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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 / / edited by Alina Mihaela Dima, Mihaela Kelemen



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Titolo: Digitalization and Big Data for Resilience and Economic Intelligence : 4th International Conference on Economics and Social Sciences, ICESS 2021, Bucharest, Romania / / edited by Alina Mihaela Dima, Mihaela Kelemen Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (242 pages)
Disciplina: 330.028563
Soggetto topico: Technological innovations
Business information services
Economic development
Economics of Innovation
IT in Business
Innovation and Technology Management
Economic Growth
Persona (resp. second.): DimaAlina Mihaela
KelemenMihaela <1968->
Nota di bibliografia: Includes bibliographical references.
Sommario/riassunto: 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.
Titolo autorizzato: Digitalization and big data for resilience and economic intelligence  Visualizza cluster
ISBN: 3-030-93286-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910551829903321
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Serie: Springer Proceedings in Business and Economics, . 2198-7254