Market Environment Research Articles

Exploring the Formation, Characteristics, and Impact of Consumer Psychological Expectations on Consumer Behavior in the Chinese Environment

Consumer decision-making is a complex process influenced by numerous factors, among which psychological expectations, as a potential force, play a key role in various consumer activities and have a profound impact on consumer purchasing behavior. This study aims to deeply analyze the formation mechanism, typical characteristics, and specific manifestations of consumer psychological expectations in the Chinese consumer market environment, and explore how these psychological expectations affect purchasing decisions. By revealing the inherent laws of consumer psychological expectations, this article aims to provide strategic guidance for enterprises, helping them improve sales performance and customer satisfaction by effectively managing consumer psychological expectations. The results of this study not only help enterprises to more accurately grasp consumer demand, optimize products and services in fierce market competition, but also provide empirical support for the development of consumer behavior theory, thereby enriching and deepening academic research in related fields.

Behavioral Economics and Stock Market Decision-Making: Investor Biases and Investment Strategies

This study examines the application of behavioral economics to stock market decision-making, focusing on common cognitive biases of investors and their impact on investment decisions. Unlike the complete rationality assumed in traditional economics, behavioral economics reveals the irrational behaviors that investors exhibit when facing risks and uncertainties, such as overconfidence, loss aversion, and herd effect. By examining classical theories such as prospect theory, loss aversion, and the anchoring effect, as well as specific case studies such as the 2008 global financial crisis, this study aims to reveal how these psychological biases affect investors’ decision-making process. Further, this study examines how behavioral economics theories can be used to improve investment strategies by recommending methods such as low volatility investment strategies to help investors make more rational and effective investment choices in a complex market environment. Through in-depth analysis of the core theories and cases of behavioral economics, investors are better able to identify biases in the decision-making process, thereby optimizing their investment decisions and improving long-term investment returns.

Investor attention and market activity: evidence from green cryptocurrencies

Purpose This paper aims to investigate the relationship between investor attention and market activity (return, volatility and volume) using a sample of 14 clean energy cryptocurrencies (hereafter green cryptocurrency), namely, Chia, Cardano, Stellar, Tron, Ripple, Nano, IOTA, EOS, Bitcoin Green, Alogrand, Hedara, Polkadot, FLOW and Tezos. Design/methodology/approach This paper use 26040 crypto-day observations and a range of econometric techniques, including Dynamic Granger causality, Panel vector autoregression (VAR), Impulse response function and the decomposition of forecast error variance. Findings Based on 26040 crypto-day observations, this paper finds a bidirectional Granger causal relationship between investor attention and all measures of market activity, namely, return, absolute volatility, squared volatility and volume. The panel VAR and impulse response function demonstrate that market activity in the green crypto ecosystem, especially volatility and volume, is considerably responsive to changes in investor attention proxied by Google search volume (hereafter Google search volume (GSV)). The findings also demonstrate a significant asymmetric effect of return and volume on investor attention since past negative shocks “or bad news” in return and volume are more likely to grab the investor’s attention. All in all, our study emphasizes the crucial role of investor attention in the green crypto ecosystem. Originality/value (i) The research is the first to shed light on investor attention in the green cryptocurrency market. (ii) The paper uses a wide range of green cryptocurrencies to offer a comprehensive picture of the green cryptocurrency ecosystem. (iii) This paper is the first to use the panel Granger causality to investigate investor attention in the cryptocurrency market which provides several advantages over the conventional Granger causality approach. (iv) This paper is the first to provide novel empirical evidence on the prevalent influence of investor attention in the green crypto market.

DETERMINAN SISI PENAWARAN GREEN BONDS ASEAN

The explicit objective of this study is to analyze the factors influencing the supply side of Green Bonds in ASEAN countries. This research aims to examine how the characteristics of green bonds and the characteristics of issuing companies affect the amount of green bonds issued in ASEAN countries, particularly in Malaysia, Singapore, Thailand, and the Philippines during the period from 2018 to 2021. This study employs a quantitative research design with a linear regression analysis approach using the Ordinary Least Squares (OLS) method. This design was chosen to identify and measure the relationship between the independent variables (green bond characteristics and issuer company characteristics) and the dependent variable (the amount of green bonds issued). The independent variables in this study are Green Bond Characteristics, proxied by coupon rates and risk premiums. Additionally, the study includes the variable Issuer Company Characteristics, proxied by the debt ratio of the issuing company. The dependent variable in this study is the amount of green bonds issued. This research utilizes panel data that encompasses green bonds issued in four ASEAN countries (Malaysia, Singapore, Thailand, and the Philippines) from 2018-2021. This panel data allows for analysis that accounts for variability over time and across different companies or countries. The findings of this study indicate that there is a significant relationship between the characteristics of green bonds and the characteristics of issuing companies with the amount of green bonds issued in ASEAN countries. Specifically, it was found that green bond characteristics such as coupon rates and risk premiums significantly impact the amount of green bonds issued. Higher coupon rates and higher risk premiums tend to reduce the amount of green bonds issued. Additionally, the characteristics of the issuing companies, particularly the debt ratio, were also found to have a significant influence on the amount of green bonds issued. Companies with higher debt ratios tend to issue more green bonds. Overall, this study identifies key factors influencing the supply of green bonds in ASEAN and provides insights that can support the development of policies and strategies to strengthen the green bond market in the region

