• Journal of Convergence for Information Technology
• /
• v.11 no.6
• /
• pp.83-98
• /
• 2021

This study identified the influence of employees' hybrid start-up intention (intention to start a business while maintaining a job) on the employees' self-determination motivation (intrinsic motivation, extrinsic motivation) and prior knowledge through the Model of Goal-directed Behavior (MGB). We used a PLS-SEM called SmartPLS 3.0 for 126 valid samples collected by judgement extraction for office workers throughout June 13, 2020 to July 3, 2020, and empirically evaluated the measurement model (internal consistency reliability, convergent and discriminant validity) and the structural model (multicollinearity, determination coefficient, effect size, predictive relevance, etc.). Only the intrinsic motivation for realizing the hybrid start-up goal of office workers had a significant impact on the hybrid start-up attitude and subjective norms, and the prior knowledge of hybrid start-up had a significant impact on the hybrid start-up desire and the hybrid start-up intention. In order to induce hybrid start-ups for workers with unstable employment, we need systems and programs that can inspire employees with intrinsic motivation and knowledge about hybrid start-up, so follow-up researches are necessary to analyze about government systems and consulting support that can promote hybrid start-up.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.3
• /
• pp.73-86
• /
• 2021

The primary purpose of this paper is to explore the advanced models that predict entrepreneurial innovativeness most accurately. For the first time in the field of entrepreneurship research, it presents a model that predicts entrepreneurial innovativeness based on machine learning corresponding to data scientific approaches. It uses 22,099 the Global Entrepreneurship Monitor (GEM) data from 62 countries to build predictive models. Based on the data set consisting of 27 explanatory variables, it builds predictive models that are traditional statistical methods such as multiple regression analysis and machine learning models such as regression tree, random forest, XG boost, and artificial neural networks. Then, it compares the performance of each model. It uses indicators such as root mean square error (RMSE), mean analysis error (MAE) and correlation to evaluate the performance of the model. The analysis of result is that all five machine learning models perform better than traditional methods, while the best predictive performance model was XG boost. In predicting it through XG boost, the variables with high contribution are entrepreneurial opportunities and cross-term variables of market expansion, which indicates that the type of entrepreneur who wants to acquire opportunities in new markets exhibits high innovativeness.

• Journal of Convergence for Information Technology
• /
• v.11 no.7
• /
• pp.189-194
• /
• 2021

The purpose of this study was to investigate the effect of reducing noise and streaking artefacts by applying the Boost3D algorithm in the case of noise and streaking artifacts generated during computed tomography of the shoulder joint. A phantom study using a thoracic phantom including shoulder joint and clinical evaluation were conducted through shoulder joint images of 35 patients who underwent computed tomography of the shoulder joint from September 2020 to October 2020. The evaluation was divided into groups before and after the application of the Boost3D algorithm, and the noise values, signal to noise ratio, and mean to standard deviation ratio values were analyzed. Both noise values and mean to standard deviation ratio values analyzed in phantom image evaluation and clinical image evaluation were statistically significantly lower in the group after Boost3D was applied (p<0.05). Through this study, it was found that noise and streak artifacts were reduced through the application of Boost3D, and the mean to standard deviation ratio was high, which can be judged as an excellent image. If the Boost3D algorithm is used for computed tomography of the shoulder joint, it is thought that excellent images can be obtained with reduced noise and streaking artifacts that may occur in the shoulder joint area.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.17-23
• /
• 2021

Social media users are an important part of our lives as they spend a lot of time and actively use them. However, it is known that there are many users who feel the psychological stress of SNS stress or fall into addiction due to SNS use. SNS stress negatively affects not only the user's mind but also the body. This study investigates the associations between SNS stress and addiction. To test the hypotheses, the study performed structural equation modeling using Amos. We collected 210 data from SNS users. The empirical results showed that SNS overuse had a significant effect on SNS stress. Second, SNS stress had a significant relationship with SNS addiction. Third, it was found that SNS overuse did not directly affect SNS addiction. This study suggests that it is necessary to recognize the importance of the relationship between SNS addiction and SNS stress.

• Journal of Convergence for Information Technology
• /
• v.11 no.2
• /
• pp.64-72
• /
• 2021

The purpose of this study is to compare the physical, psychological, and social well-being of elderly women living in rural areas depending on their participation in swimming activities. Study sample consisted of 41 elderly women residing in the G province of C region who participated in swimming activities at least 3 times per week for one or more years, and 43 elderly women of the same area who did not participate in swimming activities. Data was collected over the course of 6 weeks. Analysis of the data showed that there are significant differences between participants and non-participants of swimming activities in their physical well-being(pain, flexibility), psychological well-being(perceived health status, depression), and their social well-being(strengthened interpersonal relations). In other words, participants of swimming activities, compared to non-participants, were in better physical, psychological, and social conditions. Thus, active encouragement and support must be in place for elderly women in rural areas to engage in swimming activities by utilizing local swimming facilities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.1
• /
• pp.113-126
• /
• 2021

