Leadership Practices and Process Reconstruction in the New Business Forms of Film-Tourism Integration Driven by Generative AI
DOI:
https://doi.org/10.62177/chst.v3i1.1084Keywords:
Generative AI, Film Tourism, Leadership Practice, Process Reconstruction, Non-Human AgencyAbstract
This paper explores how leaders' practices and reconstructing of processes are changing under the influence of Generative AI within the emergent industry of film tourism. The researcher, through an interpretivist paradigm, undertook semi-structured interviews with thirty-six industry leaders from film production and destination management industries. Data analyses were done through reflexive thematic analysis, which identified how professionals adapt to the integration of autonomous technological agents. The findings indicate that there was a significant shift in management from an approach based on tradition to one more dominated by cognitive orchestration, in which leaders balance human intuition with algorithmic agency. The findings emphasize that the reconstruction of organizational work processes shifted from linear models toward parallel and simultaneously coordinated digital ecosystems. The most important challenges involved the need for ethical stewardship to maintain cultural authenticity against automated content generation. This research informs how the convergence of cinematic storytelling with travel is being reconstituted through generative technologies. The framework will help to navigate human-AI collaboration in cultural industries.
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References
Spours, K. (2025). Socialized systems of generative artificial intelligence and the roles of technological organic intellectuals. Systems, 13(11), 944.
Feng, X., Wu, Z., Du, M., & Liang, W. (2024). Digital Social Sport Political Communication in China: A New Perspective of Theory, Issues and Paradigm. In Proc. 2024 3rd Int. Conf. on Comprehensive Art and Cultural Communication (CACC 2024), Springer Nature, vol. 863, p. 246.
Gu, P., & Liang, W. (2023). The Inner Dynamics of Kidult Culture: Trending Toys and games, Theme Parks, and Animated Movies. In SHS Web of Conferences, vol. 167, p. 01010, EDP Sciences.
Han, L., Wu, Z., Liang, W., Du, M., Hao, X., Zhang, S., & He, H. (2024). The Intersection of Age and Voice: A Comparative Study of Aging Communication and Youth Political Dialogue in Shenzhen. In Proc. 2024 5th Int. Conf. on Mental Health, Education and Human Development (MHEHD 2024), Atlantis Press, pp. 152-164.
Jiang, Z., Wu, Z., & Liang, W. (2024). Exploring Areas of Neglect: A Qualitative Study on the Dissemination of Sport Information for Over-65s on Social Media in China. In Proc. 2024 5th Int. Conf. on Mental Health, Education and Human Development (MHEHD 2024), Atlantis Press, pp. 617-625.
Liu, Z., Du, M., Liang, W., & Lai, S. (2023). Research on Cross-Cultural Communication Marketing of International Brands–Take Pepsi’s ‘Bring the Fun Home’ Microfilm Commercial Series as an Example. In Proc. 2023 9th Int. Conf. on Humanities and Social Science Research (ICHSSR 2023), Atlantis Press, pp. 1627-1637.
Liang, Y., Zhang, J., Chen, J., Wu, J., Shen, H., & Liang, W. (2025). Generative large language models and academic integrity: ethical risks, detection challenges, and Governance in the age of AI. Ethics & Behavior, 1-19.
Liang, W., Li, J., Wei, J., Min, Y., & Lam, A. T. Z. (2025). Interdisciplinary situational teaching for postgraduate connotative development: An integrated perspective of scaffolding theory and symbolic interactionism. Journal of International Students, 15(10), 153-176.
Liang, W., Shamshudeen, R. I., & Syed, M. A. M. (2025). Reverse Generative Learning: Intergenerational Learning for Global Readiness in Higher Education. Journal of International Students, 15(12), 119-140.
Mao, J., Li, Q., Du, M., Wu, Z., & Liang, W. (2024). Analyzing GrandInfluencers on Douyin: Thematic Trends and Communication Tactics in Online Discourse. In Proc. 3rd Int. Conf. on Culture, Design and Social Development (CDSD 2023), Springer Nature, p. 178.
Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2019). Technological disruptions in services: lessons from tourism and hospitality. Journal of service management, 30(4), 484-506.
Zhang, X., & Ren, Y. (2025). Revitalization of urban industrial heritage from a perspective of spatial production theory: The case study of “Old market” project. Journal of Asian Architecture and Building Engineering, 24(5), 3440-3456.
Wang, J., Zhang, J., Li, J., Liang, W., Shenhui, Ruan, J., ... & Wu, P. (2026). From Awareness to Participation: Diffusion of Innovation and Engagement of Older People in Barrier-Free Communities in Zhuhai, China. Journal of Aging & Social Policy, 1-23.
Wen, J., Tong, S., Liang, W., He, H., & Shen, H. (2025). Is the emotional and cultural need satisfied or not?–A qualitative study based on youth users learning dance through Douyin. Research in Dance Education, 1-22.
Zhao, Z., Shamshudeen, R. I. B., Jingfang, L., Zhenyu, Q., Wenrui, L., & Adnan, H. B. M. (2024). Research on the image design and communication mode of virtual influencer named Liu Yexi. Journal of the Balkan Tribological Association, 30(6).
Zhengkun, Z., Chuhao, G., Shenhui, S., Junhao, W., Jia, W., & Liang, W. (2025). Technology Acceptance and Service Experience of Elderly Users with AI Translation Tools. Journal of Management World, 2025(1), 467-472.
Zhu, X., Liang, W., Xv, W., & Wang, Y. (2023). The Key Strategies for Increasing Users’ Intention of Self-Disclosure in Human-Robot Interaction through Robotic Appearance Design. In SHS Web of Conferences, 165, 01012, EDP Sciences.
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Copyright (c) 2026 Xinluo Lu, Xuhang Li, Hejun Liang, Gaoshan Wu

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
DATE
Accepted: 2026-02-26
Published: 2026-04-08