Research on Guizhou Tourism Marketing Strategy Based on Text Mining and Social Media

With the intensification of market competition and the diversification of consumer demands, how to effectively develop and optimise marketing strategies has become the key to enhancing competitiveness and attractiveness. This paper first introduces the background and theoretical foundation of the application of text mining technology in the tourism industry and explains its importance in analysing large-scale user reviews and social media data. Then, it reveals the challenges and opportunities in the current market environment through empirical analyses of social media data related to tourism in Guizhou. Combining the methods of text classification, topic modelling and sentiment analysis, the in-depth study mines the tourists' perception and evaluation of Guizhou tourism and their influencing factors. Finally, targeted marketing recommendations are proposed, aiming to optimise the marketing strategy of Guizhou tourism and enhance its brand image and market competitiveness.

Short-Term Electricity Futures Investment Strategies for Power Producers Based on Multi-Agent Deep Reinforcement Learning

The global development and enhancement of electricity financial markets aim to mitigate price risk in the electricity spot market. Power producers utilize financial derivatives for both hedging and speculation, necessitating careful selection of portfolio strategies. Current research on investment strategies for power financial derivatives primarily emphasizes risk management, resulting in a lack of a comprehensive investment framework. This study analyzes six short-term electricity futures contracts: base day, base week, base weekend, peak day, peak week, and peak weekend. A multi-agent deep reinforcement learning algorithm, Dual-Q MADDPG, is employed to learn from interactions with both the spot and futures market environments, considering the hedging and speculative behaviors of power producers. Upon completion of model training, the algorithm enables power producers to derive optimal portfolio strategies. Numerical experiments conducted in the Nordic electricity spot and futures markets indicate that the proposed Dual-Q MADDPG algorithm effectively reduces price risk in the spot market while generating substantial speculative returns. This study contributes to lowering barriers for power generators in the power finance market, thereby facilitating the widespread adoption of financial instruments, which enhances market liquidity and stability.

Consumer Green Products through the Lens of Bibliometrics: Trends analysis

The growth of articles is reflected in the increasing interdisciplinary research and publications on consumer green products. Scholars from fields as diverse as business, management and accounting, environmental science, social science, and engineering have contributed to more than 400 publications. This article aims to understand the growth of green consumer products by using bibliometric analysis. With the limitation set only for the final stage and English used, a total of 1961 articles were published in the Scopus database from 1990 to 2024. The analysis of document and source types, top keywords, and other bibliometric indicators was explained. In addition, Publish or Perish software was used to analyze citation metrics and highly cited articles. As the global focus on sustainability intensifies, research in this field will likely continue to grow. Future studies should lengthen this work to other article databases such as WOS and Google Scholar to understand how consumer green products can contribute to a more sustainable business future. Besides that, the researcher also can explore how the green marketing mix influences consumer intention to purchase green products available in the market.

From Local Markets to Global Success: A Case Study on Scaling and Innovating in the Food Manufacturing Company

This paper aims to analyze the development process of a famous food manufacturing company that started only in local farmer markets aiming at snacks and agricultural products. Looking back at the different fiscal years, the company has acquired numerous accomplishments, hence attributing it to a strong focus on quality and innovation. There are several serious issues that a company faces while the strategies revealed above are to establish and consolidate a position in the rapidly growing food manufacturing industry. Some of these are the challenges of globalization, diversification of product portfolio, sustaining innovation, and building a strong and easily identifiable brand. In this paper analyzing the specifics of the company’s development, its strategic directions, and defining the major issues and problem-solving approaches in responding to these complex challenges a certain group of questions will be highlighted. The paper discusses the factors that have facilitated the effectiveness of its strategic management concerning the achievement of the firm’s goals and sustained growth amidst challenges. From the examination of the company’s strategic choices, operating changes, and patterns of analyzing the market environment, this study has gone a long way in establishing the key dynamics underlying operation scaling within the food manufacturing industry. The lessons from this case suggest that to sustain a commitment and build a highly competitive mass-market business over time there is a need for flexibility, creativity, and vision.

