Tourism destination image based on tourism user generated content on internet

被引:80
作者
Wang, Jun [1 ]
Li, Yunpeng [2 ]
Wu, Bihu [1 ]
Wang, Yao [3 ]
机构
[1] Peking Univ, Dept Urban & Environm Sci, Beijing, Peoples R China
[2] Capital Univ Econ & Business, Dept Tourism Res, Beijing, Peoples R China
[3] China Elect Technol Grp Corp, Natl Lab Satellite Nav Syst & Equipment Technol, Res Inst 54, Shijiazhuang, Hebei, Peoples R China
关键词
Tourism destination image; On-site image; After-trip image; Tourism UGC; LDA topic model; Social sensing; CONSUMER;
D O I
10.1108/TR-04-2019-0132
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose - The purpose of this paper is to study tourists' spatial and psychological involvement reflected through tourism destination image (TDI), TDI is divided into on-site and after-trip groups and the two groups are compared in the frame of three-dimensional continuums. Design/methodology/approach - By conducting latent Dirichlet allocation (LDA) modeling to tourism user-generated content. structural topic models are established. The topics separated out from unstructured raw texts are structural themes and representations of TDI. Social network analysis (SNA) reveals the quantitative and structural differences of three-dimensional continuums of the two TDI groups. Findings - The findings reveal that from the stage of on-site to after-trip, tourist perception of TDI shifts from psychologically to functionally-oriented, from common to unique, and from holistic to more attribute focused. Also, it is suggested that from a postmodemism perspective, TDI is never unique, fixed or universal. but has different image perceptions and feedbacks for different tourists. Research limitations/implications - With the assistance of social sensing, a panoramic view of TDI could be established. Targeted and precision destination marketing and image promotion could be applied out to each individual tourist. Originality/value - Combining with the perspectives of the tourist-destination space system and the tourism involvement theory, this research proposes a TDI transformation model and an explanation of the internal mechanism. The originality of research also lies in the methodological innovation of social sensing data and the LDA topic model.
引用
收藏
页码:125 / 137
页数:13
相关论文
共 60 条
  • [1] Aggarwal CharuC., 2013, MANAGING MINING SENS, P237, DOI [10.1007/978-1-4614-6309-2_9, DOI 10.1007/978-1-4614-6309-2_9]
  • [2] [Anonymous], 1971, THESIS
  • [3] A model of destination image formation
    Baloglu, S
    McCleary, KW
    [J]. ANNALS OF TOURISM RESEARCH, 1999, 26 (04) : 868 - 897
  • [4] Baloglu S., 1997, Journal of Travel Research, V35, P11
  • [5] Baloglu S., 2008, J TRAVEL TOUR MARK, V8, P81
  • [6] Latent Dirichlet allocation
    Blei, DM
    Ng, AY
    Jordan, MI
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) : 993 - 1022
  • [7] Marketing the competitive destination of the future
    Buhalis, D
    [J]. TOURISM MANAGEMENT, 2000, 21 (01) : 97 - 116
  • [8] Destination networks and induced tourism image
    Camprubi, Raquel
    Guia, Jaume
    Comas, Jordi
    [J]. TOURISM REVIEW, 2008, 63 (02) : 47 - 58
  • [9] How destination image and evaluative factors affect behavioral intentions?
    Chen, Ching-Fu
    Tsai, DungChun
    [J]. TOURISM MANAGEMENT, 2007, 28 (04) : 1115 - 1122
  • [10] Chon K. S., 1990, Revue de Tourisme, V45, P2, DOI 10.1108/eb058040