Sustainable Development Through Data Analytics and Innovation Techniques, Processes, Models, Tools, and Practices

Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and i...

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Bibliographic Details
Other Authors: Marx Gómez, Jorge (Editor), Yesufu, Lawal O. (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Progress in IS
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Marx Gómez, Jorge  |e [editor] 
245 0 0 |a Sustainable Development Through Data Analytics and Innovation  |h Elektronische Ressource  |b Techniques, Processes, Models, Tools, and Practices  |c edited by Jorge Marx Gómez, Lawal O. Yesufu 
250 |a 1st ed. 2022 
260 |a Cham  |b Springer International Publishing  |c 2022, 2022 
300 |a X, 189 p. 1 illus  |b online resource 
505 0 |a Chapter 1. The Impact of Business Analytics on Industry, Education and Professional Development -- Chapter 2. Green Purchasing Behavior on Social Media: A Goal-framing Theory Perspective -- Chapter 3. Business Analytics and Sustainability -- Chapter 4. Data Science and External Audit -- Chapter 5. Digitalization in Passengers’ Air Travel -- Chapter 6. Application of Blockchain Innovative Technology in Logistics and Supply Chain Management: A New Paradigm for Future Logistics -- Chapter 7. Industry 4.0: Drivers and Challenges in Developing the Smart Supply Chain Management -- Chapter 8. Reimaging Corporate Reporting in a Digital Economy Through Accounting Data Analytics -- Chapter 9. Responding to Covid-19 Emergency: The Packaging Machinery Sector in Italy -- Chapter 10. Achieving Sustainable Development Through Green HRM: The Role of HR Analytics -- Chapter 11. Understanding Malaysian B40 Schoolchildren's Lifestyle and Educational Patterns Using Data Analytics 
653 |a Data Analysis and Big Data 
653 |a Quantitative research 
653 |a Technological innovations 
653 |a Innovation and Technology Management 
653 |a Data mining 
653 |a Sustainability 
653 |a Data Mining and Knowledge Discovery 
653 |a Knowledge management 
653 |a Business information services 
653 |a Business Information Systems 
653 |a Knowledge Management 
700 1 |a Yesufu, Lawal O.  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Progress in IS 
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520 |a Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management