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Full Description
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.
Contents
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
