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Supply chain planning and innovation performance: the moderated mediation effect of IT usage

Yutong Liu (School of Management, Zhejiang University, Hangzhou, China)
Mingu Kang (School of Management, Zhejiang University, Hangzhou, China)
Tae-Won Kang (Department of Supply Chain and Logistics, Kunsan National University, Gunsan, Republic of Korea)
Jian Du (School of Management, Zhejiang University, Hangzhou, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 30 August 2022

Issue publication date: 8 November 2022

370

Abstract

Purpose

The study aims to figure out the impact of supply chain planning (SCP) on innovation performance (IP), the mediating role of agreement on supply chain vision and goals (ASCVG), and the moderated effect of information technology (IT) use with buyers and suppliers.

Design/methodology/approach

Based on 265 pieces of data collected from global manufacturing companies, the authors tested the proposed hypothesis through regression analyses. Meanwhile, the plug-in of statistical software SPSS, PROCESS (Model 4 and 14) was used to examine the mediation and moderated mediation models.

Findings

The results reveal that ASCVG partially mediates the effect of SCP on IP. Furthermore, the indirect influence of SCP on IP is stronger when the extent of IT use with buyers is higher, while this indirect effect is not moderated by IT use with suppliers.

Originality/value

In this study, the authors investigated the combined effect of SCP, ASCVG, and IT use with external partners on IP, which provides theoretical and practical insights into the ways that manufacturing firms effectively use the SCP, ASCVG and IT use with external partners to heighten IP.

Keywords

Acknowledgements

Funding: The authors gratefully acknowledge the support of the National Natural Science Foundation of China (No. 72072160, No. 71832013).

Citation

Liu, Y., Kang, M., Kang, T.-W. and Du, J. (2022), "Supply chain planning and innovation performance: the moderated mediation effect of IT usage", Industrial Management & Data Systems, Vol. 122 No. 11, pp. 2465-2484. https://doi.org/10.1108/IMDS-01-2022-0053

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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