Big Data and Marketing Strategy in Sustainable Tourism and Hospitality Research
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Tourism, Culture, and Heritage".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 13747
Special Issue Editors
Interests: sustainability; marketing strategy; creativity; innovation; entrepreneurship
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
The new concept of big data technology can refresh perceptions of the traditional operation of sustainable tourism and hospitality and change the marketing strategy formation process. While some studies have investigated the mechanism of big data, fewer studies have explicitly considered extensions in the context of marketing strategy. This is arguably a major omission as available evidence suggests great potential for big data to affect the nature of tourism and hospitality marketing management.
The Special Issues will publish high-quality research papers on the inter-disciplinary field by integrating existing studies of big data, marketing strategy, and sustainable management in tourism and hospitality.
Therefore, we invite scholars to write conceptual, empirical studies, or case studies across all facets of big data, marketing strategy, tourism, and hospitality for sustainability. In particular, selected topics will include but are not limited to the following:
- Big data with sustainability
- Marketing strategy with sustainability
- Tourism with sustainability
- Hospitality with sustainability
- Tourism, hospitality, and sustainable cities and communities toward smart tourism, hospitality, and sustainable consumption and production
- Tourism, hospitality, and environment conservation
- Trends of tourism, hospitality, and conserve and sustainably use the oceans, seas and marine resources with big data technology
- Blockchain technology with sustainability
Dr. Chih-Hsing Sam Liu
Pro. Dr. Jeou-Shyan Horng
Guest Editors
Manuscript Submission Information
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Keywords
- big data
- marketing strategy
- sustainable
- tourism
- hospitality
- machine learning
- data mining
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