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

ISBN-13: 9783031125263 / Angielski / Twarda / 2022 / 189 str.

Jorge Marx Gomez;Lawal O. Yesufu

Opis

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.

Spis treści

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.

O autorze

Jorge Marx Gómez is a Full Professor and Chair of Business Information Systems at the Carl von Ossietzky University Oldenburg (Germany). He is furthermore the Director of the Center for Environmental and Sustainability Research (COAST) at Oldenburg University and board member of the Energy Group at OFFIS-Institute at Oldenburg University. His research interests include business information systems, federated ERP-systems, business intelligence, data science, applied AI, interoperability, environmental management information systems, ICT for sustainability and e- and mobile-commerce. Jorge Marx Gómez successfully coordinated several national and international research projects, capacity building and mobility projects (Tempus, Erasmus Mundus, DAAD) and participated in several EU-FP7 projects.

Lawal O. Yesufu is an Assistant Professor of Business, Higher Colleges of Technology, Sharjah (United Arab Emirates). He is the Academic Program Chair of the Business Analytics programme in the Faculty of Business. His research areas comprise business analytics, innovation and organisational psychology in the context of higher education. Dr. Yesufu is a Member of the British Computer Society (BCS), Project Management Institute (PMI) Professional in Business Analysis (PMI-PBA), Academic Fellow of the Chartered Institute of Personnel and Development (CIPD) and Senior Fellow of the Higher Education Academy (HEA).