Market Environment Research Articles

Regulation techniques and applications of distributed load resources in urban power grids based on internet of things

The power consumption of urban power systems is increasing rapidly with two typical trends: the first one is that the daily peak-valley difference of loads is more significant, and the power supply is tight during peak hours, which threatens the system’s safe and stable operation; the second one is that the load energy efficiency in urban power systems is not high, which is the primary source of carbon emission in the power industry. Therefore, reducing the peak power and improving the system’s energy efficiency are urgent tasks for enhancing the system’s security and achieving the carbon emission goals. The rapid development of the Internet of Things (IoTs) ushers new opportunities for regulating demand-side loads. By analyzing the technical characteristics of load control based on IoTs, this paper investigates the modeling methods of load resources. On this basis, different control and optimization methods of load resources are analyzed and compared thoroughly. Besides, considering that load control is not only related to technical methods but also impacted by incentive strategies, the load control mechanisms under the mature and immature market environments are analyzed. Finally, the research gap and prospect of load regulation are proposed.

Intelligent Asset Allocation Portfolio Division and Recommendation

With the continuous development of financial markets, intelligent asset allocation has become a topic of great concern in the investment field. However, traditional asset allocation methods often face difficulties in grasping the relationship between diversity, risk and return, which limits its application in complex market environments. To solve this problem, this study introduces deep learning and knowledge graphs and proposes an intelligent asset allocation model. Our model makes full use of the advantages of the Knowledge Graph Embedding Model (KGE), LSTM, and Genetic Algorithm (GA) to build a multi-level and multi-dimensional asset allocation model. KGE helps capture the complex relationships between different assets, LSTM is used to learn key patterns of historical portfolio performance, and GA finds the optimal asset allocation combination by simulating natural selection and genetic mechanisms. Experimental findings indicate that our model has demonstrated substantial improvements across various performance metrics and outperforms conventional approaches.

Analysis of the Spatial Characteristics and Influencing Factors of Large-Scale Land Acquisition Projects in Southeast Asia

Southeast Asia is an essential region for companies carrying out large-scale land acquisitions (LSLAs). Exploring the distribution patterns and influencing factors of LSLA projects in this region is of great practical significance for summarizing the characteristics of LSLA projects in Southeast Asia, for gaining a thorough understanding of LSLA project development rules, and for formulating reasonable policies to guide local LSLA projects. This study explores the spatial distribution and influencing factors of LSLA projects in Southeast Asia using the mean center method, the kernel density estimation method, and the grey correlation method. The findings indicate the following: Firstly, the majority of LSLA projects in Southeast Asia are located in the Indo-China Peninsula, Cambodia, Myanmar, Laos, and other countries, which represent significant regions of interest for LSLA projects in this region. Secondly, the spatial distribution of LSLA intention projects and LSLA contract projects in Southeast Asia is similar, whereas LSLA production projects differ from the former two. Thirdly, the scale of LSLA projects in Southeast Asia is closely related to the host country’s natural resources, socio-economic conditions, governance, and market environment. The total GDP, per capita arable land area, net foreign direct investment inflow, and political stability have been identified as exerting a significant influence on investment corporations’ selection of LSLA host countries.

Green marketing practices and financial performance of manufacturing firms: The moderating role of organizational culture

This paper investigated the moderating role of organizational culture on the relationship amid green marketing practices as well as financial performance of manufacturing firms. The survey utilized a self-administered questionnaire approach, gathering a total of 270 completed responses for data analysis utilizing Smart PLS-SEM (version 4). The study noted the occurrence of a significant positive relationship amid green internal marketing as well as financial performance. Second,there is a significant positive effect amid green marketing communication as well as financial performance. Third, there is a significant negative relationship amid green strategy as well as financial performance. However, the connection amid green product as well as financial performance is insignificant. Moreover, organizational culture has a significant moderation effect on the relationship amid green strategy as well as financial performance. Furthermore, organizational culture has a significant moderation effect on the relationship amid green product as well as financial performance. In addition, organizational culture has a significant moderation effect on the relationship amid green marketing communication and financial performance. However, organizational culture has an insignificant moderating effect on the relationship among green internal marketing as well as financial performance This investigation underscores the necessity of adopting a comprehensive strategy to enhance the financial performance of firms. Managers must focus on strategic alignment, leadership commitment, employee engagement, effective communication, and continuous improvement to foster a culture that supports green marketing initiatives.

