Ai Driven Sustainable Innovation And Sustained Competitive Advantage
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About this topic
AI-driven sustainable innovation is an emerging area of interest that combines artificial intelligence technologies with sustainability practices to create competitive advantages for businesses. This topic explores how organizations can leverage AI to develop eco-friendly solutions, optimize resource use, and enhance their overall sustainability strategies. By integrating advanced analytics, machine learning, and automation, companies can not only reduce their environmental impact but also drive innovation and maintain a competitive edge in a rapidly evolving market. Readers interested in this subject will find a rich array of resources that delve into the intersection of technology, sustainability, and business strategy.
Key Topics to Explore
- Artificial Intelligence in Business
- Sustainable Practices
- Innovation Strategies
- Competitive Advantage
- Corporate Social Responsibility
What You Will Find
Books on AI-driven sustainable innovation typically cover a range of topics including the role of AI in enhancing sustainability, case studies of successful implementations, and frameworks for integrating innovative practices into existing business models. Readers can expect a mix of theoretical insights and practical applications, catering to various levels of expertise, from business professionals seeking to improve their sustainability efforts to academics researching the intersection of technology and environmental responsibility.
Common Questions
What is AI-driven sustainable innovation?
AI-driven sustainable innovation refers to the use of artificial intelligence technologies to create new products, services, or processes that promote sustainability and reduce environmental impact.
How can companies gain a competitive advantage through sustainability?
Companies can gain a competitive advantage by adopting sustainable practices that improve efficiency, reduce costs, and enhance brand reputation, often supported by AI technologies.
What are some examples of AI applications in sustainability?
Examples include AI systems for optimizing energy consumption, predictive analytics for supply chain management, and machine learning algorithms for waste reduction.
Here are similar books you might find helpful:
AI-driven Sustainable Innovation and Sustained Competitive Advantage
Author: Ismail Younes Ibrahim Yamin
language: en
Publisher: Springer Nature
Release Date: 2026-04-30
This academic book examines the significant role of artificial intelligence in driving sustainable innovation and achieving sustained competitive advantage. It analyzes how organizations can implement AI technologies to promote responsible practices, enhance operational efficiencies, and develop innovative business models that withstand market changes. Drawing on scholarly papers and research, the book provides insights into how AI-based strategies contribute to long-term organizational growth while aligning sustainability objectives. Chapters include topics on digital administrative innovation and organizational creativity in the digital era, emphasizing talent management’s role in fostering innovation and maintaining institutional excellence. The impact of digital bureaucracy on public employee satisfaction is examined, offering perspectives on digital governance and workforce engagement. Further chapters focus on AI and digital tools for improved ESG reporting and sustainable business practices, highlighting how technology can support transparency and accountability. The role of digital manufacturing in promoting environmental sustainability through novel production techniques is discussed, alongside an analysis of financial technologies and their contributions to banking sustainability. Designed for researchers, scholars, business leaders, financial professionals, AI and ICT professionals, and students in management, information systems, sustainability strategy, and technology management, this book aims to provide a clear understanding of how AI and digital innovations shape sustainable business practices and competitive strategies in the era of digitalization.
AI-driven Sustainable Innovation and Sustained Competitive Advantage
Author: Ismail Younes Ibrahim Yamin
language: en
Publisher: Springer
Release Date: 2026-03-17
This academic book examines the significant role of artificial intelligence in driving sustainable innovation and achieving sustained competitive advantage. It analyzes how organizations can implement AI technologies to promote responsible practices, enhance operational efficiencies, and develop innovative business models that withstand market changes. Drawing on scholarly papers and research, the book provides insights into how AI-based strategies contribute to long-term organizational growth while aligning sustainability objectives. Chapters include topics on digital administrative innovation and organizational creativity in the digital era, emphasizing talent management’s role in fostering innovation and maintaining institutional excellence. The impact of digital bureaucracy on public employee satisfaction is examined, offering perspectives on digital governance and workforce engagement. Further chapters focus on AI and digital tools for improved ESG reporting and sustainable business practices, highlighting how technology can support transparency and accountability. The role of digital manufacturing in promoting environmental sustainability through novel production techniques is discussed, alongside an analysis of financial technologies and their contributions to banking sustainability. Designed for researchers, scholars, business leaders, financial professionals, AI and ICT professionals, and students in management, information systems, sustainability strategy, and technology management, this book aims to provide a clear understanding of how AI and digital innovations shape sustainable business practices and competitive strategies in the era of digitalization.
Business Resilience and Business Innovation for Sustainability
Author: Abdalmuttaleb M. A. Musleh Al-Sartawi
language: en
Publisher:
Release Date: 2025-06-08
This book is timely as it explores the double-edged nature of disruptive technologies in providing both challenges and opportunities for businesses in the age of digital transformation. Business resilience has two major forms related to timescales. Both kinds of resilience are identified as key for delivering sustainable development. The opposite is also found to be true. Both are needed to deliver either and to let businesses survive and grow. Sustainability is increasingly a strategic issue for firms seeking sustainable competitive advantage. It has been driven by stakeholder, legislative, and cost changes, including natural resource constraints (Frizzo-Barker et al. 2020). Business resilience has also been of interest recently due to the unpredictable effects of globalization and economic turbulence and in response to changing social limitations on, and expectations of, companies. The topic of sustainable development has become ubiquitous in the last 30 years (Henderson and Loreau, 2023), yet how to achieve such a goal, or whether it is even possible, remains a major unknown. This book attempts to provide a platform for researchers and practitioners to discuss sustainability in light of the eruption of disruptive technologies, legislations, regulations, and stakeholder demands. This book's purpose is twofold: it aims to explore artificial intelligence and digital transformation implications for achieving business resilience and business innovation. Second, it aims to cover unique and variety of interdisciplinary topics in the challenges and opportunities of disruptive technologies and how these advanced technologies can be implemented to contribute toward sustainable development goals and sustainability. Consequently, to address the aims of the book, it seeks exploratory, empirical, interpretive, and theoretical research built on either primary or secondary data. The approaches suggested are not exhaustive and can be extended upon by the researchers. In addition, the book contributes toward the UN's sustainable development goals.