This research explores using community cultural capital to develop a Thai Phuan dance performance for elderly health promotion in Prachin Buri. Twenty informants, including local scholars, artists, and community leaders, were purposively selected. Data was collected through interviews, observation, and performance analysis, guided by the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The performance design integrated local Thai Phuan arts and culture, maintaining traditional melodies for familiarity while incorporating Lam Nam songs to enhance communication and evoke emotions. New lyrics raise awareness about stress reduction and muscle strengthening for the elderly. Movements blend Northeastern folk dance with music-related independent actions, incorporating recreation and exercise principles in warm-up, exercise, and cool-down phases.

The Digital Economy (DE) has significantly impacted the global economy. This paper presents a bibliometric analysis to explore the impact of digitalization on economic growth, covering literature from 2008 to 2024 sourced from the Scopus database. It aims to map the intellectual contours and evolution of research within economics, econometrics, finance, business, management, accounting, and environmental studies. The study identifies key themes, influential works, and authors by employing advanced data mining, visualization, and analytical techniques while highlighting theoretical and empirical underpinnings that connect digitalization with economic expansion. The analysis discerns a scholarly trajectory from the foundational role of digital technologies in economic development to a nuanced understanding of digitalization's interplay with sustainability and specific innovations like blockchain and Industry 4.0. The recent focus emphasizes integrating digital growth with sustainable development goals, indicating a shift towards examining the environmental impacts of digital advancements. This comprehensive overview charts the dynamic shifts in scholarly focus and underscores the significance of interdisciplinary approaches in navigating the complexities of digitalization's effects on economic growth, offering a roadmap for future research directions.

This study examines the impact of Environmental, Social, and Governance (ESG) Risk on foreign ownership of Saudi-listed companies, with corporate performance serving as a potential mediator. Using 2023 data from 117 listed companies on the Saudi Stock Exchange, we investigate whether ESG risk scores influence foreign investors' decisions and whether return on equity (ROE) mediates this influence. The findings suggest a high negative correlation between foreign ownership and ESG risk in a way that foreigners least desire firms with higher ESG risks. While ESG risk negatively affects ROE, its statistically non-significant mediating effect on foreign ownership exists. Also, Board size positively affects foreign ownership by reflecting the structural function of boards in welcoming outsiders. Bootstrap test of robustness confirms that the indirect effect of ROE is insignificant. The study contributes to the expanding literature on foreign investment and ESG by asserting the direct role of ESG risk on the investor's behavior.

This article analyzes the relationship between emotional intelligence and oral expression within the context of pedagogical practices, recognizing their direct impact on the comprehensive development of students. The purpose of the study was to understand how these two dimensions’ influence students academic and socio-emotional formation, and how they can be effectively integrated into teaching practice. The methodology employed was qualitative in nature, through an exhaustive documentary review of academic literature published over the last years, with an emphasis on relevant empirical and theoretical studies. The findings show that emotional intelligence significantly enhances oral communication skills by improving emotional self-regulation, empathy, and confidence in verbal interaction. Furthermore, oral expression is highlighted as a fundamental tool for emotional management and the construction of social bonds in the classroom. It is concluded that incorporating pedagogical strategies that integrate both components is essential to promote meaningful learning, collaborative environments, and a more inclusive and humanizing education.

Law No. 32058 on gender parity and alternation in the Peruvian electoral system is analyzed, investigating whether it represents a setback in women's political participation. Focusing on the social construction of gender and the concept of parity as a tool to guarantee an inclusive democracy, it is highlighted that Law No. 31030 made progress in implementing parity and alternation, Law No. 32058 eliminates horizontal parity and alternation in the presidential and regional lists, limiting the obligation to include women in the lists, which reduces the opportunities of access to high level positions for women, affecting female representation. Law No. 32058 implies a setback in gender equality in the Peruvian electoral system, this regulatory change could reduce the effective participation of women in positions of power with negative implications for the consolidation of a parity democracy.

