Semantic Network Analysis of Hotel Package through the Big Data

Ban, Hyun Jeong; 김학선,

doi:10.20878/cshr.2019.26.2.014

Cited by 6 publications

(8 citation statements)

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“…In addition, this study emphasizes that this research expands the field of semantic network analysis and has academic significance based on some previous studies [10,42,48] . Due to the significance of the halal restaurant segment in the tourist industry, this study employs online review analytics to analyze the experience and satisfaction of halal restaurants [83] .…”

Section: Theoretical Implicationsmentioning

confidence: 63%

“…In the second part of the research, a semantic network analysis is performed on the most frequently occurring terms. These words are chosen based on the relationship that each word has to the topic of the study [42,43] . Qualitative analysis might be said to have taken place at this phase because it focused on the text.…”

Section: Discussionmentioning

confidence: 99%

“…Qualitative analysis might be said to have taken place at this phase because it focused on the text. In this study, the centrality analysis (Freeman's degree and eigenvector) as well as the CONCOR analysis are carried out in order to identify the significance of the top frequencies in relation to their centrality values and, secondly, to determine the dimensions related to customer perception and cognition of halal-certified restaurants in South Korea [42,44,45] . This research was carried out in order to answer the following questions.…”

Section: Discussionmentioning

confidence: 99%

“…The ratings that are offered by customers' reviews on Google Travel are used in this manner to measure the level of satisfaction felt by customers. Every review has a score ranging from one to five, with one signifying the reviewer being the least satisfied and five representing the reviewer being the most satisfied [38,42,46,47] .…”

Section: Discussionmentioning

confidence: 99%

“…Some of the customers are Korean and are not familiar with the word "halal", and some of the customers are tourists who are not Muslims. Prior studies have used frequency top keywords to determine the frequency of words based on online reviews [10,42,48] . Word frequency statistics are derived from online reviews and can be used to determine the frequency of words.…”

Section: Analysis Of Word Frequencymentioning

confidence: 99%

See 4 more Smart Citations

Unlocking Customer Satisfaction of Halal Restaurant in South Korea through Online Review Analysis

Handani

Kim

2023

Environ Soc Psychol

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The purpose of this study is to examine customer satisfaction of halal restaurants that have received halal certification from the Korea Muslim Federation (KMF). A total of 1,544 reviews from 11 halal-certified restaurants in South Korea were collected from Google reviews using SCTM 3.0 (Smart Crawling and Text Mining). UCINET 6.0 is used to analyze the network centrality and perform CONCOR analysis. This study quantitatively identified the relationship among five dimensions: halal cuisine, Islamic dining, food menu, service and value. However, Islamic dining, service, and value were positively impacted to customer satisfaction. This study indicates that the Halal label is a significant factor in the dining preferences of halal restaurant customers in South Korea. The results of this study may be useful in marketing halal restaurants in South Korea which have not applied for halal certification from the Korea Muslim Federation.

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Section: Theoretical Implicationsmentioning

confidence: 63%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Analysis Of Word Frequencymentioning

confidence: 99%

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Unlocking Customer Satisfaction of Halal Restaurant in South Korea through Online Review Analysis

Handani

Kim

2023

Environ Soc Psychol

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Beyond virtual boundaries: the intersection of the metaverse technologies, tourism, and lifelong learning in China’s digital discourse

Saneinia,

Zhai,

Zhou

et al. 2024

Humanit Soc Sci Commun

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Ecological hotels' customer satisfaction through text mining of online reviews: a case of Ecuador hotels

Brito

Ban

Kim

2023

JHTI

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PurposeThis research aims to analyze the customer satisfaction associated with experiences from 14 ecological hotels in Ecuador by exploring online guest reviews and classifying the most influential factors.Design/methodology/approachThis study applied big data exploration, semantic network analysis, EFA and linear regression. It processed 22,629 online reviews from Google/travel, extracting 100 words with the highest frequency. In addition, CONCOR analysis built a comprehensive structural model gathering essential keywords. Furthermore, exploratory factor analysis and regression were conducted to explore the elements that best express customer satisfaction in ecological hotels.FindingsThe words such as green, sustainable, recycle, environment and ecological were not found among the main attributes extracted. Nonetheless, the keywords obtained reflect customer satisfaction, revealing that green practices do not affect comfort and the guests' experience. CONCOR analysis displayed four categories associated with satisfaction: tangibles, experience, location and empathy. Then, EFA restructured and revealed the factors: facilities feature, assurance, reliability, location and experience. Lastly, the regression disclosed location, assurance and facilities features as the most significant factors for customer satisfaction in the 14 ecological hotels. The terms related to the hotel area, staff care and hotel amenities were decisive for guests.Practical implicationsThis study demonstrated that employee courtesy and location are the keys to enhancing customer experience and satisfaction. Hotel managers must promote green attributes and practices to increase customer awareness through constant staff training and information disclosure in common areas.Originality/valueThese findings provide insight and empirical evidence for hoteliers to understand how and what guest perceive to be green practices. By identifying the main features or concepts associated with satisfaction in Ecuador's green hotels, hoteliers could address new strategies to respond to expectations, effectively satisfy customers and provide a superior experience.

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Semantic Network Analysis of Hotel Package through the Big Data

Cited by 6 publications

References 0 publications

Unlocking Customer Satisfaction of Halal Restaurant in South Korea through Online Review Analysis

Unlocking Customer Satisfaction of Halal Restaurant in South Korea through Online Review Analysis

Beyond virtual boundaries: the intersection of the metaverse technologies, tourism, and lifelong learning in China’s digital discourse

Ecological hotels' customer satisfaction through text mining of online reviews: a case of Ecuador hotels

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