KJCKorea
Journal Central

This study aimed to systematically identify success factors for smart factories in small and medium-sized enterprises(SMEs) from an ESG(Environmental, Social, Governance) perspective. To achieve this, the Analytic Hierarchy Process(AHP) methodology was employed to quantitatively analyze the relative importance and priority of factors that can enhance ESG performance. After conducting pairwise comparisons using AHP with 28 experts in the fields of ESG and smart factories, the results were as follows: Among the higher-level tasks, government support(31.86%) showed the highest weight, followed by human resources(30.73%), technical resources(23.19%), and environmental factors(14.22%). In the overall weight analysis of sub-criteria tasks, management commitment(10.05%) ranked first, followed by dedicated personnel(9.47%), regulation and laws(9.23%), and smart technology operations(8.85%). These results suggested that ESG smart factory implementation is not merely a matter of technology adoption, but rather a strategic initiative requiring organizational change management centered on management leadership and specialized personnel. Furthermore, it was confirmed that government financial support and institutional frameworks serve as key factors in facilitating SMEs' adoption of smart factories for ESG.

This study compares the write throughput and latency characteristics of MongoDB and InfluxDB in large-scale time-series data environments. Modern IoT and log analytics systems increasingly require processing millions of events per second, which traditional relational databases struggle to support efficiently. To reproduce such high-load environments accurately, we implemented a load generator using the Go programming language, which provides lightweight concurrency and efficient parallel execution, enabling stable generation of hundreds of thousands to millions of write operations per second. Four scenarios were evaluated under identical conditions, including MongoDB’s low-durability Write Concern w:1 (acknowledgment only from the primary node) and the stronger durability setting w:majority (acknowledgment from a majority of replica-set members). Experimental results show that InfluxDB achieved 1.54M TPS with a p95 latency of 243 ms, approximately three times higher throughput than MongoDB. MongoDB exhibited increased latency as Write Concern levels strengthened due to replication acknowledgment overhead. These findings highlight the architectural advantages of InfluxDB for high-throughput time-series workloads and offer practical guidance for database selection and tuning in large-scale log and IoT systems.

The recent acceleration of digital transformation has highlighted the importance of information utilization capabilities and relational resources, alongside changes in collaboration practices at both organizational and individual levels. In digital environments, social capital—based on trust and networks—serves as a key factor in enhancing collaboration efficiency and individual satisfaction. However, prior studies have largely focused on the effects of social capital at the organizational level, leaving empirical research at the individual level examining the relationship between digital collaboration and satisfaction relatively limited. Accordingly, this study empirically analyzes the effects of social capital on individuals’ digital collaboration satisfaction, the mediating role of attitude, and the moderating role of individuals’ PC utilization skills. A survey of the general public in Korea was conducted, and structural equation modeling was applied. The results indicate that social capital has a positive effect on both attitude and satisfaction, with attitude partially mediating this relationship. In addition, PC utilization skills exhibit significant moderating effects across key relationships, confirming that individuals’ technical proficiency plays an important role in strengthening the effectiveness of digital collaboration. This study provides both theoretical and practical implications by integrating social and technological factors in the digital context.