Exploring consumer engagement and satisfaction in health and wellness tourism through text-mining

被引:0
|
作者
Balcioglu, Yavuz Selim [1 ]
机构
[1] Gebze Tech Univ, Dept Management Informat Syst, Darica, Turkiye
关键词
Health and wellness tourism; Consumer satisfaction; Text-mining; Sentiment analysis; Tourist engagement; CUSTOMER SATISFACTION; POSITIVE PSYCHOLOGY; MARKETING MIX; STRATEGIES; ONLINE;
D O I
10.1108/K-12-2023-2721
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
PurposeThis study aims to deepen the understanding of consumer engagement and satisfaction within the health and wellness tourism sector, a rapidly growing niche in the global tourism industry. It focuses on identifying key elements that influence consumer perceptions and experiences in this domain.Design/methodology/approachEmploying a quantitative approach, this research utilizes Dynamic Correlated Topic Models (DCTM) and sentiment analysis techniques to analyze user-generated content from TripAdvisor. The methodology involves parsing through extensive online reviews to extract thematic patterns and emotional sentiments related to various wellness tourism experiences.FindingsThe findings reveal that wellness and relaxation, spa and therapy services, and cultural immersion are significant factors influencing consumer satisfaction in health and wellness tourism. These elements contribute to a more profound and emotionally satisfying tourist experience, highlighting the shift from traditional tourism to more holistic, wellness-focused travel.Research limitations/implicationsThe study is limited by its focus on user-generated content from a single platform, which may not fully represent the diverse range of consumer experiences in health and wellness tourism. Future research could expand to include other platforms and cross-reference with qualitative data.Practical implicationsThe study offers valuable implications for destination managers and marketers in the health and wellness tourism industry, suggesting that enhancing and promoting wellness-centric experiences can significantly improve consumer satisfaction and engagement.Social implicationsThe research underscores the growing importance of health and wellness in societal values, reflecting a shift in consumer preferences towards travel experiences that offer mental, physical, and spiritual benefits. This has broader implications for how destinations can cater to the evolving demands of socially conscious travelers.Originality/valueThis research contributes original insights into the evolving field of health and wellness tourism by integrating advanced text mining techniques to analyze consumer feedback, offering a novel perspective on what drives engagement and satisfaction in this sector.
引用
收藏
页数:25
相关论文
共 50 条
  • [41] Exploring the usability and user experience of social media apps through a text mining approach
    Baj-Rogowska A.
    Sikorski M.
    Engineering Management in Production and Services, 2023, 15 (01) : 86 - 105
  • [42] Ascertaining injury risk issues through big data analysis: text-mining based analysis of national emergency response data
    Won, Jin-Young
    Lee, Yu-Rim
    Cho, Myeong-Heum
    Kim, Yun-Tae
    Lee, Ji-Hyang
    FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [43] Mining Health-Related Issues in Consumer Product Reviews by Using Scalable Text Analytics
    Torii, Manabu
    Tilak, Sameer S.
    Doan, Son
    Zisook, Daniel S.
    Fan, Jung-wei
    BIOMEDICAL INFORMATICS INSIGHTS, 2016, 8 : 1 - 11
  • [44] Understanding User Experience and Satisfaction with Urban Infrastructure through Text Mining of Civil Complaint Data
    Chang, Taeyeon
    Chi, Seokho
    Im, Seok-Been
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2022, 148 (08)
  • [45] The Forecasting Sales Volume and Satisfaction of Organic Products through Text Mining on Web Customer Reviews
    Lyu, Fang
    Choi, Jaewon
    SUSTAINABILITY, 2020, 12 (11)
  • [46] Analysing students' engagement in higher education through transmedia and learning management systems: a text mining approach
    de Aires Angelino, Fernando Jose
    Correia Loureiro, Sandra Maria
    Bilro, Ricardo Godinho
    INTERNATIONAL JOURNAL OF INNOVATION AND LEARNING, 2021, 30 (04) : 484 - 502
  • [47] How do tourists perceive churches as tourism destinations? A text mining approach through online reviews
    Sun, Shaolong
    Wang, Lintao
    Zhao, Erlong
    Wang, Shouyang
    INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2024, 26 (04)
  • [49] Differences of Consumer Reviews and Consumer Satisfaction on Cross-Border E-Commerce Platforms: A Text Mining Analysis Based on Cross-Cultural Perspective
    Zhou, Ruoxin
    Zhu, Yuting
    Zheng, Runqi
    Zhou, Jilei
    JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE, 2025,
  • [50] Exploring China's 5A global geoparks through online tourism reviews: A mining model based on machine learning approach
    Luo, Yuyan
    He, Jinjie
    Mou, Yu
    Wang, Jun
    Liu, Tao
    TOURISM MANAGEMENT PERSPECTIVES, 2021, 37