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Macau's retail industry was familiar to all sectors. Retailers take up massive responsibility for the Macau economy. There are few manufacturers in Macau, so products and goods are imported. As the front-line staff of a retail store, employees would need to face many people daily; it can be tiring and stressful for them. Therefore, this study examined the motivational factors of front-line staff in the retail industry. It is crucial to understand various motivational factors, as one of the challenges that retail entrepreneurs face is employee retention. This study evaluated the characteristics of motivation so that managers can develop some strategies for their employees. The qualitative research method was adopted in this study. In-depth interviews were conducted to determine various motivators and the reasons behind their motivation. This study used purposive sampling, and eight candidates were selected to conduct the interview. The results of the interviews concluded that monetary rewards like salary and sales incentives have the most significant effect on motivation. Relationships with colleagues and superiors also affect their motivation in the working environment. Moreover, employee benefits like public holidays, maternity leave, etc, are also one of the motivators. Different participants mentioned other motivators, such as recognition, teamwork, learning and growth opportunities, teamwork, and fit of interest. Based on the research question, this study concluded that monetary rewards have a larger effect on employees' motivation than job benefits. Managers and leaders can develop strategies based on this research, and future research can also examine some other motivational factors with a larger sample

In early 2020, the COVID-19 virus spread rapidly around the world within months. After countries around the world announced the outbreak of COVID-19, many industries suffered a severe recession, but a few industries were able to buck the trend and maintain good performance. The outbreak has driven strong demand for medical products and pharmaceuticals. As the epidemic continues to spread, people are in urgent need of drugs and vaccines to treat COVID-19, which directly promotes the development of the pharmaceutical industry (Alam et al., 2021). This study aims to explore the impact of announcements from the World Health Organization (WHO) or similar official agencies on the development of the epidemic during the COVID-19 epidemic on the stock prices of specific pharmaceutical companies. The study uses event study methodology to analyze the impact of events in the COVID-19 pandemic on these companies. Through an event study on 7 major events during the COVID-19 pandemic, this study found that the stock price changes of different pharmaceutical companies are not uniform. The WHO announcement of a global pandemic and the emergency authorization announcement of drugs have had different significant impacts on different types of pharmaceutical companies. This study provides new information for understanding the stock return change of specific pharmaceutical companies during the COVID-19 epidemic

Today, social media has become one of the main marketing strategies used by marketers and practitioners to target travelers from all over the world. Macau is a city that relies heavily on tourism for economic development, however, little is known about how social media affects tourists’ choices to travel to Macau. This study explores the role of the popular social media platform Xiaohongshu in influencing Chinese tourists’ travel decisions and information acquisition when visiting Macau. This article uses qualitative research methods to conduct semi-structured interviews with 15 participants. Research shows travelers rely on Xiaohongshu’s user-generated content and detailed guides. Food, route selection and itinerary arrangements, and short-term itinerary arrangements are the most frequently mentioned search tags by travelers. The platform’s personalized recommendations and efficient content presentation enhance the user experience, but concerns about content credibility remain, especially the potential for commercial bias in food recommendations. Travelers assess the credibility of content through a variety of strategies, including looking at multiple posts, evaluating user interactions, and the platform’s IP address display capabilities. Although travelers pay more attention to positive reviews when deciding to travel to Macau, users also consider travel pitfalls posts to improve their travel experience. In addition, travelers are less willing to share content on the Xiaohongshu platform after the trip, which is attributed to personal habits and perceived creativity complexity. The research results provide relevant practitioners with the perspectives and decision-making behaviors of Chinese travelers who use Xiaohongshu when making itineraries to Macau, and provide guidance for their marketing strategies.

