Marketing Strategy Analysis of Migu Video App Based on 4I Theory

With the increasing maturity of 5G technology and the comprehensive development of video apps on the Internet,the landscape of video app downloads shows that Migu Video lags behind giants like iQiyi,Tencent Video,Youku,and Mango TV.However,during the Tokyo Olympics and the Beijing Winter Olympics,Migu Video’s focus on sports coverage and commentary led to increased public use and app downloads.This study analyzes the marketing status and strategy of the Migu Video App.It conducts a detailed analysis using the 4I theory-interest,interaction,individuality,and initiative-and proposes a brand marketing strategy tailored for Migu Video.This aims to provide insights into the marketing strategies of other mobile Internet companies.

Analysis of Young Girls’Eagerness to Spend for Disney Virtual Characters Based on Marketing Mix Theory

A virtual character is a design of a fictitious creature with distinctive characteristics created by people,and Disney virtual characters are those Intellectual Property(IP)images that appeared in Disneyland and Disney movies.This investigation aimed to explore why many younger females are keen to spend money on Disney virtual characters.This paper adopted the Marketing Mix Theory strategy(product,price,placement,and promotion(4P)),and the SWOT analysis method has been utilized.This paper investigated the relationship between the 4Ps and consumers’purchasing intentions,and it turned out that unique design and effective promotion in this Disney case would promote consumers’purchase intention,while the higher price and less accessible placements affected their purchase intentions.Thus,the high price and limited places somewhat inhibit customers’desire to buy;due to the attractiveness of the product itself and the promotion on the internet,the target consumers are still willing to consume.

Research on New Media Marketing Strategy of Quzhou Jianglang Mountain Scenic Spot Based on 4R Marketing Theory

With the increasing popularity of new media,new media marketing plays an increasingly important role in the marketing of tourism scenic spots,bringing a new marketing opportunity to tourism scenic spots.Based on the 4R theory in marketing theory,this paper takes Quzhou Jianglang Mountain as the research object and finds that the following problems exist in the new media marketing of Quzhou Jianglang Mountain:1.The new media users are not closely enough connected;2.the response to the new media market changes is not fast enough;3.the new media marketing relationship interaction is not timely enough;and 4.the return of new media marketing is not ideal.The new media marketing strategy of Quzhou Jianglang Mountain Scenic Spot is proposed from four perspectives:association,reaction,relationship,and return.Finally,the research on the new media marketing strategy of Quzhou Jianglang Mountain Scenic Spot based on the 4R theory is summarized.

Significance of Live Streaming in Shaping Business: A Critical Review and Analytical Study

With the rise of live streaming on social media, platforms like Facebook, Instagram, and YouTube have become powerful business tools. They enable users to share live videos, fostering direct connections between businesses and their customers. This critical literature review paper explores the impact of live streaming on businesses, focusing on its role in attracting and satisfying consumers by promoting products tailored to their needs and wants. It emphasizes live streaming’s crucial role in engaging customers, a key to business growth. The study also provides viable strategies for businesses to leverage live streaming for growth and customer engagement, underscoring its importance in the business landscape.

基于WebQual4.0和Kano模型的消费知识付费产品质量满意度研究——以喜马拉雅APP为例

本文以WebQual4.0和Kano模型为理论框架,深入研究消费者对喜马拉雅知识付费产品质量的满意度,旨在深入了解在知识付费市场中消费者如何看待和评价喜马拉雅知识付费产品以及如何提高其满意度。首先,对知识付费市场的现状和消费者行为进行了全面分析。通过对消费者使用知识付费产品的意愿和行为特征进行深入调查,能够了解其在知识付费市场中的需求和期望。此外,本文还关注了消费者对喜马拉雅知识付费产品的认知和评价,以获取更全面的信息,这一初步的分析为后续研究提供了有力的基础。其次,文章运用WebQual4.0评价体系对消费者在使用喜马拉雅知识付费产品时的满意度进行系统评估。通过考察网站的可用性、信息质量、服务互动等方面,能够客观地评估消费者体验,进而得出关于满意度的结论,目的是更深入地理解消费者在实际使用中的感受和期望。随后,文章引入Kano模型,对影响消费者满意度的因素进行深入剖析。本文认为,通过分析消费者对不同因素的期望和实际感受,识别出关键的满意度驱动因素,为制定后续的提升策略奠定了基础,进而能够有针对性地改进喜马拉雅知识付费产品的质量。最后,根据实证研究结果,文章提出了一系列喜马拉雅知识付费产品质量提高的策略,包括优化网站体验、提高信息质量、加强用户互动等方面的具体建议,旨在满足消费者的期望,提高其满意度。同时,本文对未来发展进行了展望,强调了在不断变化的知识付费市场中持续创新和提升用户体验的重要性。

