Buch, Englisch, 189 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 471 g
Reihe: Progress in IS
Techniques, Processes, Models, Tools, and Practices
Buch, Englisch, 189 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 471 g
Reihe: Progress in IS
ISBN: 978-3-031-12526-3
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
- Geowissenschaften Umweltwissenschaften Nachhaltigkeit
Weitere Infos & Material
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.