• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.81-96
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• 2020

The purpose of this study is to investigate the impact of entrepreneurial mentoring as an effective support method to increase the awareness and entrepreneurial intention of university students. Therefore, the mediating effect of social support and entrepreneurial self-efficacy was demonstrated in the relationship between entrepreneurial mentoring and entrepreneurial intention. As a result of the analysis, the positive role of entrepreneurial mentoring was confirmed as an influencing factor to increase the intention of young prospective entrepreneurs to set up and increase their expectations for social support. Specifically, entrepreneurial mentoring had a significant positive effect on entrepreneurial intention, social support, and entrepreneurial self-efficacy. Social support had a significant positive effect on entrepreneurial self-efficacy and entrepreneurial intention, respectively, and partially mediated the relationship between entrepreneurial mentoring and entrepreneurial intention. Entrepreneurial self-efficacy had a positive effect on entrepreneurial intention, and entrepreneurial self-efficacy fully mediated between entrepreneurial mentoring and entrepreneurial intention. Through this study, it was proved that entrepreneurial mentoring is an important factor that positively influences entrepreneurial intention, social support, and entrepreneurial self-efficacy. In addition, by identifying the effect of social support on entrepreneurial self-efficacy, it was confirmed that the individual's self-confidence and efficacy increased when they recognized the belief or utilization of social support. Finally, by confirming that entrepreneurial mentoring has a positive effect on social support and that social support mediates between entrepreneurial mentoring and entrepreneurial intention, the entrepreneurial mentoring program raises the entrepreneurial intention to start a business and helps founders to social support. It has been confirmed that it can be used as a way to raise the awareness and effect of startup supporting policy in practice as well.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.23-45
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• 2020

Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

• Management & Information Systems Review
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• v.37 no.1
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• pp.75-101
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• 2018

Social enterprise in Korea has faced with many problems such as small size, management capability, lack of technology and weak ability to obtain resources despite its quantitative growth, raising concern over sustainability of social enterprises. Despite such tough environment, unique feature of social enterprise, differentiated from commercial enterprise is that it has clear social mission. In addition, social enterprise has the organizational feature in that vulnerable social group of workers coexists with ordinary workers, and plays a role of helping independence of vulnerable social group. Due to this feature, successful organizational socialization of members in social enterprise is a very important feature. Based on assumption that social mission of social enterprise can be utilized as the unique competitiveness of social enterprise through vision-sharing in the organization, and may give positive effects on successful organizational socialization of organization members, this study aims to conduct empirical research on relationship between vision-sharing and organizational socialization and to explore mediation effects of organizational health as organizational environmental element in relationship between vision sharing and organizational socialization. This study was conducted on 156 employees working at social enterprises. As a result of study, first, vision sharing is found to have positive effects on organizational socialization at social enterprises. Second, vision sharing in social enterprise has positive effects on organizational health. Third, vitality and community-oriented in social enterprise are found to have mediation effects among lower elements of organizational health in relationship between vision sharing and organizational socialization. In conclusion, it is confirmed that the more visions of organization are shared, the more members recognize their organization healthy, resulting in successful organizational socialization. This study is meaningful in that it presents the plans for successful organizational socialization of members of social enterprise including vulnerable groups and that it is the empirical study on plans of social enterprise on human resource management.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.221-233
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• 2019

In Korea, small and medium sized domestic enterprises(SMEs) play an pivotal role in the national economy, accounting for 99.9% of all enterprises, 87.9% of total employment, and 48.3% of production. and SMEs was driving a real force of the development of national economy in many respects such as innovation, job creation, industrial diversity, balanced regional development. Despite their crucial role in the national development, most of SMEs suffer from a lack of R&D capabilities and equipments as well as funding capacity. Public R&D institutes can provide SMEs with valuable supplementary technological knowledge and help them build technological capacity. so, In order to effectively support SMEs, government and public R&D institutes must be a priority to know about the factors influencing the performance related to technology transfer and technological collaborations. In particular, SMEs are not only taking up a large portion of the national economy, but also their influence in politics and economy so strong that raising the competitiveness of small and medium-sized companies is a national policy goal that must be achieved in order to achieve sustained economic growth. For this reason, it is necessary to look specifically at the relationship between concepts such as the environment, strategy, and organizational culture surrounding the enterprise to enhance the competitiveness of SMEs. The paper analyzes 665 companies to find out which organizational culture affects their performance by classification and type of business of SMEs. This study demonstrated that when SMEs seek consistency in their external environment, strategies, and organizational structure to maintain their continued competitiveness. According to three-way analysis of variance (3-way ANOVA) indicates that classification of industries in SMEs has statistically significant main effects, but the type of business and organizational culture do not have significant effects. However, the company's organizational performance (operating profit) of SMES were found to differ significantly in comparison between groups according to classification standards of industries, and therefore adopted some parts. In addition, an analysis of the effect of interaction between the three independent variables of small and medium-sized enterprises has shown that there are statistically significant interaction effects among classification, types of business, and organizational cultures. The results shows that there is an organizational culture suitable for each industry classification and type of business of an entity, and is expected to be used as a basis for establishing promotion policies related to the incubation and commerciality of small and medium-sized venture companies in the future.

• Journal of the Daesoon Academy of Sciences
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• v.39
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• pp.137-174
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• 2021

The main theme of this paper centers on how to promote Three Major Works of Daesoon Jinrihoe, charity aid, social welfare, and education projects, during the unification period. Determining the best methods of promotion is crucial because the Three Major Works must be carried out after unification, and the works must remain based on the practice of the philosophy of Haewon-sangsaeng (the Resolution of Grievances for Mutual Beneficence). The idea of Haewon-sangsaeng is in line with the preface of the U.N. Charter and the aim of world peace. North Korean residents are suffering from starvation under their devastated economy, which is certain to face a crisis of materialistic deficiency during reunification. In this study, the peaceful unification of Germany, unification under a period of sudden changes in Yemen, and the militarized unification of Vietnam were taken as case studies to diagnose and analyze the conditions which would affect the implementation of the Three Major Works. These three styles of unification commonly required a considerable budget and other forms of support to carry out the Three Major Works. Especially if unification were to occur after a period of sudden changes, this would require solutions to issues of food, shelter, and medical support due to the loss of numerous lives and the destruction of infrastructure. On the other hand, the UNHCR model was analyzed to determine the implications of expanding mental well prepared and sufficiently qualified professionals, reorganizing standard organizations within complex situations, task direction, preparing sufficient relief goods, budgeting, securing bases in border areas with North Korea, and establishing networks for sponsorship. Based on this, eight detailed tasks in the field of system construction could be used by the operators of the Three Major Works to prepare for unification. Additionally, nine tasks for review were presented in consideration of the timing of unification and the current situation between South and North Korea. In conclusion, in the event of unification, the Three Major Works should not be neglected during the transition period. The manual "Three Major Works during the Unification Period" should include strategic points on organizational formation and mission implementation, forward base and base operation, security and logistics preparation, public relations and external cooperation, safety measures, and transportation and contact systems.