• Journal of the Korean Applied Science and Technology
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• v.40 no.4
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• pp.825-842
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• 2023

This study conducted a survey to analyze the influence of the consumer-brand interaction and the consumer-brand relationship on motivation and satisfaction based on the perceived age of men and women in their teens and 50s who subscribe to cosmetic brands through SNS accounts. For statistical processing of the collected data, frequency analysis, factor analysis, reliability analysis, regression analysis, and multiple regression analysis were performed with SPSS 21.0. The perceived age of the subjects was classified into 'perceived lower group', 'perceived middle group', and 'perceived higher group' according to the difference between the age perceived by others and the age perceived by themselves. In the three groups, the consumer-brand interaction and the consumer-brand relationship showed a meaningful positive relationship with motivation, and the consumer-brand relationship was found to be a major variable explaining 'attractive' among motivation. In the three groups, the consumer-brand interaction and the consumer-brand relationship showed a significant positive relationship with satisfaction, and the consumer-brand relationship appeared as a major variable explaining satisfaction. Therefore, the conclusion of this study is that by perceived age group, the consumer-brand interaction and the consumer-brand relationship have a positive effect on motivation and satisfaction. In particular, it was found that the consumer-brand relationship is a major variable in cosmetics motivation and satisfaction. As this study empirically analyzes the influence of age perceived on SNS on cosmetics brand marketing, it is considered to be a practical implication for establishing cosmetics sales strategy and basic data that can be used for marketing.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.165-171
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• 2020

Most of the stock price prediction research using text mining uses news and SNS data. However, there is a weakness that it is difficult to get honest and vivid information about companies from them. This paper deals with the problem of the prediction for the direction of stock price by doing text mining the online company reviews of internal staff indicating employee satisfaction. The comparative analysis of the prediction models for the direction of stock price showed the prediction model, which adds internal employee reviews, has better performance than those that did not. This paper presents the convergence study using natural language processing in financial engineering. In the field of stock price prediction, This paper pursued a new methodology that used employee satisfaction. In practice, it is expected to provide useful information in the field of forecasting stock price direction.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.205-226
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• 2008

The success of social networking sites (SNSs) may depend on many factors. Continuance use of SNSs is one of these. Especially, in the Web environment where users can leave one service with a single mouse click, maintaining existing members cost much time and efforts. Without continuance use of SNSs, SNS-based service would not create any value. This study focused on identifying factors influencing users' continuance intention in SNSs. Based on relevant literature review, six influencing factors were initially identified. They were reputation, relational capital, knowledge quality, compatibility, personalization, and satisfaction. Web-based questionnaire survey was conducted and a total of 325 usable responses were collected. Reliability test and two rounds of exploratory factor analyses resulted in identifying five factors. The relationship between the factors and the continuance intention was tested by using multiple regression analyses. The analyses revealed that satisfaction was the most significant factor. Knowledge quality and relational capital also had significant effects while reputation and personalization did not have significant effect on continuance intention. Instead, reputation and personalization showed significance in influencing satisfaction.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.32 no.2
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• pp.20-28
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• 2024

The purpose of this study is to investigate the impact of negative emotions on the intention to share negative experiences caused by unruly passengers on flights. 163 questionnaires were collected and an SEM model was used to measure the relationship between passengers' negative emotions and sharing intentions. We empirically analyzed the impact of unruly passenger behavior on social media sharing intention through negative emotions, airline trust, and satisfaction with service recovery. Theoretically, we established a clear causal relationship between these variables. The results of this study shed light on the importance of developing a sustainable service strategy for passengers by analyzing the impact of negative emotions and sharing intentions. Based on our findings, we recognized that airlines should respond to disruptive behavior while understanding the negative emotional feelings of surrounding passengers. Therefore, this study strongly recommends that airlines should respond appropriately to in-flight disruptive behavior and ensure that passengers' negative emotions do not damage the overall reputation and image of the airline.

