• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.71-75
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• 2017

Due to the spread of SNS, web-based consumer-generated data is increasing exponentially. It is important in many fields to accurately extract what is appropriate for the user's interest in a large amount of data. It is especially important for business mangers to establish marketing policies to find the right customers for them in many users. In this paper, we try to obtain important information centering on customers who are interested in each account through Twitter follow - following relationship. Because Twitter's current follower relationships do not reflect the user's interests, we try to figure out the details of interest using keyword extraction methods for tweets of followers. To do this, we select two domestic commercial Twitter accounts and apply the sequential pattern evaluation index to the mining key phrase of the text data collected from the follower.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.1-10
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• 2017

This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1047-1050
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• 2015

Wearable device, along with IoT(Internet of Things), is considered the core of upcoming generation's convergence technology. Companies are intensely competing one another for prior occupation in the smartwatch market. Consumers that use smartwatch express their preferences by sharing their opinions through SNS(Social Networking Service). Through this study, emotions dictionary is built, which consists of attributes and emotional words related to smartwatch. Based on the emotions dictionary, SNS data has been categorized according to the attributes through opinion data model. Afterwards, overall polarity and attribute polarity of collected data are distinguished through natural language parsing, followed by an analysis of smartwatch reviews. This study will contribute to determination of which attributes of smartwatch to be improved, to arise consumer's interest for individual smartwatch.

• International Area Studies Review
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• v.15 no.3
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• pp.493-511
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• 2011

This study investigate the impacts of Chinese consumers' cultural dispositions on the WOM behaviors in SNS. Specifically, cultural dispositions in the individual-level, collectivism and uncertainty avoidance, were examined as potential predictors of eWOM behaviors in SNSs. Hypotheses are tested with a sample of 164 university students in Shanghai, China. The results of the structural equation analysis reveal that chinese consumers' collectivism in the individual-level positively affects the opinion seeking behavior. And chinese consumers' uncertainty avoidance in the individual-level positively affects the opinion seeking behavior and negatively affects the opinion giving behavior. Lastly, the opinion giving behavior positively affects the pass along behavior. Theoretical and managerial implications for Internet marketers in China were presented and discussed.

• Journal of Nutrition and Health
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• v.56 no.5
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• pp.573-588
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• 2023

Purpose: This study aimed to examine social networking service (SNS) use and recommended information utilization (SURU) according to the food-related lifestyles (FRLs) of consumers and analyze how the interaction between the FRL and SURU affects the practice of eating alone and visiting restaurants. Methods: Data on 4,624 adults in their 20s to 50s were collected from the 2021 Consumer Behavior Survey for Food. Statistical methods included factor analysis, K-means cluster analysis, the complex samples general linear model, the complex samples Rao-Scott χ² test, and the general linear model. Results: The following three factors were extracted from the FRL data: Convenience pursuit, rational consumption pursuit, and gastronomy pursuit, and the subjects were classified into three groups, namely the rational consumption, convenient gastronomy, and smart gourmet groups. An examination of the difference in SURU according to the FRL showed that the smart gourmet group had the highest score. The result of analyzing the effects of the FRL and SURU on eating alone revealed that both the main effect and the interaction effect were significant (p < 0.01, p < 0.001). The higher the SURU, the higher the frequency of eating alone in the convenience pursuit, and gastronomy pursuit groups. The main and interaction effects of the FRL and SURU on the frequency of eating out were also significant (p < 0.01, p < 0.001). In all the FRL groups, the higher the SURU level, the higher the frequency of visiting restaurants. Specifically, the two groups with convenience and gastronomic tendencies showed a steeper increase. Conclusion: This study provides important basic data for research on consumer behavior related to food SNS, market segmentation of restaurant consumers, and development of marketing strategies using SNS in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.78-79
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• 2011

