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Patterns of IT use: the impact on green supply chain management and firm performance

Shenyang Jiang (School of Management, Zhejiang University, Hangzhou, China)
Zhaojun Han (Institute of Systems Engineering, Dalian University of Technology, Dalian, China)
Baofeng Huo (College of Management and Economics, Tianjin University, Tianjin, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 14 April 2020

Issue publication date: 4 May 2020

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Abstract

Purpose

This study aims to explore how different patterns of IT use influence different types of green supply chain management (GSCM) with customers, and in turn, environmental and economic performance.

Design/methodology/approach

Based on data collected from 206 manufacturing companies in China, the authors used structural equation modeling (SEM) with the maximum-likelihood estimation (MLE) method to test the conceptual model and the related hypotheses.

Findings

The results show that both IT use for exploitation and IT use for exploration are positively related to green strategy alignment and green process coordination, whereas the relationship between IT use for exploration and green strategy alignment is weaker. This study also finds that green strategy alignment has a marginal positive effect on economic performance, whereas its effect on environmental performance is not significant. Green process coordination has a positive effect on environmental performance, whereas its effect on economic performance is not significant.

Originality/value

This study extends the value of IT use in the GSCM field, enriching both literature on IT and GSCM. The findings provide significant managerial implications for managers to leverage IT resources to enhance GSCM and the corresponding performance.

Keywords

Acknowledgements

This research was supported by the National Natural Science Foundation of China (#71802039, #71525005, #71802038).

Citation

Jiang, S., Han, Z. and Huo, B. (2020), "Patterns of IT use: the impact on green supply chain management and firm performance", Industrial Management & Data Systems, Vol. 120 No. 5, pp. 825-843. https://doi.org/10.1108/IMDS-07-2019-0394

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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