This paper investigates the long-run and short-run effects of natural resource rents, economic growth, foreign direct investment, and inflation on human capital development in Chile and Nigeria. The paper employs the autoregressive distributed lag bounds testing approach, using annual data from 1980 to 2019 sourced primarily from the World Bank’s World Development Indicators and the Federal Reserve Economic Data. Human capital is proxied by the Human Capital Index. The findings reveal striking contrasts between the two countries. In Chile, resource rents and economic growth exert small but positive effects on human capital, consistent with a modest resource-blessing dynamic, while foreign direct investment and inflation are largely insignificant. In Nigeria, resource rents and GDP growth undermine human capital in the long run, confirming a resource-curse pattern, while foreign direct investment emerges as strongly positive in the long run but negative in the short run. Inflation is found to be consistently detrimental in both horizons, with far greater magnitude in Nigeria. Error correction terms confirm cointegration, with Chile exhibiting a faster speed of adjustment compared to Nigeria. The results highlight that the impact of resource rents on human capital is mediated by institutional quality, fiscal frameworks, and macroeconomic stability. Policy implications point to the importance of transparent resource revenue management, economic diversification, inflation control, and the strategic direction of foreign direct investment to ensure that resource wealth supports human capital accumulation.

Over the last few years, scholars in economics have come to acknowledge that stories and shared beliefs can shape economic outcomes just as strongly as data or policy measures. This idea is central to the concept of “Narrative Economics”. The approach emphasizes how narratives – compelling stories circulated through media, politics, and everyday discourse – can guide consumer choices, investment behavior, and even the trajectory of financial crises. Instead of dismissing these narratives as mere background noise, narrative economics views them as contagious phenomena, capable of spreading like epidemics, reshaping expectations, and driving real economic change. Gaining insight into such narratives is therefore essential for interpreting historical economic developments and anticipating future trends. The article addresses three research questions (RQ). According to RQ 1, the paper finds that behavioral economics has its focus on individual decision-making behavior and cognitive biases, while narrative economics is focusing on the social impact of collective narratives and storytelling. In accordance with RQ 2, the paper derives five research areas of narrative economics based on a systematic literature review between 2017 and 2025: macroeconomic effects of narratives, specific narrative themes, brain and behavior-related influence of narratives, narrative effects on the financial market, and the impact of narratives on economic theory. Related to RQ 3, the article determines to what extent narrative economics is integrated into economic theory up to now or how narrative economics can improve the understanding of the complexity of economic processes.

Sustainable tourism is essential for ensuring the long-term viability of the tourism industry, particularly in areas facing significant socioeconomic challenges. By adopting sustainable practices, tourism can drive economic growth and job creation while safeguarding local communities from exploitation, displacement, or cultural erosion. This approach helps balance economic benefits with social and environmental responsibility, ensuring that tourism remains a positive force for both visitors and host communities. The objective of this research was to investigate the influence of environmental integrity, social equity, and economic prosperity on sustainable tourism development, focusing on archaeological heritage, while critically examining how socioeconomic challenges shape or hinder this process. Quantitative-type research was applied and the study used a descriptive research design. A standardized questionnaire was used to collect 150 data points from Bangladeshi expert tourists using a purposive sampling technique. The data were collected during the period of January to February 2025. A partial least square structural equation modeling (PLS-SEM) approach was used to evaluate the data and test the hypotheses. The results of the PLS-SEM analysis technique revealed that environmental integrity and economic prosperity had a positive relationship with sustainable tourism development in the setting of archeological heritage in Bangladesh. The research article offers practical recommendations for tourism authorities, such as the Bangladesh Tourism Board (BTB) and Bangladesh Parjatan Corporation (BPC), to enhance sustainable tourism development in archaeological heritage sites amid prevailing socioeconomic challenges. It highlights strategies to balance environmental integrity and economic prosperity, ensuring that tourism contributes positively to heritage preservation and local communities in Bangladesh.

In today’s rapidly evolving business landscape, small and medium-sized enterprises in emerging economies face mounting socioeconomic challenges that compel them to innovate while sustaining operational efficiency. This study investigates the impact of entrepreneurial orientation on organizational ambidexterity within small and medium-sized enterprises operating in the industrial sector in Egypt. In an increasingly dynamic and competitive environment, small and medium-sized enterprises must balance exploratory and exploitative activities – an ability defined as organizational ambidexterity – to sustain innovation, adaptability, and performance. Drawing on the resource-based view and the dynamic capabilities perspective, this research explores how the dimensions of entrepreneurial orientation – namely innovativeness, proactiveness, and risk-taking – contribute to the development of ambidextrous capabilities. A quantitative research design was adopted, employing a structured questionnaire administered in 2025 to a sample of 392 employees working in small and medium-sized enterprises in the construction sector in Egypt. Data were analyzed using structural equation modeling to test the hypothesized relationships between the dimensions of entrepreneurial orientation and the two facets of organizational ambidexterity: exploration and exploitation. The findings demonstrate that most dimensions of entrepreneurial orientation – except for autonomy and risk-taking – positively influence ambidexterity, with risk-taking showing a negative effect and autonomy proving statistically insignificant. These results highlight the differentiated yet complementary roles of entrepreneurial orientation attributes in fostering ambidextrous behavior in resource-constrained environments such as small and medium-sized enterprises. The study contributes theoretically by extending the understanding of the role of entrepreneurial orientation in organizational learning and adaptability in emerging economies, and practically by offering strategic insights for leaders and policymakers seeking to enhance innovation and operational performance in response to ongoing socioeconomic challenges.

