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An Integrated Framework of Competition in Consumer Markets A Synthesis of Patterns of Competitive Dynamics in 24 U.S. Markets
The objective of this paper is three-fold. One is to evaluate the results of Hierarchical Cluster Analysis (HCA) of 24 consumer markets, and learn about the picture of competitive dynamics revealed by this review. Second--and most importantly--is to propose an integrated framework of competition in consumer markets. Third, the important lessons--and valuable insights--we can learn from this extensive research. The path to market share leadership does not lie in lower price founded in cost leadership strategy, as Michael Porter suggests. Rather, it is based on the premise that it is customer-perceived quality that is crucial to long-term competitive position and profitability. So, the answer to market share leadership for a business is to differentiate itself by offering quality better than that of the nearest competition. The best route to market share leadership lies in serving the middle class by competing in the mid-price segment. This is the socio-economic segment that represents about 40% of households in America. The 24 U.S. consumer markets have been divided into six groups. Employing Hierarchical Cluster Analysis (HCA), we have tested two hypotheses for each market: Hypothesis I: That the market leader was going to be a member of the mid-price segment. Hypothesis II: That the unit price of the market leader was going to be higher than that of the nearest competition. Results in fourteen markets supported Hypothesis I: a 58% success rate that is surely remarkable. Results in eleven markets supported Hypothesis II. Next, we present the philosophical foundation of a business: That there is only one valid definition of business purpose: To create a customer. That the concept of a customer can be both a philosophy and a practical guide. Next, we present an integrated framework of competition in consumer markets. Because its purpose is to create a customer, a business has only two entrepreneurial functions: marketing and innovation. Marketing is the first entrepreneurial function. It is a concern that must permeate all of an enterprise. It is the lens through which one can see the whole business from the customer’s point of view. Innovation is the second entrepreneurial function. Like marketing, innovation, too, cuts across the entire business. We have learnt three important lessons from this extensive research: It is at the Brand level where real competition takes place, and where the rich dynamics of competition reveal themselves. A deep understanding of customers should be the primary mission of a business The importance of Brand Equity We have gained two valuable insights from this major endeavor Coffee prices on the world market are lower than the cost of production. Industrialization of American food has led to heart disease, diabetes, stroke, and cancer
Copyright (c) 2025 Y. Datta http://creativecommons.org/licenses/by/4.0
The Operational Mechanism, Risk Challenges, and Development Paths of Generative Artificial Intelligence Empowering New Productive Forces
The empowerment of new productive forces by generative artificial intelligence has become a new trend. Examining the development of generative artificial intelligence empowering new productive forces based on Marxist views of science and technology provides a viable reference for the current global economic recovery. Research methods based on mechanisms, risks, and paths are employed. From the perspective of operational mechanisms, it is the era manifestation of Marxist views of science and technology, adhering to the path of green development, embodying the theme of high-quality development, and embedding the core elements of scientific and technological innovation; from the perspective of risk challenges, there are risks such as technological monopoly hindering scientific and technological innovation, algorithm recommendation eroding subject creativity, data leakage challenging ethical risks, and protectionism impeding international cooperation; from the perspective of development paths, feasible strategies are proposed, including strengthening scientific and technological self-reliance to deepen scientific and technological innovation, open-sourcing algorithms to unleash subjective initiative, implementing supervision to establish data authority, and promoting talent exchange through international cooperation. It is concluded that empowering new productive forces by generative artificial intelligence must adhere to Marxist views of science and technology.
Copyright (c) 2025 Dongze Cheng http://creativecommons.org/licenses/by/4.0
Research on the Factors Affecting Soybean Futures Price in China
With the optimization of China's futures market system, our country has a more sound futures trading system. Soybean futures are an important variety of agricultural futures. The fluctuations in the soybean futures market will have a strong impact on operators, investors, and farmers. Therefore, analyzing its influencing factors is of great significance for predicting the fluctuations of soybean futures prices. Against the backdrop of the increasingly sound system of China's futures market, soybeans, as a core agricultural futures product, have significant impacts on all parties in the industrial chain due to their price fluctuations. To accurately predict price trends, this study integrates theoretical and literature-based approaches, selecting key variables such as the US dollar exchange rate, market supply and demand, and the closing price of the soybean oil index. Through principal component analysis, three principal factors were extracted from 13 initial factors, and a regression model was constructed between these factors and soybean futures prices. The empirical results show that the rise in the closing prices of soybean oil and soybean meal indices is a significant driving force behind the increase in soybean futures prices. Based on this, the study provides specific recommendations for price prediction and risk management in soybean futures.
