A Semantic Network Analysis of Big Data regarding Food Exhibition at Convention Center

김학선,

doi:10.20878/cshr.2017.23.3.024024024

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…It gauges the extent to which a word is central and influential, with more connections resulting in a greater impact on other words and a stronger dominant position. The eigenvector centrality takes the idea of connective centrality further by considering not just the number of connections, but also the significance of the connections [53,54] . The frequency indicator indicates the frequency of the word based on an online review.…”

Section: Centrality (Freeman's Degree and Eigenvector) 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: Centrality (Freeman's Degree and Eigenvector) 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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“…Generation Z which was born in the 2000s, is more interested in content that is visual, concise and easily accessible via mobile devices. Therefore marketing through story chat posts on social media platforms such as Instagram, Twitter, Facebook and TikTok has become an effective way to reach this target audience [38].…”

Section: Resultsmentioning

confidence: 99%

Social Media Marketing and Its Impact on SMEs' Business Performance

Lestari,

Sulastri,

Shihab

et al. 2024

KSS

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Social media plays an essential role in marketing communications. This study aimed to investigate the impact of social media marketing on SMEs’ business performance. Quantitative methods were used and data analysis was done using descriptive statistics. Samples were selected using the accidental sampling method. Data collection technique was conducted by distributing questionnaires to 42 SME owners in Palembang, South Sumatera. Our findings indicated that 76 percent of respondents used social media for marketing activities. Social media marketing had an impact on annual sales performance ranging from 10 to 30 percent. There are several limitations to this study. First, analysis techniques only use quantitative descriptive analysis, and the sample number was limited to only 42 SMEs in Palembang. This study contributes to the digital marketing literature, especially in the SME sector, by providing an initial empirical description of SMEs’ Social Media Marketing. Keywords: social media marketing, business performance, SMEs

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Elicitation of design factors through big data analysis of online customer reviews for washing machines

Kim

Noh

2019

J Mech Sci Technol

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A Semantic Network Analysis of Big Data regarding Food Exhibition at Convention Center

Cited by 8 publications

References 13 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

Social Media Marketing and Its Impact on SMEs' Business Performance

Elicitation of design factors through big data analysis of online customer reviews for washing machines

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