Javascript is required
Aburumman, A., Abou-Shouk, M., Zouair, N., & Abdel-Jalil, M. (2023). The effect of health-perceived risks on domestic travel intention: The moderating role of destination image. Tour. Hosp. Res., 14673584231172376. [Google Scholar] [Crossref]
An, S., Choi, Y., & Lee, C. K. (2021). Virtual travel experience and destination marketing: Effects of sense and information quality on flow and visit intention. J. Destin. Mark. Manag., 19, 100492. [Google Scholar] [Crossref]
Ashfaq, J., Hassan, H., Khan, A., & Khan, M. W. (2022). The impact of mass media, word-of-mouth on travel intention and mediating role of destination image and tourist attitude. Int. J. Acad. Res. Bus. Soc. Sci., 12(10), 3224–3239. [Google Scholar]
Bae, J. I. S., Park, H., & Kim, T. J. (2023). Factors influencing student satisfaction and intention to stay in the hospitality and tourism program. J. Teach. Travel Tour., 23(2), 130–158. [Google Scholar] [Crossref]
Baloglu, S. & McCleary, K. W. (1999). A model of destination image formation. Ann. Tour. Res., 26(4), 868–897. [Google Scholar] [Crossref]
Bansal, H. S. & Voyer, P. A. (2000). Word-of-mouth processes within a services purchase decision context. J. Serv. Res., 3(2), 166–177. [Google Scholar] [Crossref]
Chen, M. L., Xie, Z. H., Zhang, J., & Li, Y. Y. (2021). Internet celebrities’ impact on luxury fashion impulse buying. J. Theor. Appl. Electron. Commer. Res., 16(6), 2470–2489. [Google Scholar] [Crossref]
Chen, X. & Cheng, Z. F. (2023). The impact of environment-friendly short videos on consumers’ low-carbon tourism behavioral intention: A communicative ecology theory perspective. Front. Psychol., 14, 1137716. [Google Scholar] [Crossref]
Chen, Y. C., Shang, R. A., & Li, M. J. (2014). The effects of perceived relevance of travel blogs’ content on the behavioral intention to visit a tourist destination. Comput. Hum. Behav., 30, 787–799. [Google Scholar] [Crossref]
Chi, C. G., Deng, D. S., Chi, O. H., & Lin, H. X. (2024). Framing food tourism videos: What drives viewers’ attitudes and behaviors? J. Hosp. Tour. Res., 48(3), 533–548. [Google Scholar] [Crossref]
CNNIC. (2024). The 53th Statistical Report on China’s Internet Development. China Internet Network Information Center. https://www.cnnic.net.cn/NMediaFile/2024/0325/MAIN1711355296414FIQ9XKZV63.pdf [Google Scholar]
Coursaris, C. K., Hassanein, K., Head, M. M., & Bontis, N. (2012). The impact of distractions on the usability and intention to use mobile devices for wireless data services. Comput. Hum. Behav., 28(4), 1439–1449. [Google Scholar] [Crossref]
Du, X., Liechty, T., Santos, C. A., & Park, J. (2022). ‘I want to record and share my wonderful journey’: Chinese Millennials’ production and sharing of short-form travel videos on TikTok or Douyin. Curr. Issues Tour., 25(21), 3412–3424. [Google Scholar] [Crossref]
Duan, X. & Yoon, J. (2021). The influence of TikTok’s tourism information quality on destination familiarity, image, and future visit intention: Focused on Yunnan Province in China. Int. J. Tour. Hosp. Res., 35(12), 5–20. [Google Scholar]
Ducoffe, R. H. (1996). Advertising value and advertising on the web. J. Advert. Res., 36(5), 21–35. [Google Scholar]
Echtner, C. M. & Ritchie, J. B. (1993). The measurement of destination image: An empirical assessment. J. Travel Res., 31(4), 3–13. [Google Scholar] [Crossref]
Fang, X., Xie, C. W., Yu, J., Huang, S. S., & Zhang, J. C. (2023). How do short-form travel videos trigger travel inspiration? Identifying and validating the driving factors. Tour. Manag. Perspect., 47, 101128. [Google Scholar] [Crossref]
Fei, C. & Koo, J. J. (2020). The impact of communication characteristics of short video content on users’ revisit intentions-a case study of TikTok (Douyin). J. Brand Design Assoc. Korea, 18, 51–66. [Google Scholar]
Fong, S. F., Ong, Y. X., Ating, R., & Besa, M. S. (2024). Exploring the intermediary effects of TikTok on Generation Z’s visit intention. J. Vacat. Mark. [Google Scholar] [Crossref]
Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res., 18(1), 39–50. [Google Scholar] [Crossref]
Fu, Y. K. & Wang, Y. J. (2021). Experiential value influences authentic happiness and behavioural intention: Lessons from Taiwan’s tourism accommodation sector. Tour. Rev., 76(1), 289–303. [Google Scholar] [Crossref]
Gan, J., Shi, S., Filieri, R., & Leung, W. K. (2023). Short video marketing and travel intentions: The interplay between visual perspective, visual content, and narration appeal. Tour. Manag., 99, 104795. [Google Scholar] [Crossref]
Gao, L. L. & Bai, X. S. (2014). An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theory. Asia Pac. J. Mark. Logist., 26(2), 168–189. [Google Scholar] [Crossref]
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Springer Nature. [Google Scholar]
Han, J. Y., Zhang, G. G., Xu, S. G., Law, R., & Zhang, M. (2022). Seeing destinations through short-form videos: Implications for leveraging audience involvement to increase travel intention. Front. Psychol., 13, 1024286. [Google Scholar] [Crossref]
Hospitality.today. (2023). TikTok’s undeniable impact on travel and tourism. https://www.hospitality.today/article/tiktoks-undeniable-impact-on-travel-and-tourism [Google Scholar]
Huang, Z., Li, X., & Gao, Y. (2002). Measurement and analysis on tourism destination image: Taking Nanjing as a study case. Nankai Bus. Rev., 5(3), 69–73. [Google Scholar]
Jalilvand, M. R. (2017). Word-of-mouth vs. mass media: Their contributions to destination image formation. Anatolia, 28(2), 151–162. [Google Scholar] [Crossref]
Jiang, J., Hong, Y. X., Li, W. W., & Li, D. (2022). A study on the impact of official promotion short videos on tourists’ destination decision-making in the post-epidemic era. Front. Psychol., 13, 1015869. [Google Scholar] [Crossref]
Kah, J. A., Lee, C. K., & Lee, S. H. (2016). Spatial-temporal distances in travel intention-behavior. Ann. Tour. Res., 57, 160–175. [Google Scholar] [Crossref]
Lee, W. G., Park, S., & Jeong, C. (2022). Repositioning risk perception as a necessary condition of travel decision: The case of North Korea tourism. J. Hosp. Tour. Manag., 52, 252–263. [Google Scholar] [Crossref]
Li, H. & Tu, X. X. (2024). Who generates your video ads? The matching effect of short-form video sources and destination types on visit intention. Asia Pac. J. Mark. Logist., 36(3), 660–677. [Google Scholar] [Crossref]
Li, J. J., Xu, L. Z., Tang, L., Wang, S. Y., & Li, L. (2018). Big data in tourism research: A literature review. Tour. Manag., 68, 301–323. [Google Scholar] [Crossref]
Li, P. & Sun, Y. (2024). Impact of internet celebrities’ short videos on audiences’ visit intentions: Is beauty power? Humanit. Soc. Sci. Commun., 11, 381. [Google Scholar] [Crossref]
Li, Y. L. & Hayes, S. (2024). Comparing the influences of tourism live streaming and short-form video for young Chinese: A qualitative investigation. J. China Tour. Res., 20(1), 167–191. [Google Scholar] [Crossref]
Li, Z. G. & Zhang, J. (2023). How to improve destination brand identification and loyalty using short-form videos? The role of emotional experience and self-congruity. J. Destin. Mark. Manag., 30, 100825. [Google Scholar] [Crossref]
Liang, L. F., Xia, J. P., Wu, G., & Li, T. (2024a). Do tea-drinking habits affect individuals’ intention to visit tea tourism destinations? Verification from the Chinese cultural background. J. China Tour. Res., 1–24. [Google Scholar] [Crossref]
Liang, X. D., Huo, Y. D., & Luo, P. (2024b). What drives impulsive travel intention in tourism live streaming? A chain mediation model based on SOR framework. J. Travel Tour. Mark., 41(2), 169–185. [Google Scholar] [Crossref]
Liao, S. S., Lin, C. Y., Chuang, Y. J., & Xie, X. Z. (2020). The role of social capital for short-video platform users’ travel intentions: SEM and Fsqca findings. Sustainability, 12(9), 3871. [Google Scholar] [Crossref]
Liao, S. S., Lin, C. Y., & Xie, X. Z. (2023). Effects of short-form video application users’ guanxi on intention to visit rural tourism destinations: The moderating role of tourism fatigue. J. Vacat. Mark. [Google Scholar] [Crossref]
Lin, H. Z., Wen, H. Y., & Ma, Z. K. (2024a). A study on the construction of destination image for China’s county-level integrated media centers: A case study of four counties in Fuzhou. Front. Commun., 9, 1346212. [Google Scholar] [Crossref]
Lin, W. H., Lin, Q. H., Tang, D. C., & Yan, Y. Z. (2024b). A study on the factors influencing the intention to revisit forest tourism based on PMT-TPB? Curr. Psychol., 43, 11841–11853. [Google Scholar] [Crossref]
Liu, J., Wang, Y. J., & Chang, L. Y. (2023). How do short videos influence users’ tourism intention? A study of key factors. Front. Psychol., 13, 1036570. [Google Scholar] [Crossref]
Lu, C. S., Weng, H. K., Chen, S. Y., Chiu, C. W., Ma, H. Y., Mak, K. W., & Yeung, T. C. (2020). How port aesthetics affect destination image, tourist satisfaction and tourist loyalty? Marit. Bus. Rev., 5(2), 211–228. [Google Scholar] [Crossref]
Luo, X. M. (2002). Uses and gratifications theory and e-consumer behaviors: A structural equation modeling study. J. Interact. Advert., 2(2), 34–41. [Google Scholar] [Crossref]
Luvsandavaajav, O., Narantuya, G., Dalaibaatar, E., & Raffay, Z. (2022). A longitudinal study of destination image, tourist satisfaction, and revisit intention. J. Tour. Serv., 13(24), 128–149. [Google Scholar] [Crossref]
MacInnis, D. J. & Jaworski, B. J. (1989). Information processing from advertisements: Toward an integrative framework. J. Mark., 53(4), 1–23. [Google Scholar] [Crossref]
Muhamad, N., Islam, S., & Leong, V. S. (2022). Social comparison orientation and religious commitment influence on outbound travel intentions. Asia Pac. J. Tour. Res., 27(11), 1144–1166. [Google Scholar] [Crossref]
Munaro, A. C., Hübner Barcelos, R., Francisco Maffezzolli, E. C., Santos Rodrigues, J. P., & Cabrera Paraiso, E. (2021). To engage or not engage? The features of video content on YouTube affecting digital consumer engagement. J. Consum. Behav., 20(5), 1336–1352. [Google Scholar] [Crossref]
Netemeyer, R. G. & Bearden, W. O. (1992). A comparative analysis of two models of behavioral intention. J. Acad. Mark. Sci., 20, 49–59. [Google Scholar] [Crossref]
Nitzl, C., Roldan, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Ind. Manag. Data Syst., 116(9), 1849–1864. [Google Scholar] [Crossref]
Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness. J. Advert., 19(3), 39–52. [Google Scholar] [Crossref]
Qiu, L. W., Li, X. P., & Choi, S. H. (2024). Exploring the influence of short video platforms on tourist attitudes and travel intention: A social-technical perspective. J. Destin. Mark. Manag., 31, 100826. [Google Scholar] [Crossref]
Quintal, V. & Phau, I. (2015). The role of movie images and its impact on destination choice. Tour. Rev., 70(2), 97–115. [Google Scholar] [Crossref]
Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. J. Strateg. Inf. Syst., 11(3–4), 271–295. [Google Scholar] [Crossref]
Robert, D. & John, R. (1982). Store atmosphere: An environmental psychology approach. J. Retail., 58(1), 34–57. [Google Scholar]
Song, S. J., Zhao, Y. X. C., Yao, X. L., Ba, Z. C., & Zhu, Q. H. (2021). Short video apps as a health information source: An investigation of affordances, user experience and users’ intention to continue the use of TikTok. Internet Res., 31(6), 2120–2142. [Google Scholar] [Crossref]
Stylos, N., Vassiliadis, C. A., Bellou, V., & Andronikidis, A. (2016). Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination. Tour. Manag., 53, 40–60. [Google Scholar] [Crossref]
Tellis, G. J., MacInnis, D. J., Tirunillai, S., & Zhang, Y. (2019). What drives virality (sharing) of online digital content? The critical role of information, emotion, and brand prominence. J. Mark., 83(4), 1–20. [Google Scholar] [Crossref]
Thorson, K. S. & Rodgers, S. (2006). Relationships between blogs as eWOM and interactivity, perceived interactivity, and parasocial interaction. J. Interact. Advert., 6(2), 5–44. [Google Scholar] [Crossref]
Wang, C., Cui, W. J., Zhang, Y. T., & Shen, H. W. (2022a). Exploring short video apps users’ travel behavior intention: Empirical analysis based on SVA-TAM model. Front. Psychol., 13, 912177. [Google Scholar] [Crossref]
Wang, X. C., Oh, Y., Park, S. Y., Hong, S. M., & Lai, P. L. (2024). Factors influencing travelers’ intention by environmental changes of destination: Cross‐country evidence from Far‐East Asia. Int. J. Tour. Res., 26(4), e2705. [Google Scholar] [Crossref]
Wang, X., Yu, Y., Zhu, Z., & Zheng, J. (2022b). Visiting intentions toward theme parks: do short video content and tourists’ perceived playfulness on TikTok matter? Sustainability, 14(19), 12206. [Google Scholar] [Crossref]
Wang, Y. Y., Lin, Y. J., & Lin, B. S. (2020). The factors that affect usage intentions and travel intentions of travel-related WeChat Official Accounts. Sustainability, 12(15), 6108. [Google Scholar] [Crossref]
Woodside, A. G. & Lysonski, S. (1989). A general model of traveler destination choice. J. Travel Res., 27(4), 8–14. [Google Scholar] [Crossref]
Wu, G. H. & Ding, X. Y. (2023). Which type of tourism short video content inspires potential tourists to travel. Front. Psychol., 14, 1086516. [Google Scholar] [Crossref]
Yang, J. J., Zhang, D. F., Liu, X. Y., & Hua, C. (2022a). Destination endorsers raising on short-form travel videos: Self-image construction and endorsement effect measurement. J. Hosp. Tour. Manag., 52, 101–112. [Google Scholar] [Crossref]
Yang, W., Chen, Q. X., Huang, X. T., Xie, J. X., Xie, M., & Shi, J. M. (2022b). Image and text presentation forms in destination marketing: An eye-tracking analysis and a laboratory experiment. Front. Psychol., 13, 1024991. [Google Scholar] [Crossref]
Ye, C. Z., Zheng, R., & Li, L. L. (2022). The effect of visual and interactive features of tourism live streaming on tourism consumers’ willingness to participate. Asia Pac. J. Tour. Res., 27(5), 506–525. [Google Scholar] [Crossref]
Zhang, H. M., Fu, X. X., Cai, L. P. A., & Lu, L. (2014). Destination image and tourist loyalty: A meta-analysis. Tour. Manag., 40, 213–223. [Google Scholar] [Crossref]
Zhang, X. T., Chen, Z. G., & Jin, H. Y. (2021). The effect of tourists’ autobiographical memory on revisit intention: Does nostalgia promote revisiting? Asia Pac. J. Tour. Res., 26(2), 147–166. [Google Scholar] [Crossref]
Zhao, K. X., Stylianou, A. C., & Zheng, Y. M. (2018). Sources and impacts of social influence from online anonymous user reviews. Inf. Manag., 55(1), 16–30. [Google Scholar] [Crossref]
Zhou, M. J. (2023). The impact of anchor characteristics on consumers’ willingness to pay a premium for food—An empirical study. Front. Nutr., 10, 1240503. [Google Scholar] [Crossref]
Zhou, Y., Liu, L., & Sun, X. (2022). The effects of perception of video image and online word of mouth on tourists’ travel intentions: Based on the behaviors of short video platform users. Front. Psychol., 13, 984240. [Google Scholar] [Crossref]
Zhu, C., Fong, L. H. N., Gao, H. C., & Liu, C. Y. N. (2023). When TikTok meets celebrity: An investigation of how celebrity attachment influences visit intention. Curr. Issues Tour., 26(17), 2762–2776. [Google Scholar] [Crossref]
Zhu, C., Fong, L. H. N., Li, X., Buhalis, D., & Chen, H. (2024). Short video marketing in tourism: Telepresence, celebrity attachment, and travel intention. Int. J. Tourism Res., 26(1), e2599. [Google Scholar] [Crossref]
Search
Open Access
Research article

