• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.127-139
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• 2017

In recent 10 years the attention to social entrepreneurship has raised increasing among scholars, public sector, and community development. However less research has been conducted on how social entrepreneurship intention create a social enterprise and what factors can be affected to the social entrepreneurial intentions. This paper aims at contributing to identify the antecedents of entrepreneurial behavior and intentions. Especially, we have had a strong interests in compassion factors which haven't been used as important variables to encourage for people to do social entrepreneurial activities. Also, we try to find the moral obligation and perceived social support as antecedents of social entrepreneurial intentions. Finding show that compassion and moral obligation affect to the social entrepreneurial intention. Especially this study identify the external factor of society with the variable, perceived social support. Once individuals recognize that the infrastructure and societal positive mood on social entrepreneurship is friendly to social entrepreneurship, people have a tendency to try to do some social entrepreneurial activities. Only few empirical studies exist in this research domain. A study of more than 271 Korean college students has studied which personal traits predict certain characteristics of social entrepreneurs (such as having social vision or looking for social innovational opportunities). In addition to those antecedents, students experience is the critical factor that enabled continued expansion of the social entrepreneurial activities. The results of this research show how we can nurture social entrepreneurs and how we can develop the social environment to promote social entrepreneurship.

• 대한공업교육학회지
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• v.43 no.1
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• pp.1-19
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• 2018

As the BIM designing technology has been applied recently in the construction field, architectural design education in the field of work and university has been changing to 3D modeling. Nevertheless, architectural design & drafting education in the construction specialized vocational high school is not responding appropriately to change. Despite the fact that students need to have 3D modeling design ability, there is a very lack of 3D housing design instructional material that can satisfy the change. The purpose of this study is to develop BIM-based 3D modeling instruction material and apply to analyze effect on interest and task performance ability on Housing Design. The 3D modeling instruction material used in this study was developed through four stages of preparation, development, implementation and evaluation according to the PDIE model procedure. Also, the experimental design model for hypothesis testing was used nonequivalent control group pretest-posttest design. Based on the experimental design model, BIM-based 3D modeling instruction material was performed in the experimental group and 2D CAD-based standard instruction material was taught in the control group. Experimental treatment was conducted on the students of construction specialized vocatinonal high school, and applied to the subject of Professional Drafting in the 12 hours. Before and after the experimental treatment, the interest and task performance ability on Housing Design were tested. Based on the test results, we analyzed the effects of the 3D modeling instruction material through the independent samples t-test. The results of the study are as follows. First, BIM-based 3D modeling instruction material was developed of 'Housing Design & Drafting' unit on the subject of Professional Drafting in construction specialized vocational high school. Second, the application of 3D modeling instruction material has shown to be effective in improving students' interest. Third, the application of 3D modeling instruction material has shown to be effective in improving students' task performance ability on Housing Design.

• Journal of Distribution Research
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• v.13 no.1
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• pp.1-33
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• 2008

As the interest in the business-to-business(B2B) electronic commerce is increasing, many companies are participating in the B2B e-Marketplaces. The e-Marketplace is defined as the virtual market that many players take part in to transact. The e-Marketplace has an influenced on the manner in which organizational buyers and sellers interact. As a result, it is important to develop an understanding of the behaviors of firms that use these electronic marketplaces. The purpose of this study is to develop a comprehensive model for trust and commitment of B2B e-Marketplace and empirically to examine their structural relationships. Drawing from trust and commitment theory in the interorganizational relationship and B2B electronic commerce context, this study identifies network externality, interactivity, justice, quality of information sharing, institutional assurance as the determinants of trust and commitment of e-Marketplace. The proposed model hypothesized that (1) trust is a function of network externality, interactivity, justice, quality of information sharing, institutional assurance, (2) attitudinal and behavioral commitment is a function of trust, (3) behavioral commitment is a function of attitudinal commitment. The proposed model is tested using organizational-level survey data from 187 buying organizations that conduct business in MRO e-Marketplaces. The data were tested by reliability test, correlation analysis, exploratory factor analysis, confirmatory factor analysis and covariance structure analysis. The results indicate that (1) trust is influenced by network externality, interactivity, justice, institutional assurance, (2) attitudinal commitment and behavioral commitment is influenced by trust (3) behavioral commitment is influenced by attitudinal commitment. Also, the empirical results confirmed that trust play a strong, central role in determinging e-Marketplace commitment. The key theoretical contribution of this research is that it begins to extend interorganizational information system literature in areas such as B2B Internet e-Marketplace. Managerially, this study contributes tn the understanding of the role of B2B e-Markeplace providers in Internet situation. And Limitations of this study and guidelines for future researches are also discussed.