Racial group differences and export market access challenges in agricultural value chains and supply networks of SMEs in South Africa

ABSTRACT Although previous studies provide an insightful and categorised nature of internal and external export barriers experienced by agricultural SMEs in general; there is little, if any, strategic insights on the racial nuances in value chain barriers for most agricultural SMEs that target global export markets. This study posits that export barriers are not uniform and differ based on race and the context in which the agricultural SME is based. Hence, we specifically explore the nature of export barriers per race within the agro-value chains in South Africa and juxtapose these with the dynamic market and historical conditions of the South African market environment. In this multi-case study, we focused mainly on the differences between black and white-owned agricultural SMEs riding on their different supply networks’ capabilities to navigate the export barriers they face. The findings serve to develop seminal knowledge to enhance export capabilities and opportunities for minority groups globally and more importantly to highlight the underlying drivers for racial imbalances in agro-supply chains. Although the findings are geographically skewed to South Africa, the market dynamics are relevant across countries with similar demographic characteristics and provide a platform for future research.

Deconstruction of green product innovation drivers for regional export-oriented industrial enterprises in China: the product space perspective

Achieving green economic growth requires enterprises to develop and promote green products that balance environmental protection, intensive resource utilization, and sustainable development. However, under the externality assumption, the green market is often faced with the challenge of insufficient supply. Based on 2004–2018 panel data covering regional industrial enterprises in 30 provinces in China, this study empirically tests the composite driving mechanism of the effect of an increase in the regional green production capacity, organizational factors, and environmental policies on the green product innovation (GPI) of regional export-oriented industrial enterprises (REIEs). This study finds that the increase in regional green production capacity directly drives an improvement in REIEs’ GPI level, that the regional green technology level and degree of human capital accumulation are indirect driving channels between capacity increases and product innovation, and that environmental regulations and green credit have a positive moderating effect on the influence of increasing green production capacity on GPI. Further threshold regression analysis reveals that increasing green production capacity, foreign direct investment, digitization, and trade openness have an inverted U-shaped promoting effect on GPI and that the proportion of local government expenditure shows a diminishing marginal utility effect on GPI.

Redefining Excellence: Exploring the Influence of Social Comparison on Green Product Evaluation

ABSTRACTIn recent decades, green consumption has gained considerable attention among academic and business circles. While previous research has shown that green products combine environmental value and status symbols, the role of micro‐social environments has been insufficiently examined in studies exploring the antecedents of green consumption. Social comparison, a central feature of human social life, has been overlooked. Therefore, this research conducted five empirical studies to investigate the impact of social comparison on green product evaluations. We find that upward and downward comparisons positively influence consumers' attitudes, purchase intentions, and actual choices of green products. Notably, feelings of self‐threat mediate this effect in upward comparison situations, while authentic pride mediates this effect in downward comparison situations. Furthermore, the impact of social comparison on green product evaluations is moderated by consumers' self‐monitoring. Specifically, this effect is strengthened for consumers with high self‐monitoring and attenuated for those with low self‐monitoring. These findings offer novel perspectives on green consumption and marketing implications for managers.

Bridging consumer behavior and green marketing in Czech retail chains: Applying insights from Davari & Strutton research

Presented article takes a study done by researchers Davari & Strutton in the US in 2014 and replicated the same approach and methodology in evaluating how green marketing mix elements (product, price, promotion, place) influence brand associations, grand loyalty, perceived brand quality, and brand trust, in the context of retail chain stores in Czechia. The reason for this is the fact that the issue of reconciling pro-environmental beliefs of consumers with their real behavior is still topical. Businesses need to be careful with their green claims and focus on authentic green marketing in order to attract and retain the trust of environmentally conscious consumers in the long term. The research employs quantitative data analysis, drawing data from the survey, which was run online for five weeks and collected 4700 responses. The respondents are people who live in Czechia and have shopped in one of five stores at least during the last month. The reason for focusing on the Czechia is primarily the fact that green marketing is basically only on the rise here, while greenwashing still remains a significant problem. Six hypothesis were formulated, and linear regression analysis was used to test them. Key findings of the research revealed that green products and promotions positively influence brand associations and perceived brand quality, while green promotions significantly enhance brand loyalty and trust. Additionally, there was observed influence of consumers´ environmental concerns and consideration of future consequences significantly moderating the relationship between green marketing and brand equity. The findings provide insight for businesses to integrate green marketing strategies to increase brand trust, loyalty, and perceived quality while environmentally conscious consumers.

