Bridging versus buffering: how IT capabilities and dependence advantage shape responses to supply chain disruptions?
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 22 April 2024
Issue publication date: 28 May 2024
Abstract
Purpose
Drawing upon resource dependence theory, this study aims to examine how a firm’s information technology (IT) capabilities (i.e. IT integration and IT reconfiguration) influence its responses to disruptions – bridging with a current supplier and buffering with an alternative supplier. We further examine how such relationships are moderated by the firm–supplier relative dependence (i.e. firm dependence advantage and supplier dependence advantage).
Design/methodology/approach
Based on data from 141 match-paired surveys of firms in China, we test our model.
Findings
Our study finds that IT integration positively influences bridging and IT reconfiguration positively influences buffering. Furthermore, our findings indicate that the positive impact of IT integration on bridging is negatively influenced by the firm’s dependence (FD) advantage but positively moderated by the supplier’s dependence advantage. By contrast, the positive impact of IT reconfiguration on buffering is negatively influenced by the FD advantage.
Originality/value
Our study provides a more nuanced insight into the effects of IT capabilities on disruption responses and a better understanding of the buyer–supplier dependence boundary conditions under which these effects vary.
Keywords
Acknowledgements
This work was supported by grants from the Scientific Research Key Project of Education Department of Anhui Province (2023AH050043), Innovative Development Research Project of Anhui Province Federation of Social Science (2022CX192), the National Natural Science Foundation of China (72071190) and the Fundamental Research Funds for the Central Universities (JZ2023HGPA0294).
Citation
Liu, H. and Wei, S. (2024), "Bridging versus buffering: how IT capabilities and dependence advantage shape responses to supply chain disruptions?", Industrial Management & Data Systems, Vol. 124 No. 5, pp. 1795-1822. https://doi.org/10.1108/IMDS-02-2023-0086
Publisher
:Emerald Publishing Limited
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