Cyber-physical Systems (CPS) have revolutionized urban transportation worldwide, but their implementation in developing countries faces significant challenges, including infrastructure modernization, resource constraints, and varying internet accessibility. This paper proposes a methodological framework for optimizing the implementation of Cyber-Physical Urban Mobility Systems (CPUMS) tailored to improve the quality of life in developing countries. Central to this framework is the Dependency Structure Matrix (DSM) approach, augmented with advanced artificial intelligence techniques. The DSM facilitates the visualization and integration of CPUMS components, while statistical and multivariate analysis tool such as Principal Component Analysis (PCA) and artificial intelligence methods such as K-means clustering enhance complex system the analysis and optimization of complex system decisions. These techniques enable engineers and urban planners to design modular and integrated CPUMS components that are crucial for efficient, and sustainable urban mobility solutions. The interdisciplinary approach addresses local challenges and streamlines the design process, fostering economic development and technological innovation. Using DSM and advanced artificial intelligence, this research aims to optimize CPS-based urban mobility solutions, by identifying critical outliers for targeted management and system optimization.

As the population’s demand for food continues to increase, aquaculture is positioned as a productive activity that provides high-quality protein. Aquaculture activity is characterized by its socio-economic impact, the generation of jobs, its contribution to food, and constant growth worldwide. However, in the face of threats of competition, producers must quickly adapt to market needs and innovate. Given this, this research aims to analyze the impact of the knowledge absorption capacity with the adoption of innovations by aquaculture producers in the Mezquital Valley in Hidalgo, Mexico. The methodological strategy was carried out through structural equation modeling using partial least squares and correlation tests. The findings show that knowledge absorption capacities explain 77.8% of the innovations carried out in aquaculture farms. Both variables maintain a medium-high correlation; the more significant the absorption capacity, the greater the innovation.

This study evaluated the performance of several machine learning classifiers—Decision Tree, Random Forest, Logistic Regression, Gradient Boosting, SVM, KNN, and Naive Bayes—for adaptability classification in online and onsite learning environments. Decision Tree and Random Forest models achieved the highest accuracy of 0.833, with balanced precision, recall, and F1-scores, indicating strong, overall performance. In contrast, Naive Bayes, while having the lowest accuracy (0.625), exhibited high recall, making it potentially useful for identifying adaptable students despite lower precision. SHAP (SHapley Additive exPlanations) analysis further identified the most influential features on adaptability classification. IT Resources at the University emerged as the primary factor affecting adaptability, followed by Digital Tools Exposure and Class Scheduling Flexibility. Additionally, Psychological Readiness for Change and Technical Support Availability were impactful, underscoring their importance in engaging students in online learning. These findings illustrate the significance of IT infrastructure and flexible scheduling in fostering adaptability, with implications for enhancing online learning experiences.

This research explores the role of social media in the political construction of identity, analyzing how these platforms mediate the expression and formation of individual and group political identities. The focus is on how social media changes the dynamics of communication and social interaction, facilitating the formation of “echo chambers” and increasing political polarization. Additionally, this study highlights challenges such as disinformation and the implications of social media for the health of democracy. As a researcher, I aim to highlight the broader implications of using social media in identity politics. By analyzing the impact of social media on political dynamics in Indonesia, this study reveals how social media influences public perception and political decisions. This study identifies how social media can be used as a tool to mobilize political support, but also how these platforms can spread disinformation and reinforce political polarization. Based on these concerns, researchers have not yet found research results that examine how social media specifically impacts the construction of political identity. This research aims to highlight how social media not only acts as a communication tool but also as a medium that influences the way individuals view and express their political identity. Through a qualitative approach, this study provides new insights into the impact of social media in contemporary political dynamics and the importance of digital literacy in addressing issues of identity politics in the digital era.

This study aims to examine and analyze financial statement fraud from the perspective of the hexagon theory using secondary data. The research sample was selected through purposive sampling, consisting of Ministries and Agencies in Indonesia. The research method employing the OLS (ordinary least squares) approach involves testing the model’s suitability through the F-statistical test, evaluating the coefficient of determination by examining, and conducting hypothesis testing using EViews. The findings of this study suggest that pressure and sscapability do not significantly influence financial reporting fraud. In contrast, opportunity, rationalization, arrogance, and collusion positively and significantly impact financial fraud reports. Implementing a whistleblowing system is crucial for ensuring that e-procurement encompasses all elements of government organizations, serving as a means of transparency and accountability to mitigate the occurrence of fraudulent financial reports within government entities, particularly in Ministries and Agencies in Indonesia. The financial audit opinion is not intended to detect fraud but to assess conformity with government accounting standards, the extent of disclosure, compliance with legislation, and the effectiveness of the government's internal control system. This can encourage institutions in other countries to strengthen the financial security of their organizations.

Presently, there exists a burgeoning trend of female entrepreneurs worldwide, notably within the realm of small and medium-sized enterprises (SMEs), many of which manifest as family-run enterprises. The systematic literature review endeavors to construct an integrative framework concerning the practical ramifications of female involvement in family businesses by amalgamating extant global studies. The findings elucidate the practical implications inherent in female participation across global family businesses, concurrently furnishing a reservoir of prospects for prospective investigations. The deduction posits the imperative eradication of gender disparities, cognizant that gender parity underpins economic and financial advancement and is contingent upon female involvement. Furthermore, familial enterprises are urged to acknowledge and integrate women’s contributions in entrepreneurial decision-making processes.

In recent years, the environment in the manufacturing industry has become strongly competitive, which is why companies have found it necessary to constantly adjust their strategies and take actions aimed at improving their performance and competitiveness in a sustainable way to grow and remain in the market. Therefore, this paper aims to present an analysis to explain the current situation in the manufacturing industry in Aguascalientes, Mexico, by means of a survey in which product eco-innovation (PEI), process eco-innovation (PrEI) and organizational eco-innovation (OEI) and its effect on environmental performance (EP) and sustainable competitive performance (SCP) were measured. The results show that (EP) is positively and significantly influenced by (PEI) and (PrEI), while no significant influence is found for (OE). Furthermore, it is confirmed that environmental performance positively and significantly influences (SCP). The findings obtained from this study point to the relevance of promoting eco-innovation activities in the manufacturing sector, as this will ensure sustainable competitiveness.