• Journal of Distribution Science
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• v.9 no.2
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• pp.73-81
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• 2011

This study is designed to examine the effects of information source effects of the word mouth have on the formed expectations for the private institution and to explore the formed expectations' effects on the actual sales of the educational service. Moreover, its purpose is in analyzing what medication effects the pre-conceived expectation has on selecting the educational service. After testing hypothesis, the results showed that the source effects of the information from word of mouth had a significant effect on the expectation factors, in terms of expertise, similarity, likability and familiarity expectation factors. However, it was found that effect was not significant for the truthfulness. The significant result was found on the expectation factors before visiting the private institution on selecting educational service, indicating a positive effect. As for the influence of source of the word of mouth information on selecting educational service, the results from the mediation effects of the expectation factors on selecting the educational service showed that for expectation factors, expertise had the partial mediation effect, truthfulness, perfect mediating effect, similarity, partial mediation effect, likability, perfect mediating effect, and familiarity, perfect mediating effect. A test of the mediating role of attribute expectations in the influence of WOM message source attributes on educational services choices showed the following: 1) It was proven that attribute expectations played a partial mediating role in the influence of expertise and similarity, respectively, on educational services choices. 2) On the influence of trustworthiness, likability, and familiarity on educational services choices, respectively, attribute expectations had a full mediation effect. This research differs from the previous ones, which focused only on consumer satisfaction with educational services offered by private educational institutions in that it covers not only the influences of both WOM source attributes and key component factors of educational services on both educational services choices and satisfaction with such services but also the influence of WOM source attributes on attribute expectations prior to the first visit to a particular private educational institutions, and in turn the influence of such attribute expectations on educational services choices. Most particularly, the significance of this study lies in the fact that in an effort to more clearly explain the causal relationship between WOM source effects and educational services choices a test of the mediating role of attribute expectations was conducted. Although the research seems simple, some theoretical implications can be drawn as follows: WOM message source effects on educational services choices were positive and moreover these positive impacts are likely to be reinforced by means of the mediating variable of attribute expectations.

• The Journal of Industrial Distribution & Business
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• v.8 no.6
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• pp.51-60
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• 2017

Purpose - This study aimed to investigate the correlation between the social activity of the elderly and recognition of family cohesion of the elderly who are exposed to the current aging society. In addition, the study has delved into the method of family cohesion improvement through the differences between groups based on the mediator effect of how the results have effects on the elderly's self-control capabilities. Research design, data, and methodology - This study has targeted the elderly who are attending the elderly university among users in seven community centers located in Seoul and Gyeonggi-do area. The study has also conducted a survey by the format of a half-structured questionnaire. It is aiming to investigate the elderly's family cohesion with children and their self-control capability, and understand their satisfaction of social activity to help successful elderly life. The study has suggested the following as mentioned. First, the study analyzed that the perceptual factor of family cohesion with children would be deducted based on advanced researches. Second, the influencing relationship would be analyzed through the relational analysis between the elderly's family cohesion and social activity. Results - The family cohesion with children has a significant effect on psychological happiness and it showed the influencing relationship with improvement of the elderly's self-control capability. Therefore, creating fellowship through meaningful conversation with children would be needed. In addition, various programs and consultant service would be offered to build healthy relationship between aged parents and their children. Through this, the elderly will be able to have not only better relationships with their family, but also increased psychological health and well-being as well. Conclusions - It is needed that not only supporting policies for children who take care of aged parents but also that the elderly who need long-term care could meet their children whenever they want through increased numbers of sanatoriums operated by cities and countries. In addition, the nation would offer financial and administrative support continuously so that people receive the benefits from sanatoriums located in the locality of children's residence beyond the elderly's residence. Moreover, social infra would be established 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.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.235-259
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• 2014

New product or new technology developments are directly linked to a firm's survival and thus their performance and improvement are gaining attention in the midst of rapidly changing business environment and aggravating competition. However, despite SMEs' significance in the national economy, they are limited in terms of size and resources in possession, so the government provides a variety of supports as a policy. According to a study on the organizational life cycle, a firm's limits and difficulties differ by growth stage, so the supports need to be tailored. Based on the data from 2,575 firms that responded to the "2011 SMEs Technological Statistics," how technological capability level and deviation in the R&D process affect the R&D sales performance was studied. The result of analysis revealed that the technological capability has a positive impact on the R&D sales performance. It was also learned that the relationship between deviation in the technological capability and R&D sales performance was moderated by the government support. For the hypothesis that the government support would have a different moderating effect by growth stage for the impact the technology level has on the R&D sales performance, the empirical analysis showed a different meaningful moderating effect for each growth stage. The theoretical implications of the study are that, instead of a simple relation of dynamics that does not take the growth stages into account, it suggested a more realistic causal relationship model that reflects the complex environment the SMEs are in and that the need for measuring and using the deviation in technological capability as a research variable has been justified. The practical implications are that the government policy for supports can be tailored to a growth stage and that the guidelines have been suggested to effectively use the government funding by encouraging the SMEs in a different growth stage to adapt to the customized policy.