Strategic Adaptation to Environmental Volatility: Evaluating the Long-Term Outcomes of Business Model Innovation

In a period, when the risk of environmental distortions becomes higher and more unpredictable, business struggle to carry on or even stay in business is obvious, unless they are able to adjust their strategies properly. This paper takes business model innovation as the primary strategic response to environmental turbulence into account. Through an advanced empirical methodology, this study looks at the long-term results of diverging businesses from various industries moving toward a cutting edge adaptation plot instead of those that contended for the simple replication of those that already existed. The analysis, first and foremost, demonstrates significant disparities in prosperity rates, which may be attributed to interplay of evolving business strategies and market dynamics along with organizational resources and capabilities. In addition to this, the document presents strategic foresight and the imperative of agility as a means of creating a platform where innovation and sustainable growth are realizable. The results provide a detailed framework for CEOs, owners and politicians, underscoring the imperative of avant-garde techniques that will enable them to adapt effectively to the continuously evolving market environment.

Portfolio Evaluation of Selected Large cap & Midcap Mutual Fund Schemes

"Wealth, place & power are no measure of sources. The only true measure is the ratio between what we might have been & what we have become". In this regard people should upgrade their knowledge & keep in pace with changing technology & market condition to reach their desired goal. As new opportunities are opening up in every field all over the world. The desired goal can achieve only when both theory and practical go together hand in hand. This article is such an attempt to understand or link the theoretical concept with that of practical applicability. It provides an in-depth analysis of Mutual Funds Schemes, encompassing their benefits, various facts crucial to understand and associated risks. Furthermore, the theoretical background of mutual funds, including the types of funds available, their advantages, and potential risks have been dealt with. The study majorly focuses on evaluating the performance of specific mutual fund schemes in the large-cap and mid- cap categories. By analyzing various portfolio evaluation models, including Sharpe, Treynor, and Jensen's alpha, as well as other metrics such as Standard Deviation, Beta, and Portfolio Return, the research aims to identify top- performing funds. The study utilizes correlation analysis and the ARIMA model to forecast the Net Asset Value (NAV) of the highest-ranked funds, providing insights into risk and return profiles, and assisting advisors in recommending suitable investment choices to investors. The study concludes by emphasizing the importance of professional management and diversification in investment, particularly within the dynamic and unpredictable stock market environment. Keywords: Risk, Return, Beta, Standard Deviation (SD), Net Asset Value (NAV) & Assets under Management (AUM), Autoregressive Integrated Moving Average (ARIMA)

Enhancing valuation of variable annuities in Lévy models with stochastic interest rate

This paper extends the valuation and optimal surrender framework for variable annuities with guaranteed minimum benefits in a Lévy equity market environment by incorporating a stochastic interest rate described by the Hull-White model. This approach frames a more dynamic and realistic financial setting compared to previous literature. We exploit a robust valuation mechanism employing a hybrid numerical method that merges tree methods for interest rate modeling with finite difference techniques for the underlying asset price. This method is particularly effective for addressing the complexities of variable annuities, where periodic fees and mortality risks are significant factors. Our findings reveal the influence of stochastic interest rates on the strategic decision-making process concerning the surrender of these financial instruments. Through comprehensive numerical experiments, and by comparing our results with those obtained through the Longstaff-Schwartz Monte Carlo method, we illustrate how our refined model can guide insurers in designing contracts that equitably balance the interests of both parties. This is particularly relevant in discouraging premature surrenders while adapting to the realistic fluctuations of financial markets. Lastly, a comparative statics analysis with varying interest rate parameters underscores the impact of interest rates on the cost of the optimal surrender strategy, emphasizing the importance of accurately modeling stochastic interest rates.

