ISBN13: | 9781032566887 |
ISBN10: | 1032566884 |
Binding: | Hardback |
No. of pages: | 488 pages |
Size: | 234x156 mm |
Weight: | 1060 g |
Language: | English |
Illustrations: | 89 Illustrations, black & white; 1 Halftones, black & white; 88 Line drawings, black & white; 63 Tables, black & white |
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Engineering in general (charity campaign)
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Engineering sciences (charity campaign)
Database management softwares (charity campaign)
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Handbook of Digital Innovation, Transformation, and Sustainable Development in a Post-Pandemic Era
GBP 165.00
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Businesses have faced many difficulties as a result of the global pandemic. Digital technologies have played a crucial role in addressing these issues and fostering resilience. It is, therefore, imperative to explore options for post-pandemic business transformation and rethinking sustainable development.
Businesses have faced a variety of difficulties as a result of the global pandemic, and how they responded to this disruption has affected both their resilience and their ability to get through this crisis. Digital technologies have played a crucial role in addressing these issues and fostering resilience. It is, therefore, imperative to explore options for post-pandemic business transformation and rethinking sustainable development.
Handbook of Digital Innovation, Transformation, and Sustainable Development in a Post-Pandemic Era, covers digital innovation and business transformation to build resilience for sustainable development and growth and highlights the impact of supply chain disruptions and solutions to sustain. The handbook stands out for its inclusion of industry cases from various regions across the globe. By presenting the use of big data, blockchain technology, and Industry 4.0, the handbook conveys how to work towards sustainable development and offers self-reliant and sustainable business models.
Researchers and practitioners in industrial engineering, engineering management, business management, supply chain management, and digital technologies along with businesses can apply the research and practices covered in the handbook.
Chapter 14 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Section 1. Digital Innovation and Transformation for Sustainability. 1. A Framework for Building Resilience through Innovation and Process Optimization in AI-Powered Digital Transformation. 2. Driving Business Sustainability through Digital Supply Chains. 3. Digital Transformation Framework for Logistics Service Providers: Systematic Literature Review. 4. Achieving Business Sustainability with Blockchain Technology. 5. Blockchain Revolution: Transforming Business Sustainability in the Era of Industry 4.0 and Financial Innovation. 6. Supply Chain Risk Management, Optimization, and Performance Analytics through Blockchain Integration: Bibliometric Analysis. Section 2. Environmental Sustainability and Digitalization. 7. Environmental Sustainability: Digitalization and Big Data. 8. Green Logistics: A New Frontier for Economic Growth and Social Development in Türkiye and Poland. 9. Energy Efficient Design Strategies for Buildings: Lessons from High Performance Buildings. Section 3. Sustainability Strategies and Management. 10. From Industry 4.0 to Industry 5.0: Transitioning to Circular Business Paradigms - A Review. 11. Industry 4.0 and Sustainability of Human Resources. 12. Model of Dual Management (DM) in Company Scale. 13. A Stochastic Programming Model for Managing Supply Chain Disruptions in the Post-Covid-19 Era. Section 4. Digital Innovation, Transformation, and Sustainability: Industry Cases. 14. Profitability of Shipping and the Role of Fleet Ownership ? North European Company Case Study. 15. A Case Study: Lean Transformation at Sultan Qaboos University Hospital in Oman. 16. Tata Motors: Driving into the Future with Sustainability and Innovation. 17. Blockchain in Healthcare: A Critical Evaluation. 18. Digital Transformation in Advertising after COVID-19: Routing the New Landscape. 19. Identifying predictors and comparing Machine Learning algorithms to detect erroneous Medicaid adjudication in the USA.