Browse by author
Lookup NU author(s): Dr Haiyan LuORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Purpose – Food sustainability is a world-acknowledged issue that requires urgent integrated solutions at multi-levels. This study aims to explorehow food firms can improve their sustainability performance through digital traceability practices, considering the mediating effect of sustainabilityorientedinnovation (SOI) and the moderating effect of supply chain learning (SCL) for the food supply chain therein.Design/methodology/approach – Hierarchical regression with a moderated mediation model is used to test the proposed hypotheses with asample of 359 food firms from four provinces in China.Findings – Digital traceability has a significant positive impact on the three pillars of sustainability performances among food firms. SOI (productinnovation, process innovation and organisational innovation) mediates the relationship between digital traceability and sustainability performance.SCL plays moderating roles in the linkage between digital traceability and both product and process innovation, respectively.Originality/value – This paper contributes as one of the first studies to develop digital traceability practices and their sustainability-relatedimprovements for Chinese food firms; it extends studies on supply chain traceability to a typical emerging market. This finding can support foodsustainability practice in terms of where and how to invest in sustainability innovation and how to improve economic, environmental and socialperformance.
Author(s): Zhou X, Lu H, Kumar Mangla S
Publication type: Article
Publication status: Published
Journal: Supply Chain Management
Year: 2024
Pages: epub ahead of print
Online publication date: 27/02/2024
Acceptance date: 07/02/2024
Date deposited: 19/03/2024
ISSN (print): 1359-8546
ISSN (electronic): 1758-6852
Publisher: Emerald Publishing Limited
URL: https://doi.org/10.1108/SCM-01-2023-0047
DOI: 10.1108/SCM-01-2023-0047
ePrints DOI: 10.57711/jvhx-8z26
Altmetrics provided by Altmetric