Tourism demand is expected to continue to rise, actively respond to these demands and customer needs, optimize and differentiated consumer-based content development and delivery that incorporates principals of the need for mediation, is increasing. Smartphone and internet represented SNS collects information based on customer and customer needs by providing differentiated content to meet the cost and the total satisfaction of all tourism is needed to build Platform Company. Platform Company maximize the utilization of natural maritime resources, marine tourism to meet customer demand, profitable and stable income, including job creation are contributing to.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.1
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• pp.65-81
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• 2023

The purpose of this study is to interpret the semantic actions of body image symbolized in body expression images shown by micro-influencers body profiles to understand the body profile phenomenon of the MZ generation. As a result of collecting body profile data from micro-influencers, the body profile image types of female influencers on SNS were classified into four types, Athletic, Slim body, Natural, and, Glamorous. Images representing each type were analyzed using the Roland Barthes' Myth model analysis frame. As a result of the semantic analysis, influencers were found to be very active and bold, emphasizing certain body parts according to the type of body image they pursue. Fashion is strategically used to emphasize these aspects. It was found that the ideology of a 'subjective modern woman' was commonly expressed through emphasis on visual signs. This study is meaningful in that it can indirectly lead to the understanding the fashion culture expressed by the MZ generation and provide consumer information and essential data that can be used for communication strategies in the fashion market.

• Asia Marketing Journal
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• v.16 no.1
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• pp.149-168
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• 2014

This study investigates the effect of perceived risk on attitude toward mobile Social Network Services (SNSs). First, we understand that perceived risk of SNSs is a multidimensional concept, and we study the relationship between attitude and perceived risk such as social risk, performance risk, and privacy risk in SNS environments. Subsequently, the relationships between these multidimensional concepts of perceived risk and attitude are investigated. The result indicates that social, performance, and privacy risk have negative effects on attitude. In addition, the moderated effect of individual characteristic variables such as hedonic value and self-construal are confirmed as mitigating factors that alleviate the negative impact of perceived risk. The Findings show that customers who perceive SNSs to be risky are more likely to have a negative attitude toward SNSs. However, the negative impact of perceived risk on their attitude toward SNSs is alleviated in customers with high hedonic value. Similarly, the negative impact of perceived risk on their attitude toward SNS is weaker with customers in interdependent self-construal. This paper presents effective segmentation variables, such as consumer's motivation (hedonic value) and psychological variable (self-construal), which mitigate the risk perception of customers. Therefore, it provides practical guidelines for the marketing managers in terms of who to target and what kind of strategies to implement in terms of these segmentation variables to approach consumers more efficiently.

• Asia pacific journal of information systems
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• v.31 no.4
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• pp.448-471
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• 2021

Compared to consumers' focus, in the past, on the functional aspect of fashion products, consumers recently tend to place more importance on their impressive and memorable experiences in purchasing process. As consumer's interest changes from functional aspects to individual experience in purchasing process, fashion brands try to convey the identity of the brand through creating favourable consumers' experiences. Therefore, this study explores the effect of individuals' aesthetic experiences with fashion brands' SNS accounts on their attitudes. More specifically, the study evaluates whether consumers enjoy the flow of fashion brands' SNS accounts and form purchase intentions through their aesthetic experiences and product placement. Through a survey, empirical testing was done to investigate the effect of the aesthetic experience on of flow and purchase intentions. The current study tests the interaction effect among perceived aesthetic experience, narrative images, and product placement employing 2×2×2 MANOVA. The findings herein reveal that the aesthetic experience affects flow and purchase intention, and that there is a statistically significant interaction effect between aesthetic experience, narrative images, and product placement.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.17-37
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• 2012

The evolution of the IT facilitated the social actions of the consumers by supporting social communication of the online users. At the same time it help for the consumer to post malicious comments on the Internet or to spread the unproven news for distorting the public opinion in the SNSs. Although the number of the consumer unethical behaviors and the estimated damage of the innocent companies have been increased, a few studies had investigate on this issue. Based on the Literature on the consumer unethical behaviors and the institution based trust, we had developed the defense strategies against the consumer unethical behaviors. This study would introduce the new perspective that the consumer could always not be innocent. Also, the defense strategy developed in this study could contribute to make the guideline for consumer service manual.