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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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Request a sales quoteDecision 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.
- Provides a broad overview of emerging trends and technologies in decision support systems applications
- Investigates recent trends and core concepts in digital technology transformation as applied to the circular economy and sustainable development
- Analyzes the application of decision support systems models across a range of case studies and processes which rely on multi-criteria decision-making and have been designed specifically to improve overall sustainability
Researchers, graduate students, and professionals working in the fields of computational modelling, applied mathematics, and process engineering
- 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
- No. of pages: 300
- Language: English
- Edition: 1
- Published: May 23, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443235979
- eBook ISBN: 9780443235986
MD
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, TurkeyRead Decision Support Systems for Sustainable Computing on ScienceDirect