Decision Support Systems for Sustainable Computing

1st Edition - May 23, 2024
Editor: Muhammet Deveci
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 3 5 9 7 - 9
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 2 3 5 9 8 - 6

Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The bo… Read more

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Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy, which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Chapter 1. Digital technologies and sustainable development—challenges and opportunities
Abstract
1.1 Introduction
1.2 Literature review
1.3 Conclusion and discussion
References
Chapter 2. Cloud technology and fuzzy-based decision support systems driving sustainable development
Abstract
2.1 Introduction
2.2 Literature review
2.3 Methodology
2.4 Case example
2.5 Sensitivity and comparison
2.6 Discussion—policies and initiatives for sustainable tech-driven health
2.7 Conclusion
References
Chapter 3. Measuring the digital economy efficiency using the Free Disposal Hull–Hicks–Moorsteen productivity technology
Abstract
3.1 Introduction
3.2 Methodologies
3.3 Data sample
3.4 Empirical illustration
3.5 Conclusions and recommendations
References
Chapter 4. Balanced scorecard-based evaluation of digitalization and technological transformation performance of small businesses
Abstract
4.1 Introduction
4.2 Theoretical framework
4.3 Methodology
4.4 Analysis results
4.5 Policy recommendations
4.6 Conclusion
References
Chapter 5. Digital technology and information and communication technology on the carbon footprint
Abstract
5.1 Introduction
5.2 Information and communication technology
5.3 Environmental impacts of information and communication technology
5.4 Factors affecting the reduction of carbon emissions in the information and communication technology sector
5.5 Policy implications
5.6 Conclusion
References
Chapter 6. Selecting a suitable Internet of Things platform for energy sustainability: a requirement-driven and basic uncertain linguistic information-based multicriteria decision making model with wisdom of crowds
Abstract
6.1 Introduction
6.2 Literature review
6.3 Novel requirement-driven multicriteria decision-making model for industrial energy management systems
6.4 Case study
6.5 Management implication
6.6 Conclusions
Acknowledgments
References
Chapter 7. Digital transformation technologies for sustainable supply chain
Abstract
7.1 Introduction
7.2 Sustainable supply chain under digital transformation technologies
7.3 Disruptive digital technologies and sustainable supply chain
7.4 Sustainability issue for digital supply chain
7.5 Maturity model
7.6 Sustainable performance via digital supply chains
7.7 Industry 4.0 technologies and sustainable performance
7.8 Policy implications
7.9 Conclusion
References
Chapter 8. Digital transformation for the sustainable development of business intelligence goals
Abstract
8.1 Introduction
8.2 An introduction to digital transformation and business intelligence in organizations
8.3 Business intelligence
8.4 Green business intelligence
8.5 Use cases of business intelligence
8.6 Business intelligence challenges
8.7 Review of business intelligence implementation models
8.8 Companies active in business intelligence
8.9 Corporate sustainability
8.10 Knowledge-based companies
8.11 Policy implications
8.12 Conclusion
References
Chapter 9. Towards smart aviation with sustainable development: artificial intelligence insights into the airline and advanced air mobility industries
Abstract
9.1 Background
9.2 Application of artificial intelligence in the traditional airline industry
9.3 Application of artificial intelligence in the advanced air mobility industry
9.4 Policy implication
9.5 Conclusion
Acknowledgements
References
Chapter 10. Digital finance in circular economy using decision support systems
Abstract
10.1 Introduction
10.2 An Alternative Ranking Order Method Accounting Two-Step Normalization
10.3 Case study
10.4 Results
10.5 Discussion
10.6 Conclusions
References
Chapter 11. Digital technology for sustainable development of an agricultural region
Abstract
11.1 Introduction
11.2 Artificial intelligence in agriculture
11.3 Technology in agricultural productions
11.4 Conclusion
References
Chapter 12. Sustainability transitions and their relationship to digital technology
Abstract
12.1 Introduction
12.2 Theoretical framework
12.3 Sustainable computing and digital technology
12.4 Challenges and opportunities
12.5 Key research gaps and opportunities for future research
12.6 Conclusion
References
Index

Muhammet Deveci

Dr. Muhammet Deveci is an Associate Professor at the Department of Industrial Engineering in the Turkish Naval Academy, National Defense University, Istanbul, Turkey, and he is Honorary Senior Research Fellow with the Bartlett School of Sustainable Construction, University College London, UK. Dr. Deveci is also a Visiting Professor at Royal School of Mines in the Imperial College London, London, UK. He worked as a Visiting Researcher and Postdoctoral Researcher, in 2014-2015 and 2018–2019, respectively, with the School of Computer Science, University of Nottingham, Nottingham, U.K. Dr Deveci is an outstanding researcher and has published over 240 papers in journals, as well as more than 25 contributions in International Conferences related to his areas. Dr. Deveci received the 100th-anniversary award for his worldwide scientific achievements from the Scientific and Technological Research Council of Turkey (TUBITAK).

Dr Deveci has also been engaged with the wider community providing academic service through chairing/organising conferences, streams, tutorials, reviewing papers, and acting as Editorial Board Member of journals including IEEE Transactions on Intelligent Vehicles (T-IV), IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence, and Artificial Intelligence Review.

Dr Deveci is an internationally recognized scientist in intelligent decision support systems underpinned by computational intelligence, particularly uncertainty handling, fuzzy systems, combinatorial optimization, and multicriteria decision making. His research and development activities are multidisciplinary and lie at the interface of operational research, computer science and artificial intelligence. He has been tackling challenging real-world problems without stripping off their complexities, including climate change, renewable energy, sustainable transport, and urban mobility.

Affiliations and expertise

Department of Industrial Engineering, National Defense University, Istanbul, Turkey