• Journal of Service Research and Studies
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• v.4 no.2
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• pp.85-95
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• 2014

This research was tried for developing the model on the service science research scope. The suggested model is composed as 3 layer dimensional reference model. The first axis is on the perspective of service life cycle. Another second axis is on the service research characteristics or types. And last axis is also on the service systems. At here, service life cycle is related to service strategy, service development, and service implementation of operation. The service research characteristics or types is related to service basic research, service application research, and service convergence research. Lastly, the service systems is related to the needs analysis, service competence and service resources. This model can be applicable to include the various research topic or theme related on the service sciences. In the future, some enhanced models from researchers or practices from service providers, related on the service science research scope, are expected.

• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.89-102
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• 2018

In this paper, the security characteristics of healthcare institutions were derived through analysis of previous research, and the characteristics and status of small and medium sized healthcare institutions were surveyed through field surveys of small and medium sized healthcare institutions. The security management evaluation model for small and medium sized healthcare institutions was designed and verified based on the security characteristics of small and medium healthcare institutions. For the design, we compared and analyzed existing security management system and evaluation certification system of healthcare institutions. We also confirmed the proposed security management evaluation model and the degree of sharing. In addition, we conducted validation for the statistical verification of the proposed security management evaluation model for small and medium sized healthcare institutions, and we performed the relative priority analysis through AHP analysis to derive the weight for each item. The result of this study is expected to be used as a standard of security management evaluation model that can be practiced in small and medium sized healthcare institutions.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.209-220
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• 2016

Although organizations are providing information security policy, education and support to guide their employees in security policy compliance, accidents by non-compliance is still a never ending problem to organizations. This study investigates the factors that influence employees' information security policy compliance behavior using elements of Triandis model. We analyzed the relationships among Triandis model's factors using PLS(Partial Least Squares). The result of the hypothesis tests shows that organization can induce individual's information security policy compliance intention and behavior by information security policy and facilitating conditions that support it, and proves the importance of members' expected value, habit and affect about information security compliance. This study is significant in a way that it applies Triandis model in the field of information security, and presents direction for members' information security behavior, and will be able to provide measures to establish organization's information security policy and increase members' compliance behavior.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.467-474
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• 2023

After the revision of the Software Promotion Act, small and medium-sized enterprises (SMEs) with little experience in e-government projects began to participate in public projects. Accordingly, the government introduced the public Project Management Office (PMO) in July 2013 to reduce the risks and secure the quality of informatization business, and the public PMO is still spreading. However, the public PMO service currently experiences sluggish business, such as low-priced orders, due to cut-throat competition, and thus needs improvement plans. In this research, we establish a research model for quality factors of public PMO services that can be considered for the improvement plans, measure and evaluate quality factors based on the model, and then analyze the impact of service quality on customer satisfaction and customer loyalty. For that, we measure quality factors using the SERVPERF model for those who have used public PMO services, establish a structural equation research model, and empirically analyze and evaluate the impact of quality factors. Lastly, we suggest improvement plans and implications for public PMO services.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.421-432
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• 2022

The purpose of this study was to analyze whether there are country differences in the intention to use Welfare Technology among older adults. Based on Technology Acceptance Model and Structural Equation Model, we surveyed total 334 older adults aged 65 and over living in Korea and the U.S. and analyzed the path differences between the perceived ease of use, perceived usefulness, attitude toward use, and intention to use of Welfare Technology between two countries. Results showed that the effect of 'perceived usefulness' on 'attitude toward use' was the highest in Korea at 0.74 (p<0.001), and 'Perceived ease of use' in 'Perceived Usefulness' in the United States at 0.75(p<0.001), with the differences being statistically significant. Findings indicate that 'Long-term Orientation' may explain the differences between the two countries. Practical and policy implications are presented in conclusion.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.249-255
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• 2022

This study proposed an analysis framework for real-time prediction of CNC processing defects using machine learning-based models that are recently attracting attention as processing defect prediction methods, and applied it to CNC machines. Analysis shows that the XGBoost, CatBoost, and LightGBM models have the same best accuracy, precision, recall, F1 score, and AUC, of which the LightGBM model took the shortest execution time. This short run time has practical advantages such as reducing actual system deployment costs, reducing the probability of CNC machine damage due to rapid prediction of defects, and increasing overall CNC machine utilization, confirming that the LightGBM model is the most effective machine learning model for CNC machines with only basic sensors installed. In addition, it was confirmed that classification performance was maximized when an ensemble model consisting of LightGBM, ExtraTrees, k-Nearest Neighbors, and logistic regression models was applied in situations where there are no restrictions on execution time and computing power.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.37-52
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• 2013

Prior to full-scale implementation of smart grid, the Korean government is conducting a smart grid testbed in Jeju island. However, the participants of the ongoing program are skeptical about the success of the expansion of smart grid. The concern rises from various reasons; the limits of the Korean electricity market mainly led by both the government and KEPCO, high stability and reliability of the existing electricity grid, insufficient utilization of renewable energy, and public fear of raised electricity bills. Five key issues in regards to facilitating the Korean smart grid market are extracted and evaluated. The issues are conflict of interest among participants, the effect of introducing real-time pricing, lack of customer participation of demand response, and absence of business models.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.1-12
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• 2022

This study analyzed the impact of supply chain management (SCM) and e-SCM on change acceptance capability, information sharing capability, partnership management capability, and business performance. This study and analysis were conducted targeting the employees of companies that introduced SCM and e-SCM in the metropolitan area and provinces. Change Acceptance Capability, Information Sharing Capability, Partnership Management Capability and Business Performance and the degree of relationship, between outcome variables, which are characteristic factors of SCM, were analyzed through a research model. Based on the survey results, nine research hypotheses were postulated, and the reliability, validity, and importance were examined. The research results supported by the research hypothesis can be summarized in two ways as follows. First, the company's capabilities were analyzed as major variables such as Acceptance Capability, Information Sharing Capability, Partnership Management Capability, and Business Performance. Second, the degree of relationship was analyzed in detail by classifying the necessary competencies in SCM into 4 categories, not the competencies of a specific company. This study is expected to provide appropriate information to SCM-related companies.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.127-134
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• 2022

With the recent advent of the Fourth Industrial Revolution, the importance of the platform business is increasing. Most global companies with high market value are known as platform companies. This change is changing the business model of companies in various industries. However, existing studies have mainly focused on information-intensive industries and large companies. Therefore, this study attempted to analyze the case of Everybot, which is successfully growing in the service robot industry. Everybot is known as a company that produces robot cleaners. However, according to the result, the company has focused on developing autonomous driving technologies and pursuing platform-based business strategies rather than product-based ones. The results of this study have theoretical and practical implications by showing how domestic small and medium-sized robot companies apply platform-based business strategies to achieve long-term growth with gaining leadership in the personal service robotics market.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.37-44
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• 2020

Due to the recent COVID 19 pandemic, public institutions are increasingly working from home. Working in public institutions is rapidly changing into a smart work environment where time and space constraints disappear. However, many public institutions currently lack a security model for an efficient smart work environment due to the physical network separation system that separates the Internet network and the business network. Therefore, in this paper, we describe the current limitations for implementing smart work in a physical network separation environment of public institutions, and propose a security model necessary for a work environment to supplement them. As a related study, explain SSL VPN and explain smart work business model through security model research of SDP (Software Defined Perimeter), RDP (Remote Desktop Protocol), and VDI (Virtual Desktop Infrastructure) to overcome the security limitations of SSL VPN. As a result, we intend to propose a security model for a smart work environment suitable for public institutions while complying with the physical network separation security guide.