Collective vision-making practice: A long-run dynamic process model for geothermal market transitioning

Michael Porter’s work on competition highlights how firms can become stagnant or ‘stuck.’ This study extends that concept to markets or fields of institutional activity, examining what occurs when an entire market becomes 'stuck.' Focusing on the geothermal energy market, the research investigates achieving long-term collective action by cultivating a shared vision and mutual understanding among stakeholders with diverse interests. The study employs a longitudinal ethnographic approach, presenting a long-run dynamic process model of collective vision-making practice. This model consists of six first-order dimensions and twelve second-order interactive behavioural practice, illustrating how stakeholders can collaboratively construct and enfold a long-term collective vision. The findings demonstrate the institutional capacity to engage stakeholders and strategically consider whole market possibilities, enabling the creation of a broadly defined collective vision. The research advances a dynamic process model that emphasises sustained institutional interactional practice. The study’s implications are to motivate thought leaders and policymakers, prompting two strategic questions: First, “How can market actors collaborate to unlock value co-creation and shape the future of a ‘stuck’ market?” This involves engaging diverse stakeholder perspectives and exploring future market-making opportunities. Second, “How can all market actors pivot in harmony with a collective vision, fostering long-term shared understandings and commitments in pursuit of market-making efforts?”, This alignment is important for progressing from research and development to the successful implementation of pilot projects and the realisation of sustainable market opportunities.

Green marketing in the promotion of environmentally responsible and sustainable practices in the development of resilient infrastructure in Peru: A systematic review

Green marketing in the promotion of environmentally responsible and sustainable practices in the development of resilient infrastructure in Peru: A systematic review

Beyond graduation: understanding professional downgrading in Moroccan vocational training alumni

PurposeYoung graduates in Morocco are encountering an increasingly challenging labor market environment. Confronted with intense competition, job insecurity, and unclear career trajectories, many find themselves in low-skilled positions despite possessing relevant qualifications. This issue is particularly pronounced among vocational training graduates, who experience professional downgrading at a rate three times higher (33.6%) compared to their peers from general education (11.6%) (HCP, 2018). Our study aims to investigate professional downgrading among young vocational training graduates in Morocco, focusing on the factors contributing to this phenomenon and identifying potential solutions to address it.Design/methodology/approachOur study is based on the insertion and career path survey conducted by the Department of Professional Training with graduates of professional training programs in Morocco. For this edition, the survey was conducted in 2020, encompassing all 31,498 graduates of the 2016 professional training programs. The Heckman self-selection model is employed to analyze and explore various dimensions of downgrading. Factors such as gender, age, marital status, parental education, and the choice of vocational training field are scrutinized to understand their influence on downgrading.FindingsThe study reveals several key findings: Women exhibit a lower probability of professional downgrading compared to men. Young graduates are more vulnerable to downgrading, emphasizing the necessity for career guidance and mentorship programs to facilitate their entry into the job market. Marital status plays a role, with married individuals having a higher likelihood of downgrading. Parental education, particularly that of mothers, proves critical in preventing subjective downgrading of vocational training graduates, highlighting the need for adult literacy and education programs. The effectiveness of the National Agency for the Promotion of Employment and Competencies (ANAPEC) programs in preventing downgrading among vocational training graduates is questioned, suggesting the need for program revisions tailored to this population. The choice of vocational training field significantly impacts downgrading, with graduates of technical training programs experiencing advantages. This emphasizes the importance of diversifying training fields and aligning them with market demands.Originality/valueThis study provides valuable insights into the phenomenon of professional downgrading among young vocational training graduates in Morocco. The findings emphasize the need for targeted policy interventions. Recommendations include supporting young graduates, reassessing programs offered by the ANAPEC, and enhancing technical training to better align with the evolving demands of the labor market.