The Impact of Short Video Content on Users' Tourism Intentions

ruiqi yue,
jing li*
School of Economics and Management, Tianjin University of Technology and Education, 300222 Tianjin, China
TourismSpectrum: Diversity & Dynamics
|
Volume 1, Issue 1, 2024
|
Pages 40-53
Received: 01-11-2024,
Revised: 03-10-2024,
Accepted: 03-20-2024,
Available online: 03-30-2024
View Full Article|Download PDF

Abstract:

The rapid development of the short video industry has provided a powerful platform for content creators to promote their work while offering users interactive opportunities. In the context of tourism, the rise of short videos has introduced unprecedented opportunities for industry growth. This study, grounded in the 5W communication theory and the Stimulus-Organism-Response (SOR) model, categorizes short video characteristics into two key dimensions: content and creator attributes. Using Partial Least Squares-Structural Equation Modeling (PLS-SEM), the study examines the influence of short video dissemination on tourism intentions. The findings reveal that the informativeness and entertainment of short video content, along with the visibility and interactivity of the creators, significantly enhance users' intentions to travel. However, the professionalism of short video creators does not significantly impact the shaping of destination images or the stimulation of tourism intentions. Moreover, the perception of destination image fully mediates the relationship between the visibility and interactivity of short video creators and tourism intentions, while partially mediating the effect of content informativeness and entertainment on tourism intentions. These conclusions not only broaden the research perspective within the field of tourism-related short videos but also offer practical guidance for destination marketing strategies leveraging short videos.
Keywords: Short videos, Tourism intention, Destination image, Stimulus-organism-response model, 5W theory

