This research analysed tourist experiences on beaches and suggested appropriate brand positioning for Thai beach destinations. A new destination positioning method was proposed involving a topic modelling algorithm, hierarchical clustering and textual analysis using data from 75,500 TripAdvisor reviews. Eleven tourist experiences and five clusters of distinctive beach destinations were identified. Findings suggested that the Tourism Authority of Thailand should replace their current “all-in-one” message with strategic and relevant communications to strengthen brand positioning by reinforcing the positive experiences and improving the negative aspects of beach tourism. Experiential brand positioning can assist DMOs to differentiate destinations as multi-faceted and dynamic.
BarnesSJMattssonJSørensenF (2014) Destination brand experience and visitor behavior: Testing a scale in the tourism context. Annals of Tourism Research48: 121–139.
BrakusJJSchmittBHZarantonelloL (2009) Brand experience: What is it? How is it measured? Does it affect loyalty?Journal of Marketing73(3): 52–68.
4.
BujosaARieraAPonsPJ (2015) Sun-and-beach tourism and the importance of intra-destination movements in mature destinations. Tourism Geographies17(5): 780–794.
5.
CaoJXiaTLiJ, et al. (2009) A density-based method for adaptive LDA model selection. Neurocomputing72(7–9): 1775–1781.
6.
Carvache-FrancoWCarvache-FrancoMCarvache-FrancoO, et al. (2020) Motivation and segmentation of the demand for coastal and marine destinations. Tourism Management Perspectives34: 100661.
7.
ChenC-LTengN (2016) Management priorities and carrying capacity at a high-use beach from tourists’ perspectives: A way towards sustainable beach tourism. Marine Policy74: 213–219.
8.
ClaveriaOPoluzziA (2017) Positioning and clustering of the world’s top tourist destinations by means of dimensionality reduction techniques for categorical data. Journal of Destination Marketing & Management6(1): 22–32.
9.
DeveaudRSanJuanEBellotP (2014) Accurate and effective latent concept modeling for ad hoc information retrieval. Document Numérique17(1): 61–84.
10.
EdensorTMillingtonSSteadmanC, et al. (2021) Towards a comprehensive understanding of football stadium tourism. Journal of Sport & Tourism25(3): 217–235.
11.
EvrenSKozakN (2018) Competitive positioning of winter tourism destinations: A comparative analysis of demand and supply sides perspectives–cases from Turkey. Journal of Destination Marketing & Management9: 247–257.
12.
FlorekMInschA (2020) Learning to co-create the city brand experience. Journal of International Studies13(2): 163–177.
13.
FuchsCDiamantopoulosA (2010) Evaluating the effectiveness of brand-positioning strategies from a consumer perspective. European Journal of Marketing44(11/12): 1763–1786.
14.
GopalanRNarayanB (2010) Improving customer experience in tourism: A framework for stakeholder collaboration. Socio-Economic Planning Sciences44(2): 100–112.
15.
GuoYBarnesSJJiaQ (2017) Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation. Tourism Management59: 467–483.
16.
GwinCFGwinCR (2003) Product attributes model: A tool for evaluating brand positioning. Journal of Marketing Theory and Practice11(2): 30–42.
17.
HannaSRowleyJ (2013) A practitioner-led strategic place brand-management model. Journal of Marketing Management29(15-16): 1782–1815.
18.
HuangC-C (2017) The impacts of brand experiences on brand loyalty: Mediators of brand love and trustManagement Decision.55(5): 915–934.
19.
InschA (2014) Positioning cities: innovative and sustainable strategies for city development and transformation. Place Branding and Public Diplomacy10(4): 249–252.
20.
KeitpiriyaSBusamanSPhetcaotK, et al. (2020) Secondary city tourism promotion with digital media technology. Journal of MCU Nakhondhat7(12): 436–450.
21.
KirilenkoAPStepchenkovaSOHernandezJM (2019) Comparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviews. Tourism Management72: 400–410.
22.
LarsenHG (2018) The 'mental topography' of the Shanghai city brand: A netnographic approach to formulating city brand positioning strategies. Journal of Destination Marketing & Management8: 90–101.
