• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.120-130
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• 2020

This study examined the effects of perceived value (functional value, social value) and stress (complexity, insecurity) on continuous intention in SNS. In particular, this study examined the direct and indirect impacts of SNS type on the intention of continuing to use SNS. The research model was tested for 461 respondents that used SNS. SPSS 21.0 and PLS 2.0 techniques were used to perform reliability, feasibility, path and hierarchical regression analysis. The summary of the research results is as follows. First, the results indicate that functional value and social value have positive effects on satisfaction. Second, the results indicate that complexity had a negative effect on satisfaction. Third, the results indicate that insecurity and satisfaction have positive effects on continuous intention. Fourth, the results indicate that SNS type had a negative effect on continuous intention. Fifth, it was shown that SNS type had a moderating effect in the relationship between insecurity and continuous intention. Specifically, Insecurity had a stronger effect on continuous intention at closed-type SNS than open-type SNS. These findings suggest that closed-type SNS companies will have to address the anxiety of SNS users by providing various items and system devices.

• Informatization Policy
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• v.30 no.4
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• pp.40-61
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• 2023

The adoption of smart factories and smart manufacturing as strategies to enhance competitiveness and stimulate growth in the manufacturing sector is vital for a country's future competitiveness and industrial transformation. The government has consistently pursued smart manufacturing innovation policies starting with the Manufacturing Innovation 3.0 strategy in the Ministry of Industry. This study aims to identify policy areas for smart factories and smart manufacturing based on technical standards. Analyzing policy areas at the current stage where the establishment and support of domestic standards aligning with international technical standards are required is crucial. By prioritizing smart manufacturing process areas within the industry, policymakers can make well-informed decisions to advance smart manufacturing without blindly following international standardization in already well-established areas. To achieve this, the study utilizes a hierarchical analysis method including expert interviews and importance-performance analysis for the five major process areas. The findings underscore the importance of proactive participation in standardization for emerging technologies, such as data and security, instead of solely focusing on areas with extensive international standardization. Additionally, policymakers need to consider carbon emissions, energy costs, and global environmental challenges to address international trends in export and digital trade effectively.