Macro Perspective of Industry 4.0： Factors Affecting Value Creation Modules

Business needs to manage such a variety of things inside the firm or outside the business consistently. This factor affects the business in various ways. The factor which affects the business is clients, suppliers, distributors and so on. These all components are isolated from two sections full-scale environment and miniaturized scale environment. Macro perspective environment components are those external variables which are past the association＇s control. The problem of this study is guaranteeing a supportable evolvement of human presence in its social, ecological, and monetary measurement. So, we have to adapt test in order to outfit toward manageability. As for the method used in this study, it depends on using empirical framework to meet the interest of capital and buyer, in addition to supporting human presence in its social, ecological, monetary measurement. The paper is organised as following sections： first section is the introduction, second section is the literature review, the third section includes the research method, fourth one discusses the analysis, while the conclusion is in the fifth section.

Predicting Fintech Innovation Adoption:the Mediator Role of Social Norms and Attitudes

Digital innovation is challenging the traditional way of offering financial services to companies;the so-called Fintech phenomenon refers to startups that use the latest technologies to offer innovative financial services.Within the framework of the Theory of Planned Behavior(TPB)and the Theory of Reasoned Action(TRA),the primary purpose of this paper is to develop a causal-predictive analysis of the relationship between Subjective Norms,Attitudes,and Perceived Behavioral Control with the Intention to Use and Behavioral Use of the Fintech services by companies.Partial Least Squares Structural Equation Modeling methodology was used with data collected from a survey of 300 companies.Our findings support the TRA and TPB models and confirm their robustness in predicting companies’intention and use of Fintech services.Financial technology innovators must understand the processes involved in users’adoption to design sound strategies that increase the viability of their services.Studying the antecedents of behavioral intention to adopt Fintech services can greatly help understand the pace of adoption,allowing these players to attract and retain customers better.This study contributes to the literature by formulating and validating TPB to predict Fintech adoption,and its findings provide useful information for banks and Fintech companies and lead to an improvement in organizational performance management in formulating marketing strategies.

Cross Correlation of Intra-day Stock Prices in Comparison to Random Matrix Theory

We propose and apply a new algorithm of principal component analysis which is suitable for a large sized, highly random time series data, such as a set of stock prices in a stock market. This algorithm utilizes the fact that the major part of the time series is random, and compare the eigenvalue spectrum of cross correlation matrix of a large set of random time series, to the spectrum derived by the random matrix theory (RMT) at the limit of large dimension (the number of independent time series) and long enough length of time series. We test this algorithm on the real tick data of American stocks at different years between 1994 and 2002 and show that the extracted principal components indeed reflects the change of leading stock sectors during this period.

Estimation of Dynamic VaR in Chinese Stock Markets Based on Time Scale and Extreme Value Theory

The accuracy and time scale invariance of value-at-risk （VaR） measurement methods for different stock indices and at different confidence levels are tested. Extreme value theory （EVT） is applied to model the extreme tail of standardized residual series of daily/weekly indices losses, and parametric and nonparametric methods are used to estimate parameters of the general Pareto distribution （GPD）, and dynamic VaR for indices of three stock markets in China. The accuracy and time scale invariance of risk measurement methods through back-testing approach are also examined. Results show that not all the indices accept time scale invariance; there are some differences in accuracy between different indices at various confidence levels. The most powerful dynamic VaR estimation methods are EVT-GJR-Hill at 97.5% level for weekly loss to Shanghai stock market, and EVT-GARCH-MLE （Hill） at 99.0% level for weekly loss to Taiwan and Hong Kong stock markets, respectively.

BASIC EQUATIONS, THEORY AND PRINCIPLE OF COMPUTATIONAL STOCK MARKET (Ⅰ)──BASIC EQUATIONS

This paper studies computational stock market by using network model and similar methodology used in solid mechanics. Four simultaneous basic equations, i. e., equation of interest rate and amount of circulating fond, equations of purchasing and selling of share, equation of changing rate of share price, and equation of interest rate, share price and its changing rate, have been established. Discussions mainly on the solution and its simple applications of the equation of interest rate and amount of circulating fond are given. The discussions also involve the proof of tending to the equilibrium state of network of stock market based on the time discrete form of the equation by using Banach theorem of contraction mapping, and the influence of amount of circulating fond with exponential attenuation due to the decreasing of banking interest rate.Keyworks: stock market; network model; differential equation; contraction mapping; elasticity; methodology

