A Comparison of Starbucks between South Korea and U.S.A. through Big Data Analysis

조아라,; 김학선,

doi:10.20878/cshr.2017.23.8.019

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Therefore, the method was utilized in this study in order to identify different clusters of top frequency words which reflect the perception and interest of halal-certified restaurants in South Korea. Taking into account their similarity in position and mutual relationship, the words were grouped accordingly [59] . The CONCOR analysis was used for this study in order to discover clusters of top frequency terms that indicate perceptions of and interest in halal-certified restaurants in South Korea.…”

Section: Concor Analysismentioning

confidence: 99%

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: Concor Analysismentioning

confidence: 99%

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

Handani

Kim

2023

Environ Soc Psychol

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“…They used CEO messages contained in the sustainability report and were able to observe how the disclosure of ESG and HRD themes was formed. Jo and Kim (2017) also used semantic network analysis and CONCOR analysis to compare the ESG strategies of Starbucks in South Korea and the US. They revealed distinct differences in marketing strategies and customer-corporate relations between the United States and South Korea.…”

Section: Literature Reviewmentioning

confidence: 99%

Text Mining Analysis of ESG Management Reports in South Korea: Comparison With Sustainable Development Goals

Yoon,

Han,

Lee

et al. 2023

Sage Open

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The essential value of sustainability has warranted firms to disclose their environmental, social, and governance (ESG) visions. We conducted a significant data analysis using text mining to assess Korean companies’ ESG perceptions in accordance with the 17 Sustainable Development Goals (SDGs) suggested by the United Nations. Bigram frequency, term frequency–inverse document frequency, semantic network, and convergence of iteration correlation analyses were performed in this study. The results indicate that Korean companies focus on consumer protection, especially digital human rights. However, efforts toward global partnerships, as emphasized by the SDGs, were not apparent. These results suggest important ESG values for countries advancing toward the Fourth Industrial Revolution, which will ultimately contribute to global cooperation and sustainable development.

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Comparisons of Airline Service Quality Using Social Network Analysis

Park¹,

Lee²

2019

J. Soc. Korea Ind. Syst. Eng.

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A Comparison of Starbucks between South Korea and U.S.A. through Big Data Analysis

Cited by 3 publications

References 3 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

Text Mining Analysis of ESG Management Reports in South Korea: Comparison With Sustainable Development Goals

Comparisons of Airline Service Quality Using Social Network Analysis

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