• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.358-369
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• 2021

This study aims to classify the dimensions of the sales information of secondhand clothing goods on the C2C secondhand trading platform and to systematically analyze the components of each dimension. To this end, the NVivo 12.0 qualitative data analysis software was used. The content analysis showed that the sales information of secondhand clothing goods was classified into four dimensions: detailed information of the sale goods, information specific to secondhand clothing goods, seller opinion information, and service information. The components of each dimension were as follows. The detailed information of the sale goods included size, sale price, item, design, brand name, material, color, wearing season, fit, gender, etc. The information specific to secondhand clothing goods included the number of times the item was worn, its purchase history, and product condition. Seller opinion information included product review, sales motivation, notes for the transaction, coordination proposal, and usage proposal. The service information included the transaction mode, exchange·return·refund, and promotion. The frequency analysis showed that the highest frequencies were sale goods(37.47%), information specific to secondhand clothing goods(24.63%), seller opinion information(20.54%), and service information(17.37%). This study will help C2C secondhand trading platform managers or sellers establish clear standards for presenting sales information and developing ideas toward constructing differentiated platform contents.

• The Journal of Information Systems
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• v.32 no.3
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• pp.151-164
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• 2023

Purpose This study aims to analyze the current status of consumer awareness on Internet banks by conducting a full investigation and collecting user opinions presented on Google Play. After cateogorizing the current dissatisfaction, we would like to present not only the direction of the Internet bank service of but also the improvements of the platform. Design/methodology/approach Using opinion mining, subjectivity analysis, polarity analysis, and polarity information analysis of comments were conducted step by step to extract negative and positive keywords. The extracted keywords analyzed the weights of the frequently appearing positive and negative keywords using the TF-IDF model. Based on previous studies that negative information is more sensitive to positive information, we tried to confirm the connection, proximity, and mediation of negative keywords. Semantic Network Analysis (SNA) was used to visualize the connection relationship between the negative comment keywords of the three Internet banks. Findings Domestic Internet banks such as Kakao Bank, K-Bank, and Toss Bank have attracted a lot of attention even before they were established, and after establishment, they have secured a wide range of users through platforms that are completely different from existing banks. This study found out that the convenience of the app affects the opening and transaction of non-face-to-face accounts, which are characteristics of domestic Internet banks, which also affects the bank's business strategy. In addition, this study shows that the business characteristics of the company can be identified.

• Asian Journal for Public Opinion Research
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• v.3 no.4
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• pp.156-175
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• 2016

This paper considers whether random sampling always produces more accurate survey results in the case of South Korea. We compare information from the 2010 census to the demographic variables of three public opinion surveys from South Korea: Gallup Korea's Omnibus Survey (Survey A) is conducted every two months by Gallup Korea; the annual Social Survey (Survey B) is conducted by Statistics Korea (KOSTAT); the Korean General Social Survey (KGSS or Survey C) is conducted annually by the Survey Research Center (SRC) at Sungkyunkwan University (SKKU). Survey A uses quota sampling after randomly selecting the neighborhood and initial addresses; Survey B uses random sampling, but allows replacements in some situations; Survey C uses simple random sampling. Data from more than one year was used for each survey. Our analysis suggests that Survey B is the most representative in most respects, and, in some respects, Survey A may be more representative than Survey C. Data from Survey C was the least stable in terms of representativeness by geographical area and age. Single-person households were underrepresented in both Surveys A and C, but the problem was more severe in Survey A. Four-person households and married persons were both over-represented in Survey A. Less educated people were under-represented in both Survey A and Survey C. There were differences in income level between Survey A and Survey C, but income data was not available for Survey B or the census, so it is difficult to ascertain which survey was more representative in this case.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.4
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• pp.177-184
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• 2017

The abstract should concisely state what was done, how it was done, principal results, and their significance. It should be less than 300 words for all forms of publication. Recently social disasters have been occurring frequently in the increasing complicated social structure, and the scale of damage has also become larger. Accordingly, there is a need for a way to prevent further damage by rapidly responding to social disasters. Twitter is attracting attention as a countermeasure against disasters because of immediacy and expandability. Especially, collecting public opinion on Twitter can be used as a useful tool to prevent disasters by quickly responding. This study proposes a collecting method of Twitter public opinion through keyword analysis, issue topic tweet detection, and time trend analysis. Furthermore we also show the feasibility by selecting the case of humidifier disinfectant which is a social issue recently.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.197-221
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• 2020

We collected national newspaper articles on the largest Chinese investment project in Malaysia, Forest City, and examined media sentiment polarity using alternative automated sentiment analysis tools. We further checked the robustness of these results using content analysis, and consistently found that sentiment polarity for mainstream news is more volatile than independent online journalism. We also found that the sentiment polarity of Malaysian mainstream media towards Chinese investments is aligned with government interactions between the two countries. This suggests that the sentiment of Malaysian mainstream media towards Chinese investments complies with local government attitudes, while independent online media are less constrained by government control. In light of this, foreign investors looking to more effectively estimate risks should monitor both independent and mainstream media to calculate the sentiment of the host country towards their foreign direct investment projects.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.35-41
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• 2005

