This study focuses on the cyclic trend of storage chip prices, which are influenced by such factors as technological upgrades, macroeconomic policies, and global demand and supply size. To be specific, through the history of a few major semiconductor manufacturers including Samsung and Micron that provide historical data, plus macroeconomic indicators such as GDP growth, inflation, and global trade conditions, the study uses the time series analysis that includes the ARIMA model to recognize the price cycles as regular events. Apart from time series analysis, the regression models were used to ascertain the influence of the macroeconomic variables in price fluctuations. The results concluded that storage chip prices follow a certain pattern, meaning that periods of economic growth cause price hikes facilitating investment opportunities while recessions open up possibilities for long term buyoffs at low prices. The scholars noted that traditional econometric models are helpful, but it is also notable to provide real time market evaluations and see new technologies that the entrepreneur should be aware of their forecast future price trends. In general, the fundamental ground for investors to deal with the fluctuation of the semiconductor market that is based on these cyclical trends is presented in the paper.

In the ever-evolving landscape of global business, few companies have managed to carve out a niche as distinct and influential as IKEA. This Swedish furniture giant has not only transformed the way we furnish our homes but has also left an indelible mark on the very fabric of modern business strategies. This paper delves into the secrets behind IKEA's resounding success in the global furniture and home goods domain. It explores the company's diverse strategies, including its innovative marketing that shapes a distinct brand image and reaches the target market effectively. The efficient supply chain, with global sourcing, optimized costs, and quality control, ensures seamless operations. The unique design philosophy, influenced by Scandinavian aesthetics and focused on functionality, keeps products appealing. The customer experience, both in-store and online, along with customer relationship management, builds loyalty. Through comprehensive analysis, this study offers a holistic understanding of IKEA's business model and its competitive edge, providing valuable insights for the industry.

Over the past 40 years, China’s digital transformation, driven by the Internet and mobile devices, has reshaped consumption patterns, making online shopping a key economic growth driver. This paper first analyzes the needs and characteristics of Chinese consumers in online shopping behavior. Then, through empirical analysis, we study the effects of price, logistics speed and income on online shopping behavior. Secondly, this paper discusses the impact of e-commerce on the traditional retail industry and its countermeasures. With its price advantage, rich product selection and 24-hour service, e-commerce has had a significant impact on the traditional retail industry. The traditional retail industry needs strategic adjustment and transformation to adapt to the new market environment and consumer demand. Finally, this paper discusses the impact of online shopping on economic growth, increasing consumption and expanding domestic demand from the perspective of consumers, promoting urban economy from the perspective of sellers, and promoting the overall development of regional urban economy from the perspective of logistics companies, and puts forward policy recommendations to support the sustainable development of e-commerce

With the rapid development of global e-commerce, digital retailing has become an emerging trend, forcing companies to continuously adjust and optimise their supply chain strategies to enhance market competitiveness. This essay will focus on analysing the supply chain optimisation strategies of Jingdong, a leading technology-driven e-commerce platform in China, during its transformation from a traditional e-commerce to a digital eco-retailer. The study focuses on JD's data quality and management issues supply chain innovation, and model adaptation issues. Through case studies on technological innovation, logistics expansion, and ecosystems, it is found that JD has achieved significant results in matching supply and demand and logistics efficiency. The results of the study show that JD has successfully constructed a highly flexible and responsive supply chain system through comprehensive data analysis and systematic integration of intelligent technologies, and this transformation has not only enabled JD to stand out in the highly competitive market but also provided a successful case for promoting the digital transformation of the whole industry. The significance of this paper is to analyse JD's supply chain optimisation strategy to provide a reference case for academia and corporate practice.

Driven by the green economy, data assets, as vital resources for business digital transformation and innovation, are becoming central elements in promoting sustainable business development. With the increasing global environmental awareness and implementation of green economic policies, how to effectively value and price data assets has become a key issue in corporate strategic management. This paper analyzes existing data asset valuation models and, considering the policy impacts under the green economy, discusses how to build a resilient data asset valuation and pricing system within the green economic framework. The study shows that reasonable data asset valuation can not only optimize resource allocation but also enhance innovation capabilities and competitive advantages, ultimately aiding in achieving long-term sustainable development.

