An Investigation of the Key Attributes of Korean Wellness Tourism Customers Based on Online Reviews

被引:2
|
作者
Riswanto, Aura Lydia [1 ]
Kim, Hak-Seon [2 ,3 ]
机构
[1] Kyungsung Univ, Dept Global Business, Busan 48434, South Korea
[2] Kyungsung Univ, Sch Hospitality & Tourism Management, Busan 48434, South Korea
[3] Kyungsung Univ, Wellness & Tourism Big Data Res Inst, Busan 48434, South Korea
基金
新加坡国家研究基金会;
关键词
wellness tourism; online review; semantic network analysis; EXPERIENCE; SATISFACTION; IMPACT; MEDIA;
D O I
10.3390/su15086702
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With its fast-growing trend, wellness tourism is transforming the client base and service and product offerings, and it is attracting new suppliers. The purpose of understanding the customer experience as portrayed in online reviews is to sustainably maintain customer loyalty and satisfaction. The objective of this research is to identify the critical attributes and their structural relationships to Korean wellness tourism. The study analyzed 24,060 Google-based customer reviews on 11 wellness tourism destinations in South Korea. Following the calculation of word frequencies in a matrix, UCINET 6.0 was utilized to analyze the centrality of the network and perform a CONCOR analysis. Based on the findings of the CONCOR analysis, the review data were sorted into four distinct categories. Following the quantitative analysis led to the identification of six variables that were grouped together through exploratory factor analysis.: wellness, tangible, value, F&B, purpose, and service. Whereas value, F&B, and service negatively affected the satisfaction of guests, the study also revealed that wellness, tangible, and purpose all had positive impacts and contributed to increased trust among wellness tourism customers. In terms of managerial implication, the results will enable wellness tourism destination managers to focus more on improving the factors of value, food, and service.
引用
收藏
页数:18
相关论文
共 40 条
  • [1] Feature Based Summarization of Customers' Reviews of Online Products
    Bafna, Kushal
    Toshniwal, Durga
    [J]. 17TH INTERNATIONAL CONFERENCE IN KNOWLEDGE BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS - KES2013, 2013, 22 : 142 - 151
  • [2] IDENTIFYING KEY PRODUCT ATTRIBUTES AND THEIR IMPORTANCE LEVELS FROM ONLINE CUSTOMER REVIEWS
    Rai, Rahul
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE 2012, VOL 3, PTS A AND B, 2012, : 533 - 540
  • [3] Tourists' perceived value and behavioral intentions based on the choice attributes of wellness tourism
    Kim, Miseong
    Moon, Hyunji
    Joo, Yeonwoo
    Yoon, Yooshik
    [J]. INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2024, 26 (01)
  • [4] The role of key online reviews in affecting online hotel booking: an empirical investigation
    Zhang, Dong
    Wu, Pengkun
    Wu, Chong
    [J]. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2022, 122 (02) : 499 - 520
  • [5] Product customization of tablet computers based on the information of online reviews by customers
    Li, Simon
    Nahar, Kamrun
    Fung, Benjamin C. M.
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2015, 26 (01) : 97 - 110
  • [6] SmartTips: Online Products Recommendations System Based on Analyzing Customers Reviews
    Ali, Noaman M.
    Alshahrani, Abdullah
    Alghamdi, Ahmed M.
    Novikov, Boris
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (17):
  • [7] Product customization of tablet computers based on the information of online reviews by customers
    Simon Li
    Kamrun Nahar
    Benjamin C. M. Fung
    [J]. Journal of Intelligent Manufacturing, 2015, 26 : 97 - 110
  • [8] Identification of key customer requirements based on online reviews
    Li, Nailiang
    Jin, Xiao
    Li, Yupeng
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (03) : 3957 - 3970
  • [9] BERT Feature Based Model for Predicting the Helpfulness Scores of Online Customers Reviews
    Xu, Shuzhe
    Barbosa, Salvador E.
    Hong, Don
    [J]. ADVANCES IN INFORMATION AND COMMUNICATION, VOL 2, 2020, 1130 : 270 - 281
  • [10] A comparison of key attributes between peer-to-peer accommodations and hotels using online reviews
    Zhang, Guojie
    Cui, Rui
    Cheng, Mingming
    Zhang, Qiqi
    Li, Zhiyong
    [J]. CURRENT ISSUES IN TOURISM, 2020, 23 (05) : 530 - 537