The turmoil associated with the recent pandemic inflation, coupled with uncertainties regarding global trade, is likely to cause much unnecessary tension among employees and managers in most nations, signifying that socioeconomic challenges are external adverse events that cause stress in employees. This study surveyed 503 working-age adults in Turkey during 2023 to assess their dominant task-relationship orientations and level of perceived stress. Data was added manually to Microsoft Excel, and variables were compared using a t-test analysis. As managers, Turkish adults tend to be significantly more relationship-oriented, which can serve as an effective mitigation buffer against feeling stressed. Analysis of data also confirmed that work experience, education, age, and government experience are statistically significant factors in task-relationship orientations and stress perceptions. The quantitative results are supplemented with practical observations of Turkish managers to assess the intersectionality of supervision and stress management practices. This research did not discover any significant differences in the task and relationship orientation of Turkish respondents based on gender, which is different from working adults in the United States, where men are more likely to be focused on tasks. Additionally, Turkish men and women have similar perceptions of stress in society. Limitations of the research, suggestions for future studies, and recommendations are provided. Given the current global challenges related to trade and national conflicts, understanding the cultural and contextual factors that influence stress perceptions is crucial for developing targeted interventions to promote well-being in the workplace and better working relationships with local and global counterparts. It is clear from this study that Turkish people are significantly more relationship-oriented (42.99), and their task orientation (40.93) falls in the moderately high range. The average stress perception of Turkish respondents is 29.06, falling in the moderate range. The study’s findings provide a foundation for management assessments and talent development strategies that are tailored to the strengths and stress profiles of individuals. Future research should further explore the role of leadership orientation in stress management and its implications for fostering healthier, more resilient work environments and interpersonal relationships.

This study evaluates the resilience of the energy sector to socioeconomic challenges in the Nepal Electricity Authority (NEA), focusing on customer satisfaction with service quality, security and privacy risk, trust, and perceived value. Utilizing a descriptive and causal research design, primary data were collected through surveys from a sample of 400 electricity service users, with 384 respondents from the Kathmandu Valley, Nepal. The study identifies customer satisfaction as the dependent variable, while independent variables include service quality, security and privacy risks, trust, and perceived value. Service quality has an insignificant and negative influence on customer satisfaction. In contrast, security and privacy risk, trust, and perceived value have positive and significant influence on customer satisfaction. The correlations show that service quality, perceived value, security and privacy risk, and trust significantly correlate with customer satisfaction. By focusing on areas that need improvement in service quality and privacy risk management, NEA can boost customer satisfaction and strengthen client relationships. Focusing on these elements will lead to increasing the resilience of the energy sector to socioeconomic challenges in energy services and a more favorable view of its services, aiding the organization’s growth in Nepal’s competitive service landscape.

The study explains the relationship between macroeconomic and firm-affecting variables with dividend payout policy in the Indian automobile firms. A comprehensive dataset covering 18 Indian automobile manufacturing companies listed on the Bombay Stock Exchange (BSE) Auto Index spanning from March 2015 to March 2024, covering a ten-year period, is being analyzed. The study employs a panel data regression model to investigate the socioeconomic challenges with determinants of dividend payout. The study applies Ordinary Least Squares (OLS) as a baseline model and employs advanced econometric techniques — Two-Stage Least Squares (2SLS) and the Generalized Method of Moments (GMM) — which checks potential endogeneity with improvement in the robustness of the results. In addition to the above methods, Tobin’s Q is applied to check the dividend payout being impacted by firm value. Model validity is ensured through various tests: Wald test (joint significance) and Hansen J-test (instrument validity). To check multicollinearity, autocorrelation, and heteroskedasticity, the following tests are used respectively: Variance Inflation Factor (VIF), Durbin-Watson test, Breusch-Pagan test, and later AR (2) test in GMM to check second-order autocorrelation. Robust standard errors are used to enhance inference reliability. The research findings highlighted the various socioeconomic challenges that affect the profitability, ownership, and macroeconomic stability and how significantly they influence dividend payout, with the GMM model offering the most consistent results. The research findings guide various policymakers, the automobile industry body, climate researchers, the governments, the central banks, auto manufacturers, investors, shareholders, and financial practitioners, helping in appropriate financial decision-making.