After the Corona 19 pandemic in the first half of 2020, the business environment has been changed in a very different way. The convergence in digital device would be the keyword of the future business. Due to the Corona 19 incident, the ability to utilize digital media devices has emerged as an important topic as people are focusing on online. The Corona incident has reminded us of how important digitalization is at all points of contact. This study analyzed the effects of digital media device and communication utilization capabilities on entrepreneurial intention by reflecting the mediating effect of risk-taking and proactiveness. For this study, a survey of 250 ordinary people was conducted and finally 212 valid questionnaires were collected. Statistical techniques were analyzed using Amos23. The analysis of the collected data showed that digital media device utilization and communication utilization did not directly affect entrepreneurship intentions, but it was confirmed that entrepreneurship risk-taking would have an intention to start a business. Through this, it was suggested that the development of start-up programs based on entrepreneurship and digital media utilization capabilities should be strengthened in a smart society centered on information and communication to expand job creation for the digital generation.

• Journal of Convergence for Information Technology
• /
• v.12 no.4
• /
• pp.303-315
• /
• 2022

This study compared and analyzed Japan and China, two major competitors to Korea, in the male cosmetics market, which has been shifted dramatically by the outbreak of COVID-19, with implications for the ASEAN market in mind. Questionnaire copies collected from 300 men in Generation MZ living in Korea, China, and Japan were used for analysis, and SPSS 21.0 was used to conduct a statistical analysis of the collected questionnaires. The following are this study's results: First, this study identified their purchase behaviors. The average amount of money the male respondents spent on buying cosmetics was below KRW 30,000 in Korea, China, and Japan. Functionality and texture ranked as top factors contributing to cosmetics purchases in all the three countries. Second, with regard to brands preferred by the respondents, Korea and China were open to foreign brands, while Japan mostly preferred its domestic brands. Functionality and texture ranked as top factors contributing to cosmetics purchase in all the three countries. Second, with regard to brands preferred by the respondents, Korea and China were open to foreign brands, while Japan mostly preferred its domestic brands. Third, this study found changes in the use of cosmetics since the outbreak of COVID-19. The respondents' biggest skin concern since COVID-19 was acne in Korea and Japan and increased sebum excretion in China. Concerns about sebum were commonly ranked high across the three countries. Based on these results, this study is suggested as a reference to improve the export competitiveness of Korean male cosmetics in the ASEAN market.

• The Journal of the Korea Contents Association
• /
• v.22 no.4
• /
• pp.58-69
• /
• 2022

The purpose of this study is to find a way that companies can use social media trust effectively to increase brand trust and intelligently increase it by linking with brand authenticity. Therefore, the purpose of this study is as follows. First, a conceptual definition of the research variables of trust in social media, trust in information sources, and trust in messages is established, Second, the casual relationship between two conceptually defined independent variables and mediator variables of perceived risk and self-efficacy was verified. Third, the casual relationship was verified on whether it affects brand authenticity and brand trust through perceived risk and self-efficacy, which are mediators of social media trust. Fourth, through the verification result of the casual relationship between the research variables constituting the research model of this study, it was intended to present academic and practical implications on how social media trust can effectively enhance brand trust.

• Journal of Industrial Convergence
• /
• v.20 no.10
• /
• pp.137-146
• /
• 2022

The use of RPA (Robotic Process Automation) has been recently reviewed in various industries, but it seems that it is not being applied to companies faster than ever expected. In this study, three perceived risk factors affecting the acceptance conflict and acceptance intention of RPA technology were proposed and the effects of RPA on acceptance conflict and acceptance intention were investigated using RPA experienced people, gender and ICT industries as control variables. For the research, online survey was conducted targeting office workers and analyzed the results by using SPSS 22.0 and AMOS 22.0. As a result, it was found that among the three perceived risk factors, concern about introduction failure, employment insecurity, and execution errors, employment insecurity and execution errors did not affect the acceptance conflict and acceptance intention of RPA. This research shows that concerns over the introduction failure affected the acceptance conflict and acceptance intention. In addition, the acceptance conflict was judged as a factor of the mediation effect of the acceptance intention. From the perspective of companies that want to apply RPA, the theoretical and practical implications of business management are meaningful in that they can identify and respond to particularly important factors among perceived risks.

• Smart Media Journal
• /
• v.11 no.3
• /
• pp.54-61
• /
• 2022

With the increase in the types of information systems managed by public institutions and companies, a security certification system is being implemented in Korea to quickly respond to vulnerabilities that may arise due to insufficient security checks. The korea security evaluation system, such as ISMS-P, performs a systematic security evaluation for each category by dividing the categories for technical inspection items. NIST in the United States has developed SCAP that can create security checklists and automate vulnerability checks, and the security checklists used for SCAP can be written in OVAL. Each manufacturer prepares a security check list and shares it through the SCAP community, but it's difficult to use it in Korea because it is not categorized according to the korea security evaluation system. Therefore, in this paper, we present a mechanism to categorize the OVAL definition, which is an inspection item written in OVAL, to apply SCAP to the korea security evaluation system. It was shown that 189 out of 230 items of the Red Hat 8 STIG file could be applied to the korea security evaluation system, and the statistics of the categorized Redhat definition file could be analyzed to confirm the trend of system vulnerabilities by category.