The global food industry generates substantial waste, posing significant environmental, economic, and social challenges. This dissertation explores circular business strategies for food waste management, aiming to develop an efficient model that integrates circular economy principles and innovative technologies. Key research questions include: What are current food waste management practices? How can circular economy principles reduce food waste effectively? What role can technology play in improving these systems? The study also examines barriers to implementation and identifies gaps in existing literature. The methodology involves a comprehensive literature review, case studies, and the development of a detailed mathematical model. The literature review covers circular economy concepts, current food waste treatment technologies, machine learning and Al applications in waste management. Case studies from various countries provide insights into regulatory frameworks and innovative solutions. Central to this research is the mathematical modelling of food waste management systems. The model employs Hamiltonian and/or Lagrangian formulations to optimise waste transportation and processing. This approach allows for the simulation of various scenarios, helping to identify the most efficient pathways for food waste reduction and resource recovery. The model also incorporates phase transitions better to understand the dynamics of waste generation and treatment processes. Phase transitions mark changes on tendencies and in this case they help us to evaluate the viability of the construction of a fast track for the transportation of food waste in any city. Results indicate that adopting circular economy principles in food waste management is feasible and beneficial. Effective strategies include bioplastics, insectutilisation, and machine learning models for waste prediction and management. The developed mathematical model suggests efficient waste transportation through a coupled network approach, ensuring rapid and effective waste evacuation. The research highlights the importance of technological integration and cross-sector collaboration for sustainable food waste management. It also stresses the need for robust regulatory frameworks and consumer education to drive behavioural changes and support circular practices

The development of non-gaming facilities will shape the future of Macau's gaming industry. These amenities include food and retail, which have become vital in increasing customer satisfaction and loyalty since they offer other services other than gambling. In the future, as casinos shift their strategies to focus on non-gaming aspects, it will be crucial to build detailed profiles of casino visitors based on how much they spend on non-gaming products and services. Changes in the legal framework of the gaming industry and shifts in market demand have forced casinos to turn to other forms of tourism and cultural services, address legal requirements, and minimize risk. Furthermore, external factors such as stringent gaming laws, fiscal measures, and increasing competition from other regional gambling jurisdictions, including Singapore and the Philippines, threaten the casino gaming business. In response to these threats, Macau's casinos are paying more attention to cooperation within the tourism industry and enhancing their non-gaming offers to sustain their market position and grasp new options. Therefore, the future of Macau's gaming industry will be determined by the strategic planning of its future developments, focusing on non-gaming activities, target visitors, compliance with the new laws, and the ability to overcome external challenges to ensure market competitiveness.

In the wave of digital transformation, Chinese banks have taken digital and scenario-based finance as primary strategic goals. The goal is to revolutionize the mobile banking experience and encourage frequent use of mobile banking services. However, assessing customer satisfaction with the various financial and contextual services mobile banking provides is crucial. The main objective of this study is to propose a model based on users' perception of financial usage in mobile banking scenarios and how the development of mobile banking finance and scenarios affects users' choice motivations. The study examined the interview records of 12 mobile banking users through qualitative in-depth interviews and utilized Nvivo qualitative analysis software to analyze the interview content. Through repeated thinking, sorting, and differentiating the data, nine core coding categories were formed. The coding was further refined and deepened to include Financial professionalism, Security, Marketing Stimulation, Innovative Products, Use Experience, Strong Relationship, Trust, Perceived usefulness, and Willingness to use. Based on these categories, a theoretical model of user willingness in the financial scenario of mobile banking has been proposed by referring to the optimized TAM model. The results may provide support to the banking industry in Macau in understanding customers' needs and fostering the positive development of mobile finance and the scene field in Macau

China leads in global automobile production and sales, but fuel vehicle usage causes energy crisis and pollution. Electric vehicles, as energy-saving and environmentally friendly transportation, can alleviate urban ecological pressure and reduce dependence on non-renewable energy. Development of electric vehicles is thus prioritized. However, the current electric vehicle market is immature and faces slow growth due to various constraints. Despite state policies, market performance lags, and consumer acceptance is low, leading to a mismatch between praise and sales. Therefore, exploring factors influencing consumer demand and purchase intention for electric vehicles is crucial. This paper focuses on consumer perceived value to study factors affecting second-hand electric vehicle resale value, offering practical relevance and value. Consumer behavior theory suggests that consumers' purchase decisions hinge on their perception of a product. Consumer perception involves a subjective, overall evaluation of a product or service based on usage purposes and needs, and an analysis of relevant information from various channels. For used electric vehicles, perception includes understanding of appearance, function, cost, and performance.This study aims to analyze factors affecting the resale value of used EVs and explore consumers' perception of this value. Guided by consumer perception, the study conducted a literature review-based comprehensive analysis and qualitative exploration of used EV resale value. The findings reveal that price, battery performance, endurance, environmental protection, and safety significantly impact the resale value of used EVs. Finally, combined with the research conclusions of this paper, management suggestions are put forward, and countermeasures are summarized from the two levels of government and second-hand electric vehicle marketing enterprises

