Framework and Strategic Approaches for Mazu Smart Tourism Using Artificial Intelligence

Ying Peng; Wenqiang Zhong; Qianyu Lin; Yuanfeng Chen

doi:10.47297/wspciWSP2516-252726.20250902

PDF
Export
Share
Collection
Album

Framework and Strategic Approaches for Mazu Smart Tourism Using Artificial Intelligence

Volume 9, Issue 2

Views: 0 Downloads: 0

Framework and Strategic Approaches for Mazu Smart Tourism Using Artificial Intelligence
Framework and Strategic Approaches for Mazu Smart Tourism Using Artificial Intelligence
1.College of Civil Engineering, PutianUniversity, Putian Fujian 351100, China
2.Vocational Education and Adult Education Office, Fujian Provincial Department of Education, 350001 Fuzhou, China
3.Business School, Putian University, Putian Fujian 351100, China
Vol. 9, Issue 2, Pages: 135-140(2025)
Published：23 April 2025
DOI：10.47297/wspciWSP2516-252726.20250902
Accepted：

Scan QR Code

Peng Ying,Zhong Wenqiang,Lin Qianyu,et al.Framework and Strategic Approaches for Mazu Smart Tourism Using Artificial Intelligence[J].Creativity and Innovation,2025,09(02):135-140.
DOI：

Peng Ying,Zhong Wenqiang,Lin Qianyu,et al.Framework and Strategic Approaches for Mazu Smart Tourism Using Artificial Intelligence[J].Creativity and Innovation,2025,09(02):135-140. DOI： 10.47297/wspciWSP2516-252726.20250902.

摘要

Abstract

As an important intangible cultural heritage of the Chinese nation

Mazu culture possesses a profound historical transmission value. However

in the context of modern tourism

its transmission path is relatively uncomplicated

and there is a deficiency in interaction and sense of participation. To address this

this study proposes an AI-enabled smart tourism model

which aims to enhance the tourist experience through intelligent tours

personalised recommendations and data analysis

and to promote the digital protection and innovative communication of cultural heritage. This study provides a theoretical framework andpractical—strategies for the inheritance

international communication and digital development of Mazu culture.

关键词

Keywords

references

Ulrike Gretzel et al.Smart tourism: foundations and developments[J].Electronic Markets,2015,25(3):179-188.

Jovicic, D. From the traditional understanding of tourism destinations to the smart tourism destination[J]. Curr. Issues Tour., 2017, 22: 276-282.

Novera Chowdhury Noushin et al. Internet of Things (IoT) in smart tourism: a literature review[J].Spanish Journal of Marketing - ESIC,2022,26(3):325-344.

Lázaro Florido Benítez et al. How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations[J].Electronics,2024, 13(21):4151-4151.

Sarkar, J.L.; Majumder, A.; Panigrahi, C.R.; Roy, S.; Pati, B. Tourism recommendation system: A survey and future research directions[J]. Multimed. Tools Appl., 2023, 82: 8983 –9027.

Tsaih, R.-H., & Hsu, C. C. Artificial intelligence in smart tourism: A conceptual framework[J]. Tourism Management Perspectives, 2022, 38: 100781.

Azis, N.; Amin, M.; Chan, S.; Aprilia, C. How smart tourism technologies affect tourist destination loyalty[J]. J. Hosp. Tour. Technol., 2020, 11: 603-625.

Otowicz, M.H.; Macedo, M.; Biz, A. Dimensions of Smart Tourism, and Its Levels: An Integrative Literature Review[J]. J. Smart Tour., 2022, 2: 5-19.

Samara, D.; Ioannis, M.; Vassilios, P. Artificial Intelligence and Big Data in Tourism: A Systematic Literature Review[J]. J. Hosp. Tour. Tech., 2020, 11: 343-367.

Zhang, Y., Sotiriadis, M., & Shen, S. Investigating the impact of smart tourism technologies on tourists' experiences[J]. Sustainability, 2022, 14(8): 3048.

Alert me when the article has been cited

Submit

Research on the transformation and development of college physical education under the background of artificial intelligence

An Exploration on How Advertising Contents Are Produced in The Era of Artificial Intelligence

Artificial Intelligence in Higher Education: Opportunities, Challenges, and Future Prospects

Application of large language models in government affairs

Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu

Related Author

Bing Han Liaoning University of International Business And Economics

Chaoyang Hu Nanchang Institute of Technology;Nanchang Institute of Technology

Chenyue Ni Nanchang Institute of Technology;Nanchang Institute of Technology

Tian Wang Nanchang Institute of Technology;Nanchang Institute of Technology