1. Introduction

With the rapid advancement of mobile internet, big data, and social media technologies, social media has become a crucial channel for communication, information dissemination, and content sharing among users. These technological developments have not only altered lifestyles and consumption preferences but have also driven the swift rise of new media formats, such as short videos and live streaming. Particularly, short videos have emerged as the primary means for users to acquire information and engage in social interaction during fragmented periods. According to data from China Internet Network Information Center (CNNIC), as of December 2023, the number of short video users in China has reached 1.05 billion. The explosive growth of short videos has provided new avenues and opportunities for the transformation of the tourism industry, with the vast user base offering significant potential for the application of short videos in tourism marketing (C​N​N​I​C​,​ ​2​0​2​4). The 2023 Summer Cultural Tourism Data Report released by Tiktok revealed that over 400 million users engaged in tourism-related check-ins during the summer, with more than 500 million searches for tourism-related content, marking a year-on-year increase of 147%. Additionally, 500,000 users published tourism videos, garnering a total of 30.83 million likes. Tiktok's research found that 35% of users visited a location after watching a short video about it (H​o​s​p​i​t​a​l​i​t​y​.​t​o​d​a​y​,​ ​2​0​2​3). These statistics indicate that short videos not only enhance the visibility and popularity of tourism destinations but also effectively stimulate users' tourism intentions, thereby contributing to the development of the tourism industry. However, the process through which users watch tourism-related short videos, experience emotional responses triggered by the information, and ultimately develop an intention to travel is a complex cognitive reaction. In the current context, where an overwhelming number of tourism-related short videos are vying for attention, it is imperative for tourism destinations to understand the mechanisms through which short videos influence users' tourism intentions to gain a competitive edge in the market.

Previous studies have acknowledged the profound impact of short video marketing on the tourism industry and have analyzed tourism-related short videos from the perspectives of content, creators, and dissemination platforms. Tourism short videos can generally be categorized into two main types based on content: information-oriented and emotion-oriented (M​a​c​I​n​n​i​s​ ​&​ ​J​a​w​o​r​s​k​i​,​ ​1​9​8​9; T​e​l​l​i​s​ ​e​t​ ​a​l​.​,​ ​2​0​1​9). Research has demonstrated that the informativeness (M​u​n​a​r​o​ ​e​t​ ​a​l​.​,​ ​2​0​2​1) and entertainment (J​i​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2) of short videos promote users' information search and travel intentions towards a destination. From the perspective of creators, users' tendency to develop attachments to celebrities is a key factor driving their interest in watching short videos produced by well-known creators (Z​h​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​3; Z​h​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​4). Simultaneously, the professionalism of tourism-related short videos, defined by the creator’s expertise in the subject matter, plays a crucial role in deepening users' understanding of destinations and enhancing their tourism intentions (L​i​ ​&​ ​S​u​n​,​ ​2​0​2​4; Q​i​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​4). Additionally, interactivity is a distinctive feature that sets tourism-related short videos apart from other media; the interaction between creators and viewers is a key factor in deepening viewers' perceptions of destinations and stimulating their desire to travel (L​i​ ​&​ ​Z​h​a​n​g​,​ ​2​0​2​3; W​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2​b). In the research on dissemination platforms, most scholars have primarily focused on how perceived ease of use and perceived usefulness influence tourists' acceptance of short video content and its impact on the conversion of tourism behaviour (F​o​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​4; W​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2​a).

Although short videos, as an emerging communication tool, have demonstrated significant potential in the field of tourism marketing, existing studies largely focus on how the content of tourism-related short videos facilitates the conversion of tourism behaviour (W​u​ ​&​ ​D​i​n​g​,​ ​2​0​2​3), or combine multiple content characteristics with the technology acceptance model (W​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2​a) to explore the impact of short video content and dissemination platforms on tourism behaviour intentions. These studies have, to some extent, overlooked the complex interdependent and interactive relationship between short video content and creators. While short video platforms have matured technologically, and users face no significant barriers regarding the ease of use of these platforms, the intricate relationship between creators and content remains an area that warrants deeper exploration. In light of this, this study comprehensively considers the characteristics of short video content and creator attributes, and, based on the 5W communication theory and the SOR model, introduces destination image perception as a mediating variable. A conceptual model was constructed to examine the impact of tourism-related short videos on users' tourism intentions, aiming to provide empirical evidence supporting the role of short videos in promoting tourism development and offer theoretical guidance for the production and marketing of tourism-related short videos.

2. Literature Review

2.1 Tourism-Related Short Videos

Since the introduction of short video functionality by Viddy in April 2011, this emerging medium has rapidly gained popularity worldwide, attracting a vast number of users. Short videos, typically defined as videos under five minutes in length, allow users to record, edit, and upload content on short video platforms (C​h​i​ ​e​t​ ​a​l​.​,​ ​2​0​2​4; W​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2​a) to share their insights and life experiences. Tourism-related short videos are those created with a focus on tourism destinations, sharing relevant knowledge and elements, and conveying creators’ personal experiences and perceptions of these destinations (L​i​a​o​ ​e​t​ ​a​l​.​,​ ​2​0​2​0). The widespread adoption of tourism-related short videos has significantly increased attention to tourist sites, historical landmarks, traditional customs, and cultures, especially when these videos are widely disseminated (S​o​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​1). A key factor in the rapid rise of short videos is their ability to stimulate interest and curiosity about travel through vivid visual content and the interactive nature of the platforms (F​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​3). Short videos not only showcase the scenic beauty of tourism destinations but also leverage user-generated content to present authentic travel experiences, thereby enhancing potential tourists' intentions to visit these destinations.

2.2 Tourism Intentions

The concept of tourism intentions originally evolved from purchase intentions (L​i​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​3), primarily focusing on potential travellers' plans and desires and describing the likelihood of their visiting future destinations (A​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​1; F​u​ ​&​ ​W​a​n​g​,​ ​2​0​2​1). W​o​o​d​s​i​d​e​ ​&​ ​L​y​s​o​n​s​k​i​ ​(​1​9​8​9​) identified tourism intentions as an indicator of the likelihood that tourists would visit a particular destination. Some scholars have posited that tourism intentions are influenced by both internal factors, such as hedonic motivation (W​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​0), attitudes (L​i​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​4​b), psychological states (Z​h​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​1), and perceived risks (L​e​e​ ​e​t​ ​a​l​.​,​ ​2​0​2​2), as well as external factors, such as destination image perception (L​i​a​o​ ​e​t​ ​a​l​.​,​ ​2​0​2​3), destination reputation (W​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2​a; Z​h​o​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​2), and tourism capital (B​a​e​ ​e​t​ ​a​l​.​,​ ​2​0​2​3). Additionally, the objective conditions of the tourism destination, such as distance (K​a​h​ ​e​t​ ​a​l​.​,​ ​2​0​1​6) and environment (W​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​4), are also significant factors influencing tourism intentions. These internal and external factors intertwine to collectively shape tourists' intentions to travel.

2.3 Destination Image

Destination image is a multidimensional concept encompassing tourists' perceptions and cognitions of a destination, including their overall evaluations of its natural environment, cultural characteristics, social environment, and tourism services (H​u​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​0​2). The shaping of this image is crucial as it not only enhances tourists’ expectations but also increases their satisfaction and stimulates their intention to travel (L​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​0; S​t​y​l​o​s​ ​e​t​ ​a​l​.​,​ ​2​0​1​6; Z​h​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​1​4). To construct a positive and appealing destination image, tourism destinations strive to influence tourists' perceptions through various channels and methods, including direct experiences, word-of-mouth, and media promotion, thereby increasing tourists’ familiarity with the destination (A​s​h​f​a​q​ ​e​t​ ​a​l​.​,​ ​2​0​2​2; J​a​l​i​l​v​a​n​d​,​ ​2​0​1​7). These efforts not only help establish a unique image of the destination in the minds of potential tourists but also enable destinations to stand out in a competitive market. Therefore, destination image plays a significant role in influencing tourists' decision-making and destination choice (L​u​v​s​a​n​d​a​v​a​a​j​a​v​ ​e​t​ ​a​l​.​,​ ​2​0​2​2).

2.4 5W Communication Theory

The 5W communication theory, first proposed by American scholar Harold Lasswell, explicitly divides the communication process into five fundamental elements: who (the communicator), says what (the content), in which channel (the medium), to whom (the audience), and with what effect (the effect). These elements are interconnected and mutually influential, collectively forming the entirety of the communication activity. In the 5W model, communication effect is the core, with the other four elements serving the goal of achieving optimal communication outcomes. The essence of the 5W model lies in guiding communicators to clarify communication objectives, accurately understand audience needs, and deliver appropriate information through the most suitable channels to maximise communication effectiveness. This model provides a theoretical foundation for an in-depth exploration of how short videos influence users' tourism intentions, allowing researchers to comprehensively analyse the role and effects of short videos in tourism communication from multiple dimensions.