In recent years, sustainability has become important for professional sports, including tennis. For example, major tournaments such as Wimbledon, the U.S. Open, and the Australian Open have taken steps to ensure economic stability in response to environmental change. This study investigates the balance between ecological building responsibilities, development, and economic interests in these high-level professional tennis tournaments. The study focuses on how tennis tournaments identify ecological issues and implement measures to protect them, such as alternative methods of addressing wasteful consumption such as renewable energy. In addition, the study analyzes and evaluates the economic outcomes and impacts brought about through tournament reports, sponsorship agreements, and media coverage. The results of the study suggest that although achieving a balance between sustainability and economic goals is a complex task, it is critical to the future of tennis, as sustainability is key to the sport's longevity and allows tennis to maximize its benefits in maintaining its relationships with fans, sponsors, and hosts.

With the emergence of new, powerful modern computing technologies in recent years, there is a growing interest in revolutionizing traditional supply chain management through digital transformation, aiming for greater efficiency and profitability. This paper evaluates the possible integration of modern technologies with the supply chain system through literature reviews. It introduces the evolution and drawbacks of traditional supply chain management, highlighting the significant benefits that modern technologies can bring. By investigating real-life cases and their application in various industries, this research offers an all-inclusive assessment that portrays how such methods can ameliorate effectiveness, transparency, and decision-making at different stages of supply chain management but at the same time, also pose challenges for the business. Therefore, this paper aims to raise awareness among readers and enrich their understanding of the various issues related to this subject matter.

The rapid development of fintech over the past decade has dramatically changed global financial markets and profoundly influenced investor behavior. This paper examines the impact of fintech innovation, particularly robo-advisors, blockchain technology, and social trading platforms, on investor behavior through the lens of behavioral finance. By reviewing the existing literature, this paper explores how these techniques affect decision-making processes, market efficiency, and investor biases such as overconfidence, loss aversion, and herding behavior. The study found that through algorithms and automated investment management, robo-advisors can mitigate certain behavioral biases, but can also introduce new challenges, such as over-dependence. The inherently volatile and decentralized nature of blockchain technology and cryptocurrencies magnifies speculation and introduces new biases. Social trading platforms, while democratizing access to financial markets, have exacerbated herding behavior and short-term speculation. The study identifies gaps in current research, including the need for long-term impact studies and ethical considerations, and suggests directions for future research, such as exploring new behavioral biases and improving regulatory frameworks. Overall, fintech innovation offers great potential for improving market efficiency and financial inclusion, but it also presents new challenges that require ongoing investigation and adaptation strategies.

China has entered a "new normal" characterized by high-quality development driven by digital intelligence. The 2024 Government Work Report emphasizes that the logistics industry is gradually forming a new green logistics ecosystem through technological innovation and industrial restructuring, laying the groundwork for a green, low-carbon supply chain. The role of national logistics hubs in urban logistics aggregation and radiation is continuously enhancing. However, logistics enterprises remain at the initial stage of environmentally sustainable development. Therefore, it is essential and practically significant to construct a sustainable development assessment system under the context of digital intelligence and dual carbon goals. This study focuses on the construction of a logistics assessment index system, utilizing the Triple Bottom Line (TBL) principle to conduct a comprehensive analysis of logistics processes from social, economic, and environmental dimensions. It investigates green management strategies for enterprises and proposes actionable suggestions to address issues related to an excessive focus on short-term financial targets and an incomplete performance evaluation index system. This framework aims to adapt to the demands of intelligent and flexible upgrades, thereby promoting the long-term sustainable development of logistics enterprises.

With the growing aging population in Shanghai, ensuring that the elderly "have something to rely on and enjoy" has become a pressing issue. Concurrently, Shanghai's economic growth has slowed in recent years due to the impact of the COVID-19 pandemic and China's economic transition to a "new normal," leading to a decline in economic vitality. This paper explores whether reform and innovation in the elderly care industry can stimulate domestic demand and drive economic development in Shanghai. Using a combination of qualitative and quantitative research methods, including a questionnaire survey, the study analyzes awareness of pension financial products, government policy support, and innovation in the elderly care sector. Findings indicate that despite Shanghai's advantages in population quality and standard of living, there is a lack of awareness among the elderly regarding pension financial products and room for improvement in government support and industry innovation. The paper suggests that enhancing understanding of pension products, improving government policies, and fostering innovation in the elderly care industry could effectively stimulate Shanghai's economic potential. These measures could provide a reference for developing the elderly care industry in Shanghai and across China, offering a new approach to addressing aging challenges and promoting sustainable economic growth.