• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.7-14
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• 2019

With the development of information and communication technology, we have been able to access and manage documents containing corporate information anytime and anywhere using smart devices. As the work environment changes to smart work, the scope of information distribution is expanded, and more efforts are needed to manage security. This paper proposes a file sharing system that enables users who have smart devices to manage and share files through mutual cooperation. Proposed file sharing system, the user can add a partner to share files with each other when uploading files kept by spliting the part of the file and the other uses an algorithm to store on the server. After converting the file to be uploaded to base64, it splits it into encrypted files among users, and then transmits it to the server when it wants to share. It is easy to manage and control files using dedicated application to view files and has high security. Using the system developed with proposed algorithm, it is possible to build a system with high efficiency even for SMEs(small and medium-sized enterprises) that can not pay much money for security.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.53-60
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• 2018

With the development of information and communication technology, we have been able to access and manage documents containing corporate information anytime and anywhere using smart devices. As the work environment changes to smart work, the scope of information distribution is expanded, and more efforts are needed to manage security. This paper proposes a file sharing system that enables users who have smart devices to manage and share files through mutual cooperation. Proposed file sharing system, the user can add a partner to share files with each other when uploading files kept by spliting the part of the file and the other uses an algorithm to store on the server. After converting the file to be uploaded to base64, it splits it into encrypted files among users, and then transmits it to the server when it wants to share. It is easy to manage and control files using dedicated application to view files and has high security. Using the system developed with proposed algorithm, it is possible to build a system with high efficiency even for SMEs(small and medium-sized enterprises) that can not pay much money for security.

• Journal of Family Resource Management and Policy Review
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• v.24 no.4
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• pp.1-20
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• 2020

This study aims to improve the family friendly certification system by analyzing the actual experience of family friendly certified companies with the certification's incentives and their demand for new incentives. We analyzed 2018 survey data of family friendly certified company incentives and interviewed representatives from 9 family friendly certified companies. First, the use of incentives differs according to the level of corporate classification, number of employees, industry, certification continuation training, and incentive impact. Current family friendly certification incentives indicate that the utilization rate of incentives is high when small and medium sized enterprises (SMEs) with less than 300 employees have newly received family friendly certification. Second, the use of the certification mark significantly differs by industry, certification duration, and incentive impact. Interviews with the companies' family friendly certification managers revealed that the incentives that companies use mainly are the Public Procurement Service bid points and priority immigration service. Large corporations hope for strong incentives, such as the National Tax Service's deferred tax investigation, interest rate cuts for bank loans, and corporate tax cuts. Lastly, the family friendly certification mark is a representative incentive used by 60% of family friendly certified companies. For the qualitative growth and stabilization of the family friendly certification system, the family friendly certification mark should be improved to become a more attractive incentive.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.473-488
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• 2021

The enterprise resource planning (ERP) system is a standardized and advanced business process that many companies are implementing now-a-days through customization. However, it affects the efficiency of operations as these customizations are based on uniqueness. In this study, we analyzed the impact of customized modules and processing time on customer service request (CSR), by utilizing the stacked CSR data during the construction and operation of ERP, focusing on small and medium-sized enterprises (SMEs). As a result, a positive correlation was found between unit companies and the length of ERP implementation; ERP modules and the length of ERP implementation; ERP modules and unit companies; and the type of ERP implementation and ERP module. In terms of CSR, a comparison of CSR processing time of CBO (customized business object) module and STD (standard) module revealed that while the five modules did not display statistically significant differences, one module demonstrated a statistically very significant difference. In sum, the analysis indicates that the CBO-type CSR and its processing cost are higher than those of STD-type CSR. These results indicate that companies planning to implement an ERP system should consider the ERP module and their customization ratio and level. It not only gives the theoretical validity that should be considered as an indicator for decision making when ERP is constructed, but also its implications on the impact of processing time suggesting that the maintenance costs and project scheduling of ERP software must also be considered. This study is the first to present the degree of impact on the operation and maintenance of customized modules based on actual data and can provide a theoretical basis for applying SW change ratio in the cost estimation of ERP system maintenance.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.2
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• pp.134-143
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• 2022

