Articles in this Volume

Research Article Open Access
Interpreting the Post-Epidemic Banking Sector from a Game Theory Perspective — Using Silicon Valley Bank as an Example
Overview of the trend in the banking industry after the epidemic, regarding the rise of digital banking (neobanking) and customers’ investment behavior — a low-risk portfolio is what most people prefer. The trend of moving business from bank branches to online is a remarkable evolution during COVID-19 and is likely to be the future operation mode of the banking industry. From the general view of the banking industry to the specific bank, a case study of Silicon Valley Bank (SVB) is employed to explain the relationship between game theory and bank run. This paper focuses on identifying the failure of SVB through the discussion of economic aspects such as fund rate hikes and applying game theory and higher-order beliefs to SVB’s case. It finds out that the unique equilibrium for players is a bank run, which needs sound policy and tangible action from authorities to reduce its negative impact on customers and other financial institutions. SVB’s bankruptcy does not trigger another major financial crisis, but the severity of the bank run still needs to be taken seriously.
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Research on Marketing Strategies and Trends of Art Co-Branding in the Contemporary Fashion Industry
Art co-branding is an increasingly huge fashion industry trend with great potential and unknown risks. In this paper, marketing strategies and trends are the main focuses in terms of the art co-branding of fashion brands. The method used includes literature research and two case studies of Louis Vuitton collaborating with Yayoi Kusama and Dior Lady Art, examining their marketing strategies and performances. Increase in product value, maintenance of scarcity, and construction of in-depth customer relationships are the three main reasons contributing to the win-win outcome of art co-branding in the fashion industry. As a result, it is shown that art co-branding can contribute to highlighting the core of fashion brands and greatly increase brand awareness by choosing an artist with a matching concept through various marketing strategies. Art co-branding has the high potential to become widely used by fashion brands and act as an effective method to benefit all fashion brands in the future.
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The Impact of Innovation Management on the Electronic Communications Industry --Taking Huawei as an Example
Innovation management emphasizes continuous innovation through effective organization and resource allocation to improve competitiveness and promote sustainable development. The purpose of this paper is to explore the impact of innovation management on the electronic communications industry and to analyze it in depth with Huawei as an example. Through the research method of literature analysis, we find that innovation management plays a crucial role in the development of the electronic communications industry, and its impact on the electronic communications industry is mainly reflected in the three aspects of technology and product innovation, business model innovation and organizational culture innovation. Research on innovation management can help enterprises improve their competitiveness in a rapidly changing market environment and enhance their innovation capabilities in all aspects, thereby increasing their market share and profitability. It also helps electronic communication enterprises to maintain the leading position in technology and business models and to establish effective R&D processes and innovation mechanisms. In addition, research on innovation management can provide lessons for other electronic communication enterprises and even other industries, so that more enterprises and industries can better cope with the challenges of the market and realize healthy and sustainable development.
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Study on Brand Management of Fashion Brands
Amidst the backdrop of swift economic progression and surging consumption rates, the global goods market is witnessing heightened brand competition. This evolving scenario has rendered domestic fashion brands particularly susceptible to various external adversities. Prominent among these challenges are misconceptions in brand management characterized by inadequate market positioning, diminished market share, nascent brand imagery, evolving marketing channels, and stagnation in social marketing innovation. To traverse this intricate environment, businesses must champion a forward-leaning stance, assimilate insights from seasoned brand management practices, and perpetually refine their branding techniques. This deliberate nurturing aims to bolster and expand their brand equity. In light of these observations, this paper articulates multiple strategies to amplify brand management, encompassing the amplification of consumer desires, recalibration of fashion marketing paradigms, in-depth consumer behavior insights, nuanced focus on marketing touchpoints, adoption of holistic multimedia marketing avenues, and harnessing the potential of fashion communication ecosystems. This synthesis is envisioned to serve as a compass for marketing aficionados, equipping enterprises to carve a distinctive niche in a saturated market, thereby charting a trajectory for resilient growth.
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Research on Anchoring Effect
A psychological phenomena is the anchoring effect. It alludes to the idea of a person’s judgment or choice being influenced by an otherwise unrelated reference point or “anchor.” Once the anchor’s value is determined in numerical anchoring, the person’s following arguments, estimates, etc., may differ from what they would have been without the anchor. Traditional economics holds that people make rational decisions and are not distracted by meaningless numbers. The “anchoring effect” discovered by Daniel-Kahneman-and-Amos-Tversky is a very typical psychological bias, and it is a rejection of the assumption of a “rational person.” The anchoring effect refers to the fact that when people need to evaluate an event, they will use some specific value as an initial reference value, and this initial reference value is like an anchor that restricts the evaluation result.
