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This study aims to empirically analyze how the quality of alternatives influences the commitment level in the relationships between companies in supply chains. It also studies how this ultimately influences the associated satisfaction level and logistics performance.

For this purpose, the authors adopted an extended investment model based on interdependence theory. The authors explored the relationships between logistics outsourcing partners based on the components of the investment model. To examine the correlations between variables, the authors surveyed workers in domestic supply chain–related departments and used a total of 300 valid questionnaires for statistical analysis. The hypotheses were verified through structural equation modeling using SPSS 18.0 and AMOS 18.0.

The quality of alternatives had a positive influence on the commitment level. Additionally, the commitment level had a positive influence on the satisfaction level but did not have a significant influence on logistics performance. Finally, the satisfaction level exhibited a proportional relationship with logistics performance.

First, this study examined the effects of the relationships between supply chain parties and psychological factors on logistics outsourcing. Second, this study applied the investment model to a logistics outsourcing-related topic. Finally, under the COVID-19 and the trade war, this study is significant as it shows that the existing commonly accepted hypotheses can be overturned.

This study differs from other studies in that it applied the investment model to a logistics outsourcing-related topic.

The purpose of this study is to verify whether the relationships between supply chain members can maximize supply chain efficiency by adopting an investment model that has been used in family psychology.

Information sharing was added as a link between commitment level and the independent variables of the investment model, and their effect on logistics performance in terms of supply chain operation was examined. The authors surveyed workers involved in supply chain-related work in Korea and collected 300 valid survey responses to verify the findings. The hypotheses were verified through structural equation model using SPSS 18.0 and AMOS 18.0.

This study academically revealed the impacts of intangible efficiency on performance. Satisfaction and investment size had a significant effect on information sharing, but not on the quality of alternatives. Information sharing had a positive effect on the commitment level. Finally, commitment level had a positive effect on logistics performance. Because the effects of satisfaction and investment size are proportional to the degree of information sharing, firms in a supply chain must consider their importance.

Owing to the complexity of today’s supply chains, the existing fragmentary method of analysis limits the evaluation of supply chain performance factors. Accordingly, based on an investment model that is rarely discussed in business administration, this study identified the link of antecedent variables in addition to direct variables that affect supply chain performance.