• Information Systems Review
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• v.25 no.2
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• pp.57-76
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• 2023

This study classifies the success of creators and YouTubers who have created channels on YouTube recently, which is the most influential digital platform. Based on the actual information disclosure of YouTubers who are in the field of science and technology category, video upload cycle, video length, number of selectable multilingual subtitles, and information from other social network channels that are being operated, the success of YouTubers using machine learning was classified and analyzed, which is the closest to the YouTube revenue structure. Our findings showed that neural network algorithm provided the best performance to predict the success or failure of YouTubers. In addition, our five factors contributed to improve the performance of the classification. This study has implications in suggesting various approaches to new individual entrepreneurs who want to start YouTube, influencers who are currently operating YouTube, and companies who want to utilize these digital platforms. We discuss the future direction of utilizing digital platforms.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.199-209
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• 2019

The importance of business strategy for successful social media engagement has quickly increased as more businesses engage in social media. The importance is even greater for startup companies because startup companies are genuinely new to business, and they need to increase their presence in the market, and quickly access future customers. The objective of this paper lies in exploring key indicators of social media engagements by selected startup companies. The key indicators include two aspects of social media usages by the companies: i) overall social media activities, and ii) properties of network structure of the information flow platform provided by social media service. To better assess and evaluate the key indicators of social media usages by startup companies, the indicators will be compared with those of selected large established companies. Twitter is selected as a social media service for the analysis of this paper, and using Twitter REST API, data regarding the key indicators of overall Twitter activities and the Twitter follower-network of each company in the sample are collected. Then, the data are analyzed using social network analysis and hierarchical clustering analysis to examine the characteristics of the follower-network structures and to compare the characteristics between startup companies and established companies. The results show that most indicators are significantly different across startup companies and established companies. One key interesting finding is that the startup companies have proportionally more influencers in their follower-networks than the established companies have. Another interesting finding is that the follower-networks of startup companies in the sample have higher modularity and higher transitivity, suggesting that the startup companies tend to have a proportionally larger number of communities of users in their follower-networks, and the users in the networks are more tightly connected and cohesive internally. The key business implication for the future social media engagement efforts by startup companies in general is that startup companies may need to focus on getting more attention from influencers and promoting more cohesive communities in their follower-networks to appreciate the potential benefits of social media in the early stage of business of startup companies.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.1-21
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• 2007

Among numerous policy influencers' and researchers' advices and policy suggestions, there is little opposition to the proposition that technology is essential to the economic development. The role of technology has never been more emphasized than today in Korea as in any other countries. The effects of the government's innovation policy on corporate R&D activities and more broadly the economic welfare of a whole nation are widely recognized with intuitional and empirical evidence. That is, various R&D incentives reduce the marginal cost of a firm's R&D efforts, inducing as much increase of its R&D investment to result in a better chance to acquire target technology. This paper examines the impact of R&D incentives on the technological outcomes by analyzing individual firms' investment behaviors subject to the government's R&D incentive policies. An econometric model of technological outcomes is estimated on a project level with cross-sectional data. "Probit model" is employed for estimations. Special attention was given to the effectiveness of R&D programs by estimating policy impact by types of investment. The data were collected from 928 different R&D projects completed between 1987 and 1993. With the single equation approach, we were able to find that the structure of investment is a far more significant factor in technological outcomes than the total amount of investment. The analysis also shows that the two types of firms' matching investment, in-kind and cash, do not bear a complementary, but a substitutive relations to each other. It also reconfirms the proposition that R&D incentives increase firm's financial investment. Despite many supportive studies emphasizing the cooperation between innovation performers, it is also found that the larger the number of institutions involved in a project, the less likely it leads to a technological success, And meeting the proposed deadlines without postponing is estimated to be a good barometer to predict the outcome of an R&D project. Also the probabilities of success for major variables are represented for policy implications, after calculating marginal effects.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.171-181
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• 2020

As expanding marketing channels via social media, a small number of ordinary people have played a role in the information disseminator on social media. Therefore, this study aims to propose efficient social media marketing operation strategies by analyzing the influence relationship from various prospective on beauty channel social media marketing This study examined how beauty channel social media experience affects satisfaction and purchase intend. The components of social media experience were divided into entertainment, interaction, trendiness, usefulness for analysis. Social media experience was confirmed as a factor having significant effect on satisfaction and purchase intend. As a result, the social media experience had a significant effect on the satisfaction and purchase intend and the influence relationship of social media experience on each component was found to be entertainment, usefulness. Also, the expertise of beauty influencers had a significant influence on satisfaction and purchase intend. It is expected that the study results would be available as important data for beauty influencer-based marketing. This study attempted to search for a marketing stratege plan for efficient consumer management and derive and suggest practical implications.

