• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.25-32
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• 2014

Action learning takes advantage of innovative management tool but not more to small business than five employees. It is difficult to utilize to them. As a case to solve this problem, this study investigates GNTECH(Gyeongnam National University of Science and Technology)'entrepreneurship training and consulting convergence program. This program is applied to the development and operation of the start-up entrepreneur. Project participants are three groups those are graduate students, undergraduate students and professor. Professor has a role as facilitater. This case has the following meanings. First, by participating in entrepreneurship courses, undergraduate students experience entrepreneurship and mindset can be expected. Second, the start-up entrepreneur has the opportunity to directly verify the item. The consumer's perspective is the use of collective intelligence through team activities carried out in the process. Third, students of graduate and undergraduate has a chance learning facilitator function from professor. The results of this study provide conjunction between university educational programs based on entrepreneurship.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.99-106
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• 2015

This is a case study on organizational learning with action learning. It targets B industry belonging to Shoe manufacturer. We apply action learning techniques as consulting skills to promote the organization of specific learning activities. Action Learning solves the challenges faced by the company with the ability to enhance the member while participating in the program. Therefore, it is a good methodology to overcome the uncertainty environment. Through a case study, in the maturing process of a learning organization can see the conditions that are necessary for the ongoing maintenance of that identity, organizational learning activities. Findings to the continued operation of the enterprise learning organization suggest the establishment of a learning organization, and direction and strategic importance. Systems and learning environments should be built and then repeat the process of practice to master the new learning organization. It suggests to learn a new organizations operating methods that require repetition of the course of action.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.171-179
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• 2019

This study was to identify the influence of knowledge acquisition on creativity in an organization. We selected the learning orientation among variables related to the acquisition of knowledge and analyzed the moderating effects of motivation in the mediating process of learning orientation, professional knowledge, creative thinking ability, and the relationship between them. To this end, a research model and hypothesis were established through literature studies, and 296 questionnaires were distributed and collected from Daegu and Gyeongbuk to test hypotheses. As a result of the verification through hierarchical regression analysis, it was confirmed that learning orientation has a positive effect on creative thinking skill, and expertise has a mediating effect. And in this mediation relationship, the moderating effect of motivation was confirmed. These findings are suggestive by checking the relationship between the elements in the expression of creativity in detail and identifying the influence of learning orientation. It will be able to provide guidelines for organizational management by explaining the process of creativity through the development of knowledge.

• Journal of Agricultural Extension & Community Development
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• v.17 no.3
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• pp.385-418
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• 2010

This study aimed to find the way to help participants build capacity in rural development projects, through some case studies and Q-methodology. Decentralization and diffusion of bottom-up approach in rural development projects are the main contextual factors in this study. With the ethos of bottom-up approach in rural development, the human and financial inputs for capacity building increased drastically in the area of rural development policy. Four types of capacity building methods were identified in this study; training, consulting, learning organization, and forum. Theses methods were used more at planning step than implementation step in rural development projects. The government's effort to strengthen leadership in rural areas should be continued. The existing government's training program for capacity building had better include more diverse clients. Actions for capacity building should be centered on the needs of the participants in fields. Especially, organizing learning units is very important. Governments' rural development policy should establish the proper process which can help local actors plan their projects with enough time span.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.331-341
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• 2017

This study analyzed cases of teaching consulting in the cyber university field and activated it in a remote university in the right direction to contribute to the development of high quality contents. This study analyzed the instructional consulting data of the Center for Content Quality Management at A Cyber University in Chungnam area and interviewed researchers working at the center using the phenomenological approach based on the data. This study showed that the professors participating in instructional consulting had many problems, but they were relatively active in improving the quality of the lectures. They wanted to know the teaching methods in the unfamiliar environment of remote universities. In addition, the researchers had difficulty in delivering feedback to the instructor through the process of exploring images taken several times with the objective framework of lecture evaluation. To allow better communication, it was necessary to form rapport between the instructor and researcher. Unlike general universities, cyber universities have features and limitations in that they only take cameras in the classroom without learners and proceed with class consulting. Therefore, the teachers have a feeling of burden about shooting and recording, but they are less than general university teachers, and are more willing to engage in class consultation more actively. In this study, the results of the research was discussed and the proposal of cyber universities' instruction consulting and the effective plan is proposed.

• The Journal of Information Systems
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• v.30 no.1
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• pp.65-84
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• 2021

Purpose Based on the development of artificial intelligence and big data technologies, the RegTech has been emerged to reduce regulatory costs and to enable efficient supervision by regulatory bodies. The word RegTech is a combination of regulation and technology, which means using the technological methods to facilitate the implementation of regulations and to make efficient surveillance and supervision of regulations. The purpose of this study is to describe the recent adoption of RegTech and to provide basic examples of applying RegTech to capital market regulations. Design/methodology/approach English-based ontology and deep learning technologies are quite developed in practice, and it will not be difficult to expand it to European or Latin American languages that are grammatically similar to English. However, it is not easy to use it in most Asian languages such as Korean, which have different grammatical rules. In addition, in the early stages of adoption, companies, financial institutions and regulators will not be familiar with this machine-based reporting system. There is a need to establish an ecosystem which facilitates the adoption of RegTech by consulting and supporting the stakeholders. In this paper, we provide a simple example that shows a procedure of applying RegTech to recognize and interpret Korean language-based capital market regulations. Specifically, we present the process of converting sentences in regulations into a meta-language through the morpheme analyses. We next conduct deep learning analyses to determine whether a regulatory sentence exists in each regulatory paragraph. Findings This study illustrates the applicability of RegTech-based ontology and deep learning technologies in Korean-based capital market regulations.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.121-128
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• 2021