In the dissemination of tourism-related short videos, the communicators are typically official destination accounts, travel influencers, or ordinary tourists. By creating and sharing tourism-related short videos, these communicators convey relevant information about the destination, such as natural scenery, cultural features, and tourism facilities, to potential tourists (L​i​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​4​a). Short video platforms, serving as the medium, provide a convenient and efficient channel for the dissemination of tourism information. Potential tourists, as the audience, receive and process this information through activities such as watching, liking, commenting, and sharing, which in turn influence the formation of their tourism intentions (H​a​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​2). Through the application of the 5W model, researchers can more systematically explore the characteristics of tourism-related short videos, the selection of short video platforms, the reception attitudes of potential tourists, and the effectiveness of converting these into tourism intentions. This approach provides theoretical guidance and strategic recommendations for tourism communication practices. In this study, the operational model of Lasswell's 5W communication theory in the context of tourism-related short video dissemination is illustrated in Figure 1.

Figure 1. The operational model of the 5W communication theory in the dissemination of tourism-related short videos
2.5 SOR Model

The SOR theory was first introduced by environmental psychologists Mehrabian and Russell. It serves as a framework for analysing the cognitive or psychological responses individuals generate when exposed to external and internal stimuli, as well as how these responses predict their behaviour (R​o​b​e​r​t​ ​&​ ​J​o​h​n​,​ ​1​9​8​2). External stimuli (S) represent the external environmental factors an individual might encounter; the organism (O) reflects the internal changes in the individual’s psychological state in response to these stimuli; and the response (R) denotes the behavioural reactions that occur as a result of the interplay between external stimuli and internal perceptions (R​o​b​e​r​t​ ​&​ ​J​o​h​n​,​ ​1​9​8​2). In this study, the content characteristics of tourism-related short videos and the attributes of the creators are considered external stimuli, while the perception of the destination image is viewed as the internal cognitive state of the individual. Tourism intention is then regarded as the behavioural response resulting from the combined influence of these external and internal factors. When users watch tourism-related short videos, they are subjected to visual and content-based stimuli, which evoke their imagination and emotional connection to the destination, thereby influencing their tourism intentions (G​a​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​3; J​i​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2). The SOR framework has been widely applied in exploring tourism intentions (C​h​e​n​ ​&​ ​C​h​e​n​g​,​ ​2​0​2​3; L​i​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​4​b; M​u​h​a​m​a​d​ ​e​t​ ​a​l​.​,​ ​2​0​2​2; Y​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2​b; Y​e​ ​e​t​ ​a​l​.​,​ ​2​0​2​2), providing a robust theoretical foundation for understanding consumers' psychological and behavioural processes in tourism decision-making.

Based on the SOR theoretical framework, this study categorises the stimuli of tourism-related short videos into content and creator dimensions, constructing a conceptual model that explores the impact mechanism of tourism-related short video characteristics (informativeness, entertainment) and creator attributes (professionalism, visibility, and interactivity) on tourism intentions, as illustrated in Figure 2.

Figure 2. Conceptual model

3. Research Hypotheses

3.1 Characteristics of Tourism-Related Short Videos

Although previous studies have explored the impact of tourism-related short videos on tourists’ behavioural intentions, further research is needed to understand the attractiveness of short video content and its underlying mechanisms (C​h​i​ ​e​t​ ​a​l​.​,​ ​2​0​2​4). Informativeness refers to the richness, usefulness, completeness, accuracy, and comprehensibility of the information conveyed to users through tourism-related short video content (L​u​o​,​ ​2​0​0​2). During the process of destination exploration by potential tourists, short videos serve as one of the channels for information acquisition (D​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​2), and their informativeness can significantly influence users’ tourism decisions (L​i​ ​&​ ​H​a​y​e​s​,​ ​2​0​2​4). High-quality tourism-related short videos, characterised by originality, vividness, and ease of use, are capable of providing comprehensive and accurate information to users, thereby rapidly shaping a positive image of the tourism destination and stimulating their tourism intentions (D​u​a​n​ ​&​ ​Y​o​o​n​,​ ​2​0​2​1). The stronger the informativeness of a tourism-related short video, the more likely it is to influence viewers’ perceptions of the destination image and their tourism intentions (L​i​ ​&​ ​S​u​n​,​ ​2​0​2​4). Therefore, the following hypotheses were proposed:

H1a: The informativeness of tourism-related short videos positively influences the perception of the destination image.

H1b: The informativeness of tourism-related short videos positively influences tourism intentions.

Short videos have gained widespread popularity due to their exceptional entertainment, surpassing that of traditional media. Entertainment refers to the ability of tourism-related short videos to evoke pleasant emotions in viewers, thereby fulfilling their emotional needs for relaxation, leisure, and enjoyment. This entertainment not only attracts users to continue watching but also provides immediate emotional satisfaction and pleasurable experiences through the combination of visual and auditory elements (J​i​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2). Humorous dialogues, interesting scenarios, and captivating moments within the videos can resonate emotionally with the audience (L​i​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​3), thereby enhancing user engagement (F​e​i​ ​&​ ​K​o​o​,​ ​2​0​2​0). This, in turn, helps to shape a positive perception of the destination image and facilitates the transformation of users' curiosity into actual travel actions. The entertainment of tourism-related short videos not only directly influences users' perceptions of the destination image but may also indirectly promote tourism intentions through social interaction. Therefore, the following hypotheses were proposed:

H2a: The entertainment of tourism-related short videos positively influences the perception of the destination image.

H2b: The entertainment of tourism-related short videos positively influences tourism intentions.

3.2 Attributes of Tourism-Related Short Video Creators

Professionalism is reflected in the creator’s possession of sufficient expertise and experience, with video content offering valuable and practical travel information and recommendations that significantly influence user evaluations and perceptions (L​i​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​3). Research has indicated that users are more inclined to watch highly professional short videos (L​i​ ​&​ ​T​u​,​ ​2​0​2​4). Creators with a high level of professionalism can provide in-depth travel knowledge, greatly assisting potential tourists, fostering a positive construction of the destination image, and stimulating their tourism intentions (L​i​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​3). Therefore, the following hypotheses were proposed:

H3a: The professionalism of tourism-related short video creators positively influences the perception of the destination image.

H3b: The professionalism of tourism-related short video creators positively influences tourism intentions.

Visibility refers to the recognition and attention garnered by certain individuals or teams in the process of short video promotion, achieved through their skills, charisma, experience, and the professional knowledge and value demonstrated in the creation and sharing of short videos. These renowned creators, with their established reputations and professional images, are more effective in capturing audience attention (L​i​ ​&​ ​S​u​n​,​ ​2​0​2​4). Through the dissemination of video content, they not only shape the appeal of tourism destinations but also convey their inherent value. The psychological mechanism of social identification leads people to follow the footsteps of well-known individuals, with travel recommendations from famous creators often being regarded as a social trend or reference standard, which significantly influences tourism decision-making (Y​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2​a; Z​h​u​ ​e​t​ ​a​l​.​,​ ​2​0​2​4). Therefore, the following hypotheses were proposed:

H4a: The visibility of tourism-related short video creators positively influences the perception of the destination image.

H4b: The visibility of tourism-related short video creators positively influences tourism intentions.

In today’s digital age, tourism-related short videos stand out on new media platforms due to their unique interactivity (J​i​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​2). Interactivity refers to the exchange, communication, and feedback that occur between the communicator and the receiver during the dissemination of tourism-related short videos (T​h​o​r​s​o​n​ ​&​ ​R​o​d​g​e​r​s​,​ ​2​0​0​6). Users express their emotional responses to video content through actions such as liking, saving, and commenting. This emotional expression is not merely a one-way feedback mechanism but also a form of communication that anticipates a response. Users may pose questions or share their experiences during the viewing process, and timely responses from the short video creators can deepen the users' understanding of the tourism destination, thereby influencing their tourism intentions. Additionally, high interactivity facilitates the bidirectional flow of information, enhancing users' sense of participation and belonging, which may positively impact their perception of the destination image and their tourism intentions (Y​e​ ​e​t​ ​a​l​.​,​ ​2​0​2​2). Therefore, the following hypotheses were proposed:

H5a: The interactivity of tourism-related short video creators positively influences the perception of the destination image.

H5b: The interactivity of tourism-related short video creators positively influences tourism intentions.

3.3 Perception of Destination Image

Cognitive image refers to the preliminary perception users form of a destination after watching tourism-related short videos, encompassing various factors such as local society, culture, public transportation facilities, and the quality of services at tourist sites. Given the inability to physically experience a destination before travelling, the shaping of the destination image is crucial in stimulating tourism intentions (H​a​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​2). Creating a positive and optimistic destination image is key to attracting tourists. When travellers hold a more favourable impression of a destination, they are more likely to consider it as their first choice when planning a trip (Q​u​i​n​t​a​l​ ​&​ ​P​h​a​u​,​ ​2​0​1​5). Previous research has repeatedly validated the impact of perceived destination image on tourism intentions (A​b​u​r​u​m​m​a​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​3; H​a​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​2; L​i​a​n​g​ ​e​t​ ​a​l​.​,​ ​2​0​2​4​a). Therefore, the following hypothesis was proposed:

H6: The perception of the destination image positively influences tourism intentions.

3.4 The Mediating Role of Destination Image Perception

The destination image plays a crucial role in shaping tourists' behavioural intentions. It not only serves as the starting point for tourism decisions but is also influenced by a variety of factors (H​a​n​ ​e​t​ ​a​l​.​,​ ​2​0​2​2). The cognitive process of perceiving a destination image involves three stages: information acquisition, cognitive processing, and element variation. In today’s digital age, social media tools, especially short video platforms, have quietly become key channels through which tourists acquire information and shape their perception of destination images. These short videos, with their unique content appeal, stimulate tourists' imaginations about the destination. Simultaneously, the professionalism, visibility, and interactivity of short video creators subtly deepen the destination image in the minds of tourists, thereby influencing their tourism intentions and decisions. Therefore, the following hypothesis was proposed:

H7: The perception of the destination image positively mediates the impact of tourism-related short video characteristics and creator attributes on users’ tourism intentions.