This research aims to study marketing consistency management strategies to support the new normal in the business sector. The study conducted both qualitative and quantitative methods. The qualitative research involved in-depth interviews with nine experts and group discussions with eleven experts. For the quantitative research, a questionnaire-based survey was conducted with 500 entrepreneurs from business organizations that had received awards in marketing and management. Descriptive statistics, inferential statistics, and multivariate statistics were used. The findings demonstrate that marketing alignment management strategies support the new normal in the business sector. The priorities of the four components are as follows: 1) Management Focus (X̄ = 4.55), 2) Merchandise Focus (X̄ = 4.53), 3) Media Focus (X̄ = 4.51), and 4) Marketech Focus (X̄ = 4.46). The results of hypothesis testing indicated that the size of business sector organizations did not differ significantly at the 0.05 level. Analysis of the developed structural equation model showed that it met the evaluation criteria and was consistent with the empirical data. The chi-square probability level was 0.080, the relative chi-square was 1.129, the goodness-of-fit index was 0.957, and the root mean square error of approximation (RMSEA) was 0.016.

This article analyzes the effect of environmental, social, and governance (ESG) criteria on the choice and performance of financial portfolios. The study focuses on a sample of nine French industrial companies from the CAC 40, over the period from October 2016 to December 2022, divided into two sub-periods (before and during the crisis) using the k-means method. Three portfolios were constructed using genetic algorithms, according to the companies' ESG score level (high, medium, low), then compared using the stochastic dominance approach. The results show that before the crisis, portfolios with a high ESG score dominate others according to second- and third order. However, this dominance disappears during the crisis, highlighting the sensitivity of ESG performance to market conditions.

This research assesses the way AI-driven analytics help organizations operate more flexibly, make decisions quickly, and fully align their IT with business priorities. In the current digital era, companies depend on business analytics powered by AI to modify their IT strategies and improve their ability to decide. AI with business intelligence, organizations process huge amounts of data quickly to get useful information that supports efficient work and gives them an edge over their competitors. The focus is on how using smart automation and integrated data allows IT governance to become proactive and enterprise planning to adapt. A combination of qualitative and quantitative methods is used in this study. Through surveys given to 300 IT experts and leaders from many industries. The experience with AI-driven analytics tools and how they see AI helping with strategic planning was recorded. Deep insight into these factors was gathered through interviews with 20 IT executives. The author used SPSS software for statistics on numbers and thematic coding on words to look for similar themes and links between AI adoption and IT plan results. AI technology in business analytics is shown to help companies react more quickly, support data-driven choices and ensure alignment between the business and IT. With intelligent automation, there is less complexity in operating the business and to real-time analytics, reactions to market changes are faster. Some integration obstacles and data quality issues did not stop organizations from achieving better innovation and standing out in the market. The research makes clear that AI is key to having successful data-based and flexible IT systems in the future.

This paper explores the factors influencing the liquidity of listed joint-stock commercial banks on the Vietnamese stock market during the period from 2015 to 2022. The analytical data for this paper was collected from the financial reports of 20 listed joint-stock commercial banks on the Vietnamese stock market. The study employs least squares regression, random effects models, and fixed effects models to achieve its research objectives. The results indicate that bank size, equity ratio, profitability, non-performing loan ratio, loan-to-deposit ratio, cost ratio, and GDP growth rate are significant factors affecting the liquidity of listed joint-stock commercial banks in Vietnam. Based on these findings, several policy implications are proposed for joint-stock commercial banks and the State Bank of Vietnam.

This study is attempting to evaluate the performance of Chinese and Indian Green Logistics (GRL) between the years 1992–2020 by estimating GRL as total GDP divided by transport-related TCO₂ emissions. Both short-run and long-run impacts of GDP, foreign direct investment (FDI), renewable energy consumption (REC), and TCO₂ emissions are examined using ARDL bounds tests and Dynamic Conditional Correlation (DCC) analysis. By deviating from traditional country or sector-specific index approaches, this research introduces an innovative comparative analysis of two leading economies and depicts the time-varying correlation pattern among top drivers. The results show that long-run economic growth significantly enhances GRL performance in China and India but significantly worsens it by TCO₂ emissions. In addition, FDI becomes a significant driver for India, while REC exhibits differential effects between the two environments. The findings from DCC on China and India reveal that GDP has a strong and positive relationship with green logistics performance.