Over the course of many years, the Mekong Delta region has experienced relatively low and inconsistent levels of business attraction and low quality of the enterprise environment compared to other regions in Vietnam. To delve into whether this discrepancy reflects a negative perception of the business environment in the area, this study employs a dataset comprising the aggregate Provincial Competitiveness Index (PCI) and nine of its component scores, alongside other significant control variables, to analyze business attraction trends spanning from 2010 to 2020. It based on the modeling analysis for the panel data that includes Pool-OLS, FEM and REM models. The findings indicate that PCI serves as an important indicator influencing the quality of the business environment and plays a role in determining the location preferences of businesses. It is observed that public investment has exerted an impact on enticing new businesses to the region throughout this period. These research outcomes carry several policy implications, suggesting that public policy interventions can positively shape the business environment, consequently bolstering the appeal of business investments in the region.
Most countries have adopted a more liberal policy to socialize public relations under the influence of neoliberalism and lobbying by economic elites to strengthen the role of market mechanisms and citizens’ entrepreneurial activity. The nature, scale, sequence, and strategy of economic and social reforms in each country have their specifics. Today multi-vector and large-scale changes are taking place in social and labor policy, and they do not always have an internal logic. The study assesses prospects for the development of the labor market in the context of global transformations. Within the framework of this study, the collected information was processed gradually. Data processing was modified during the study phase. At the first stage, data processing results were used to determine total and non-farm self-employment for two groups of countries with developing economies and estimate the scale of vulnerable employment. At the second stage, indicators were identified that characterize various categories of economically active population that belong to the precariat. At the third stage, the authors analyzed data on non-standard forms of employment. The authors assumed that these forms have a right to exist and will be implemented more often. There is an imbalance between standard and non-standard forms of employment. Further research should consider the transformation of labor from material and intangible dominants to creativity.
Purpose: There have been many studies on corporate social responsibility. Still, research on the dual relationship showing the impact of management control on corporate social responsibility and business performance has not been exciting researchers. The article also identifies and measures the elements of management control that affect compliance with corporate social responsibility and business performance. At the same time, the paper also analyzes the influence of compliance with corporate social responsibility on business performance. From the research results, listed companies will see the importance of designing management control and complying with corporate social responsibility to maximize the business’s profits. Findings: The article demonstrates the practicality of institutional theory in the relationship between management control, corporate social responsibility, and business performance. Institutional theory influences the relationship between management control, CSR, and business performance by highlighting the role of external institutional pressures, legitimacy, and conformity to societal norms. Companies that strategically integrate institutional expectations into their management control systems can enhance their CSR efforts, improve their reputation, and contribute to better business performance. Methodology: We collect data on 195 manufacturing enterprises listed on the Vietnam stock market in 6 sectors. This study’s main data analysis method is the structural equation modeling method (SEM). The article used AMOS software to evaluate and measure the influence of each factor. Practical implications: The article has analyzed five aspects of management control to corporate social responsibility and business performance: Size of the Board of Directors (BOD), percentage of independent members in the BOD, and concurrence. CEO and Chairman of the Board of Directors, state ownership ratio and foreign shareholder ownership rate. The results show that a company with a CEO who is not the Chairman of the BOD will have a higher level of CSR compliance than a company with a CEO who is also the Chairman of the BOD. The larger the Board size, the higher the level of CSR, but This has not been verified for the company’s business performance. The higher the foreign ownership ratio, the better the CSR compliance; however, this has the opposite direction for the state ownership rate. The higher the percentage of independent members on the Board of Directors, the lower the level of CSR compliance. In terms of impact on business performance in the enterprise: The higher the company’s compliance with corporate social responsibility, the better it’s business performance. A company with a CEO who holds the position of BOD will have lower business performance than companies with a CEO who does not hold the position of Chairman of the Board of Directors. Companies with a high percentage of state ownership will have lower business performance. The higher the percentage of independent members on the Board of Directors, the lower the business performance. Originality: This attests that the research paper I submitted is the result of my original and independent work. I have duly acknowledged all sources from which the ideas and quotations have been obtained. The project does not contain any plagiarism and has not been sent elsewhere for publication.
The main goal of the article is to formalize the key business models of marketing of modern companies and substantiate the key stages, types and trends of development. The relevance and need to pay significant attention to the marketing digital business model when organizing a business is substantiated. Using structural and logical analysis and criticism of scientific research, the essence, advantages and disadvantages are determined, the main blocks, stages and key elements of the structure of business models of modern companies are argued. It has been proven that marketing digital business models serve as a logical and visual plan for organizing all business processes of companies from production, marketing, sales and logistics to building a hierarchy of profitability. The key development trends are substantiated and the most popular business models of business organization in modern conditions are structured on the basis of scientific generalization, structural and logical analysis and mathematical modeling. Practical significance is characterized by the fact that the marketing business models of world-class companies are generalized and structured, taking into account their specifics and characteristics. Practical recommendations and key stages of building a company’s business model and its implementation into reality have been formed to achieve strategic business goals.
This investigation extends into the intricate fabric of customer-based corporate reputation within the banking industry, applying advanced analytics to decipher the nuances of customer perceptions. By integrating structural equation modeling, particularly through SmartPLS4, we thoroughly examine the interrelations of perceived quality, competence, likeability, and trust, and how they culminate in customer satisfaction and loyalty. Our comprehensive dataset is drawn from a varied demographic of banking consumers, ensuring a holistic view of the sector’s reputation dynamics. The research reveals the profound influence of these constructs on customer decision-making, with likeability emerging as a critical driver of satisfaction and allegiance to the bank. We also rigorously test our model’s internal consistency and convergent validity, establishing its reliability and robustness. While the direct involvement of Business Intelligence (BI) tools in the research design may not be overtly articulated, the analytical techniques and data-driven approach at the core of our methodology are synonymous with BI’s capabilities. The insights garnered from our analysis have direct implications for data-driven decision-making in banking. They inform strategies that could include enhancing service personalization, refining reputation management, and improving customer retention efforts. We acknowledge the need to more explicitly detail the role of BI within the research process. BI’s latent presence is inherent in the analytical processes employed to interpret complex data and generate actionable insights, which are crucial for crafting targeted marketing strategies. In summary, our research not only contributes to academic discourse on marketing and customer perception but also implicitly demonstrates the value that BI methodologies bring to understanding and influencing consumer behavior in the banking sector. It is this blend of analytics and marketing intelligence that equips banks with the strategic leverage necessary to thrive in today’s competitive financial landscape.
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