Order-sensitive competitive revenue maximization for viral marketing in social networks

The Competitive Influence Maximization (CIM) problem is a critical issue in viral marketing, focusing on selecting a set of influential individuals, known as seed users, for competitors to maximize their revenue. These seed users have significant sway in social networks and serve as valuable marketing resources provided by the platform. They are often displayed in a certain order launched by the platform and the potential information hidden in the order can profoundly affect the final marketing outcomes. However, current CIM research predominantly emphasizes designing effective algorithms for seed selection while ignoring the impact of the seed order launched by the platform. Therefore, this paper focuses on identifying the optimal seed order to maximize platform revenue in a competitive market environment. Specifically, we introduce a new problem called Order-Sensitive Competitive Revenue Maximization (OSCRM) to investigate the CIM problem from a new practical perspective. We prove the problem to be NP-hard and present a simple greedy algorithm with a 1/3-approximate ratio. To address it more efficiently, we further propose an enhanced greedy algorithm called GMST. This algorithm leverages the maximum spanning tree (MST) and achieves a 1/2-approximate ratio. Extensive experiments on four real-world datasets demonstrate the effectiveness of our proposed GMST algorithm.

Bibliometric Analysis Using Vosviewer on Research Trends in Marketing with the Theme of Green Buying Behavior in Google Scholar

This paper aim to explores the emerging focus on environmentally conscious consumer practices. Utilizing a bibliometric approach, the study examines 352 scholarly articles sourced from Google Scholar, utilizing the Publish or Perish application and VOSviewer software for data visualization and mapping. Key findings highlight a steady increase in research interest, particularly after 2021, indicating a growing academic and practical emphasis on green buying behaviors. The study presents a chronological publication trend and identifies the most prolific publishers and researchers in the field. Additionally, the research network's mapping illustrates the central themes and connections among various factors influencing green buying behavior, such as consumer awareness, marketing strategies, and the environmental impact of consumer choices. This comprehensive bibliometric analysis not only charts the evolution of research in this area but also suggests that increased attention to green marketing strategies could significantly influence consumer behavior. This is visually supported by network and density visualizations that depict the relationships and research intensity in the field, pointing to potential future directions for both academic study and practical marketing applications

Using Porter's Strategic Model to Promote Sustainable Marketing In Light Of Behavioral Finance (An Analytical Study Of A Sample Of Small And Medium Enterprises In Najaf Governorate)

This paper determines the suitability of companies' activities that can contribute to enhancing their performance and achieving a large market share, especially in the field of diversifying funding sources. The purpose of this paper was to idintify the impact of Porter's five forces on enhancing sustainable marketing for the research sample companies. The paper was designed in light of adopting the descriptive analytical approach for the research variables and collecting data and information through the questionnaire tool distributed to the research sample companies. And using statistical analysis to reach the results, the study sample amounted to (21) companies operating in the field of tourism and travel. The results of the paper showed that there is a threat from new entrants in the tourism industry due to the presence of many competing companies. Companies had to develop a strategy on how to attract and retain customers to avoid switching from one company to another by using Porter's model to promote sustainable marketing and using behavioral financing sources. which is reflected in their competitive position due to the presence of different companies.

Brand Loyalty as a Catalyst for Growth: Leveraging Innovative Brand Experience to Enhance Market Success for a Small Clothing Brand