In order to design a real time big data collection and analysis system of manufacturing data in a smart factory, it is important to establish an appropriate wired/wireless communication system and protocol. This paper introduces the latest communication protocol, OPC-UA (Open Platform Communication Unified Architecture) based client/server function, applied user interface technology to configure a network for real-time data collection through IoT Integration. Then, Database is designed in MES (Manufacturing Execution System) based on the analysis table that reflects the user's requirements among the data extracted from the new cutting process automation process, bush inner diameter indentation measurement system and tool monitoring/inspection system. In summary, big data analysis system introduced in this paper performs SPC (statistical Process Control) analysis and visualization analysis with interface of OPC-UA-based wired/wireless communication. Through AI learning modeling with XGBoost (eXtream Gradient Boosting) and LR (Linear Regression) algorithm, quality and visualization analysis is carried out the storage and connection to the cloud.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.65-76
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• 2022

Recently, not only traditional statistical techniques but also machine learning algorithms have been used to make more accurate bankruptcy predictions. But the insolvency rate of companies dealing with financial institutions is very low, resulting in a data imbalance problem. In particular, since data imbalance negatively affects the performance of artificial intelligence models, it is necessary to first perform the data imbalance process. In additional, as artificial intelligence algorithms are advanced for precise decision-making, regulatory pressure related to securing transparency of Artificial Intelligence models is gradually increasing, such as mandating the installation of explanation functions for Artificial Intelligence models. Therefore, this study aims to present guidelines for eXplainable Artificial Intelligence-based corporate bankruptcy prediction methodology applying SMOTE techniques and LIME algorithms to solve a data imbalance problem and model transparency problem in predicting corporate bankruptcy. The implications of this study are as follows. First, it was confirmed that SMOTE can effectively solve the data imbalance issue, a problem that can be easily overlooked in predicting corporate bankruptcy. Second, through the LIME algorithm, the basis for predicting bankruptcy of the machine learning model was visualized, and derive improvement priorities of financial variables that increase the possibility of bankruptcy of companies. Third, the scope of application of the algorithm in future research was expanded by confirming the possibility of using SMOTE and LIME through case application.

• Journal of Korean Home Economics Education Association
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• v.34 no.3
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• pp.101-116
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• 2022

This study aims to apply the problem-based learning method to a college course on 'Consumer Studies' in a teacher education program. The participants of this study were 27 undergraduate students who were enrolled in the course. The PBL class was implemented for seven weeks using two problems: proposing special lectures on economic concepts and financial consulting. The effectiveness of PBL was analyzed through self-reflective journals, self-assessment, and a learning satisfaction survey of students. The result of this study was as follows. Students achieved the learning objectives and strengthened their collaboration and communication skills with team members during the PBL process. Moreover, students improved their self-directed learning and problem-solving ability through the PBL class. The results of self-assessment, in terms of learning task performance, active interaction, and self-directed learning were generally high at 4.63 points. In addition, the overall learning satisfaction level was very high, with a score of 4.75. The results will provide effective information on PBL classes to instructors and prospective teachers and will be used as data for learner-centered PBL classes.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.57-74
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• 2017

The Electronic Shelf Label (ESL) is an alternative to the paper price label attached to merchandise shelves and is attracting attention as a retail IoT infrastructure that will lead the innovation of offline retail outlets. In general, when introducing a substitute product, the company tends to consider the financial factors such as the efficiency of the investment cost compared to the existing product or the reduction of the operating cost. However, considering only financial factors in the decision-making process, it may not properly reflect the various values associated with corporate strategy and the requirements of stakeholders. In this study, 8 evaluation items (Investment Cost, Operating Cost, Quality Level, Customer Management, Job Efficiency, Maintenance, Functional Expandability, and Store Image) based on BSC's 4 perspectives (Financial, Customer, Internal Business Process, Learning & Growth), and using AHP (Analytic Hierarchy Process) to measure the priorities of evaluation items for domestic small supermarket employees. As a result of the research, priority was given in order of Customer, Learning & Growth, Internal Business Process, and Financial aspects among the evaluation items for adopting the price label, and the electronic price label was supported with higher importance than the paper price label. In contrast to the priorities of the financial aspects of most prior studies, the items of Learning & growth and customer perspectives have relatively high priorities. In particular, respondents classified by job group, The priorities of the 8 evaluation items were different among the groups. These results are expected to provide implications for both companies (retail outlets) and ESL providers (manufacturers and service providers) who are considering the introduction of ESL.