The purpose of the study was to identify the housing Plan responding to lifestyles of residents living in Center of Ulsan city. The survey used questionnaire from 230 households and analyzed using descriptive statistics. cross analysis, One-Way ANOVA, factor analysis, cluster analysis. The research centered on the possibility of categorizing life styles of residents based upon their living awareness and housing awareness. The results showed that there are two major categorizes of residents's lifestyles. According to classification of their lifestyles, This study tried to analyse the characteristics of residents about housing preference, housing development opinion, housing satisfaction, etc. The application of the lifestyles variable in classifying residents will be important in such activities as large-scale housing supply planning or in the preliminary research and understanding of actual conditions for the housing improvement industry.

• Journal of the Korean Home Economics Association
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• v.39 no.11
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• pp.145-160
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• 2001

The purpose of this study was to classify consumer groups according to shopping attitude and analyze buying intention and evaluation criteria of apparel product, opinion to CATV home shopping among consumer groups. The subjects of this study were 270 women living in Chonbuk and Chonnam regardless their experiene in CATV home shopping. For data analysis frequency, percentage, mean,1-test, factor analysis, Cluster Analysis, Duncan Multiple Range test, were conducted. The results were as follows; First, the type of shopping attitude were classified into the following subdivisions: merchandise assortment oriented type, adventure oriented type, indifferent type, economy oriented group, recreational oriented group. Second, shopping attitude were shown to have the significant differences according to education, the structure of family, working in double hamess. Third, the significant differences among the classified shopping attitude groups were found in buying intention, evaluation criteria of apparel product, and opinion to CATV home shopping.

• Journal of the Korean Society of Clothing and Textiles
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• v.10 no.1
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• pp.59-67
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• 1986

The purpose of this study was to identify the characteristics of fashion leaders in relation to attitude toward change and socioeconomic level among Dae Gu woman as well as among rural women living on the suburbs of Dae Gu: and to compare the characteristics of these urban women in a mass society with the rural women living in a traditional society. Measures selected for this study consisted of the Schrank Fashion Opinion Leadership Inventory(1973), the Schrank ana Sugawara Attitudes Toward Change Inventory(1977), and socioeconomic level. The fashion Innovation Inventory was developed by author which consisted of a list of clothing and accessory items selected after surveys to local stores, campus, and main streets, and study of fashion magazines for the current seasons. The data from 280 respondents were analyzed by Pearson corrleation coefficients, analysis of variance, and t-test. The results were as followers : 1) A significant relationship was found between fashion leadership and socioeconomic level for both urban and rural women. High attitude toward change was significantly related to high fashion innovativeness and high fashion opinion leadership among the urban groups. re significant relationship was found between fashion opinion leadership and attitude toward change among the rural sample. 2) A significant difference was found in attitude toward change scores of four urban sub-sample groups : fashion innovators, fashion opinion leaders, fashion innovative communicators(who exhibit high scores on both fashion innovativeness and fashion opinion leader-ship), and non-fashion innovative communicators. No significant difference was found in attitude toward change scores of four rural sub-sample groups. No significant differences were found in socioeconomic level of four sub-sample groups for both urban and rural women.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.329-340
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• 2015

In the age of media convergence, this study intended to empirically examine the influences of entertainment programs on the formation of public opinion in Twitter using the case of the Healing Camp, an entertainment program of SBS, featured Cheol Soo Ahn, who was a presidential candidate. Through a content analysis this study was able to directly test how public opinion was developed in Twitter and also examine the dynamics in which the messages of traditional media influence the formation of public opinion in twitter by combining Twitter and actual contents of the TV program. The study is expected to contribute to expanding a scope of scholarly attention of social media.

• Human Ecology Research
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• v.58 no.4
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• pp.517-537
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• 2020

This study investigated how consumers and company employees differ in their perceptions of boycotts based on the co-orientation model. Regarding the reasons of boycotts, consumers take both consumer damage cases and unethical conduct equally seriously, while company employees take consumer damage cases more seriously than unethical conduct. Consumer perceptions of the necessity for boycotts was higher than company employees, while employees were more aware of the negative impact of boycotts than consumers. Based on the co-orientation model, we examined how consumers and employees estimate differences in their perceptions of boycotts. The results showed that consumers and company employees are not accurately aware of each other's perceptions. Lastly, logistic regressions were conducted to identify the factors affecting three types of participation: online opinion expression, personal non-purchasing, and persuading other people to join the boycotts. The results showed that male consumers are more likely to participate in online opinion expression; consumer perceptions of effectiveness of boycotts and the perceived severity of consumer damage increase the likelihood of participation in online opinion expression. Consumer perceptions of the necessity of boycotts and their opinion leadership increased the likelihood of non-purchasing. Finally, consumers with higher opinion leadership and female consumers were more likely to encourage others to take part in boycotts. In addition, consumers are more likely to persuade others to join the boycotts if they have stronger beliefs that companies will not seriously consider consumer problems.