• Journal of Wetlands Research
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• v.23 no.1
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• pp.27-34
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• 2021

In this study, the main influencing factors of the occurrence of cyanobacteria at each of the eight Multifunctional weirs were derived using a random forest, and a categorical prediction model based on a Algal bloom warning system was developed. As a result of examining the importance of variables in the random forest, it was found that the upstream points were directly affected by weir operation during the occurrence of cyanobacteria. This means that cyanobacteria can be managed through efficient security management. DO and E.C were indicated as major influencers in midstream. The midstream section is a section where large-scale industrial complexes such as Gumi and Gimcheon are concentrated as well as the emissions of basic environmental facilities have a great influence. During the period of heatwave and drought, E.C increases along with the discharge of environmental facilities discharged from the basin, which promotes the outbreak of cyanobacteria. Those monitoring sites located in the middle and lower streams are areas that are most affected by heat waves and droughts, and therefore require preemptive management in preparation for the outbreak of cyanobacteria caused by drought in summer. Through this study, the characteristics of cyanobacteria at each point were analyzed. It can provide basic data for policy decision-making for customized cyanobacteria management.

• The Journal of Information Systems
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• v.30 no.4
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• pp.173-202
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• 2021

Purpose This study explored overall phenomena in context such as YouTube channel operation, strategy, and profit generation through interviews with two research participants who started their own businesses and are recognized as influencer on YouTube and analysis of viewer responses to uploaded contents. With the explosive growth of YouTube content provision and use, previous studies on YouTube are only being conducted individually on YouTube's content, influence, and content providers, so it is need to explore YouTube channel operations and the effect of revenue generation in context from an integrated perspective. Therefore, the purpose of this study is to present an integrated model that provides a specific process by contextually linking the factors and results influencing YouTube channel operation and revenue generation phenomena to individuals and companies who are trying to operate YouTube channels for the first time. Design/methodology/approach This study systematized and structured the overall phenomena in context such as YouTube channel operation, communication strategy, effect on revenue generation, and YouTube channel operation results by selecting interview subjects and collecting data through interviews, and analyzing viewer reactions (likes, comments, etc.). Due to the lack of previous studies exploring integrated phenomena, research analysis used Strauss & Corbin (1998)'s grounded theory approach, which presented inductive research methods to discover new theories by structuring concepts and categories based on detailed observations and information provided by interviewees. Findings The academic implication of this study is that while previous studies are conducted as individual studies on YouTube's content, influence, and content providers in the current situation where YouTube content provision and use are exploding, it integrally explores and presents an integrated model throughout the process. In addition, taking into account the lack of previous studies, it can be found in the aspect of using the grounded theory approach, an inductive theory approach that establishes a new theory. The practical implications can be found in that it presented practical directions to beginners who want to start operating YouTube channels by identifying operational preparations, communication strategies with viewers, and response management strategies.

• Korean Journal of Culture and Social Issue
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• v.27 no.2
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• pp.167-189
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• 2021

The purpose of this study was to classify different profiles of grit (effort vs. interest) and passion mindset (fixed vs. growth) in university students and to understand whether there are differences in psychological characteristics (ie. depression, anxiety and happiness) and career adaptability between the profiles. To this end, we recruited 359 students aged 18 and 25 and applied a Latent Profile Analysis(LPA). The results revealed 4 distinct profiles : Profile1-a burgeoning type, Profile2-an ordinary type, Profile3-a fixed/limited type, Profile4-sprouting/drifting type. The profile1(LP1, 22.2%) had high levels of grit and passion growth mindset. The profile2(LP2, 63.8%) showed average levels in both grit and passion mindset. The profile3(LP3, 8.8%) had a low level of grit and a high level of passion fixed mindset. The profile4(LP4, 5.1%) showed a low level of grit and a high level of passion growth mindset. The four profiles were distinct in psychological characteristics and career adaptability. The burgeoning type(profile1) was most adaptive in comparison to the fixed/limited type(profile 3). These results suggest that grit has more powerful effects on psychological characteristics while passion growth mindset exerts stronger influencers in career adaptability. Putting the results together, our findings imply that both passion growth mindset and grit need to be considered together to enhance the individuals' comprehensive well-being and to increase the level of adaptation for career preparation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.185-191
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• 2023

