2019
DOI: 10.1108/imds-11-2018-0483
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Perceived image study with online data from social media: the case of boutique hotels in China

Abstract: Purpose The purpose of this paper is to deconstruct the multi-faceted dimensions of Chinese travellers’ image of boutique hotels with a large amount of online textual data from social media (53,427 reviews written from 2014 to 2018), reinforcing the value creation of user-generated content via social media. Design/methodology/approach With the aid of Python, a computer language, online textual reviews (53,427 reviews) of 86 high-end boutique hotels in seven cities (Beijing, Shanghai, Hangzhou, Nanjing, Cheng… Show more

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Cited by 25 publications
(22 citation statements)
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“…Computerized methods vary, but the methods most frequently used in the tourism field are word-frequency analysis (Berezina et al , 2016) and Latent Dirichlet allocation (LDA) (Guo et al , 2017). Word frequency can be extracted and calculated by using software such as CATPAC (Lee and Hu, 2005) or by writing a Python program (Wang et al , 2019). For instance, high-frequency keywords (staff, service and room) were identified to show the most frequent complaint factors (Lee and Hu, 2005).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Computerized methods vary, but the methods most frequently used in the tourism field are word-frequency analysis (Berezina et al , 2016) and Latent Dirichlet allocation (LDA) (Guo et al , 2017). Word frequency can be extracted and calculated by using software such as CATPAC (Lee and Hu, 2005) or by writing a Python program (Wang et al , 2019). For instance, high-frequency keywords (staff, service and room) were identified to show the most frequent complaint factors (Lee and Hu, 2005).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The platform also allows customers to comment on their accommodation experiences with text and pictures to express their true feelings. Many prior studies have used data obtained from Ctrip [61,62], which indicates that it was also reasonable for us to use the data on the website.…”
Section: Data Collectionmentioning
confidence: 99%
“…Trip advisor has information about comments about Disney Shanghai. These remarks provided a second data point for analysis (Wang, et al, 2019). Most of these comments are about the experience which provides insight into the structure and function of the Park (Wu, et.…”
Section: Disney Shanghai -Second Data Pointmentioning
confidence: 99%
“…Every regions has its local cultural basis, which is, reflected in the food, leisure pursuits, beliefs, and desires (Kwon, 2012;Zhang, et al 2019). Today, the way this ancient culture has adapted to new social trends adds to the complexity (Martinstaff, 2015;Wang, et al, 2019). China has an ancient culture and it is mirrored on Chinese leisure consumption and participation.…”
Section: Introductionmentioning
confidence: 99%