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Women and entrepreneurship in Mali: towards an understanding of motivations and obstacles in the informal sector
Full text linkThis research paper explores the motivations and obstacles faced by women entrepreneurs in Mali’s informal sector. Adopting a qualitative approach, the study conducted semi-structured interviews with fifteen women entrepreneurs operating in commercial and service activities within two neighborhoods of the Kati region. Thematic analysis, facilitated by NVIVO 21, revealed that women predominantly engage in subsistence entrepreneurship driven by necessity, aiming to support themselves and their families amidst limited employment alternatives and low educational attainment. Key obstacles identified include significant challenges in accessing finance, difficulties in securing clientele, high tax burdens, and the struggle to balance business with domestic responsibilities. Most participants relied on personal savings, informal savings groups (tontines), and family support rather than formal banking services, reflecting both a fear of indebtedness and limited trust in financial institutions. The lack of entrepreneurial support and business training further constrains business growth and sustainability. The findings underscore the importance of targeted policy interventions, improved access to formal financing, and enhanced support services to empower female entrepreneurs and promote the formalization and resilience of their enterprises
The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024)
Full text link This research paper evaluates the transformative impact of artificial intelligence (AI) in combating financial crimes and money laundering within international trade from 2010 to 2024. The primary objectives are to assess the development and effectiveness of AI-driven algorithms in detecting illicit transactions, analyze the role of machine learning in real-time monitoring and predictive analytics, and investigate regulatory and ethical challenges that constrain AI’s full potential in financial crime prevention. Employing a mixed-methods approach, the study integrates qualitative insights from case studies of major financial institutions and multinational corporations with quantitative analyses of AI adoption metrics, detection rates, and financial crime trends, drawing on data sourced from leading regulatory bodies such as the Financial Action Task Force, World Bank, and International Monetary Fund.
Key findings indicate that AI, particularly through machine learning and predictive analytics, has significantly enhanced the accuracy and efficiency of anti-money laundering (AML) frameworks, reducing false positives and improving real-time detection of suspicious activities. Notable improvements include a 20% reduction in false positives at HSBC, a 25% increase in illicit activity detection at JPMorgan Chase, and substantial fraud loss reduction at PayPal. However, persistent challenges such as regulatory fragmentation, data privacy concerns, ethical dilemmas, and the adaptive tactics of financial criminals continue to hinder optimal AI deployment.
The study underscores the need for strengthened regulatory harmonization, robust data governance, and continuous innovation in AI-driven compliance solutions. It recommends fostering cross-border collaboration and updating AI systems to counter evolving financial crime methodologies
Assessing the Dynamics of Fintech and Financial Inclusion in Reducing Inequality in Malaysia: a Bayesian-Wavelet approach
Full text linkThis paper examines the impact of FinTech on financial inclusion and inequality reduction in Malaysia within the framework of SDG 10. Using a Bayesian VAR model and wavelet coherence analysis (2004–2022), the study analyzes dynamic links between FinTech, inclusion, inequality, and growth. A FinTech Adoption Index (PCA) and a novel Financial Inclusion Index are constructed. Results reveal bidirectional causality, with FinTech and inclusion jointly reducing disparities and fostering inclusive growth. Policy implications highlight the need for inclusive ecosystems, literacy programs, and adaptive regulation
The Purple Economy as an Economic Strategy: Growth, Employment, and Exports in Portugal
Full text linkThis study examines the purple economy as a cultural pillar of sustainable development in Portugal, where fragmented governance, modest investment, and weak internationalization limit potential. It hypothesizes that integrating cultural value into economic policy enhances growth, employment, and competitiveness. Using a descriptive–analytical approach with secondary data, results show that cultural and creative sectors contribute 2.5% of GDP, employ over 200,000 workers, and generate €714 million in exports. Despite reliance on secondary sources, the study highlights the need for coordinated strategies and contributes originality by applying the purple economy framework to Portugal and outlining policy implications for sustainable growth
AI Marketing and Its Role in Enhancing E-Commerce within Economic Enterprises: An Analytical Study of Tesla’s Experience (2012–2024)
Full text link This study investigates the role of artificial intelligence (AI) in transforming marketing strategies and enhancing e-commerce performance within economic enterprises, using Tesla’s experience from 2012 to 2024 as a case study. The primary objective is to examine how AI-powered marketing influences the traditional marketing mix (product, price, place, and promotion) and drives e-commerce growth. The research employs a dual methodological approach: a descriptive method to clarify core concepts and an analytical method to interpret the interplay between AI integration and marketing effectiveness. Key findings reveal that Tesla’s proprietary AI systems have enabled highly interactive, cost-effective digital marketing, significantly boosting online sales and customer engagement. Specifically, AI-driven product customization, dynamic pricing, direct distribution, and digital promotion—notably through CEO Elon Musk’s social media influence—have established Tesla as a leader in automotive e-commerce, with over 70% of vehicle sales conducted online. Despite external disruptions in 2024, Tesla’s AI-centric approach has ensured resilience and sustained growth. The implications suggest that AI-powered marketing is a dominant strategic direction for modern enterprises, offering cost efficiency, enhanced customer insights, and global market competitiveness. The study recommends widespread adoption of AI marketing across industries and emphasizes the need for organization-wide AI literacy