'Data' is the key component that leads Digital Healthcare. Most of the Healthcare Data is personal information of data subject and includes Sensitive Information. It is very important for companies to use data lawfully and safely during the lifecycle of data collection, use, provision, and destruction. However, small and medium-sized enterprises(SMEs), ventures, and startups, which account for 78% of the Healthcare Services Industry, have had difficulties in performing tasks related to personal information protection. The personal Information Protection Act's requirements depending on the purpose of using Personal Information are different. Also, the requirements for each personal information lifecycle are varied. Therefore, this study suggests six purposes for companies to use healthcare data. It examines the considerations during the lifecycle in which personal information is collected to be destroyed.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.292-300
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• 2022

This study aims to improve the situation in which accurate job information for small and medium-sized enterprises is not known and it is difficult to identify jobs that meet the preference criteria from the perspective of the 'employer brand'. To this end, through a hierarchical regression analysis of 700 young job seekers, the factors affecting the intention to get a job centered on five value factors (Interest Value, Social Value, Economic Value, Development Value and Application Value) were identified by reflecting the brand categorization theory. As a result of the analysis, it was confirmed that young job seekers are more interested in work culture, environment, and utilization of their majors, which directly affect job seekers, rather than characteristics of companies such as talent development, products, services, and management, and are influenced by their intention to work. This suggests that the job policy for SMEs needs to be changed from the existing quantitative support-centered to a qualitative improvement that strengthens the use of platform-centered job information.

• Smart Media Journal
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• v.10 no.4
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• pp.28-34
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• 2021

Drape is one of the factors that determine the shape of clothes and is one of the very important factors in the textile and fashion industry. At a time when non-face-to-face transactions are being activated due to the impact of the coronavirus, more and more companies are asking for drape value. However, in the case of small and medium-sized enterprises (SMEs), it is difficult to measure the drape, because they feel the burden of time and money for measuring the drape. Therefore, this study aimed to generate a drape image for the material property value input using a conditional adversarial neural network through 3D simulation images generated by measuring digital properties. A drape image was created through the existing 736 digital property values, and this was used for model training. Then, the drape value was calculated for the image samples obtained through the generative model. As a result of comparing the actual drape experimental value and the generated drape value, it was confirmed that the error of the peak number was 0.75, and the average error of the drape value was 7.875

• Korea Trade Review
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• v.43 no.5
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• pp.93-113
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• 2018

The purpose of the study is to investigate whether monetary and non-monetary incentives of exports incentives affect the formation of trust between exporters and importers. Data was collected from 110 Korean SMEs(small and medium-sized enterprises) that were engaged in exporting. 'Three hypotheses were proposed and tested using the data collected. Findings include monetary incentives are not related to trust, but non-monetary incentives are positively related to trust. The findings suggest that exporters should focus on non-monetary incentives, rather than monetary incentives, to build trust with importers. Non-monetary incentives signal that exporters intend to have long-term relationship with importers, but monetary incentives do not. Trust was also found to mediate the relationship between non-monetary incentives and importer' role performance. Non-monetary incentives affect importer's role performance through trust formed between importer and exporter.

• 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.

• Korea Trade Review
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• v.47 no.6
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• pp.335-353
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• 2022

There are two aspects of digital trade: the digitalisation of goods/services being traded and the digitalisation of the transactional act. Digital data (i.e. machine-readable industrial data and transactional data) is the major driving force for both aspects of digital trade. Digital data is a non-rivalrous input, whether for production or marketing activities, and is thus able to be used by many firms or government agencies without limiting the use of others. Digital platforms provide online infrastructure for the interactions between groups, for instance, consumers and producers. The externality effect refers to the situation in which prosperity in one group on a given platform will improve the returns of other groups on the same platform. In the era of the data-driven economy, strategic trade policy can involve data-related policies. The major objective of these policies is to improve the competitiveness of domestic firms. For instance, firms may be subsidised if they use cloud services provided by specific platforms. This strand of strategic trade policies might be useful for increasing the competitiveness of small-and medium-sized enterprises (SMEs) via the digitalisation of production/marketing processes. Alternatively, strategic trade policy may also exploit the externality effect via platform economy-related policies. Further, some countries may form data coalitions to facilitate cross-border data flow. This paper uses cases in Asian countries to illustrate which role these strategic trade policies can play in the digital economy.