American Journal of Advanced Multidisciplinary Research and Innovation

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Multidisciplinary Research on Sustainable Innovation for Achieving Global Development Goals

Author(s) Atorod Azizinamini
Country United States
Abstract Sustainable innovation has emerged as a fundamental driver for addressing complex global challenges, including climate change, poverty, food insecurity, public health crises, environmental degradation, resource scarcity, and economic inequality. Achieving the United Nations Sustainable Development Goals (SDGs) requires integrated solutions that combine technological advancement, environmental stewardship, economic resilience, and social inclusion. Recent developments in Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Big Data Analytics, Cloud Computing, Blockchain Technology, Renewable Energy Systems, Circular Economy Models, Industry 5.0, Digital Twin Technology, Smart Cities, and Green Engineering have accelerated sustainable innovation across multiple disciplines. These emerging technologies enable intelligent decision-making, efficient resource management, sustainable industrial practices, and inclusive socio-economic development.
This study presents a comprehensive analysis of Multidisciplinary Research on Sustainable Innovation for Achieving Global Development Goals. A qualitative analytical research methodology based on secondary data is employed to investigate cross-disciplinary innovation frameworks, sustainable technologies, digital transformation, environmental management, circular economy practices, and policy-driven innovation ecosystems. The research evaluates how multidisciplinary collaboration enhances sustainable development, organisational resilience, resource efficiency, and global competitiveness.
The findings indicate that sustainable innovation significantly improves renewable energy adoption, smart agriculture, healthcare delivery, education accessibility, sustainable manufacturing, intelligent transportation, environmental monitoring, and digital governance. Artificial Intelligence supports predictive decision-making and resource optimisation, while IoT facilitates real-time environmental monitoring and smart infrastructure management. Blockchain enhances transparency and accountability in sustainable supply chains, whereas Digital Twin Technology enables virtual modelling for sustainable urban planning and industrial optimisation.
Despite these opportunities, challenges remain concerning policy fragmentation, digital inequality, financial constraints, technological interoperability, cybersecurity, environmental governance, workforce readiness, and ethical technology implementation. Future research should investigate explainable AI for sustainability, federated environmental intelligence, quantum-enabled resource optimisation, nature-inspired engineering, and integrated sustainability measurement frameworks.
The study concludes that multidisciplinary sustainable innovation provides a transformative pathway towards achieving the United Nations Sustainable Development Goals by integrating technological innovation, environmental sustainability, economic prosperity, and social well-being within resilient and inclusive global ecosystems.
Keywords Sustainable Innovation, Sustainable Development Goals, Artificial Intelligence, Digital Transformation, Circular Economy, Renewable Energy, Smart Cities, Industry 5.0, Environmental Sustainability, Multidisciplinary Research.
Field Engineering
Published In Volume 2, Issue 3, May-June 2020
Published On 2020-06-30
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