TY - JOUR
T1 - The relationship between supply chain integration and sustainability performance
T2 - a meta-analysis
AU - Wang, Qinru
AU - Chen, Lujie
AU - Jia, Fu
AU - Luo, Yujia
AU - Zhang, Zhiwei
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022/11/11
Y1 - 2022/11/11
N2 - Purpose: Supply chain integration (SCI) has been considered an antecedent of sustainability performance (SP) by some studies; however, empirical findings on the nexus between SCI and SP in the existing literature are inconsistent. The study aims to provide an extensive literature review on the SCI–SP relationship. Design/methodology/approach: We propose a conceptual research framework to investigate the SCI–SP relationship with consideration of the effects of contextual moderators. A meta-analysis is adopted to analyse the sample of 60 selected empirical papers focusing on this relationship. Findings: The results provide evidence of a positive relationship between SCI and SP, which is affected by the two types of moderating variables: operationalisation of SP construct and control variables (industry sector, economic development, and the country's logistics capabilities). We find that SCI has the greatest impact on economic SP and the lowest impact on social SP. The SCI–SP relationship is more robust in the service industry than in the manufacturing industry. When a country's logistics capabilities increase, SCI's influence on SP becomes weaker. Limitations/implications: The results of this study are drawn from extant empirical research, and thus the validity and reliability of these findings rely on the validity and reliability of the original studies. Originality/value: This study is the first meta-analysis to examine the vital relationship between SCI and SP and adopted a country's logistics capabilities as a moderator. The results offer managerial insights regarding integration dimensions that positively affect various measures of SP.
AB - Purpose: Supply chain integration (SCI) has been considered an antecedent of sustainability performance (SP) by some studies; however, empirical findings on the nexus between SCI and SP in the existing literature are inconsistent. The study aims to provide an extensive literature review on the SCI–SP relationship. Design/methodology/approach: We propose a conceptual research framework to investigate the SCI–SP relationship with consideration of the effects of contextual moderators. A meta-analysis is adopted to analyse the sample of 60 selected empirical papers focusing on this relationship. Findings: The results provide evidence of a positive relationship between SCI and SP, which is affected by the two types of moderating variables: operationalisation of SP construct and control variables (industry sector, economic development, and the country's logistics capabilities). We find that SCI has the greatest impact on economic SP and the lowest impact on social SP. The SCI–SP relationship is more robust in the service industry than in the manufacturing industry. When a country's logistics capabilities increase, SCI's influence on SP becomes weaker. Limitations/implications: The results of this study are drawn from extant empirical research, and thus the validity and reliability of these findings rely on the validity and reliability of the original studies. Originality/value: This study is the first meta-analysis to examine the vital relationship between SCI and SP and adopted a country's logistics capabilities as a moderator. The results offer managerial insights regarding integration dimensions that positively affect various measures of SP.
KW - Meta-analysis
KW - supply chain integration
KW - sustainability performance
UR - http://www.scopus.com/inward/record.url?scp=85141983654&partnerID=8YFLogxK
U2 - 10.1080/13675567.2022.2144812
DO - 10.1080/13675567.2022.2144812
M3 - Article
AN - SCOPUS:85141983654
SN - 1367-5567
VL - 27
SP - 1388
EP - 1409
JO - International Journal of Logistics Research and Applications
JF - International Journal of Logistics Research and Applications
IS - 8
ER -