Unlocking the Network Traffic Password of the Sudden Popularity of Oriental Selection:Consumer Behavior Decision-Making Mechanism Based on Mental Accounting Theory

This paper explores the decision-making mechanism of the consuming behavior hidden behind the sudden popularity of the Oriental Selection Company in terms of the mental accounting theory.Firstly,according to the“Non-alternative”characteristics of mental accounting,this paper expounds how the strategy of the bilingual live-streaming of Oriental Selection promoters stimulates consumers’desire to buy the advertised products and services whilst using the utility theory of mental accounting to analyze how Oriental Selection promoters improve consumers’acquisition utility and total utility.Secondly,we sum up the successful experiences of Oriental Selection:The live-streaming industry should apply the theory of mental accounting in effectively overcoming the shortcomings of the live-streamed marketing by stimulating consumers’desire and influencing their decision-making behavior through the streaming of content that triggers them to make purchases.This is achievable by abandoning the traditional ways of loudly urging consumers to buy goods.Finally,this paper puts forward some suggestions on how to use the mental accounting theory in promoting sustainable consumption and points out the prospects for Oriental Selection.

Financial Valuation of Segment-Specific Marketing Activities and Market Segment Development

By applying methods of investment appraisal, this paper offers a financial approach for determining the optimal level of segment-specific marketing activities and market development under the conditions of imperfect markets and uncertainty. Within the scope of marketing planning and controlling, the model is suited to optimizing an enterprise＇s market activities and taking interdependencies between market segments, production, and investments into account. Applying duality theory of linear programming allows for identifying the income determinants and deriving formulas for a correct valuation by using （corrected） net present values （NPVs）. Under certain conditions, they can also be used to easily evaluate and financially interpret the effects of parameter changes. The author uses sensitivity analysis to support these findings and to obtain more information on the effects of these determinants.

Research on the Marketing Strategy of Training Institutions of Guangxi Dongfang Yixue Education Group

The objectives of research are:(1)to determine the satisfaction data of K9 and K12 parents to the training institutions of Guangxi Dongfang Yixue Education Group;(2)to determine the quality of K9 and K12 teachers through PDCA theory;(3)through personal information survey,to compare parents’satisfaction with the marketing strategy of Guangxi Dongfang Yixue Education Group training institution;(4)through the investigation of teachers’work situation among the parents of the third year of junior high school and the third year of senior high school,the teachers who use PDCA theory in the training institutions of Guangxi Dongfang Yixue Education Group will be compared;(5)to provide guidelines for developing marketing strategies.On the basis of a large number of relevant literature,this paper investigates the factors that affect the marketing strategy of training institutions of Guangxi Dongfang Yixue education group,determines the objectives,constructs a model,and puts forward assumptions.Finally,descriptive statistical analysis,hypothesis test analysis and inferential statistical analysis are carried out through SPSS software.The study found that K9 and K12 parents have no differences in 7PS marketing strategies in terms of gender,age,education and income,and there are certain differences in their careers.K9 and k12 teachers have certain differences in the PDCA management system in terms of working hours,teaching ability and expression ability,but there are no differences in professional titles and education levels.

Research on Customer Satisfaction Based on 7Ps Marketing Mix Strategy:A Case Study of Suofeiya

Based on the situation of China’s custom home furnishing industry,this paper systematically analyzes the marketing environment and market competitiveness of China’s custom home furnishing industry.If an enterprise wants to produce in the market competition,marketing strategy is very important to the development and competition of the enterprise.Marketing strategy,based on Guangxi Suofeiya custom household customer satisfaction as the research object,based on the demographic characteristics and consumer behavior and marketing strategy,carries on the quantitative analysis of customer satisfaction,component factors affecting customer satisfaction index,set up 28 observation variables affecting customer satisfaction,uses the questionnaire survey,through the questionnaire star network distributed in the form of data collection;SPSS 22.0 descriptive statistical analysis,reliability analysis,validity analysis,correlation analysis,and regression analysis were carried out on the collected data.By studying the significance of demographic characteristics,consumer behavior,and marketing strategies,customer satisfaction,the results show that different aspects of gender,age,monthly household income,and occupations are different from customer satisfaction,but different education levels have no significant difference.According to the research conclusion,from the perspective of 7Ps marketing theory,optimization marketing suggestions are put forward for Sophia Company to improve customer satisfaction,so as to enhance its competitiveness in Guangxi home furnishing market,and provide reference for other customized home furnishing enterprises.

