Sustainability, big data, and corporate social responsibility evidence from the tourism industry

"This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Respons...

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Bibliographische Detailangaben
Weitere Verfasser: Abdelli, Mohammed El Amine (HerausgeberIn), Mansour, Nadia 1984- (HerausgeberIn), Akbaba, Atilla 1969- (HerausgeberIn), Serradell-Lopez, Enric (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Boca Raton CRC Press 2022
Ausgabe:First edition.
Schriftenreihe:Information Technology, Management and Operations Research Practices
Schlagworte:
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Beschreibung
Zusammenfassung:"This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector. It discusses Big Data used with CSR and sustainability for the improvement of innovation and highlights the challenges and prospects. It presents a modern insight and approach for use by decision-makers as an application to solve various problems and explores how data collection can shed light on consumer behavior making it possible to account for existing situations and plan for the future. This book is intended to provide a modern insight for researcher, students, professionals, and decision-makers on the application of Big Data to improve CSR and sustainability in the tourism sector"--
Beschreibung:Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on May 10, 2022)
Beschreibung:1 online resource (xiii, 263 pages)
ISBN:9781003138051
1003138055
9781000572414
1000572412
9781000572469
1000572463