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The Optimization of the Path to Energy Transformation in Areas of Weak New Energy Resources under the Double Carbon Background ---Taking Anhui Province of China as an Example
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“Double Carbon” is the abbreviation for emission peak and carbon neutrality. In September 2020, China proposed to strive to achieve an "emission peak" by 2030 and "carbon neutrality" by 2060. In this context, the process of energy transformation and new energy substitution is accelerating. And those areas with weak new energy resources urgently need to solve the transformation problems caused by limited local resources. Taking Anhui Province of China as an example, this essay studies the trend of energy development and changes, and compares Anhui with Jiangxi Province, which shares similar resource endowments, in order to explore energy transformation plans that are in line with provincially local conditions. The consumption of typical fossil fuels and the development conditions of new energy sources in Anhui Province are analyzed by using the methods of statistical and qualitative analysis. Based on the experience of transformation in neighboring Jiangxi Province and fully considering the functional orientation of Anhui Province in energy and economic fields in East China, this paper concludes that in Anhui Province, the efficient and safe utilization of local new energy resources should be given priority, along with actively promoting the technology of new energy generation and storage. Anhui Province should also strive to transfer existing rich new energy resources and promote cooperation in new energy supply with other provinces to improve the capability of energy guarantee, which may inject new impetus into economic development.
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The Impact of COVID-19 on Firm’s Financial Distress: Evidence from China
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COVID-19 has a significant influence on firm’s financial distress. How does COVID-19 influence firms’ short-term financial conditions and long-term development in China, and whether and to what extent will their financial leverage deviate from the original path? Can financing support from government as a bailout policy alleviate the financial distress caused by the epidemic? In order to exam my hypotheses, I did a series of exams. The sample includes all publicly listed Chinese firms from 2017 to 2022. Results show that the outbreak of Covid-19 makes firms more difficult to borrow money. H1 is supported. However, the interaction item has no corresponding data observation value. It is predicted to be positive, which means the politically connected firms are more likely to offset the bad influence of the external environment because they can access valuable financial resource easily than firms without political connections. It is not consistent with H2. The study not only extends the growing literature exploring the deep influence of the Covid-19 pandemic on business, but also has implications for policymakers.
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Research on the Synthesis of Hong Kong NFT Index Using Principal Component Analysis and Index Prediction Based on LSTM-Modified ARMA-GARCH Model
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With the advent of the Web3.0 era, virtual assets have gained prominence in individuals’ asset portfolios, making Non-Fungible Tokens (NFTs) increasingly significant within the financial trading landscape. To address the issue of multicollinearity in regression analysis, this paper employs Principal Component Analysis (PCA) to perform dimensionality reduction on five correlated foundational sectors. Moreover, to enhance the accuracy and reliability of predictive outcomes, the study combines the Long Short-Term Memory (LSTM) model with the Autoregressive Moving Average-Generalized Autoregressive Conditional Heteroskedasticity (ARMA-GARCH) model. Through the application of these methods and practical implementation, the study forecasts the NFT index of the Hong Kong stock market for the next 30 days. This forecasting of return volatility contributes vital insights for investment decision-making. The research complements and offers application recommendations in financial innovation, deepening, and regulation. By devising novel products and tools to meet investor demands, providing risk management and investment opportunities, the model’s predictive outcomes can be utilized in regulatory and risk management strategies within the national financial trading market. This study provides regulatory guidance, policy formulation insights, and envisions further refinements of the research methodology by integrating information shock effects.
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Analysis on the Development and Progress of Tianjin’s Digital Economy
In the modern era, the digital economy has emerged as a pivotal driver propelling global economic advancement. The rapid evolution of the digital economy has underscored Tianjin’s notable domestic competitiveness. This study conducts a comprehensive analysis to delve into the prominent challenges permeating the development of Tianjin’s digital economy. The analysis reveals that Tianjin is contending with several critical hurdles, including a sluggish pace of disciplinary development, constrained innovation capabilities, limited diversity of disciplines, and environmental pollution. Drawing inspiration from the accomplished strategies of digital economy front-runners in Beijing, Zhejiang, and Shanghai, this research distills three key characteristics that underscore successful digital economic growth. Based on these insights, the paper formulates a set of recommendations tailored to enhance the quality of Tianjin’s digital economy expansion. By drawing parallels between effective strategies and the unique context of Tianjin, this study aims to contribute to the augmentation of its digital economic landscape.
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Taking H&M as an Example to Analyze the Value Production of "Fast Fashion" Brands in Online Media Communication
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Under the background of rapid economic and technological development, the author analyzes the current situation and form of "fast fashion" in today's society, and takes H&M company as an example for analysis and investigation. Through the analysis of H&M company's personnel segmentation, corporate structure and sales proposition, understand H&M company's operation mode and business strategy. Then, by comparing the investment and income of H&M in a certain year, as well as the company's sales channels and market operation mode, the main performance and profit of H&M are analyzed. Draw a picture according to the obtained data, and give some reasonable suggestions and measures for improvement. At the same time, it also studies the influence and role of network media in the field of fast fashion. Through the analysis of the current situation of H&M, this paper expounds the advantages and disadvantages of "fast fashion" in the whole clothing industry and the future research direction.
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