This research entitled “Brand Loyalty as a Catalyst for Growth: Leveraging Brand Experience to Enhance Market Success for Small Clothing Brands in Triple Two Reworks” aims to identify strategies that can increase brand loyalty and market growth for small clothing brands. This research focuses on Triple Two Reworks, a local brand that specializes in redesigning used clothing into new fashion products that are aesthetically pleasing and sustainable. This study reveals that brand loyalty plays a critical role in the long-term success of a brand, especially for small clothing brands that often face limited resources and challenges in reaching a wider audience. This research uses a qualitative approach with in-depth analysis of positive Triple Two Reworks brand experiences, as measured through indicators of customer satisfaction and their engagement with the brand. The research results show that superior brand experience can increase customer loyalty and market success. Triple Two Reworks can leverage positive brand experiences through a branding strategy that includes providing a personalized shopping experience, product customization options, and responsive customer support. Additionally, the adoption of sustainable fashion trends and limited-edition collections can attract environmentally conscious and fashionable consumers, thereby expanding market share and increasing competitiveness. This research concludes that by optimizing the brand experience, Triple Two Reworks can build strong customer loyalty and achieve sustainable market growth.

AI-Powered Predictive Customer Lifetime Value: Maximizing Long-Term Profits

In an era where data-driven decision-making is critical to business success, understanding and optimizing Customer Lifetime Value (CLV) has become a strategic priority for companies across industries. CLV, which estimates the total revenue a business can expect from a customer throughout their relationship, is crucial for identifying high-value customers and tailoring marketing strategies to maximize profitability. However, traditional methods of calculating CLV often rely on historical data and linear models, limiting their accuracy and adaptability in a rapidly changing market environment. The integration of Artificial Intelligence (AI) into predictive analytics has brought about a paradigm shift in how businesses approach CLV. AI-powered predictive models leverage machine learning algorithms to analyze vast amounts of data, uncover complex patterns, and make highly accurate CLV predictions. These models can dynamically adjust to changes in customer behavior, market conditions, and other external factors, providing businesses with a more precise and actionable understanding of their customer base. This article explores the transformative potential of AI in predictive CLV modeling, examining the various techniques and data sources that drive these advanced models. We will discuss the strategic benefits of AI-driven CLV, including personalized marketing, optimized customer segmentation, and enhanced customer retention strategies. Additionally, we will address the challenges associated with implementing AI-powered CLV models, such as data privacy concerns, integration with existing systems, and the interpretation of AI-generated insights. Through a detailed analysis of industry case studies, this article highlights the practical applications of AI-powered CLV models in maximizing long-term profits. We will also explore future trends in AI technology and their potential impact on CLV predictions, offering insights into how businesses can stay ahead of the curve in an increasingly competitive landscape. By the end of this article, readers will have a comprehensive understanding of how AI can revolutionize CLV predictions and drive sustained business growth.

PENGARUH GREEN MARKETING TERHADAP MINAT DAN KEPUTUSAN PEMBELIAN KONSUMEN PT. SINAR SOSRO TABANAN

Ecological problems due to the increasing volume of plastic waste are a global concern, with several Asian countries including Indonesia as the main contributor of plastic waste to the oceans. PT Sinar Sosro hopes that by implementing green marketing it can influence customer purchasing decisions which include customer confidence and confidence in the products purchased. This study aims to evaluate the impact of green marketing on consumer choice and purchase intention at PT Sinar Sosro Tabanan Branch Office. The type of research used is quantitative research. The research subjects were all consumers of PT Sinar Sosro Tabanan Head Office with samples taken using accidental sampling technique totaling 60 samples. Partial Least Square (PLS) was used as a data processing tool. The results found that environmentally friendly marketing has a positive and significant effect on purchase intention with a coefficient of 0.788, and a purchase decision coefficient of 0.646. Purchase intention is also shown to mediate the impact of green marketing on purchasing decisions with a partial effect. Good implementation of green marketing increases consumer purchasing decisions and purchase interest, and supports PT Sinar Sosro in maintaining market share in the midst of intense beverage industry competition.

