This study explored the impact of interactional justice on supply-chain collaboration and sustainable supply-chain performance. Accordingly, it classified interactional justice of supply-chain management (SCM) into interpersonal and informational justice, and empirically classified the effects of these subordinate concepts on supply-chain collaboration and sustainable supply-chain performance. To this end, 700 questionnaires were distributed, and 201 final valid responses were used for the statistical analysis which revealed the significant positive influence of interpersonal justice on informational justice. This indicates that courtesy, respect, and proper words are important in the relationship between buyers and sellers. Both interpersonal and informational justice had a significant positive relationship with supply-chain collaboration. The results suggest that a fair-trade environment should be cultivated to encourage and facilitate seller-buyer collaboration. Lastly, supply-chain collaboration had a positive influence on sustainable supply-chain performance. This implies that if justice is not perceived in the seller-buyer relationship, collaboration can be hindered, which negatively impacts corporate performance. These findings also helped to understand the importance of interactional justice and to propose a new relationship between interpersonal and informational justice.

Purpose: In Korea, win-win growth policy has been successfully implemented in supply chain and logistics management. In the policy, it is recommended to support supply chain partners with various mechanisms including financial and technical aids. This study attempts to scientifically analyze the effects of direct and indirect win-win growth policy factors on supply chain and logistics management performance through partnership factors. Research design, data and methodology: This study builds a structural equation model reflecting the relationship between the win-win growth policy, partnership and performance factors. The proposed model is verified with the PLS (Partial Least Squares regression) methodology. Data from shipper and logistics companies were collected and analyzed by the PLS model. Results: The analysis showed that both direct and indirect policy factors are meaningful to improve supply chain and logistics performance. Indirect support factors including R&D, management innovation, human resources development and educational supports have positive impacts on partnership factors. Direct support factors including financial aids and fairness also have positive impacts on the performance. Conclusions: This study is meaningful in that it suggests a turning point in which supply chain Win-win growth and partnership efforts are perceived as new value-creating mechanism rather than unilateral cost reduction for logistics industry.