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Sustainable Development Through Data Analytics and Innovation

Techniques, Processes, Models, Tools, and Practices

Sustainable Development Through Data Analytics and Innovation
Sustainable Development Through Data Analytics and Innovation

Sustainable Development Through Data Analytics and Innovation

Techniques, Processes, Models, Tools, and Practices

Hardback / bound | English
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Description

Sustainable development is based on the idea that societies should advance without compromising their future development requirements.



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).

Specifications

  • Publisher
    Springer International Publishing AG
  • Pub date
    Sep 2022
  • Theme
    Business mathematics and systems
  • Dimensions
    235 x 155 mm
  • EAN
    9783031125263
  • Hardback / bound
    Hardback / bound
  • Language
    English

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