<i>‘The </i>Handbook on Big Data Marketing and Management in Tourism and Hospitality<i> is a vital resource for both professionals and scholars in our field. This comprehensive volume curates a collection of cutting-edge research, insightful case studies, and best practices that illuminate the transformative impact of big data. I wholeheartedly endorse this Handbook as a pivotal source that will empower its readers to navigate the complexities of big data marketing and management within our industry. Congratulations to the editors on assembling such a timely and invaluable resource.’</i>

- Fevzi Okumus, University of Central Florida, USA,

<i>‘The important topic of Big Data, critical as the “raw material “for AI, is very well covered, structured and dissected in this book´s content. The rich spectrum of issues discussed ranges from value-creation, reshaped business models, IoT, ethics and sustainability, as well as emerging technologies. The book takes the view that the future of tourism depends not only on preserving the natural and cultural assets that attract visitors but also on ensuring that the industry contributes positively to local communities and global environmental goals.’</i>

- Luiz Moutinho, University of Suffolk, UK,

<i>‘As a groundbreaking resource for students, scholars, and industry professionals, this book expertly navigates the intersection of Big Data and Industry 4.0. With its robust theoretical foundations and rich case studies, the book charts new horizons for harnessing analytics and machine learning to revolutionize service experiences, sustainability, and business strategy in the digital era.’</i>

- Yangyang Jiang, University of Nottingham Ningbo, China,

This comprehensive Handbook serves as a key reference for Big Data theorization and implementation that will drive the next generation of marketing and management in tourism and hospitality. It explores the need for systemizing knowledge around using Big Data in decision-making and how the service industries are heavily influenced by data-driven sciences and their relevant applications.



Chapters demonstrate that tourism is at the forefront of Big Data mining, analysis, and implementation, looking ahead to how this technology offers new opportunities for more personalized intelligence that further increases organizational capabilities in decision-making, marketing, innovation, business models, and service management. Presenting new theoretical insights and practical case studies, this Handbook provides a cutting-edge perspective on the conceptual and managerial aspects of Industry 4.0 apps and particularly those of Big Data for the tourism and hospitality industries. The contributing authors set out the importance of developing the next generation of Big Data analytics and the necessary supporting mechanisms for Generative Artificial Intelligence to achieve greater effectiveness and applicability.



This book is an essential read for scholars and students of hospitality and tourism, particularly those with a focus on marketing and management, as well as managers and organizations within these sectors.

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Contents Preface xiii Introduction to the Handbook on Big Data Marketing and Management in Tourism and Hospitality 1 Nikolaos Stylos and Jeremy Zwiegelaar 1 Adoption and assimilation of Big Data in tourism organizations 12 Nikolaos Stylos and Jeremy Zwiegelaar 2 Using Big Data to gain insights into customer emotions after a tourist experience 22 Enrique Bigné, Carmen Perez-Cabañero, Carla Ruiz and Antonio Cuenca 3 Big data denial and transformative possibilities: exploring the meaning of big data in Corfu’s SMEs 39 Julia Fallon and Nicola Williams-Burnett 4 Unveiling the motivations: a text-mining analysis of tourist motivations in the heart of Europe 56 Ana Luiza Beck, Ricardo Godinho Bilro and Sandra Maria Correia Loureiro 5 Has COVID-19 altered consumers’ green brand image of hotels? 75 Estefania Ballester Chirica, Carla Ruiz Mafé and Natalia Rubio Benito 6 Value creation framework of voluntarily provided geographic information in smart destinations 111 Zhihao Chen 7 Issues and opportunities for tourism SME businesses: how is Big Data changing business models? 129 Jeremy Zwiegelaar and Nikolaos Stylos 8 Google Maps data for tourism real-time monitoring and analytics: the case of Cultural Tourism, Sweden 145 Matthias Fuchs, Tobias Eberle and Wolfram Höpken 9 Shaping the online destination image of Venice: comparative perspectives of international and domestic tourists 167 Eleonora Pantano and Nikolaos Stylos 10 Internet of Things and big data in the hospitality industry: current state and future prospects 193 Mengyun Hu 11 Creating value with big data tourist analytics 212 Isabella Nocella, Eleonora Pantano and Saverino Verteramo 12 Ethical challenges of big data in tourism 231 Sahil Sharma 13 Big Data Sustainability Network: marketing intelligence for activating sustainability in the tourism industry 249 Nikolaos Stylos and Peter Robinson 14 Digital technologies in reputation management: a conceptual framework of smart green perception for the tourism industry 278 Faheem Uddin Syed 15 Conceptualising the impact of blockchain for promoting sustainable practices in the UK hospitality sector 308 Mohammed Ali Albakri, Aniekan Essien and Oyegoke Teslim Bukoye 16 Big data in marketing services and products: impacts of marketing and ethics 330 Jeremy Zwiegelaar and Nikolaos Stylos 17 Big Data as a propeller for the tourism sector: present opportunities and future perspectives 344 Nikolaos Stylos and Jeremy Zwiegelaar
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Produktdetaljer

ISBN
9781035300129
Publisert
2025-04-10
Utgiver
Vendor
Edward Elgar Publishing Ltd
Høyde
234 mm
Bredde
156 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
386

Om bidragsyterne

Edited by Nikolaos Stylos, Associate Professor in Marketing and Digital Innovation, University of Bristol Business School, University of Bristol and Jeremy Zwiegelaar, Senior Lecturer in Enterprise and Business, Oxford Brookes Business School, Oxford Brookes University, UK