Higher Education in Taiwan： An Analysis of Trends Using the Theory of Punctuated Equilibrium

Taiwan is currently facing the serious challenge of decreasing enrollment in higher education institutes （HEIs） due to the oversupply of these institutions and decreasing birthrates. This has necessitated that policymakers implement new policies to meet the demands of the market. This paper uses punctuated equilibrium theory （PET） to explain the circumstances that led to the overexpansion of Taiwan＇s higher education institutions over the past decades. This article also analyzes the social contexts and ramifications of social conflict regarding public expectations and policy changes in the ideology of the educational reform movement.

The Formation and Major Breakthroughs of the Theory of Socialist Market Economy

① Without a correct reform theory, there can be no successful reform practice. Since the Communist Party of China (CPC) convened the Third Plenary Session of the 11 th Central Committee (December, 1978), a fundamental reason for the tremendous achievements China has scored is that it has had the guidance of Deng Xiaoping Theory. Broad and pro-

Research on the Selection of Supply Chain Marketing Models Based on E-commerce Service Levels

Based on the game theory,the service sensitivity coefficient is introduced to construct four marketing game models,which include a single flagship store,a single self-operated store,a direct sales-flagship store,and a direct sales-self-operated store,in combination with numerical analysis methods to analyze manufacturers and e-commerce platforms in different situations.The study found that the service levels affected the profit of each entity in the supply chain.The service levels of self-operated stores were higher than those of the flagship stores,and the opening of direct sales channels had a stimulating effect on the service levels of e-commerce platforms to a certain extent.In consideration of the service levels and the ability to build direct sales channels,the direct sales-flagship store marketing model is the best choice for manufacturers whereas e-commerce platforms are more inclined to open self-operated stores.However,the opening of manufacturers'direct sales channels is not necessarily beneficial to e-commerce platforms.

The Analysis of Marketing Strategy of Plendil

Objective To provide marketing strategies suitable for the characteristics of the Chinese market by determining the strengths,weaknesses,opportunities and challenges of Plendil through SWOT analysis.Methods SWOT analysis of Plendil shows that the product is well-known with safety,tolerance,excellent performance,and good brand image.In addition,great market potential,and the gradual improvement of the medical market and the health insurance system all provide an exciting opportunity for its development.However,weaknesses and threats still exist,including unsound marketing policy and remuneration incentive system,poor channel control,fierce market competition,competition from foreign companies and domestic generic drugs,and the intensified state supervision efforts.Accordingly,our company shall speed up the design of marketing portfolio strategy through 4P theory.Results and Conclusion Establish brand image and ensure high quality products are conducive to maintaining advantages;Improve sales cost policy and salary incentive system,and strengthen channel control are conducive to overcoming disadvantages;Actively carrying out academic promotion is conducive to seizing opportunities;Accelerating product upgrading,formulating reasonable pricing strategies and developing relationship marketing are conducive to the company to cope with threats and maintain an advantageous position in the fierce market competition.

国家科技报告服务系统用户调查及服务优化策略研究

针对国家科技报告服务系统目前服务存在的问题,提出相关优化对策,以推动科技报告实现价值最大化。基于科技报告服务业务实践,结合5R营销理论,通过问卷调查获取用户关联、用户体验、用户需求等一手数据,识别服务优化关键问题。调研显示,用户对NSTRS总体使用感受较好、认可度较高,但在系统性能、资源获取与整合、服务细化等方面仍有很大提升空间。以用户为中心,从加强用户关联提升系统知晓度、响应用户需求提升用户感受、建立良性互动关系强化用户认可3个层次构建NSTRS服务优化方案,为深化服务促进科技报告传播提供参考。

风氢耦合系统参与现货市场的竞标策略及优化调度方法

为解决高比例风电市场竞标能力弱、市场消纳困难的问题,提出高比例风电耦合氢储能系统联合参与现货市场竞价的双层Stackelberg博弈模型。首先,研究风氢耦合系统内部能量转换关系,揭示风氢耦合系统的能量“时空平移”机理,在综合考虑风氢耦合系统收益和成本的基础上,建立风电投标和氢储能充放电决策模型;其次,兼顾风氢耦合系统和独立系统运营商的利益诉求,基于Stackelberg博弈建立以火电机组、风氢耦合系统为主体的市场出清模型;最后,针对双层模型求解困难的问题,运用KKT条件和强对偶理论将双层模型转换为易于求解的单层混合整数规划模型。仿真结果表明,所提策略对高比例风电的市场消纳起到了积极作用。