4. Research Methodology

4.1 Measurement

The questionnaire for this study was developed based on established items from previous research. Tourism-related short videos of Harbin, a city in Northeast China, were used as a case example, with adaptations made to suit the specific needs of this study. A total of 22 items were designed, and all items were measured using a 5-point Likert scale, ranging from 1 (strongly disagree) to 5 (strongly agree). Detailed information regarding the measurement items is presented in Table 1.

Table 1. Measurement items

Variable Names

Codes

Measurement Items

References

Informativeness (I)

I1

The content of the tourism-related short videos allows me to quickly and effectively understand tourism-related information about Harbin.

G​a​o​ ​&​ ​B​a​i​ ​(​2​0​1​4​); Z​h​a​o​ ​e​t​ ​a​l​.​ ​(​2​0​1​8​)

I2

The content of the tourism-related short videos is comprehensive, accurate, and clear.

I3

The content presented in the Harbin short videos is rich and diverse.

Entertainment (B)

B1

Browsing Harbin’s short videos is enjoyable.

D​u​c​o​f​f​e​ ​(​1​9​9​6​)

B2

Browsing Harbin’s short videos makes me feel relaxed.

B3

The content presented in Harbin’s short videos is exciting.

B4

The content presented in Harbin’s short videos is enjoyable.

Professionalism (PC)

PC1

The creators of Harbin tourism-related short videos have extensive travel experience.

B​a​n​s​a​l​ ​&​ ​V​o​y​e​r​ ​(​2​0​0​0​); N​e​t​e​m​e​y​e​r​ ​&​ ​B​e​a​r​d​e​n​ ​(​1​9​9​2​); O​h​a​n​i​a​n​ ​(​1​9​9​0​)

PC2

The creators of Harbin tourism-related short videos possess extensive professional knowledge in the field.

PC3

The creators of Harbin tourism-related short videos are experts in the field.

Visibility (ZM)

ZM1

The short video creators have a high number of followers on the platform.

C​h​e​n​ ​e​t​ ​a​l​.​ ​(​2​0​2​1​); Z​h​o​u​ ​(​2​0​2​3​)

ZM2

The short video creators have high visibility on the platform.

ZM3

The short video creators hold a leading and influential position in the tourism sector.

Interactivity (HD)

HD1

The short video creators frequently reply to fan comments on the platform.

C​o​u​r​s​a​r​i​s​ ​e​t​ ​a​l​.​ ​(​2​0​1​2​); R​i​d​i​n​g​s​ ​e​t​ ​a​l​.​ ​(​2​0​0​2​)

HD2

The short video creators respond quickly to my questions on the platform.

HD3

I can actively engage with the questions initiated by the short videos on the platform.

Perception of destination image (F)

F1

I am aware of tourism-related information about Harbin, such as accommodation, shopping, entertainment, and travel guides.

B​a​l​o​g​l​u​ ​&​ ​M​c​C​l​e​a​r​y​ ​(​1​9​9​9​); E​c​h​t​n​e​r​ ​&​ ​R​i​t​c​h​i​e​ ​(​1​9​9​3​)

F2

I like the image of Harbin as a tourist destination presented in the short videos.

F3

After browsing Harbin’s tourism-related short videos, I pay more attention to Harbin.

Tourism intention (TI)

TI1

I would travel to Harbin, especially to the tourist attractions featured in the short videos.

C​h​e​n​ ​e​t​ ​a​l​.​ ​(​2​0​1​4​)

TI2

I would visit the tourist sites or check in at the attractions shown in the short videos.

TI3

I would recommend travelling to Harbin to friends and family.

4.2 Data Collection

The formal survey was conducted online. The questionnaire was created using Questionnaire Star and distributed via social platforms such as WeChat and Douban. The online questionnaire consists of two parts. In the first part, screening questions were included to determine whether respondents had watched tourism-related short videos of Harbin. Responses from users who had not viewed Harbin tourism short videos were excluded. Additionally, demographic information of respondents was collected, including gender, age, income, tourism spending, and education level. The second part comprises the main survey of this study, covering variables such as tourism-related short video characteristics, attributes of short video creators, destination image perception, and tourism intentions.

A total of 370 questionnaires were collected. After excluding questionnaires with a completion time of less than 70 seconds and those with five consecutive identical responses, 332 valid questionnaires were retained, resulting in an effective rate of 90%. The sample size exceeds ten times the number of paths to the most complex structure in the model, meeting the minimum sample size requirement for PLS-SEM (H​a​i​r​ ​J​r​ ​e​t​ ​a​l​.​,​ ​2​0​2​1). Demographic information is presented in Table 2.

Table 2. Demographic variables

Variables

Sample Characteristics

Frequency

Percentage (%)

Variables

Sample Characteristics

Frequency

Percentage (%)

Gender

Male

60

18.07

Frequently used apps (multiple choices)

Douyin

254

76.51

Female

272

81.93

Kuaishou

52

15.66

Age

Under 18

6

1.81

Tencent Video

68

20.48

18-25 years

242

72.89

Bilibili

286

86.14

26-30 years

74

22.29

WeChat Video

122

36.75

31-40 years

4

1.20

Others

56

16.87

Over 40

6

1.81

Frequency of using short video apps

3 times or fewer per week

38

11.45

Education

High school or below

10

3.01

4-6 times per week

32

9.64

Junior college

8

2.41

Once per day

50

15.06

Bachelor’s degree

190

57.23

2-3 times per day

84

25.30

Master’s degree or above

124

37.35

More than 3 times per day

128

38.55

Monthly income

3,000 RMB or less

236

71.08

Average duration of using short video apps

Less than 30 minutes

84

25.30

3,001-5,000 RMB

46

13.86

31-59 minutes

104

31.33

5,001-8,000 RMB

28

8.43

1-2 hours

68

20.48

Over 8,000 RMB

22

6.63

2-3 hours

40

12.05

More than 3 hours

36

10.84

5. Data Analysis and Conclusions

PLS-SEM was employed for data analysis in this study for several reasons. First, it is well-suited for exploratory research, which aligns with the nature of this study. Second, it is more flexible and robust when handling small sample sizes. Finally, in situations where the model is relatively complex, the covariance-based (CB)-SEM approach often struggles with convergence issues, whereas PLS-SEM typically offers better convergence performance (H​a​i​r​ ​J​r​ ​e​t​ ​a​l​.​,​ ​2​0​2​1).

5.1 Reliability and Validity

Cronbach's alpha, composite reliability (CR), and average variance extracted (AVE) were used to ensure the internal consistency and stability of the measurement model. The evaluation results are presented in Table 3. Cronbach's alpha ranges from 0.677 to 0.834, indicating an acceptable level of consistency across all measurement items. Additionally, all CR values exceed the threshold of 0.7, further confirming the robustness and reliability of the model. Moreover, AVE values range from 0.58 to 0.751, surpassing the 0.5 threshold (F​o​r​n​e​l​l​ ​&​ ​L​a​r​c​k​e​r​,​ ​1​9​8​1), demonstrating that the model possesses good convergent validity.

Table 3. Structural reliability and validity

Item

Loading

Cronbach's α

ρ

CR

AVE

Informativeness

I1

0.802

0.692

0.693

0.83

0.619

I2

0.789

I3

0.769

Entertainment

B1

0.74

0.759

0.768

0.847

0.58

B2

0.704

B3

0.793

B4

0.807

Professionalism

PC1

0.843

0.834

0.839

0.9

0.751

PC2

0.902

PC3

0.853

Visibility

ZM1

0.841

0.807

0.808

0.886

0.722

ZM2

0.865

ZM3

0.843

Interactivity

HD1

0.877

0.75

0.805

0.854

0.664

HD2

0.868

HD3

0.685

Destination image perception

F1

0.709

0.677

0.697

0.822

0.607

F2

0.834

F3

0.789

Tourism intention

TI1

0.833

0.709

0.714

0.837

0.632

TI2

0.746

TI3

0.804

Discriminant validity, a form of construct validity, ensures that different dimensions of a scale measure distinct concepts independently, thereby distinguishing them from other dimensions. This study employs the square root of AVE method to test discriminant validity. As shown in Table 4, the standardized correlation coefficients between the dimensions are generally lower than the square roots of their respective AVEs, indicating that each dimension possesses good discriminant validity.

