Factors influencing the smart supply chain innovation performance of commodity distribution enterprises: an investigation from China

Abstract

Purpose

This study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.

Design/methodology/approach

A multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.

Findings

First, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.

Originality/value

Compared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.

Citation

Liu, W., Zhang, J. and Wang, S. (2021), "Factors influencing the smart supply chain innovation performance of commodity distribution enterprises: an investigation from China", Industrial Management & Data Systems, Vol. 121 No. 10, pp. 2073-2099. https://doi.org/10.1108/IMDS-12-2020-0753