An Analysis of Tesla's Disruptive Innovation Strategy

With the rapid development of new energy vehicles, governments and automobile manufacturers are generally aware that environmental protection is an important direction for the development of the future automotive industry, and Tesla, as a representative of the global new energy electric vehicles, has great research significance. In the fierce environment of the automobile market, Tesla has won the leadership position with many innovations. Therefore, the company is considered a disruptive innovation by the public. This paper focuses on whether Teslas innovation is disruptive innovation, and studies Teslas disruptive innovation strategy through literature reading and qualitative analysis. This paper discusses the definition of disruptive innovation, Teslas current innovation status and explores the difference between it and incremental innovation. This paper draws the conclusion that Tesla is a disruptive innovation by considering whether it creates a value network as a breakthrough point. Finally, the paper puts forward some suggestions, including extending the product line, adjusting its price to maintain its competitive advantage and innovation, adjusting the channel level based on local markets, provide more extreme and detailed experiential marketing and after-sales service, so as to promote Tesla's sustainable innovation.

Research on Innovation of Food Logistics Supply Chain Management

In the context of globalization and constantly changing consumer demand, the management of food logistics supply chains has become increasingly complex and important. This paper mainly studies the problems and innovative methods in food logistics supply chain management, aiming to improve the efficiency and adaptability of the supply chain by optimizing management strategies. This paper adopts literature analysis and case analysis methods to analyze in detail the problems of information asymmetry, cost control, transportation efficiency, and inventory management in the food logistics supply chain. It proposes innovative supplier management models, digital management, modern supply chain management concepts, inter chain cooperation, and risk management solutions. Research has found that adopting information-sharing mechanisms and advanced information technology, as well as strengthening collaboration among various links in the supply chain, can effectively improve management efficiency and reduce operating costs. This study provides some useful references for food logistics enterprises in practical operation, helping them improve service quality and reduce operating costs in a fiercely competitive market environment, enhance market competitiveness, ensure food safety and freshness, and meet the growing needs of consumers.

Risk Analysis of Financing Structure in Theme Park Industry and Optimization Using Blockchain Finance -- Based on Shanghai Disney Company

Abstract: In recent years, with the passing of the epidemic period, the theme park industry has rapidly developed and heated up. On the basis of favorable development conditions, the financing model of theme parks will become a key consideration factor for ensuring their sustainable development, that is, how to ensure sufficient capital injection. This research mainly studies the risk analysis of the existing financing structure of the theme park industry, as well as how to further optimize the structure and whether new technology blockchain technology can be applied to it. Through this study, business managers will further understand the shortcomings and risks of the current theme park financing model, how to optimize it in the future, and how to combine new technologies such as blockchain in supply chains to gain competitiveness in complex market environments. This research uses a combination of case analysis and data analysis to select Shanghai Disneyland as the target object. The capital data in its annual report is analyzed, as well as companies that use new technologies in their financing structure as case studies. This research analyzes the shortcomings and risks of the existing financing structure of Disneyland, proposes new financing models that will benefit the future development of Disney Company, and combines blockchain technology to propose new plans.

Gamification and customer brand engagement: a review and future research agendas

PurposeExtant literature shows that gamification is an effective tool for enhancing customer brand engagement. However, there is a need for a structured review of the literature on how and to what extent gamification fosters customer brand engagement. This hybrid literature review synthesizes extant research on gamification and its impact on customer brand engagement.Design/methodology/approachThe study is based on 45 articles drawn from 33 journals from the Scopus database. This article conducts a systematic review of theory, context, characteristics and methods employed in extant research, identifies contemporary themes and presents future research avenues. It also conducts a bibliometric analysis to identify the most prominent journals, authors, articles and themes.FindingsThis review identifies various patterns and trends of psychological capital research, and it unfolds four major themes – gamification and customer engagement, gamification and e-marketing, gamification and sustainable marketing and gamification and customer experience.Practical implicationsThis review offers key insights into managerial implications.Originality/valueIt is one of the first endeavors to conduct a structured review of research related to gamification and customer engagement. It presents a conceptual framework that shows the relationships between gamification and customer engagement. This systematic review offers several future research agendas to spur scholarly research and presents key insights into the process of gamification in marketing to enhance customer brand engagement.