Table 4. Discriminant validity

Informativeness

Entertainment

Professionalism

Visibility

Interactivity

Destination Image Perception

Tourism Intention

Informativeness

0.787

Entertainment

0.712

0.762

Professionalism

0.58

0.543

0.866

Visibility

0.583

0.533

0.631

0.85

Interactivity

0.449

0.45

0.553

0.506

0.815

Destination Image Perception

0.624

0.67

0.435

0.544

0.486

0.779

Tourism Intention

0.69

0.771

0.536

0.536

0.469

0.718

0.795

5.2 Structural Model

The conceptual model and research hypotheses were tested using SmartPLS 4.0. The results are presented in Table 5 and Figure 3. The findings indicate that the informativeness of tourism-related short videos contributes to users' perception of the destination image (β=0.223, p<0.01), thereby promoting tourism intentions (β=0.223, p<0.01), supporting H1a and H1b. The entertainment of tourism-related short videos significantly enhances both the perception of the destination image (β=0.399, p<0.001) and tourism intentions (β=0.521, p<0.001), supporting H2a and H2b. The visibility of tourism-related short video creators has a positive impact on shaping the destination image (β=0.194, p<0.05) but does not significantly stimulate tourism intentions (β=0.063, p>0.05), thus supporting H4a while not confirming H4b. Active interaction by tourism-related short video creators promotes users' perception of the destination image (β=0.183, p<0.05) but has no significant effect on tourism intentions (β=0.081, p>0.05), validating H5a but not H5b. This may be caused by the mediating role of destination image perception in the relationship between visibility, interactivity, and tourism intentions. Interestingly, although the professionalism of tourism-related short video creators is considered an important factor, it does not significantly influence the shaping of the destination image (β=-0.135, p>0.05) or the stimulation of tourism intentions (β=0.04, p>0.05). Furthermore, the perception of the destination image effectively stimulates users' tourism intentions (β=0.303, p<0.001).

Table 5. Hypothesis testing results

Hypotheses

β

T-Values

Remark

Informativeness -> image perception

0.223**

2.661

Supported

Informativeness -> tourism intention

0.223**

2.621

Supported

Entertainment -> image perception

0.399***

4.43

Supported

Entertainment -> tourism intention

0.521***

6.665

Supported

Professionalism -> image perception

-0.135

1.56

Not supported

Professionalism -> tourism intention

0.04

0.553

Not supported

Visibility -> image perception

0.194*

2.325

Supported

Visibility -> tourism intention

0.063

0.853

Not supported

Interactivity -> image perception

0.183*

2.495

Supported

Interactivity -> tourism intention

0.081

1.211

Not supported

Image perception -> tourism intention

0.303***

4.09

Supported

Note: * indicates p<0.05; ** indicates p<0.01; and *** indicates p<0.001
Figure 3. Structural model analysis results
Note: * indicates p<0.05; ** indicates p<0.01; and *** indicates p<0.001
5.3 Mediation effect testing

Following the method recommended by N​i​t​z​l​ ​e​t​ ​a​l​.​ ​(​2​0​1​6​), this study employs the bootstrapping technique, which involves randomly sampling with replacement from the original data set to generate 5,000 subsamples. A 95% confidence interval was then established to test the significance, thereby further elucidating the potential mechanisms by which tourism-related short videos influence users' tourism intentions (N​i​t​z​l​ ​e​t​ ​a​l​.​,​ ​2​0​1​6). As shown in Table 6, the informativeness and entertainment of tourism-related short videos, as well as the visibility and interactivity of the creators, can indirectly influence tourism intentions through the shaping of the destination image. However, the indirect effect of the professionalism of tourism-related short video creators on tourism intentions is not significant.

Table 6. Mediation effect testing results

β

T-Values

95% BC-CI

Remark

Informativeness -> image perception -> tourism intention

0.068*

2.231

[0.023, 0.122]

Supported

Entertainment -> image perception -> tourism intention

0.121**

2.918

[0.058, 0.194]

Supported

Professionalism -> image perception -> tourism intention

-0.041

1.514

[-0.082, -0.006]

Not supported

Visibility -> image perception -> tourism intention

0.059*

2.176

[0.013, 0.101]

Supported

Interactivity -> image perception -> tourism intention

0.055*

2.041

[0.015, 0.103]

Supported

Note: * indicates p<0.05; ** indicates p<0.01; *** indicates p<0.001; and BC-CI means bias-corrected confidence interval

6. Conclusion

This study, grounded in the SOR theory, explores the mechanisms through which tourism-related short videos influence tourism intentions. Using Harbin as the destination, questionnaire data from individuals who had watched tourism-related short videos of Harbin was collected in this study, confirming the significance of these videos in shaping the destination image and influencing tourism intentions.

Firstly, the informativeness and entertainment of tourism-related short videos were found to have a positive impact on tourism intentions. Specifically, short videos that are rich in content and high in information quality provide comprehensive and accurate tourism information, enabling users to quickly understand the destination, thereby promoting the formation of tourism intentions. Moreover, short videos with high entertainment attract more viewers, enhancing the viewing experience and stimulating users' desire to travel.

Secondly, the shaping of the destination image was shown to significantly stimulate tourism intentions. The vivid imagination of the destination evoked in users can inspire a strong desire to explore, as users wish to personally experience the destination and verify whether the reality aligns with their perceived image. This drive to explore not only deepens users' emotional connection to the destination but also significantly catalyses the conversion of intention into actual travel actions.

Additionally, it was found in this study that the professionalism of tourism-related short video creators does not have a significant impact on the perception of destination image or tourism intentions. Several factors may contribute to this phenomenon. First, it is challenging for average users to assess the professionalism of the creators when watching tourism-related short videos. Lacking relevant knowledge, viewers may be unable to discern whether the content is truly professional. Second, users often browse tourism-related short videos without having first-hand experience of the destination, leading them to approach the content with a sense of curiosity and trust, regardless of the creator's professional level. Furthermore, users tend to prefer videos that offer comprehensive information and entertainment over strictly professional content.

Finally, this study reveals the mediating role of destination image perception in the relationships between the informativeness and entertainment of tourism-related short videos, the visibility and interactivity of the creators, and tourism intentions. With the rise of tourism short video marketing, users are increasingly inclined to obtain travel information through short videos. In this process, videos that are richer in information and higher in entertainment are more likely to attract viewers, effectively enhancing the attractiveness of the destination, deepening tourists' perception of the destination image, and consequently promoting tourism intentions. Given the general tendency of people to follow authority figures and opinion leaders, users are more inclined to watch tourism-related short videos created by well-known authors. These famous creators are often viewed as experts or opinion leaders within their field, and their endorsements can significantly increase the content's appeal and persuasiveness, thereby deepening users' perception of the destination and stimulating their tourism intentions. Moreover, the interaction between creators and users, such as the timely response to comments, can enhance users' immersive experience and satisfaction, helping them to form a positive and appealing perception of the destination image. Therefore, to more effectively utilize short videos for marketing purposes, it is recommended that destination managers collaborate with highly recognized and interactive influencers while also focusing on enhancing the informational value and entertainment elements of short video content. This approach is likely to attract and retain users' attention, achieving the goals of tourism short video marketing.

7. Research Significance

7.1 Theoretical Significance

Firstly, a theoretical model was constructed in this study to examine the impact of tourism-related short videos on tourism intentions, categorizing the characteristics of short videos into two dimensions: video content features and creator attributes. Through empirical analysis, the mechanisms underlying these influences were elucidated, thereby deepening the understanding of how tourism intentions are formed. Secondly, by introducing the perception of destination image as a mediating variable in the conceptual model, this study innovatively links the online promotional effects of short videos with the actual influence of tourism destinations, thereby expanding the boundaries of research on tourism-related short videos. Furthermore, by exploring how tourism-related short videos stimulate potential tourists' intentions to travel, the study analyses the changes in users' perceptions of the destination after viewing these videos. This not only enriches the theoretical foundation of social media and short video marketing but also offers a new theoretical perspective for understanding the formation mechanisms of tourism intentions.

7.2 Practical Significance

The empirical analysis in this study confirms the significant role of tourism-related short video promotion in tourism development and provides theoretical guidance for the creation and marketing of short videos. In terms of content creation for tourism-related short videos, the study emphasizes the importance of enhancing the informativeness and entertainment of the content to attract and retain users' attention. Additionally, this study offers valuable recommendations for destination managers, helping them to better utilize short videos as a medium for destination marketing and promotion. The study suggests that, when selecting collaborators, destination managers should prioritize short video creators who are well-known and highly interactive, as their engaging content is more likely to enhance users' tourism intentions. Lastly, by applying knowledge from psychology and marketing theory to the field of tourism-related short videos, this study provides practical insights to support the sustainable development of the tourism industry. Through these findings, the tourism sector can more precisely tailor its marketing strategies, leveraging short videos as a medium for communication and promotion to achieve more effective market penetration and brand building.

8. Research Limitations and Future Directions

Firstly, this study primarily focuses on the role of destination image perception as a mediating variable. Future research could further expand the scope of mediating variables by exploring other potential psychological mechanisms. Factors such as immersive experience, sense of presence, social presence, motivation, destination reputation, and emotional perception of the destination could be incorporated into the model to further validate the mechanisms through which tourism-related short videos influence tourism intentions. Secondly, due to limitations in sample size and source, the generalizability and stability of this study's findings need to be enhanced. Future research could explore these issues with larger samples, including audiences from different regions, cultural backgrounds, and age groups. Additionally, demographic variables could be introduced as moderating variables to investigate whether significant differences exist in the psychological and behavioural responses of different user groups after watching tourism-related short videos, thereby uncovering deeper insights for personalized marketing strategies.

Data Availability

The data used to support the research findings are available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest.

