• 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 the Korea Convergence Society
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• v.9 no.10
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• pp.285-291
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• 2018

The purpose of this study is to identify the effects of consulting participation level, consulting specialty, and consulting capability on consulting intelligibility and consulting performance for Small Medium-sized Enterprises (SMEs).This study performed statistical analysis such as AMOS 22.0 to conduct exploratory factor analysis and measurement model in order to identify interrelationship among the consulting participation level, consulting intelligibility and consulting performance. The results of our study are as follow. Firstly and secondly consulting participation level, consulting specialty and consultant capability has positive effect on consulting performance and consulting intelligibility. Thirdly, consulting intelligibility has non positive effect on consulting performance. According to this survey, it is important to make good consulting performance through consulting participation level, specialty and capability. But the consulting intelligibility is not effected on consulting performance.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.415-430
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• 2023

The Material·Part·Equipment industry is mostly an industry centered on small and medium-sized enterprises (SMEs) and is an important industry for revitalizing the local economy, which is the source of manufacturing competitiveness. In this study, we tried to derive the implications necessary for the development of the Material·Part·Equipment industries by analyzing the competitiveness of the Material·Part·Equipment industries in the Chungcheong region. To this end, we analyzed the industrial development stage and competitiveness of each region (Daejeon, Sejong, Chungnam, and Chungbuk) based on business scale factor, industrial growth rate, industrial specialization, and regional competitiveness for the Material·Part·Equipment industries in the Chungcheong region. Using data such as the number of employees, the number of businesses, and the amount of production in 2014 and 2019, significant industrial groups by region were identified considering the level of industrial specialization and regional competitiveness. In addition, by identifying the positions of these significant industrial groups in the stage of industrial development, suggestions for the development of the Material·Part·Equipment industries in the Chungcheong region were presented.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.119-128
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• 2020

The rapid changes in the industrial environment are providing crises and opportunities for small and medium-sized export enterprises. This study focused on overseas marketing support projects, especially effective consulting support for online marketing, in response to changes in the role of SMEs. Through a survey on companies participating in the online export support project, it was analyzed that both the consultant's competence and service quality had a significant effect on satisfaction, and that satisfaction had a significant effect on corporate performance. Also, satisfaction showed some significant mediating effects. In order to achieve business results, the competence of the consultant and the quality of service must be achieved together. This study presents the criteria for determining substantive factors necessary for the improvement of export support projects, and further studies on capacity-building measures for each factor should be conducted in the future.

• 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

• Industry Promotion Research
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• v.8 no.3
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• pp.1-7
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• 2023

This study is an empirical study on the influence of workpieces on the research results until it became a marketing field, and a total of 94 questionnaires were used as research analysis data for the Chungcheongnam-do area. As a result of the analysis, first, among marketing orientations, business orientation was found to have a significant effect on growth (β=.405) and customer satisfaction (β=.330). Customer satisfaction of business orientation shows a low number, so there is a need for improvement. Second, customer satisfaction and growth showed a high correlation coefficient of .746, and showed a significant correlation of p<.01 or higher, so the correlation between variables was confirmed to be appropriate. Third, it was confirmed that there was a significant difference between groups in customer satisfaction according to the age and work experience of the survey subjects. The significance probability was .006, which showed a statistically significant result. This study is meaningful in providing basic data for improving the management strategy and actual performance of SMEs as a research on marketing orientation and management performance.

• 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.

• 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.

• 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.

• 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.