Multi-Criteria Decision Making Methods and Sustainable Applications in the Digital Age

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Serkan Derici

Multi-Criteria Decision Making Methods and Sustainable Applications in the Digital Age

Serkan Derici

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English

Engineering Science Reference
10 September 2025

Management decision making; Sustainability; Enterprise software

As digital technologies reshape how societies operate, the challenge of ensuring sustainability has become more urgent and complex. The integration of innovations like artificial intelligence, big data, and cloud computing have transformed how decisions are made, requiring more nuanced and data-driven approaches. Multi-criteria decision making (MCDM) methods have emerged as essential tools for balancing competing priorities in a rapidly evolving digital landscape. These methods enable policymakers, businesses, and institutions to evaluate complex alternatives and implement more sustainable, informed strategies. In this way, digitalization and sustainability are increasingly interlinked, shaping the future of responsible innovation and governance. Multi-Criteria Decision Making Methods and Sustainable Applications in the Digital Age examines the intersection of digital transformation and sustainability through the lens of MCDM methods. It offers theoretical insights and practical applications that guide readers in making balanced, data-driven decisions for sustainable development in the digital age. Covering topics such as artificial intelligence, fuzzy logic, and sustainability, this book is an excellent resource for researchers, academicians, policymakers, business leaders, and more.

Edited by: Serkan Derici
Imprint: Engineering Science Reference
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798369387900
Pages: 576
Publication Date: 10 September 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Serkan Derici , who works at Nevşehir Hacı Bektaş Veli University, has scientific studies on digitalization, big data, machine learning, multi-criteria decision making and supply chain management. Currently working as Assistant Professor and Associate Dean at the same institution, Derici wrote his master's thesis on Service Quality with Fuzzy AHP and his PhD thesis on Supply Chain Management with Big Data and Machine Learning Algorithms. He teaches undergraduate and graduate courses on Operations Research, Production Management, Supply Chain Management, Statistics, Decision Making and Multi-Criteria Decision Making. Additionally, he serves as a journal editor and quality manager. In addition to his published works, he has published books on digital supply chain management and big data, digital transformations.