References
Aburumman, A., Abou-Shouk, M., Zouair, N., & Abdel-Jalil, M. (2023). The effect of health-perceived risks on domestic travel intention: The moderating role of destination image. Tour. Hosp. Res., 14673584231172376. [Google Scholar] [Crossref]
An, S., Choi, Y., & Lee, C. K. (2021). Virtual travel experience and destination marketing: Effects of sense and information quality on flow and visit intention. J. Destin. Mark. Manag., 19, 100492. [Google Scholar] [Crossref]
Ashfaq, J., Hassan, H., Khan, A., & Khan, M. W. (2022). The impact of mass media, word-of-mouth on travel intention and mediating role of destination image and tourist attitude. Int. J. Acad. Res. Bus. Soc. Sci., 12(10), 3224–3239. [Google Scholar]
Bae, J. I. S., Park, H., & Kim, T. J. (2023). Factors influencing student satisfaction and intention to stay in the hospitality and tourism program. J. Teach. Travel Tour., 23(2), 130–158. [Google Scholar] [Crossref]
Baloglu, S. & McCleary, K. W. (1999). A model of destination image formation. Ann. Tour. Res., 26(4), 868–897. [Google Scholar] [Crossref]
Bansal, H. S. & Voyer, P. A. (2000). Word-of-mouth processes within a services purchase decision context. J. Serv. Res., 3(2), 166–177. [Google Scholar] [Crossref]
Chen, M. L., Xie, Z. H., Zhang, J., & Li, Y. Y. (2021). Internet celebrities’ impact on luxury fashion impulse buying. J. Theor. Appl. Electron. Commer. Res., 16(6), 2470–2489. [Google Scholar] [Crossref]
Chen, X. & Cheng, Z. F. (2023). The impact of environment-friendly short videos on consumers’ low-carbon tourism behavioral intention: A communicative ecology theory perspective. Front. Psychol., 14, 1137716. [Google Scholar] [Crossref]
Chen, Y. C., Shang, R. A., & Li, M. J. (2014). The effects of perceived relevance of travel blogs’ content on the behavioral intention to visit a tourist destination. Comput. Hum. Behav., 30, 787–799. [Google Scholar] [Crossref]
Chi, C. G., Deng, D. S., Chi, O. H., & Lin, H. X. (2024). Framing food tourism videos: What drives viewers’ attitudes and behaviors? J. Hosp. Tour. Res., 48(3), 533–548. [Google Scholar] [Crossref]
CNNIC. (2024). The 53th Statistical Report on China’s Internet Development. China Internet Network Information Center. https://www.cnnic.net.cn/NMediaFile/2024/0325/MAIN1711355296414FIQ9XKZV63.pdf [Google Scholar]
Coursaris, C. K., Hassanein, K., Head, M. M., & Bontis, N. (2012). The impact of distractions on the usability and intention to use mobile devices for wireless data services. Comput. Hum. Behav., 28(4), 1439–1449. [Google Scholar] [Crossref]
Du, X., Liechty, T., Santos, C. A., & Park, J. (2022). ‘I want to record and share my wonderful journey’: Chinese Millennials’ production and sharing of short-form travel videos on TikTok or Douyin. Curr. Issues Tour., 25(21), 3412–3424. [Google Scholar] [Crossref]
Duan, X. & Yoon, J. (2021). The influence of TikTok’s tourism information quality on destination familiarity, image, and future visit intention: Focused on Yunnan Province in China. Int. J. Tour. Hosp. Res., 35(12), 5–20. [Google Scholar]
Ducoffe, R. H. (1996). Advertising value and advertising on the web. J. Advert. Res., 36(5), 21–35. [Google Scholar]
Echtner, C. M. & Ritchie, J. B. (1993). The measurement of destination image: An empirical assessment. J. Travel Res., 31(4), 3–13. [Google Scholar] [Crossref]
Fang, X., Xie, C. W., Yu, J., Huang, S. S., & Zhang, J. C. (2023). How do short-form travel videos trigger travel inspiration? Identifying and validating the driving factors. Tour. Manag. Perspect., 47, 101128. [Google Scholar] [Crossref]
Fei, C. & Koo, J. J. (2020). The impact of communication characteristics of short video content on users’ revisit intentions-a case study of TikTok (Douyin). J. Brand Design Assoc. Korea, 18, 51–66. [Google Scholar]
Fong, S. F., Ong, Y. X., Ating, R., & Besa, M. S. (2024). Exploring the intermediary effects of TikTok on Generation Z’s visit intention. J. Vacat. Mark. [Google Scholar] [Crossref]
Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res., 18(1), 39–50. [Google Scholar] [Crossref]
Fu, Y. K. & Wang, Y. J. (2021). Experiential value influences authentic happiness and behavioural intention: Lessons from Taiwan’s tourism accommodation sector. Tour. Rev., 76(1), 289–303. [Google Scholar] [Crossref]
Gan, J., Shi, S., Filieri, R., & Leung, W. K. (2023). Short video marketing and travel intentions: The interplay between visual perspective, visual content, and narration appeal. Tour. Manag., 99, 104795. [Google Scholar] [Crossref]
Gao, L. L. & Bai, X. S. (2014). An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theory. Asia Pac. J. Mark. Logist., 26(2), 168–189. [Google Scholar] [Crossref]
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Springer Nature. [Google Scholar]
Han, J. Y., Zhang, G. G., Xu, S. G., Law, R., & Zhang, M. (2022). Seeing destinations through short-form videos: Implications for leveraging audience involvement to increase travel intention. Front. Psychol., 13, 1024286. [Google Scholar] [Crossref]
Hospitality.today. (2023). TikTok’s undeniable impact on travel and tourism. https://www.hospitality.today/article/tiktoks-undeniable-impact-on-travel-and-tourism [Google Scholar]
Huang, Z., Li, X., & Gao, Y. (2002). Measurement and analysis on tourism destination image: Taking Nanjing as a study case. Nankai Bus. Rev., 5(3), 69–73. [Google Scholar]
Jalilvand, M. R. (2017). Word-of-mouth vs. mass media: Their contributions to destination image formation. Anatolia, 28(2), 151–162. [Google Scholar] [Crossref]
Jiang, J., Hong, Y. X., Li, W. W., & Li, D. (2022). A study on the impact of official promotion short videos on tourists’ destination decision-making in the post-epidemic era. Front. Psychol., 13, 1015869. [Google Scholar] [Crossref]
Kah, J. A., Lee, C. K., & Lee, S. H. (2016). Spatial-temporal distances in travel intention-behavior. Ann. Tour. Res., 57, 160–175. [Google Scholar] [Crossref]
Lee, W. G., Park, S., & Jeong, C. (2022). Repositioning risk perception as a necessary condition of travel decision: The case of North Korea tourism. J. Hosp. Tour. Manag., 52, 252–263. [Google Scholar] [Crossref]
Li, H. & Tu, X. X. (2024). Who generates your video ads? The matching effect of short-form video sources and destination types on visit intention. Asia Pac. J. Mark. Logist., 36(3), 660–677. [Google Scholar] [Crossref]
Li, J. J., Xu, L. Z., Tang, L., Wang, S. Y., & Li, L. (2018). Big data in tourism research: A literature review. Tour. Manag., 68, 301–323. [Google Scholar] [Crossref]
Li, P. & Sun, Y. (2024). Impact of internet celebrities’ short videos on audiences’ visit intentions: Is beauty power? Humanit. Soc. Sci. Commun., 11, 381. [Google Scholar] [Crossref]
Li, Y. L. & Hayes, S. (2024). Comparing the influences of tourism live streaming and short-form video for young Chinese: A qualitative investigation. J. China Tour. Res., 20(1), 167–191. [Google Scholar] [Crossref]
Li, Z. G. & Zhang, J. (2023). How to improve destination brand identification and loyalty using short-form videos? The role of emotional experience and self-congruity. J. Destin. Mark. Manag., 30, 100825. [Google Scholar] [Crossref]
Liang, L. F., Xia, J. P., Wu, G., & Li, T. (2024a). Do tea-drinking habits affect individuals’ intention to visit tea tourism destinations? Verification from the Chinese cultural background. J. China Tour. Res., 1–24. [Google Scholar] [Crossref]
Liang, X. D., Huo, Y. D., & Luo, P. (2024b). What drives impulsive travel intention in tourism live streaming? A chain mediation model based on SOR framework. J. Travel Tour. Mark., 41(2), 169–185. [Google Scholar] [Crossref]
Liao, S. S., Lin, C. Y., Chuang, Y. J., & Xie, X. Z. (2020). The role of social capital for short-video platform users’ travel intentions: SEM and Fsqca findings. Sustainability, 12(9), 3871. [Google Scholar] [Crossref]
Liao, S. S., Lin, C. Y., & Xie, X. Z. (2023). Effects of short-form video application users’ guanxi on intention to visit rural tourism destinations: The moderating role of tourism fatigue. J. Vacat. Mark. [Google Scholar] [Crossref]
Lin, H. Z., Wen, H. Y., & Ma, Z. K. (2024a). A study on the construction of destination image for China’s county-level integrated media centers: A case study of four counties in Fuzhou. Front. Commun., 9, 1346212. [Google Scholar] [Crossref]
Lin, W. H., Lin, Q. H., Tang, D. C., & Yan, Y. Z. (2024b). A study on the factors influencing the intention to revisit forest tourism based on PMT-TPB? Curr. Psychol., 43, 11841–11853. [Google Scholar] [Crossref]
Liu, J., Wang, Y. J., & Chang, L. Y. (2023). How do short videos influence users’ tourism intention? A study of key factors. Front. Psychol., 13, 1036570. [Google Scholar] [Crossref]
Lu, C. S., Weng, H. K., Chen, S. Y., Chiu, C. W., Ma, H. Y., Mak, K. W., & Yeung, T. C. (2020). How port aesthetics affect destination image, tourist satisfaction and tourist loyalty? Marit. Bus. Rev., 5(2), 211–228. [Google Scholar] [Crossref]
Luo, X. M. (2002). Uses and gratifications theory and e-consumer behaviors: A structural equation modeling study. J. Interact. Advert., 2(2), 34–41. [Google Scholar] [Crossref]
Luvsandavaajav, O., Narantuya, G., Dalaibaatar, E., & Raffay, Z. (2022). A longitudinal study of destination image, tourist satisfaction, and revisit intention. J. Tour. Serv., 13(24), 128–149. [Google Scholar] [Crossref]
MacInnis, D. J. & Jaworski, B. J. (1989). Information processing from advertisements: Toward an integrative framework. J. Mark., 53(4), 1–23. [Google Scholar] [Crossref]
Muhamad, N., Islam, S., & Leong, V. S. (2022). Social comparison orientation and religious commitment influence on outbound travel intentions. Asia Pac. J. Tour. Res., 27(11), 1144–1166. [Google Scholar] [Crossref]
Munaro, A. C., Hübner Barcelos, R., Francisco Maffezzolli, E. C., Santos Rodrigues, J. P., & Cabrera Paraiso, E. (2021). To engage or not engage? The features of video content on YouTube affecting digital consumer engagement. J. Consum. Behav., 20(5), 1336–1352. [Google Scholar] [Crossref]
Netemeyer, R. G. & Bearden, W. O. (1992). A comparative analysis of two models of behavioral intention. J. Acad. Mark. Sci., 20, 49–59. [Google Scholar] [Crossref]
Nitzl, C., Roldan, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Ind. Manag. Data Syst., 116(9), 1849–1864. [Google Scholar] [Crossref]
Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness. J. Advert., 19(3), 39–52. [Google Scholar] [Crossref]
Qiu, L. W., Li, X. P., & Choi, S. H. (2024). Exploring the influence of short video platforms on tourist attitudes and travel intention: A social-technical perspective. J. Destin. Mark. Manag., 31, 100826. [Google Scholar] [Crossref]
Quintal, V. & Phau, I. (2015). The role of movie images and its impact on destination choice. Tour. Rev., 70(2), 97–115. [Google Scholar] [Crossref]
Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. J. Strateg. Inf. Syst., 11(3–4), 271–295. [Google Scholar] [Crossref]
Robert, D. & John, R. (1982). Store atmosphere: An environmental psychology approach. J. Retail., 58(1), 34–57. [Google Scholar]
Song, S. J., Zhao, Y. X. C., Yao, X. L., Ba, Z. C., & Zhu, Q. H. (2021). Short video apps as a health information source: An investigation of affordances, user experience and users’ intention to continue the use of TikTok. Internet Res., 31(6), 2120–2142. [Google Scholar] [Crossref]
Stylos, N., Vassiliadis, C. A., Bellou, V., & Andronikidis, A. (2016). Destination images, holistic images and personal normative beliefs: Predictors of intention to revisit a destination. Tour. Manag., 53, 40–60. [Google Scholar] [Crossref]
Tellis, G. J., MacInnis, D. J., Tirunillai, S., & Zhang, Y. (2019). What drives virality (sharing) of online digital content? The critical role of information, emotion, and brand prominence. J. Mark., 83(4), 1–20. [Google Scholar] [Crossref]
Thorson, K. S. & Rodgers, S. (2006). Relationships between blogs as eWOM and interactivity, perceived interactivity, and parasocial interaction. J. Interact. Advert., 6(2), 5–44. [Google Scholar] [Crossref]
Wang, C., Cui, W. J., Zhang, Y. T., & Shen, H. W. (2022a). Exploring short video apps users’ travel behavior intention: Empirical analysis based on SVA-TAM model. Front. Psychol., 13, 912177. [Google Scholar] [Crossref]
Wang, X. C., Oh, Y., Park, S. Y., Hong, S. M., & Lai, P. L. (2024). Factors influencing travelers’ intention by environmental changes of destination: Cross‐country evidence from Far‐East Asia. Int. J. Tour. Res., 26(4), e2705. [Google Scholar] [Crossref]
Wang, X., Yu, Y., Zhu, Z., & Zheng, J. (2022b). Visiting intentions toward theme parks: do short video content and tourists’ perceived playfulness on TikTok matter? Sustainability, 14(19), 12206. [Google Scholar] [Crossref]
Wang, Y. Y., Lin, Y. J., & Lin, B. S. (2020). The factors that affect usage intentions and travel intentions of travel-related WeChat Official Accounts. Sustainability, 12(15), 6108. [Google Scholar] [Crossref]
Woodside, A. G. & Lysonski, S. (1989). A general model of traveler destination choice. J. Travel Res., 27(4), 8–14. [Google Scholar] [Crossref]
Wu, G. H. & Ding, X. Y. (2023). Which type of tourism short video content inspires potential tourists to travel. Front. Psychol., 14, 1086516. [Google Scholar] [Crossref]
Yang, J. J., Zhang, D. F., Liu, X. Y., & Hua, C. (2022a). Destination endorsers raising on short-form travel videos: Self-image construction and endorsement effect measurement. J. Hosp. Tour. Manag., 52, 101–112. [Google Scholar] [Crossref]
Yang, W., Chen, Q. X., Huang, X. T., Xie, J. X., Xie, M., & Shi, J. M. (2022b). Image and text presentation forms in destination marketing: An eye-tracking analysis and a laboratory experiment. Front. Psychol., 13, 1024991. [Google Scholar] [Crossref]
Ye, C. Z., Zheng, R., & Li, L. L. (2022). The effect of visual and interactive features of tourism live streaming on tourism consumers’ willingness to participate. Asia Pac. J. Tour. Res., 27(5), 506–525. [Google Scholar] [Crossref]
Zhang, H. M., Fu, X. X., Cai, L. P. A., & Lu, L. (2014). Destination image and tourist loyalty: A meta-analysis. Tour. Manag., 40, 213–223. [Google Scholar] [Crossref]
Zhang, X. T., Chen, Z. G., & Jin, H. Y. (2021). The effect of tourists’ autobiographical memory on revisit intention: Does nostalgia promote revisiting? Asia Pac. J. Tour. Res., 26(2), 147–166. [Google Scholar] [Crossref]
Zhao, K. X., Stylianou, A. C., & Zheng, Y. M. (2018). Sources and impacts of social influence from online anonymous user reviews. Inf. Manag., 55(1), 16–30. [Google Scholar] [Crossref]
Zhou, M. J. (2023). The impact of anchor characteristics on consumers’ willingness to pay a premium for food—An empirical study. Front. Nutr., 10, 1240503. [Google Scholar] [Crossref]
Zhou, Y., Liu, L., & Sun, X. (2022). The effects of perception of video image and online word of mouth on tourists’ travel intentions: Based on the behaviors of short video platform users. Front. Psychol., 13, 984240. [Google Scholar] [Crossref]
Zhu, C., Fong, L. H. N., Gao, H. C., & Liu, C. Y. N. (2023). When TikTok meets celebrity: An investigation of how celebrity attachment influences visit intention. Curr. Issues Tour., 26(17), 2762–2776. [Google Scholar] [Crossref]
Zhu, C., Fong, L. H. N., Li, X., Buhalis, D., & Chen, H. (2024). Short video marketing in tourism: Telepresence, celebrity attachment, and travel intention. Int. J. Tourism Res., 26(1), e2599. [Google Scholar] [Crossref]

