" increasingly essential. While China's green finance is in the development stage, some newly developed zones serve as pilots for the launch of green financial products. An example is Tongzhou District of Beijing, which aims to expand Beijing’s space, promote the coordinated development of Beijing-Tianjin-Hebei, and explore the optimal development mode of the densely populated economic areas. This thesis aims to study consumer acceptance of green financial technology (fintech) in the case of Tongzhou District. This thesis extended the commonly applied theoretical model for the problem of study, the Energy Augmented Technology Acceptance Model (EA-TAM), to analyze the impacts of perceived usefulness, perceived ease of use, attitude toward use, intention, usage intention, environmental awareness, and green knowledge on the acceptance of green fintech in Tongzhou District. The survey collected 403 valid responses from people that had been active in Tongzhou District. The quantitative analysis is based on structural equation modeling techniques, including reliability analysis, validity analysis, standard method deviation test, and hypothesis testing. The analytical results show that all the hypothesized factors are significant. In addition, the sample is divided into different gender groups and education groups, so that the impacts of the socio-demographic characteristics can be explored. Males’ environmental awareness and green knowledge are insignificant in determining their acceptance of green fintech. The low-educated group’s acceptance of green fintech does not significantly depend on environmental awareness and perceived usefulness

Teacher turnover is a global issue that has not received much research attention in Macau despite studies indicating that teachers in the region experience high levels of stress and burnout. Given that private school teachers account for a significant proportion (88.6%) of the non-tertiary education system in Macau, this qualitative study focused on this specific group who voluntarily resigned from their positions. Through in-depth interviews with 13 former teachers from different kindergartens, primary, and secondary schools, the research identified 50 reasons categorized into 15 factors under three categories. Although schoolrelated factors account for the most, personal reasons were found to be the primary driver. The findings of the study highlight the complex nature of teacher turnover which can be attributed to both single and multiple factors, in both direct and indirect forms. The factors could also interplay in both unidirectional and mutual relationships. A conceptual framework for teacher turnover in Macau was developed to address the 15 contributing factors and the complex interplay of these factors. This study could fill the gap in the literature and serve as a valuable resource for policymakers and school leaders seeking to reduce teacher attrition rates in the region

Online shopping in Macau has developed rapidly in recent years. And the success of Taobao is significantly hard to not notice. Its’ sales are breaking the record every year. However, there are a lot of negative comments towards Taobao. Various researches and data have shown that live-streaming is one of the biggest contributions towards Taobao’s sales and record breaking. This research aims to investigate deeply to understand how Taobao counters those issues and the role of live-streaming in relation to it. Based on a review of the literature in the relevant areas , qualitative methodology is adopted after thorough considerations. A small sample size of 10 were selected to conduct semi-structured in-depth interviews and the participants agreed to respond to answer the original interview questions and the follow-up questions. Analysis of the responses demonstrated e-customer service is the most influential variable towards repurchase intention. Live-streaming strategy can effectively and directly reduce constomer’s uncertainty of products and increase the efficiency of responsiveness. And product uncertainty and responsiveness speed are variables that impact purchase intention. The result demonstrated live-streaming's effectiveness in combating multiple negative aspects of Taobao and strengthening the positive aspects. On this basis, live-streaming is an impactful method to combat Taobao. In addition, e-service in terms of sufficiency of the staff’s communication skill have been found important towards customer’s satisfaction. A gap related to such an issue has been recommended in the further research recommendations along with other factors or sample groups, which are needed to explore deeply in the future

Technology is an essential and valuable tool nowadays. New technology and innovations are introduced to the public day by day. Metaverse will be a new trend, as the Macau government has been trying to promote this technology since the COVID-19 pandemic is still here. Before this technology goes deeply to the public, this paper attempts to examine the consumer’s perspective of Metaverse and understand the cognition of Macau people about Metaverse. And bring out what factors and conditions will make them accept this technology. A qualitative research method will address the questions and problem to understand consumer perspectives towards this technology. Entrepreneurs, managers, and professionals will be invited to take part in this research. Ten interviews will be carried out in this research for data analysis, which may provide a board overview of this technology in Macau and give recommendations to local entrepreneurs. In conclusion, consumers think it is still not a well-developed technology and is not globally used at this stage. In contrast, if this technology is ready-to-use, it will be a helpful assistant in their businesses. They expect the metaverse to be fully developed in ten or more years

