Younes Ibrahim Yamin AI-driven Sustainable Innovation and Sustained Competitive Advantage

AI-driven Sustainable Innovation and Sustained Competitive Advantage

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Beschreibung

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.


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.


Offers a holistic exploration of how AI can be used as a catalyst for sustainable innovation and competitive advantage Enables collaboration among different fields, such as IT, artificial intelligence, sustainable management, and economics Plans to showcase empirical studies, guidelines and case analyses

Autor*in

Ismail Younes Ibrahim Yamin

Themen in »AI-driven Sustainable Innovation and Sustained Competitive Advantage«

AI-driven sustainable competitive advantage open innovation Big data analytics cost optimization Resource optimization

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Details

ISBN: 9783032154590
Verlag: Springer International Publishing
Erscheinung: 30.04.2026

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