Cite this:
APA Style
IEEE Style
BibTex Style
MLA Style
Chicago Style
GB-T-7714-2015
Yue, R. Q. & Li, J. (2024). The Impact of Short Video Content on Users' Tourism Intentions. Tour. Spectr. Div. Dyn., 1(1), 40-53. https://doi.org/10.56578/tsdd010104
R. Q. Yue and J. Li, "The Impact of Short Video Content on Users' Tourism Intentions," Tour. Spectr. Div. Dyn., vol. 1, no. 1, pp. 40-53, 2024. https://doi.org/10.56578/tsdd010104
@research-article{Yue2024TheIO,
title={The Impact of Short Video Content on Users' Tourism Intentions},
author={Ruiqi Yue and Jing Li},
journal={TourismSpectrum: Diversity & Dynamics},
year={2024},
page={40-53},
doi={https://doi.org/10.56578/tsdd010104}
}
Ruiqi Yue, et al. "The Impact of Short Video Content on Users' Tourism Intentions." TourismSpectrum: Diversity & Dynamics, v 1, pp 40-53. doi: https://doi.org/10.56578/tsdd010104
Ruiqi Yue and Jing Li. "The Impact of Short Video Content on Users' Tourism Intentions." TourismSpectrum: Diversity & Dynamics, 1, (2024): 40-53. doi: https://doi.org/10.56578/tsdd010104
YUE R Q, LI J. The Impact of Short Video Content on Users' Tourism Intentions[J]. TourismSpectrum: Diversity & Dynamics, 2024, 1(1): 40-53. https://doi.org/10.56578/tsdd010104
cc
©2024 by the author(s). Published by Acadlore Publishing Services Limited, Hong Kong. This article is available for free download and can be reused and cited, provided that the original published version is credited, under the CC BY 4.0 license.