Automation and Its Influence on Sustainable Development: Economic, Social, and Environmental Dimensions

Sustainability, Год журнала: 2025, Номер 17(4), С. 1754 - 1754

Опубликована: Фев. 19, 2025

This study investigates the complex duality of automation and its impact on sustainable development, encompassing factors economic growth, social equity, environmental sustainability. Innovations in artificial intelligence, robotics, machine learning are driving transforming industries through improved production, operational efficiency, resource optimization. However, rapid integration has created a paradox. While it offers opportunities for optimization technological advancement, exacerbates challenges such as income inequality, degradation, displacement. These issues underline need balanced inclusive approaches to automation’s implementation. Automation contributes substantively GDP growth because raises labor productivity, yet arguably enhanced inequality by eliminating low-skilled jobs. improves energy efficiency aids renewable but increases overall effectiveness, leading concerns regarding ecological applied quantitative methodology using longitudinal data from 2000 2023 regression models examine sustainability metrics influenced automation. The findings highlight potential reform effective forms manufacturing, encourage innovation, identify systemic governmental policies. Specifically, results indicate that contributed 25% increase productivity across sectors, 15% reduction intensity per unit GDP, 12% rise Gini index, signaling growing inequality. outcomes emphasize both posed By integrating advancements with goals, can act transformative instrument promote conservation, equitable justice. paper concludes recommendations governments industry leaders incorporate into development objectives, ensuring distribution advantages, while alleviating socio-environmental hazards.

Язык: Английский

An Investigation of University Students’ Perceptions of Learning Management Systems: Insights for Enhancing Usability and Engagement

Sustainability, Год журнала: 2024, Номер 16(22), С. 10037 - 10037

Опубликована: Ноя. 18, 2024

Learning management systems (LMS) have become central to modern education, enabling accessible, personalized, and engaging learning experiences. This study aims investigate Saudi university students’ perception of LMS in order explore the critical factors that shape their engagement, satisfaction, acceptance these platforms. Drawing from existing literature points out usability challenges LMS, this hopes derive actionable insights optimize e-learning outcomes. Using Kelly’s repertory grid analysis technique, systematically captured analyzed personal constructs students associate with focusing on ease use, interactivity, content alignment educational needs. A sample 20 provided experiences features related usability, functionality, which are engagement. Findings indicate use is a major determinant acceptance, along interactivity relevant delivery supports diverse preferences. The identifies key elements improve platforms, fostering more digital environment supporting findings highlight aspects: satisfaction through user-friendly interfaces interactive features. Institutions incorporate student feedback into development will likely see improved research contributes deeper understanding user perceptions implies refinements can align platforms pedagogical demands higher education.

Язык: Английский

Understanding the Financial Transaction Security through Blockchain and Machine Learning for Fraud Detection in Data Privacy and Security

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский