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001 394046
003 ES-MaUEC
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008 220926s2022 sz | s |||| 0|eng d
020 _a9783031125270
024 7 _a10.1007/978-3-031-12527-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aSustainable Development Through Data Analytics and Innovation
_bTechniques, Processes, Models, Tools, and Practices
_cedited by Jorge Marx Gómez, Lawal O Yesufu
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (X, 189 páginas)
_b1 illus
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aProgress in IS
_x2196-8713
505 0 _aChapter 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.
520 _aSustainable 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.
700 1 _aMarx Gómez, Jorge
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYesufu, Lawal O
_eeditor literario
_0(orcid)0000-0001-9585-8971
_1https://orcid.org/0000-0001-9585-8971
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783031125263
776 0 8 _iPrinted edition:
_z9783031125287
776 0 8 _iPrinted edition:
_z9783031125294
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-12527-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Computer_2022
999 _c394046
_d394046