23.
LawLBunnellTOngC-E (2007) The beach, the gaze and film tourism. Tourist Studies7(2): 141–164.
24.
LiaoYKWuWYTruongGNT, et al. (2021) A model of destination consumption, attitude, religious involvement, satisfaction, and revisit intention. Journal of Vacation Marketing27(3): 330–345.
25.
Manager Online (2020) State Audit Office Found That Secondary Provinces Investment Concentrated in Only Some Provinces. Available at: https://mgronline.com/politics/detail/9630000067071 (accessed 10 July 2021).
26.
MelónMPAFandos-HerreraCSarasaRG (2021) Analysis of antecedents and consequences of memorable tourist experiences (MTEs): A Spanish case study. Journal of Vacation Marketing27(3): 346–360.
27.
PhillipsMRHouseC (2009) An evaluation of priorities for beach tourism: Case studies from south Wales, UK. Tourism Management30(2): 176–183.
28.
PikeS (2012) Destination positioning opportunities using personal values: Elicited through the repertory test with laddering analysis. Tourism Management33(1): 100–107.
29.
PikeSGentleJKellyL, et al. (2018) Tracking brand positioning for an emerging destination: 2003 to 2015. Tourism and Hospitality Research18(3): 286–296.
30.
PiriyapadaSWangE (2015) Modeling willingness to pay for coastal tourism resource protection in Ko Chang Marine National Park, Thailand. Asia Pacific Journal of Tourism Research20(5): 515–540.
31.
PyoS (2015) Integrating tourist market segmentation, targeting, and positioning using association rules. Information Technology & Tourism15(3): 253–281.
32.
Rodríguez-MolinaMFrías-JamilenaDDel Barrio-GarcíaS, et al. (2019) Destination brand equity-formation: Positioning by tourism type and message consistency. Journal of Destination Marketing & Management12: 114–124.
33.
SchuckertMLiuXLawR (2015) Hospitality and tourism online reviews: Recent trends and future directions. Journal of Travel & Tourism Marketing32(5): 608–621.
34.
SongYWangRFernandezJ, et al. (2021) Investigating sense of place of the Las Vegas Strip using online reviews and machine learning approaches. Landscape and Urban Planning205: 103956.
35.
TaecharungrojVMathayomchanB (2019) Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand. Tourism Management75: 550–568.
36.
TaecharungrojVTansitpongP (2017) Attractions, attitude, and activities: Tourism attributes that drive destination loyalty for international tourists visiting Thailand. International Journal of Tourism Policy7(2): 129–150.
37.
TaecharungrojVWarnabyGParkerC (2020) Responding to the voice of the markets: An analysis of Tripadvisor reviews of UK retail markets. Journal of Place Management and Development14(2): 180–200.
TirunillaiSTellisGJ (2014) Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent dirichlet allocation. Journal of Marketing Research51(4): 463–479.
40.
ToralSMartínez-TorresMGonzalez-RodriguezM (2018) Identification of the unique attributes of tourist destinations from online reviews. Journal of Travel Research57(7): 908–919.
41.
WangCLiuJZhangT (2021) ‘What if my experience was not what I expected?’: Examining expectation-experience (dis) confirmation effects in China’s rural destinations. Journal of Vacation Marketing27(4): 365–384.
42.
WongCUIQiS (2017) Tracking the evolution of a destination's image by text-mining online reviews - the case of macau. Tourism Management Perspectives23: 19–29.
43.
YangngamDWannaW (2020) The policy implementation of amazing Thailand go local: A case study of local tourism in Chanthaburi province. RBRU Journal of Humanities and Social Sciences1(1): 14–29.
44.
YaqoobIHashemIATGaniA, et al. (2016) Big data: From beginning to future. International Journal of Information Management36(6): 1231–1247.
45.
YeQLiHWangZ, et al. (2014) The influence of hotel price on perceived service quality and value in e-tourism: An empirical investigation based on online traveler reviews. Journal of Hospitality & Tourism Research38(1): 23–39.