• Journal of the Korean Society of Radiology
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• v.15 no.7
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• pp.1031-1040
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• 2021

In this study, the actual condition of ultrasound examination was conducted for radiological technologist working across the country. The measuring tool of the study was a questionnaire, and it was targeted to radiological technologist engaged in ultrasound examination at medical institutions located across the country from February 01 to July 31, 2021. In consideration of the COVID-19 situation, 431 questionnaires suitable for research were analyzed using the SPSS/PC Ver 18.0 program using email and SNS in a non-face-to-face manner. The general characteristics of study subjects, ultrasound examination job characteristics, and job satisfaction factors were analyzed using descriptive statistics. As a result of analyzing the job characteristics of radiological technologist who perform ultrasound examination as overall job satisfaction, the overall job satisfaction was 3.30 ± 0.56. The job satisfaction level of radiological technologist performing ultrasound examinations was higher than the average of 3.0 points, indicating a higher job satisfaction level than the average. Since insurance coverage for ultrasound examinations started, many radiological technologists have been very interested in ultrasound examination work. Therefore, the Korean radiological technologists of Association and radiological technolgists engaged in ultrasound examination more attention and effort should be put into strengthening professionalism.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.143-155
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• 2016

This study conducted a survey and emperical analysis of SNS based consumer experience visits to eat out companies. A total of 350 questionnaires were collected of which 28 were deemed unreliable, leaving 322 responses to be used in the analysis. SPSS 22.0 was employed to carry out frequency analysis, factor analysis, and reliability analysis, correlation analysis, and regression analysis. First, choose eat out properties multiple regression analysis on the impact on customer satisfaction, overall explanatory power of the regression equation $R^2=.521$ (adjusted $R^2=.515$) and F values were analyzed statistically significant the influence of the positive (+) with 86.325 p=0.000 and the regression equation. Content type pursuit of independent variables (B=0.540, p<0.001), seeking safety type (B=0.292, p<0.001) were significantly appeared showed the influence of the positive (+), Pursuit convenience-type (B=0.071, p<0.001) and the pursuit of dignity type (B=0.002, p<0.001) the sub-showed the influence of (-). Second, the multiple regression analysis on the impact on customer satisfaction to others is recommended explanatory power is $R^2=.539$ (adjusted $R^2=.538$) and F values are analyzed by a statistical regression equation p=0.000 and 374.765 in significance showed that the model fit the regression line. Customer satisfaction is the independent variable was the influence of the positive (+) to (B=0.540, p<0.001).

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.622-635
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• 2018

On top of presenting the possibility of expanding the game space to social space through mobile communication, MSNG reinforces the strengths of SNS and the fun of games through closer networks between users. This study empirically verified the effects of the characteristics of MSNG on interactions and user satisfaction by dividing the main characteristics of MSNG into graphics, challenge spirit, and reward, and then dividing the main characteristics of mobile social network service into social interaction and technical interaction. In the results of study, the main characteristics of MSNG such as graphics, challenge spirit, and reward all had significant effects on the social interaction and technical interaction while the social interaction and technical interaction of MSNG also had significant effects on the user satisfaction, so that the hypotheses of this study were all selected. The influence of the characteristics of MSNG on interactions might be because of shared feedbacks through graphics, game tasks, and reward in the performance process of MSNG, and such interactions make diverse people have the horizontal or circular communication, which is led to the increase of user satisfaction.

• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.127-139
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• 2013

Social commerce has not been studied in depth as it is a more common recent phenomenon. Especially, social commerce has not been examined academically in terms of information quality despite its importance. The purpose of this paper is to investigate the effects of information quality on customer satisfaction and continuous intention to buy in social commerce market. This study addresses two research questions as following. First, this study aims to examine the effects of information quality on customer satisfaction and then investigate the relationship between customer satisfaction and continuous intention to use in social commerce market. According to the result of analysis, all aspects of information quality except price information quality were found to be significantly related to the customer satisfaction. Finally, customer satisfaction was shown to be significantly related to the continuous intention to use. This study has academic and practical significance in that it analyses the customer satisfaction in terns of information quality and then provides strategic guide for enhancing customer satisfaction in rapidly developing social commerce market.

• Trans-
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• v.11
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• pp.97-116
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• 2021

This study aims to suggest an environment in which audience can play the role of micro-influencers after exploring the factors of satisfaction focusing on audiences who attended the Seoul Dance Film Festival(SeDaFF). In order to meet the research goal, among the audiences who attended SeDaFF, articles mentioning this festival on their SNS were collected and this data was analyzed using the LDA topic model. As a result, the most important satisfaction factor when visiting a dance film festival was the program. It might seem cliché to discuss the importance of programs at film festivals, but through the examination, this study made the case that if the satisfaction factor is met, it is still possible to influence the behavioral intentions and reinforcing the role of a micro-influencer even in a genre with a strong artistic nature and a limit to audience development. Furthermore, this study was intended to contribute to broadening the scope of research on the audience.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.71-89
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• 2019

In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.