Green human resource management as a strategic approach to achieving organizational sustainability: A study of a sample of Tunisian companies
Full text linkDespite growing interest in green human resource management (GHRM), research remains concentrated in Asian contexts with limited empirical investigation in North African countries like Tunisia, where conceptual consensus and standardized assessment tools are lacking, particularly for small and medium-sized enterprises facing green transition challenges.This study examines GHRM theoretical foundations and practical implementation in Tunisian companies to understand how practices are structured and their impact on organizational efficiency and environmental sustainability. A mixed-method approach was employed, combining a quantitative survey of 40 companies across various sizes and sectors, semi-structured interviews with 10 HR and CSR experts, and two start-up case studies. Data were analyzed using SPSS with Chi-square tests, Pearson and Spearman correlations, and descriptive statistics.Results show GHRM is progressively transforming Tunisian corporate practices through training and environmental awareness. The industrial sector demonstrates highest integration with formal policies, while primary and tertiary sectors remain developmental. Company size significantly influences adoption, with large firms more likely formalizing green policies (χ² = 8.76, p < 0.05). A positive correlation exists between GHRM adoption and organizational performance (r = 0.57, p < 0.01). Implementation barriers include limited management commitment, insufficient resources, and weak environmental culture. Recommendations emphasize developing national GHRM strategies with financial incentives, senior management involvement, and environmental culture promotion
Impact of Economic and Social Infrastructures on the Long-run Economic Growth in Nepal
Full text linkThe long-term effects of Nepal’s social and economic infrastructure on economic growth are examined in this study. It is based on secondary data gathered from numerous economic surveys, documents from the Nepalese government’s budget, and publications from the country’s central bank, Nepal Rastra Bank. The descriptive and exploratory research designs are applied. Descriptive statistics, correlation analysis, ARDL bound testing, Breusch-Godfrey serial correlation test, heteroscedasticity, and Jarque-Bera normality test are some of the statistical and econometric methods employed. Investment in social infrastructure and economic growth are significantly positively correlated. There is a strong correlation between social infrastructure and economic infrastructure in Nepal’s economic development. There is long-run co-integration between economic growth and social and economic infrastructures. One percent increase in social infrastructure investment results in a 1.521 percent increase in GDP but a one percent increase in economic infrastructure results 0.456 percent increase in GDP. Investment in social infrastructure has a multiplier effect on the GDP growth of Nepal. Therefore, investment in social infrastructure is more profitable for the nation.
 
Reading the reality of business incubators and emerging institutions in the United States of America, the People's Republic of China, the United Kingdom
Full text link This study aims to analyze the reality of business incubators and emerging institutions in three global economic powers: the United States of America, the People's Republic of China, and the United Kingdom, by comparing policies, infrastructure, services provided, and economic performance of these systems, This study highlights that the success of business incubators is not only measured by infrastructure or financing, but by the integration of government policies, cooperation between universities and the private sector, and the cultural environment that motivates leadership. The three experiences are reference models that developing countries can benefit from to design support systems for emerging institutions towards achieving sustainable development and knowledge -based economy
The Ethical Behaviour of Employees in Travel Agencies - A Case Study of Tunisian Travel Agencies-
Full text linkIn this study, an attempt is made to focus on the ethical behaviour of employees in Tunisian travel agencies and to clarify the ethical practices of the employees and how they affect customer satisfaction. This is based on a methodology grounded in a descriptive and analytical perspective through the formulation of a questionnaire to collect data, then analyzing them using SPSS software for a sample which consists of 136 clients who have relationships and dealings with Tunisian travel agencies. The results of the data analysis showed that the general level of customer satisfaction was high and statistically significant, in light of the multiple dimensions governing the adoption of ethical behaviours in dealing with clients
Exploring the Nexus Between Organizational Culture and Corporate Social Responsibility: Evidence from Scopus Database Analysis
Full text link This study conducts a comprehensive bibliometric analysis to explore the intellectual structure and research evolution at the intersection of organizational culture and Corporate Social Responsibility (CSR). Utilizing the Scopus database and advanced bibliometric tools, the study analyzes publication trends, key research clusters, author collaboration networks, and thematic evolution in this interdisciplinary domain. The findings reveal significant growth in scholarly interest, with distinct research clusters emerging around sustainability-oriented organizational culture models, employee engagement through CSR, and cultural mediators in CSR implementation. The United States and United Kingdom dominate the research landscape, while institutions like Swinburne University of Technology, Universidade de São Paulo, and The Hong Kong Polytechnic University lead in research productivity. Journal articles comprise the majority of publications, spanning diverse disciplines including management, ethics, sustainability, and public health. The authorship analysis highlights the need for careful interpretation due to potential data indexing limitations. The temporal analysis reveals exponential growth, culminating in a peak in 2020, likely influenced by the COVID-19 pandemic. This bibliometric mapping establishes a comprehensive knowledge base, identifies research gaps, and provides insights for future interdisciplinary investigation in this critical organizational domain. The findings contribute to both organizational behavior and corporate sustainability literature, offering evidence-based insights for management practice and CSR effectiveness in diverse cultural contexts