Research to analyze the future prediction of value is being conducted in various. However, it was found through the research results of each field that such future value analysis has too many variables according to each field, so the accuracy of the prediction result is low, and it is difficult to find objective key influencing factors that affect the result. In particular, since objective standards for the importance of various influencing factors have not been established, the key influencing factors have been judged and applied based on the researcher's subjectivity. Accordingly, there is a need for a reasonable process model for extracting key influencing factors that affect the prediction of volatility goods value that can be objectively applied in various fields. In this study, process modeling for extracting key influencing factors was conducted in seven steps, and the method for extracting key influencing factors was explained in detail in each step. In addition, as a result of simulation by applying Ni metal among the major variable goods in the field of raw materials using the proposed modeling, the predicted value by the existing method was 0.872% and the predicted value by applying the modeling of this study was 0.864%. conformance was confirmed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.193-204
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• 2023

In recent years, the concept of influencer marketing has experienced rapid growth in both academia and industry, leading to its emergence as a crucial consideration in the marketing strategies of many businesses. Despite the significance and expansion of the influencer market, however, research on the topic has not kept pace with its growth. Thus, this study seeks to address this gap by empirically analyzing the impact of influencer characteristics on consumer behavior through the coexistence of buyers and providing an empirical contribution to expand the relevant literature. To accomplish this, a survey was conducted with a sample of 400 individuals who had purchased a product through an influencer, and 384 responses were ultimately utilized in the analysis. The results revealed that the attractiveness and empathy of influencers had a positive impact on satisfaction among coexisting buyers, while also having a negative impact on dissatisfaction. In contrast, expertise had no impact on satisfaction, but a positive impact on dissatisfaction. Moreover, satisfaction was found to have a positive impact on brand image and recommendation intention, whereas dissatisfaction had a negative impact on both. Overall, this study adds to the growing body of literature on influencer marketing by providing empirical evidence of the impact of influencer characteristics on consumer behavior, specifically through the lens of coexistence with buyers. These findings hold important implications for businesses looking to develop effective influencer marketing strategies that can enhance their brand image and recommendation intention among consumers.

• The Journal of Korean Society for School & Community Health Education
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• v.25 no.1
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• pp.17-28
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• 2024

Background & Objectives: This study aimed to examine the relationship between subjective health perception and health behaviors among adolescents, utilizing raw data from the 8th Korea National Health and Nutrition Examination Survey (2019-2021) while distinguishing between genders. Methods: The study employed data from the 8th Korea National Health and Nutrition Examination Survey (2019-2020), recruiting students from 1st to 3rd grades in middle and high schools nationwide. Through population stratification, sample distribution, and sampling stages, a final sample of 1,065 adolescents aged 12 to 18 years was selected. The collected data were analyzed using SPSS 28.0 (IBM Corp., Armonk, NY, USA) at a significance level of .05. Results: Regarding the general characteristics of the subjects, no statistically significant differences were observed among male students based on school, family structure, and income. However, among female students, a significant difference in subjective health perception was noted, with higher perception among high school students compared to middle school students (p=.001). Significant differences in health behaviors were identified based on family structure for male adolescents, where those living with both parents exhibited more health-promoting behaviors than single-parent adolescents (p=.011). However, no significant difference was observed among female adolescents. In terms of health behaviors related to gender, regular exercise was found to significantly impact subjective health perception in male adolescents (p=.013), while breakfast habits were identified as significant influencers for female adolescents (p<.001). Conclusions: This study revealed gender differences in subjective health perception and health behaviors among adolescents. Based on these findings, there is a perceived need for the development of health promotion programs tailored to the unique needs of male and female adolescents.