The contemporary legitimacy crisis in American policing, amplified by high-profile incidents of misconduct and long-standing racial and socioeconomic inequities, has spurred urgent demands for structural reform. Central to these reforms is the adoption of artificial intelligence (AI) and surveillance technologies, such as body-worn cameras and predictive analytics, which are increasingly framed as solutions to institutional opacity and public distrust. However, this article critically interrogates the ethical and equity implications of integrating AI into law enforcement, particularly when such tools are deployed within cultures of impunity and without community oversight. Through a rapid literature review of interdisciplinary research across criminal justice, ethics, and information systems, this study examines how the convergence of historical bias, algorithmic opacity, and organizational inertia risks reinforcing rather than redressing systemic harm and socioeconomic challenges. The absence of participatory governance and transparency in AI deployment further marginalizes the very communities these reforms purport to serve. This article contends that technological innovation, when divorced from ethical governance and equity-centered design, functions less as a corrective mechanism and more as a force multiplier for entrenched injustice and a means to an end. A reimagined framework for AI in policing must prioritize democratic accountability, community engagement, and the recalibration of organizational culture to ensure that digital reform does not become a proxy for deepening inequity, amplified and unchecked. This research contributes to the growing discourse on algorithmic justice by foregrounding the socio-technical dynamics at play and advancing normative principles for ethically aligned policing in the digital age.

This theoretical paper introduces a novel, author-developed conceptual framework: the “Integrated Historical-Economic Resilience Model (IHERM)”. This model examines cultural and philosophical messages of well-being transmitted across Japanese history, focusing on how these traditions have historically strengthened socioeconomic resilience and adaptive capacity to economic challenges from the prehistoric Jomon era (14,000–300 BCE) to the Edo period (1603–1868). By analyzing archaeological evidence, historical pilgrimage practices, and cultural traditions through a socioeconomic lens, this research proposes IHERM as an original theoretical model identifying enduring principles of economic stability and resource management that have helped communities navigate resource limitations, market shifts, and societal transformations throughout Japan’s history. IHERM distinguishes itself from existing well-being and resilience frameworks by offering a historically-grounded, culturally-specific, yet economically focused analytical tool. Unlike traditional models that often prioritize singular economic indicators or universal psychological well-being, IHERM integrates the dynamic interplay between collective well-being, resource sustainability, and socioeconomic adaptability, rooted in Japan’s unique historical experiences. This new integrated theoretical perspective specifically examines the Jomon people’s sustainable lifestyle and innovative resource allocation strategies alongside the popular Ohyama pilgrimage tradition of the Edo period, highlighting how these practices offered resilience during times of economic scarcity, societal stratification, and evolving resource demands. The theoretical framework suggests that these historical approaches to socioeconomic challenges offer valuable insights into modern well-being concepts such as ikigai (purpose in life), connection to community, and sustainable living. Crucially, IHERM provides a unique theoretical lens through which these concepts can be understood as actionable components for fortifying societal economic resilience against contemporary challenges, including resource depletion, income disparity, and global economic volatility. This theoretical research contributes to the understanding of how traditional Japanese cultural heritage, specifically through the framework of IHERM, can inform and enhance contemporary approaches to economic sustainability and collective well-being across diverse cultural and economic contexts.

This study investigates the empirical interaction between changing socioeconomic challenges and the construction sector in Cambodia. The empirical analysis applied uses data from the Statistical Yearbook of Cambodia (2021) to analyze the statistical relationship between socioeconomic , economic, demographic variables and construction. To do this, the study conducts a combination of regression analyses, Ordinary Least Squares in conjunction with Methods-of-Moments, while applying rigor to guarantee compliance with the CLR function assumptions. We find that the link between economic development and activity in construction is more complex than previously believed, with the role of the construction industry changing during economic development. Results show that the number of private dwelling construction projects can be explained by the ratio of primary education (-3.4), number of people employed in the educational sector (13.6), road construction (0.8), and net exports (-0.5). Future research should focus on i) potential endogeneity issues. This might emerge because activity might be conditional on the state of construction which, on the other hand, drives overall activity. ii) disentangling the effects of developments within domestic financial markets and their role in efficiently allocating financial capital to the real economy. Lastly, the significant impact of the Covid-19 crisis on the Cambodian economy, particularly the role of FP (fiscal policy) and MP (monetary policy) and efficient resource allocation within the construction industry. This aspect is crucial, as different industries responded variably to the shock and lock-down caused by Covid-19.