Copyright (c) 2025 Guanyu Liu http://creativecommons.org/licenses/by/4.0
Unraveling the Causal Relationship between Inflation Uncertainty and Rates of inflation in GCC Countries
This study investigates the links between rising inflationary pressures and monetary policy uncertainty (Inflation Uncertainty) in the GCC economies. After discovering cross-sectional dependency among the countries as an index of their reciprocal developmental traits, we used the bootstrap panel Granger causality approach. Individual nation research reveals that only KSA has a bidirectional correlation between high global inflation rate pressures and economic policy uncertainty, whereas Bahrain has no causality. The United Arab Emirates and Qatar exhibit bidirectional causality between high global inflation rate pressures and domestic economic policy uncertainties. Domestic economic policy uncertainty has no bearing on KSA's high global inflation rate pressures; thus, there is a one-way causality from high global inflation rate pressures to domestic economic policy uncertainty in KSA. Overall, economic policy uncertainty influences high global inflation rate pressures in these nations, while high global inflation rate pressures and domestic economic policy uncertainty mutually impact each other. Overall, the GCC countries would benefit from an augmented Taylor rule that includes financial stability as an extra monetary policy aim. It is necessary to make a more general adjustment in the model dynamics underlying the shock transmission mechanism.
Copyright (c) 2025 Hassan Tawakol A. Fadol, Duaa Alquyt http://creativecommons.org/licenses/by/4.0
Application of Creative Experiential Marketing in Vanke Real Estate
With the continuous development of China’s real estate market and the continuous improvement of people’s living standards, the home buyers’ demand for emotional experience has been constantly aroused, thus making emotional experiential marketing more important in customer behavior. In the era of pursuing personalized experience, experiential marketing has become a powerful means for enterprises to achieve stRung competitiveness. It is usually connected with the creation of an atmosphere, an environment and a situation, the completion of a process and the making of a commitment, and sometimes it needs a customer’s active participation. This paper is based on Vanke’s real estate marketing, first gives a detailed introduction to the real estate experience in terms of the experience economy, experiential marketing and emotional experience, and then analyzes the application of experiential marketing in real estate marketing from product experience, user-friendly experience, scene setting experience and theme interactive experience to discuss how experiential marketing is implemented in Vanke’s real estate, learn from it and provide reference of effective experience for future researches.
Copyright (c) 2025 Wei Bi http://creativecommons.org/licenses/by/4.0
Dynamic Links between Exchange Rate, Inflation and Economic Growth in Tunisia
This paper investigates the dynamic links between the exchange rate (T), the inflation (I) and the economic growth measured by (GDP) in Tunisia, using annual data during the period 1998–2014. First, we implement unit root analysis to test the stationary. The study makes use of both primary and secondary data and VAR Granger Causality/Block Exogeneity Wald Tests was adopted as the estimation techniques. Granger causality results reveal that there is a bidirectional causal link between the inflation and economic growth and a unidirectional causal link running from the inflation to the exchange rate. This study provides some implications regarding potential constraints on monetary policy.
Copyright (c) 2025 Fahima Charef, Fethi Ayachi http://creativecommons.org/licenses/by/4.0
Research on the Dilemmas and Paths of Promoting Rural Revitalization through Digital Technology
As the soul and core support of the rural revitalization strategy, the revitalization of rural culture is deeply embedded in the overall requirements of "prosperous industries, ecological livability, civilized rural customs, effective governance, and prosperous lives". It is not only the key to solving the imbalance in urban-rural development and meeting the growing needs of farmers for a better life, but also the only way to preserve the rural roots, activate the spiritual core of rural society, and inherit excellent traditional Chinese culture. With the rapid development of digital technology, its value in cultural protection, cultural dissemination, and cultural industry development has become increasingly prominent, bringing unprecedented opportunities for the revitalization of rural culture. However, due to various factors such as infrastructure, human resources, digital literacy of villagers, and institutional mechanisms, the actual role of digital technology in the revitalization of rural culture has not been fully realized. Based on a systematic review of the current situation of rural cultural development, this paper deeply analyzes the obstacles to the empowerment of rural cultural revitalization by digital technology, analyzes the existing problems from the dimensions of digital infrastructure, talent structure, cultural excavation and protection, and institutional system, and proposes corresponding practical paths, aiming to provide theoretical reference and practical inspiration for the revitalization of rural culture in the digital age.