As one of the world's leading technology companies, HP occupies an essential position in the printer and personal system markets. In order to analyze HP's current market value and predict its future financial performance, this thesis values HP by applying three models: EDCF, DEP, and APV. Based on the financial statement from 2019 to 2023, this thesis conducts a common size analysis of the financial data to facilitate the comparison between various indicators. HP's asset structure and profitability are analyzed and the company's beta is also tested. To analyze HP's position and environment in the technology industry, Dell Inc. will be analyzed as its main competitor. At the same time, the intrinsic value of HP is estimated based on the financial statements for the next ten years which is predicted. The valuation results are compared with HP's stock price at the end of 2023 to determine whether HP's stock price is overvalued or undervalued. In order to improve the accuracy of the valuation, sensitivity analysis is also used to evaluate the impact of variables such as internal factors and external market factors on the company's value. Studies have shown that HP's intrinsic value is greatly affected by the market risk premium. This thesis also uses SWOT and PESTEL to analyze the company's strengths, weaknesses and operating environment which will help to identify the company's competitiveness. It also helps to identify HP's potential opportunities and risks in technological innovation and market expansion. The impact of the macro-economy on HP's development is also analyzed. The results of this thesis provide a reference for investors and management, which helps to understand the market positioning and future development potential of HP and other technology companies. The limitations of the study are the subjectivity of data forecasts and the uncertainty of the market environment

Since the advent of Bitcoin, cryptocurrencies have emerged as a transformative financial technology. Over the years, blockchain has provided decentralised and secure transaction methods that have become increasingly attractive to individuals and businesses, leading to their rapid global adoption driven by consumer preferences and the growing digitalisation of the financial system. This dissertation examines the factors influencing the widespread acceptance of cryptocurrencies, including their potential for the financial market, the impact of regulatory frameworks, and the role of blockchain technology. The research questions are: (RQ1) What is the degree of adoption of cryptocurrencies in different countries and regions (RQ2) What are the factors that influence the adoption of cryptocurrencies in different countries or regions as identified in extant research? (RQ3) What are the implications for countries or regions that have not adopted cryptocurrencies? This study analyses 108 documents, including university academic papers, financial report articles, etc. The analytical tools include automatic coding, manual coding, word cloud, word frequency table, cluster analysis, hierarchical chart in NVivo, followed by a thematic network analysis. Six keywords, ‘bitcoin’, ‘blockchain’, ‘financial’, and ‘market’ have the highest frequency. This study also analyse different regions with different degrees of cryptocurrency adoption separately: countries where cryptocurrencies are legal, countries that use Bitcoin as a legal tender, and countries that ban cryptocurrencies. The thematic network model indicates that while cryptocurrencies offer significant opportunities for innovation and economic growth, social awareness, government institutions, technology, security, price value, and individual consumer factors are critical to addressing inherent challenges and fostering a stable adoption environment. For non-cryptocurrency regions, rethinking their stance on cryptocurrencies is key to avoiding derailing world financial markets.

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

This study investigates the factors influencing customer adoption of Internet Banking Services in Macau through a quantitative approach utilizing a customer survey. As digital banking continues to evolve, understanding the determinants of adoption is critical for financial institutions seeking to enhance their offerings and engage with diverse customer segments. A sample of over 100 respondents was surveyed, capturing essential demographic information, technological proficiency, and attitudes toward Internet banking. The analysis employed descriptive and inferential statistical techniques, including regression analysis and factor analysis, to identify key relationships and underlying factors influencing adoption. The findings reveal that perceived ease of use, security concerns, and prior banking experience significantly affect customers' likelihood of adopting Internet banking services. Additionally, demographic variables such as age, occupation, and nationality emerged as important predictors of customer attitudes toward online banking. The results of this research provide actionable insights for banks and financial institutions in Macau, highlighting the need for targeted marketing strategies and enhanced user experience to foster greater adoption of Internet banking. This study contributes to the existing literature on digital banking adoption in the region and serves as a foundation for future research in this dynamic field.

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