Due to the expansion of the Internet and advancements in technology, e-commerce has been frequently and widely used nowadays. The popularity of online shopping continues to develop and become increasingly common, yet, the concept of impulsive buying has consistently drawn significant attention over the years. In order to fit into the current shopping trend, recognizing the needs and wants of online shoppers as well as providing appropriate approaches are essential tasks for companies to achieve. The question of how to attract consumers to make purchases has been a concern for a long time, and in fact, it is necessary to explore consumers’ online purchase decisions in relation to their impulse buying behavior. In accordance with current academic knowledge, the main objective of this study is to investigate factors that influence consumers' online impulsive buying behavior based on external stimuli (such as sales promotions and websites characteristics) and the elements of marketing mix strategy (product, price, place, and promotion). According to the analysis, the promotion strategy has been identified as the most significant influence on consumers’ decision to make an online impulsive purchase. Therefore, the findings from this study are beneficial for companies and marketers to build a framework in order to develop suitable and effective strategies in order to encourage and stimulate consumers' desire for purchases. Furthermore, the research applies the qualitative methodology by conducting semi-structured interviews with 11 consumers who have previously experienced an online impulse buying

Examining consumer perceptions of scent marketing in Macau's retail setting is the goal of this study. The study focuses on the following two primary uses of scent marketing in retail environments: subliminal application and application as a component of branding strategy. Qualitative research methodology is used. A total of ten consumer interviews produced the data. The findings show that consumers are in favor of scent marketing's use in retail settings. The use of scent marketing as a tool for establishing brands is preferred, and consumers find this approach to scent marketing to be more acceptable than its subliminal application. Although consumers believe that other factors, such as price, are typically more significant than scent when making purchases, the use of subliminal scents was not always evaluated negatively. Unless occasionally when making an unplanned purchase, consumers do not think that a subliminal scent can significantly impact their purchasing behavior

The world we live in today is constantly changing, with new technologies and innovations being introduced all the time. Through the continuation and innovation of Chinese medicine theories, scientific research methods, and progress, Traditional Chinese Medicine continues to evolve and develop more innovative Modern Chinese Medicine. In this research, Molecular Chinese Medicine is studied as a new form of Chinese medicine, intended to provide a more pleasant and safe experience for consumers. Thus, the objective of this study is to identify both positive and negative perceptions that contribute to the adoption of innovative technologies and their related products. In order to reach this goal, a robust value-based theoretical model is used. To examine behavioural intentions to adopt Molecular Chinese Medicine (MCM) in Macau, this study combines quantitative and qualitative methods. Thus, a Value-based Acceptance Model (VAM) was used to determine Macau citizens' attitudes towards Molecular Chinese Medicine, including their perceptions of its usefulness, enjoyment, technicality, and perceived fee, in relation to the perceived value of the product, which may ultimately determine adoption intentions. Structural Equation Modeling (SEM) was used to process a sample of 194 Macau residents. The data analysis supported our model's explanatory and predictive power and helped describe the characteristics of the local population. Our results provide insight into the acceptance of innovative products that may be useful in designing more accurate strategies and facilitating the introduction of MCM to Macau and similar markets. It was found that low perceived fees demonstrated a relatively strong positive correlation with potential users' perceived value, whereas usefulness and enjoyment showed a medium-strong positive correlation. Also, a strong positive correlation was found between potential consumers' perception of the value of Molecular Chinese Medicine and their intention to adopt it

Human emotions can be meticulously associated with decision-making, and emotion can generate behaviours. Due to the fact that it could be bias and exhaustively complex to examine how human beings make choices, important groups of study in finance are stock traders and non-traders. The objective of this work is to analyze the connection between emotions and the decision-making process of investors and non-investors to understand how emotional arousal might dictate the process of deciding policy. As facial expressions are fleeting, neuroscience tools such as AFFDEX (Real-Time Facial Expression Analysis), Eye-Tracking, and GSR (galvanic skin response) were adopted to facilitate the experiment and its accompanying analysis process. Thirty-seven participants attended the study, ranging from 18 to 72 years old; the distribution of investors and non-investors was twenty-four and thirteen, respectively. The experiment initially disclosed a thought-provoking result between the two groups under the certainty and risk-seeking prospect theory; there were more risk-takers among non-investors at 75%, while investors were inclined toward certainty at 79.17%. The implication could be that the non-investing individuals were less complex in thought and therefore pursued higher returns besides a high probability of losing the game. In addition, the automatic emotion classification system indicates that when non-investors confronted a stock trending chart beyond their acquaintance or knowledge, they were psychologically exposed to fear, anger, sadness, and surprise. Investors, on the contrary, were detected with disgust, joy, contempt, engagement, sadness, and surprise, where sadness and surprise overlapped in both parties. Under time pressure conditions, 54.05% of investors or non-investors tend to make decisions after the peak(s) of emotional arousal. Variations were found in the deciding points of the slopes: 2.70% were decided right after the peak(s), 37.84% waited until the emotions turned stable, and 13.51% were determined as the emotional indicators started to slide downwards. Several combinations of emotional responses were associated with decisions. For example, negative emotions could induce passive decision-making, in this case, to sell the stock; nevertheless, it was also examined that as the slope slipped downwards to a particular horizontal point, the individuals became more optimistic and selected the "BUY" option. The support of physiological monitoring tools makes it possible to capture the individuals' responses and discover the science of decision-making. Future works may consider expanding the study to more significant demographic populations for further discoveries