Copyright (c) 2025 Xupeng Qi http://creativecommons.org/licenses/by/4.0
Supply Chain Finance and Total Factor Productivity: Evidence from China’s Publicly Listed Companies
Supply chain finance plays a supporting function in the development of the real economy, and it is becoming increasingly significant to China's economic growth. Our empirical analysis utilizes a dataset of Chinese A-share listed companies spanning 2008 to 2023. To identify the causal relationship, we estimate a two-way fixed effects model to assess how supply chain finance influences firm-level total factor productivity and explore the potential mechanisms involved. The results indicate that supply chain finance can improve the total factor productivity of enterprises through two mechanisms: improving the efficiency of resource integration and reducing agency costs, and this relationship is still valid after endogenous processing and a series of robustness tests. The heterogeneity analysis reveals that supply chain finance has a more apparent impact on raising total factor productivity in the case of small enterprise scale, low financing constraint, low industry competition and strong supply chain integration. The findings have dual implications: they extend the literature on the drivers of enterprise total factor productivity, while also providing theoretical and practical insights for enhancing supply chain modernization and advancing high-quality development in both firms and the broader economy.
Copyright (c) 2025 Yixin Dou, Fan Zhang http://creativecommons.org/licenses/by/4.0
Neighborhood Poverty and Amygdala Response to Negative Face
Introduction: Considerable research has established a link between socioeconomic status (SES) and brain function. While studies have shown a link between poverty status and amygdala response to negative stimuli, a paucity of knowledge exists on whether neighborhood poverty is also independently associated with amygdala hyperactive response to negative stimuli. Purpose: Using functional brain imaging data, this study tested the association between neighborhood SES and the amygdala’s response to negative stimuli. Considering race as a sociological rather than a biological construct, we also explored racial heterogeneity in this association between non-Hispanic Black and non-Hispanic White youth. Methods: We borrowed the functional Magnetic Resonance Imaging (fMRI) data of the Adolescent Brain Cognitive Development (ABCD) study. The sample was 2,490 nine to ten years old non-Hispanic Black and non-Hispanic White adolescents. The independent variable was neighborhood income which was treated as a continuous measure. The primary outcomes were the right and left amygdala response to negative face during an N-Back task. Age, sex, race, marital status, and family SES were the covariates. To analyze the data, we used linear regression models. Results: Low neighborhood income was independently associated with a higher level of amygdala response to negative face. Similar results were seen for the right and left amygdala. These effects were significant net of race, age, sex, marital status, and family SES. An association between low neighborhood SES and higher left but not right amygdala response to negative face could be observed for non-Hispanic Black youth. No association between neighborhood SES and left or right amygdala response to negative face could be observed for non-Hispanic White youth. Conclusions: For American youth, particularly non-Hispanic Black youth, living in a poor neighborhood predicts the left amygdala reaction to negative face. This result suggested that Black youth who live in poor neighborhoods are at a high risk of poor emotion regulation. This finding has implications for policy making to reduce inequalities in undesired behavioral and emotional outcomes. Policy solutions to health inequalities should address inequalities in neighborhood SES.
Copyright (c) 2025 Shervin Assari http://creativecommons.org/licenses/by/4.0
The Influence Factors of the House Price—The Cross-Sectional Analysis of the Consumers Factors Based on the 35 Cities in 2024
This dissertation investigates the relation between the consumers and the price development on the housing market in 2024 based on cross-sectional analysis of the consumers’ factors. Based on the result of the correlations analysis and regression analysis, balance of savings deposit of Urban and rural residents per person affect to the dependent variable of the house price.
Copyright (c) 2025 Wei Zhang http://creativecommons.org/licenses/by/4.0