Relationship Between Green Finance Availability and Purchase Intentions in Generation Z and Millennials: Moderating Role of Consciousness

This study examines how the availability of green finance influences the purchasing intentions of Generation Z and Millennials, with consciousness as a moderating factor. A structured questionnaire was deployed to collect the data to measure five reflective constructs: purchase intention, Gen Z and Millennials’ green finance, environmental consciousness, future consciousness and status consciousness. The valid responses of 500 participants working at various levels in the information technology industry were subjected to normality tests, factor analysis, and structural equation modeling analysis. The data were normally distributed (Shapiro‒Wilk statistic p>0.05), and the survey instrument maintained internal consistency and reliability, as revealed by the Cronbach’s alpha values (>0.70). The structural equation modeling results revealed an excellent model fit, and the Gen Z and Millennials’ financial availability, future consciousness and status consciousness constructs were statistically significant and impacted the purchasing intentions of Gen Z and Millennials. Slope analysis reveals that consciousness is statistically significant and moderates the relationship between Gen Z and Millennial financing availability and purchase intentions. Consciousness strengthens the positive relationship between Gen Z and millennial finance availability and purchase intentions. The article reports novel findings that affect the purchase intentions of customers regarding the availability of green financing to Generation Z and Millennials. This is a new empirical study in which Generation Z and Millennials. This empirical study highlighted the environmental, social and managerial implications for green finance providers. Green finance opportunities need to be provided to Gen Z and Millennials so that they can make a habit of engaging in green finance practices. This will promote environmental protection, increase greener consumption options, and ensure social equity and sustainable economic development. If the green financing opportunities promoted to Gen Z and Millennials, more businesses can opt for greener options, greener products and greener marketing.

The need for social equality from emerging patterns in business and costs towards environmental sustainability in a new paradigm shift

This investigation is based on a quantitative method and approach from inferential statistics. This study addresses urgent need for social equality and the desire for a sustainable business environment following emerging realities, climatic changes, and environmental issues based on a framework built on corporate social responsibility (CSR). The primary data were acquired from respondents via questionnaire administration and interviews from a random poll performed in Rome. The results of the hypothesis connecting brand image and social responsibility showed a high value of p = 1.000, exceeding the set critical limit of 0.05; thus, companies and organizations that support socially responsible practices are drivers and vanguards for promoting and entrenching social equality, trust, and mutual engagements with the stakeholders and societies from which they draw resources for their activities.Finally, relevant and novel models have been presented that unravel and unveil the templates and working frame for achieving social equality and sustainability while addressing environmental issues associated with business activities, emphasizing value -based creation, social equality, and sustainable marketing on a precept and foundational framework of social responsibility and corporate identity, or ‘CSR’. This led to key recommendations crucial to the business environment, policymakers, stakeholders, and decision-makers in politics.

The Effect of Green Marketing, Social Media Marketing, Word of Mouth And Service Quality on Purchasing Decisions

The formulation of the problem in this research is: Does green marketing influence purchasing decisions? Does social media marketing influence purchasing decisions? Does word of mouth influence purchasing decisions? Does service quality influence purchasing decisions? The objectives of this research are: to determine the influence of green marketing on purchasing decisions, to determine the influence of social media marketing on purchasing decisions, to determine the influence of word of mouth on purchasing decisions, to determine the influence of service quality on purchasing decisions. This research is included in exploratory research. The population in this study is unknown, the number of samples in this study was 220. The analysis tool uses PLS. The research results show that green marketing has no significant effect on purchasing decisions, social media marketing has a significant effect on purchasing decisions, word of mouth has a significant effect on purchasing decisions, and service quality has a significant effect on purchasing decisions.

Influence of Social Responsibility and Sustainable Marketing Strategies on the Behavior of the Plant-Based Food Consumer Market in Ecuador and Latin America

A documentary review was carried out on the production and publication of research papers related to the study of the variable Social Responsibility, Sustainable Marketing and Consumer Behavior. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017-2022, achieving the identification of 57 publications. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors regarding the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found that the United States, with 10 publications, was the country with the highest scientific production registered in the name of authors affiliated with institutions in that country. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material regarding the scope of Social Responsibility, Sustainable Marketing and Consumer Behavior was Business, Administration and Accounting with 34 published documents, and the most used Type of Publication during the period indicated above were Journal Articles with 67% of the total scientific production.