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From data privacy to environmental sustainability: Comprehensive perspectives on smart tourism challenges

This commentary critically examines the integration of smart tourism technologies within the tourism and hospitality sectors, focusing on their role in enhancing tourist experiences and operational efficiencies. Through a multidisciplinary approach encompassing a literature review, case studies, and empirical data analysis, the analysis adopts a constructivist perspective to explore tourists’ subjective experiences with technology. It highlights significant personalization, efficiency, and sustainability advancements while acknowledging challenges related to digital infrastructure and privacy concerns. Advocating for a balanced and sustainable approach that respects environmental integrity and cultural heritage, the commentary concludes with recommendations for future research on the socio-economic impacts of smart tourism, ethical data usage, and the adaptation of technologies to diverse contexts. It calls for increased investment in digital infrastructure and stakeholder collaborative efforts to promote sustainable and inclusive tourism development.

Image destination engagement from a cultural perspective—A neuromarketing approach for a Spanish-German study

The importance of the image of the tourist destination in the communication and marketing of a tourist destination is beyond doubt. For this reason, numerous studies address these issues. However, not so many do so from the perspective of the emotion the receiver feels, which is why this study deals with analyzing the emotion generated in the receiver through neuromarketing techniques and measuring the level of engagement felt. As a fundamental part of this study, we added the variable of cultural differences, both generically and specifically for gender and age. We are mainly guided by the theories of Life Cycle Theory and Generational Theory to analyze age differences. At the same time, gender differences are approached from the Gender Role Theory. The sample comprises one hundred individuals with apparent cultural differences, one sample of German origin and residence and the other of Spanish origin and residence, 50/50. We approached the study from the point of view of the emotion felt by the receiver of the message based on ten neuromarketing techniques (EGG) and ten images used by a famous tourist destination known in both countries. The results suggest that not only are there differences in the emotion felt after viewing images of a tourist destination, but that these differences are also explained by cultural background, gender, and age.

Research on BaaS-based tourism logistics cloud platform architecture in the perspective of territorial tourism

Zhenhan Yu, Bin Ye, Ke Liu

Article ID: 1699
Vol 2, Issue 2, 2021

DOI: https://doi.org/10.54517/st.v2i2.1699

Received: 6 July 2021; Accepted: 21 August 2021; Available online: 6 September 2021; Issue release: 30 October 2021

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Abstract

On the basis of the analysis of the new tourism logistics mode in the perspective of the whole area tourism, it points out the change to the city The new requirements of the public operation and management service platform of tourism logistics in the city region are pointed out, and the necessity of building a cloud service architecture for urban tourism logistics is established. The necessity of constructing urban tourism logistics cloud service system architecture is established. The feasibility of applying blockchain technology to the construction of tourism logistics cloud service platform is also analyzed accordingly. At the same time, the framework model of hybrid cloud architecture of urban tourism logistics based on BaaS is proposed.

Keywords

comprehensive tourism; block chain; BaaS; tourism logistics; cloud logistics

References

1. Lin H, Lin L, Zhu Z, et al. A Review on the study of comprehensive tourism in China. Tourism Research 2018; (10): 62–74.

2. Zhao C, Ren J, Chen Y, et al. Spatial-temporal coupling and driving gorces of China’s provincial tourism industry and regional development under the background of comprehensive tourism. China Population, Resources and Environment 2018; (3): 149–159.

3. Wang K. Study on the development of comprehensive tourism. Tourism and Hospitality Prospects 2018; (1): 72–78.

4. Ge M, Liu X. Study on system architecture of tourism logistics. Logistics Technology 2013; (3): 33–35.

5. Liu Y. Study on application of LDT-CER model in tourism logistics industry. Logistics Technology 2014; (6): 62–64.

6. Yu Z, Ye B, Liu K, et al. Study on the correlation of tourism economy and logistics in Chengdu based on grey relevance analysis. 2017 7th ESE International Conference on Management Science, Education Science and Human Development (ESE-MEH 2017); 2017. p. 238–245.

7. Yu Z, Huang W, Hu Q, et al. Study on platform of informatization management about tourism logistics in smarter tourism area based on hybrid cloud: A case of mMount Qingcheng and Dujiangyan scenic area. Logistics Technology 2014; (8): 396–399.

8. Huang W, Yu Z, Lou A. Analysis of the informatization mode of tourism logistics based on supply chain. 2015 5th International Conference on Applied Social Science (ICASS 2015); 2015. p. 3–8.

9. Zhang K. Application and research status of block chain. Management in Business and Enterprise 2011; (1): 114–116.

10. Wang C, Wan Y, Qin Q, et al. A model of logistics information ecosphere of supply chain based on block chain. Information Studies: Theory & Application 2017; (7): 115–121.

11. Yang H, Sun L, Zhao X. Build mutual trust supply chain information system based on block chain. Science and Technology Progress and Policy 2018; (3): 21–31.

12. Wang L, Zhao X. Research on service composition strategy based on block chain mechanism in cloud computing environment. Application Research of Computers 2019; (1).

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Nanfang College Guangzhou, China

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