Analysis of the Influence of Green Marketing Stimulus Factors on Purchase Decisions of Starbucks Indonesia Products with the Sor Model (Stimulus Organism Response): The Mediating Effect of Perceived Value

Analysis of the Influence of Green Marketing Stimulus Factors on Purchase Decisions of Starbucks Indonesia Products with the Sor Model (Stimulus Organism Response): The Mediating Effect of Perceived Value

The intersection of green marketing and sustainable supply chain practices in FMCG SMEs

As sustainability increasingly shapes consumer behavior and corporate strategies, Fast-Moving Consumer Goods (FMCG) small and medium-sized enterprises (SMEs) are adopting green marketing and sustainable supply chain practices to gain a competitive edge. This review explores the intersection of these two critical areas, demonstrating how their integration can drive both business growth and environmental responsibility. Green marketing, which focuses on promoting eco-friendly products and sustainable business practices, has become a key tool for FMCG SMEs to differentiate themselves in a crowded marketplace. By adopting strategies such as eco-friendly packaging, ethical sourcing, and transparency in communicating sustainability efforts, SMEs can build stronger consumer trust, foster brand loyalty, and meet the growing demand for environmentally conscious products. Simultaneously, sustainable supply chain practices ensure that the production, distribution, and logistics processes align with environmental and social goals. These practices include reducing carbon emissions, minimizing waste, and working closely with suppliers to ensure ethical sourcing of materials. The synergy between green marketing and sustainable supply chains creates a feedback loop where operational sustainability supports marketing efforts, and consumer demand for green products encourages further sustainability improvements. This review also examines the challenges FMCG SMEs face in aligning these strategies, such as cost barriers, regulatory compliance, and supply chain complexity. Through case studies and industry examples, it highlights how innovative technology and stakeholder collaboration can help overcome these challenges. Ultimately, this study underscores that integrating green marketing and sustainable supply chain practices is not only essential for addressing environmental concerns but also for enhancing competitive positioning, customer satisfaction, and long-term market success in the FMCG sector. Recommendations for SMEs on how to effectively align their marketing and supply chain sustainability efforts are also provided. Keywords: Green Marketing, Supply Chain, FMCG SMEs, Review.

THE EFFECT OF GREEN MARKETING MOTIVATION FACTORS ON CONSUMERS' PURCHASE INTENTION THROUGH THE MEDIATING ROLE OF GREEN BRAND TRUST TO COUNTER GREENWASHING

This study examines the influence of green marketing motivational factors on Algerian consumers' purchase intentions, specifically focusing on the mediating role of green brand trust in mitigating greenwashing's impact. The research, conducted in Maghnia, a city on the western border of Algeria, surveyed 262 consumers using a structured questionnaire. Analyzing the data using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study reveals that green brand trust acts as a critical mediator between green marketing factors and purchase intentions. It finds that positive reception of green advertising and a strong green brand image significantly enhance green brand trust, which in turn, strongly influences consumers' intentions to purchase green products. Further analysis demonstrates that while non-deception and transparency do not directly impact green brand trust, they act as important moderators, enhancing the link between green advertising reception and trust. Notably, the study highlights the pervasive issue of greenwashing in Algeria, demonstrating how misleading environmental claims undermine consumer trust and purchase intentions. The study underscores the need for companies to prioritize genuine environmental efforts and ethical marketing practices to build lasting consumer relationships. Furthermore, the research emphasizes the importance of promoting environmental awareness among consumers through education programs and awareness campaigns, as well as strengthening environmental legislation to prevent deceptive practices. By understanding the complex relationship between green marketing factors, green brand trust, and purchase intentions, this study offers valuable insights for developing sustainable consumption patterns in developing economies while mitigating the negative effects of greenwashing.

Exploring AI's Role in Enhancing Risk Assessment Models in Financial Quantitative Trading

The application of Artificial Intelligence (AI) algorithms to financial risk management has fundamentally transformed the nature of risk and the tools being used to control and manage it. This paper examines how AI is deployed to manage market risk, including volatility forecasting, portfolio optimisation, stress testing, and sentiment analysis. While many of these models are well-accepted across the industry and underpin many front-office and risk-management processes, they are often limited in dynamic market environments where traditional linearity doesnt exist and real-time data is king. AI has brought advanced tools that can be applied to large and complex data sets, and that adapt quickly as market conditions change. Reinforcement learning algorithms are now deployed to optimise portfolio weights dynamically. Natural-language processing is also used to augment sentiment analysis, which can be leveraged to assess potential risk. Other forms of AI can be deployed to address challenges that come with more advanced AI models. Explainable AI models provide the opportunity to produce financial outcomes that are more transparent and less opaque while also helping to validate regulatory compliance. Analyzing the applications of AI case studies sheds light on why financial professionals must continue to embrace AI tools, many of which are designed to help them manage risk in an increasingly volatile market environment.