• Journal of Digital Convergence
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• v.20 no.3
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• pp.251-264
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• 2022

The purpose of this study is to present factors and strategies for successful rewarded-crowdfunding of companies. For this, rewarded-crowdfunding based on the extended theory of planned behavior(E-TPB) by adding individual innovation and risk preference as extended variables, in addition to the basic variables of the theory of planned behavior(TPB), including attitude, subjective norm, and perceived behavior control. In addition, the moderating effect of rewarded-crowdfunding experience was confirmed. In addition, the moderating effect of the rewarded-crowdfunding experience was confirmed, and exploratory factor analysis and multiple regression analysis were conducted for questionnaires who were aware of the concept of rewarded-crowdfunding. As a result of testing the hypothesis, it was found that attitude, subjective norm, perceived behavioral control, and risk preference affect the intention to invest in rewarded-crowdfunding. Also, we could find that perceived behavior control and risk preference were moderately influenced by investor who had experience in rewarded-crowdfunding. Based on the research results, it has academic and practical value by presenting the direction of enhancing the success of rewarded-crowdfunding that companies can use as a way to raise funds and boost sales.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.515-522
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• 2018

Current signs of a downturn in South Korea's economy include the sharp drop in consumption. Considering internal and external complications such as the raise in minimum wage and fierce global competition, people's taste and purpose of consumption is shifting as well. Under such circumstances, crowdfunding provides a new investment and distribution channel for businesses in their initial stages. Crowdfunding can serve as a key driver of growth in early stages of business operations and lead to growth in consumption as a new distribution channel. This study explores how customers perceive the process of reward crowdfunding, especially when it comes to fairness in procedure, interaction, and distribution. In addition, we further seek how perceived fairness affects customer satisfaction and loyalty in the industry.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.13-22
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• 2020

This study aims to find out success factors of crowdfunding on movie projects. For empirical analysis, we collected 583 data of the movie projects from the crowdfunding platform 'Tumblbug'. To figure out the success factors, we examined effects of 10 independent variables on 1 dependent variable. The independent variable includes target amount, project information, reward options, creator funding power, editor recommendation, creator contents power, movie type, number of comments, number of replies, and number of SNS information. The final achievement rate of crowdfunding was set as dependent variable. This study found that the target amount, number of text information, number of video information, editor recommendation, number of backers' reply, and number of SNS information had a significant impact on the achievement rate of the movie crowdfunding project. This study has implications in that it has discovered a variable of editor recommendation and the number of SNS information, and both of them have a positive effect on crowdfunding achievement.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.99-114
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• 2022

Crowdfunding is one of new financing alternatives and is innovative and creative. In order to proceed with crowdfunding, various functions are required, such as design for screen composition, marketing and promotion for the public, accounting to manage the collected funds, and product production and purchase for reward. In addition, since it is a project that must be completed in a short period of time, cooperation between team members is important. This paper studied how the characteristics of the team conducting crowdfunding affect the team performance in crowdfunding. In this study, we set functional background diversity and shared leadership necessary for crowdfunding as team characteristic variables and crowdfunding amount, completion of work and team innovation as team performance variables. This study tests the hypotheses from 220 university students in 79 teams. The findings suggest that functional diversity and shared leadership are positively related to the completion of work and team innovation but not related to crowdfunding amount. To date, few studies have studied the relationship between characteristics of the crowdfunding team and performance. Therefore, the study on functional diversity and shared leadership in crowdfunding can expand existing crowdfunding study area.

• Journal of Fashion Business
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• v.26 no.3
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• pp.155-167
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• 2022

Hanbok, a traditional Korean clothing, became a hip culture for young people in the late 2010s. As hanbok brands for young people appeared and distribution channels changed for them, hanbok appeared on the crowdfunding platform. This study summarized characteristics of hanbok provided as rewards by funding projects in Wadiz, the largest crowdfunding platform in Korea. Results of this study are as follows. First, since the first successful crowdfunding in 2015, it has shown rapidly growth. Second, as a result of examining the name of reward hanbok, 167 reward hanbok appeared. They could be divided into three periods: women's hanbok, unisex hanbok and trendy hanbok period. Third, looking at characteristics of reward hanbok from each period, feminine Chollic onepiece during the women's Hanbok period adopted the feminine interpretation of the original men's Hanbok. Characteristics of reward hanbok during the Unisex Hanbok period are in the direction of the closure. By adopting the direction of the closure of hanbok that both men and women can use, unisex hanbok is appeared. Finally, reward hanbok during the trendy hanbok period reflected trends such as genderless and hip. Hanbok reflected various trends from home culture to COVID-19 that occurred around the world at that time.

• Journal of Korean Home Economics Education Association
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• v.30 no.4
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• pp.93-112
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• 2018

We analysed the textbooks of Home Economics in middle school from 1^st to 2009 curriculums to investigate the contents and the portion of Food and Nutrition section. The key words were generated by word cloud technique using text-mining, and the portion of Food and Nutrition section was presented as a ratio of the pages. The core key words of Food and Nutrition section through the curriculums were 'raw food'·'food'·'diet'. In 1^st and 2^nd curriculums, the main key words were related to food materials, condiments and nutrients such as 'vitamin'·'protein'. The words such as 'nutrition'·'eating'·'requirement' were newly appeared in 3^rd, 'portion' in 6^th, and 'diet'·'adolescence' in 7^th curriculum. The mean ratio of Food and Nutrition section in Home Economics was 24.3%. While the portion was as high as 31.8% in 7th it was strikingly reduced to 15.2% in 2009^th. curriculum. Besides, Food and Nutrition section was composed of 10 units of middle level category during the 2^nd and 3^rd curriculums, and was reduced to 2 small units with none of middle level category in 2009^th curriculum. Although the contents of Food and Nutrition section has been developed and adapted to the needs of the society through the curriculums, the portion of Food and Nutrition section in Home Economics has been reduced especially in 2009^th curriculum, which could raise concerns on the health of individuals and communities.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.935-940
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• 2023

Most text data collected through web scraping for artificial intelligence and big data analysis is generally large and unstructured, so a purification process is required for big data analysis. The process becomes structured data that can be analyzed through a heuristic pre-processing refining step and a post-processing machine refining step. Therefore, in this study, in the post-processing machine refining process, the Korean dictionary and the stopword dictionary are used to extract vocabularies for frequency analysis for word cloud analysis. In this process, "user-defined stopwords" are used to efficiently remove stopwords that were not removed. We propose a methodology for applying the "thesaurus" and examine the pros and cons of the proposed refining method through a case analysis using the "user-defined stop word thesaurus" technique proposed to complement the problems of the existing "stop word dictionary" method with R's word cloud technique. We present comparative verification and suggest the effectiveness of practical application of the proposed methodology.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.53-61
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• 2022

Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.