Due to increases in truck traffic, truck traffic safety has become an unavoidable societal issue in Korea. Truck traffic accidents were responsible for 24% of all traffic deaths in 2019, and the fatality rate was significantly higher than that of other forms of traffic. This study analyzes not only the driver and environmental factors, but also the traffic condition factors which are considered to contribute to the severity of truck traffic accidents, and presents practical truck safety solutions based on the findings. This study examines the fatal and serious injury truck traffic accidents in Incheon, which has large logistics facilities and the highest fatality rate (3.3) in Korea’s capital area. According to the regression analysis results, ‘Nighttime’, ‘Vehicle-single’, ‘Vehicle to Pedestrian’, ‘Lane violation’, and ‘Signal violation’ contribute to the severity of truck traffic accidents. Furthermore, truck traffic accidents in the logistics influencing area are more likely to be serious than in the non-influencing area. In terms of the traffic condition factors, the number of lanes, the maximum speed, and the number of road property-changing nodes were significant. The results of this study will provide useful data for establishing traffic safety policies in urban areas.

Since the global financial crisis of 2008, research on supply chain finance (SCF) based on supply chain management (SCM) has increased rapidly. The context of SCF development is continuously changing, which means that it cannot function in isolation and financial ecology must be taken into consideration. Previous research has shown that comprehensive SCF studies incorporating financial ecology are lacking; although it was mentioned, it was at a descriptive level with fragmented dimensions, limiting the broader understanding of SCF. Therefore, to address this research gap and reveal future study prospects, we conducted a systematic literature search, focusing on 132 selected papers published between 2002 and February 2022. The present study provides insights into the development stages of SCF, and the understanding of ‘Supply Chain’ and ‘Finance’ in the context of the financial ecosystem. This study reiterates the necessity of studying SCF from a financial ecology perspective and contributes to the SCF ecosystem understanding framework, bridging the theoretical inadequacies in investigating SCF.

SCF (Supply Chain Finance), as an emerging technology-driven financial optimization approach, has grown quickly worldwide with the development of information technology. China is one noteworthy country influenced by SCF development; its traditional financial market structure dominated by banks is undergoing change. The E-commerce-centered SCF has evolved into the representative capital provider in the new financial “Blue Ocean” market. For capturing competitiveness, Chinese JD (Jingdong) SCF practice backed to JD E-commerce is a typical example involving business model innovations, but with few previous related studies on this aspect. Therefore, to fill the research gap, this paper introduces a hybrid theoretical analysis of the BMC (Business Model Canvas) considering a three-layer strategic innovation structure and financial analysis regarding a modified competitive advantages-gaining model to comprehensively explore the recent innovative development and transformation of JD SCF business based on the perspective of competitive advantages. This study identifies JD SCF’s two times of business model innovations that benefit from its sustainable development; verifies that “cost”, “differentiation”, and “focused strategy” are three means for JD SCF practice gaining competitiveness at different development stages and simultaneously emphasizes that the latter two are influenced by business model innovation. The mixed analysis work in this paper may contribute both theoretical and practical implications.

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