Sustainable Development Through Data Analytics and Innovation

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

Techniques, Processes, Models, Tools, and Practices, Progress in IS

ISBN: 3031125266
ISBN 13: 9783031125263
Herausgeber: Jorge Marx Gómez/Lawal O Yesufu
Verlag: Springer Verlag GmbH
Umfang: x, 189 S., 1 s/w Illustr., 189 p. 1 illus.
Erscheinungsdatum: 27.09.2022
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 6168655 Kategorie:

Beschreibung

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.

Autorenporträt

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 BusinessAnalytics 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).

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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