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Digitalization and Big Data for Resilience and Economic Intelligence - 4th International Conference on Economics and Social Sciences, ICESS 2021, Bucharest, Romania (1st ed. 2022) Loot Price: R5,688
Discovery Miles 56 880
Digitalization and Big Data for Resilience and Economic Intelligence - 4th International Conference on Economics and Social...

Digitalization and Big Data for Resilience and Economic Intelligence - 4th International Conference on Economics and Social Sciences, ICESS 2021, Bucharest, Romania (1st ed. 2022)

Alina Mihaela Dima, Mihaela Kelemen

Series: Springer Proceedings in Business and Economics

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Loot Price R5,688 Discovery Miles 56 880 | Repayment Terms: R533 pm x 12*

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This book highlights the economic and social science perspectives in light of COVID-19. During 2020, leaders found themselves at historic crossroads, taking decisions under remarkable pressures and uncertainties. However, windows of opportunity are being created to shape the economic recovery, restore the health of the environment, develop sustainable business models, strengthen regional development, revitalize global cooperation, harness Industry 4.0, and redesign the social contracts, skills, and jobs. This book is an excellent resource for all those interested in economics and social sciences perspectives on digitalization and big data, especially in the light of the recent crisis determined by COVID-19. The chapters cover topics related to new models in entrepreneurship and innovation, sustainability and education, data science and digitalization, marketing and finance, etc., that will develop innovative instruments for countries, businesses, and education to revive after the crisis.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Proceedings in Business and Economics
Release date: March 2023
First published: 2022
Editors: Alina Mihaela Dima • Mihaela Kelemen
Dimensions: 235 x 155mm (L x W)
Pages: 236
Edition: 1st ed. 2022
ISBN-13: 978-3-03-093288-6
Categories: Books
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LSN: 3-03-093288-5
Barcode: 9783030932886

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