• Korea journal of population studies
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• v.31 no.2
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• pp.21-44
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• 2008

The main purpose of this study is to examine the effect of the family instability on the elderly suicide and to examine the change over time. An analytical model of causal structure was set up with residence, family instability and socioeconomic level as explanation variables for this study. The cause of death statistics and micro-data from the vital statistics for 1995, 2000 and 2005 were used. Family instability was measured through divorce, and the rate of elderly(male and female) suicide as well as the suicide rate of the elderly and those in their 20-50's was used for this analysis to examine the effect of divorce. This study hypothesized about family instability and elderly suicide through a literature review. This paper presents maps of the suicide rate by using GIS, and then ANOVA and regression analysis are carried out to verify a difference in the elderly suicide rate affected by residence and divorce. Divorce rate appears in most areas with a high level centering around metropolises except the central inland area. The rate of elderly suicide which stayed in only specific regions with a high level has increased as time went by, and the graph leveled high in most regions except the southwestern coast. In addition, the elderly suicide rate was increased rapidly in rural areas for the most recent 10 years. This shows the seriousness of problems of the aged in rural areas. Through the periods of economic crisis, a sudden increase in divorce causes family instability, which increase the suicide rate increasing. Divorce affects the elderly suicide rate and the 20-50s' suicide rate in the same way, and the stronger effect goes to the elderly rather than those in their 20-50s'. Regarding elderly suicide, the divorce has a different effect by gender, affecting males more than females. With these facts, we can draw the conclusion that family instability has the most significant effect on elderly males' suicide.

• International Commerce and Information Review
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• v.4 no.2
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• pp.253-277
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• 2002

Nowaday, the advanced technology in information and communication has been leading the dramatic change of transaction paradigm expansion from physical basis to electronic one. As we know, financial services support most of financial exchange between two business parties. So the expansion of electronic transaction paradigm affects to every financial institutions which provide financial services. Thus, financial institutions have accepted e-Finance systems and providing internet financial services to live in the competition. The purpose of this study is to contribute the qualitative enhancement of its customer service, rapid diffusion and accurate strategy establishment for e-Finance industry in the user side. Through the literature review and factor and reliability analysis, this study selects six diffusion factors such as efficiency of perceived e-Finance, reliability and safety of e-Finance in perceived e-Finance itself's characteristic; confidence, technical factors and the customer service quality of e-Finance system in perception on e-Finance System; inclination to innovation in the personal characteristic. According to result of hypothesis verification by using logistics regression analysis, technical factors and the customer service quality of e-Finance system in perception on e-Finance System and inclination to innovation in the personal characteristic gave statistically positive effect to the diffusion decision at the significant level 0.05 and 0.01. However efficiency of perceived e-Finance, reliability and safety of e-Finance in perceived e-Finance itself's characteristic didn't affect to diffusion decision and confidence of e-Finance system in perception on e-Finance System didn't have any statistical significancy. This study can be used as a basic material for the forward empirical study of diffusion factors in the user side and be able to apply to company and government policy making or embodiment, determination for customer service quality degree of financial institutions. But this study has some limitations like didn't touch satisfaction factors and its effect, only deal domestic customers and didn't use multi-regression analysis.

• Journal of The Korean Association For Science Education
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• v.38 no.4
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• pp.541-553
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• 2018

The purpose of this study is to explore the relationship between epistemic goals, epistemic considerations and complexity of reasoning of science high school students in an open inquiry and to explore the context on how open inquiry compares with the characteristics of an authentic scientific inquiry. Two teams were selected as focus groups and a case study was conducted. The findings are as follows: First, the contexts, such as 'sharing the value for the phenomenon understanding, reflection on the value of the research, task characteristics that require collaboration and consensus, and sufficient communication opportunities,' promote epistemic goals and considerations. On the other hand, contexts such as 'lack of opportunity for critical review of related literature and environmental constraints' lowered epistemic sides. Second, epistemic goals and considerations influenced the reasoning complexity. The goal of 'scientific sense making' led to reasoning that pose testable hypotheses based on students' own questions. The high justification considerations led to purposely focusing attention to the control designs and developing creative experimental know-how. The high audience considerations led to defending their findings through argumentation and suggesting future research. On the other hand, the goal of 'doing the lesson' and the low justification considerations led to reasoning that did not interpret the meaning of the data and did not control the limit of experiment. The low audience considerations led to reasoning that did not actively defend their findings and not suggest future research. The results of this study suggest that guidance should provide communication and critical review opportunities.