Qin, L.-B., Zeng, W. orcid.org/0000-0003-0878-1465, Liu, Z.-Y.R. orcid.org/0009-0002-2070-9773 et al. (2 more authors) (2025) Navigating across the uncertainty: investigating the impact of buyer firms' digital transformation on operational efficiency. Industrial Management & Data Systems. pp. 1-25. ISSN: 0263-5577
Abstract
Purpose
Extensive literature and business consultants assert that digital transformation (DT) substantially enhances firm business operations, while there are significant counterarguments suggesting that DT may squander resources and fall short of delivering the anticipated benefits. Additionally, the impact of uncertainties arising from the buyer–supplier relationship has been largely overlooked. Drawing upon information processing theory (IPT), we propose to decipher the relationship between DT and operational efficiency through the buyer–supplier perspective, and further examine how uncertainties at the task, source and supply network levels moderate this relationship by influencing information processing capabilities.
Design/methodology/approach
Using secondary data derived from Chinese A-share listed firms, our study evaluated a total of 257 listed buyer firms with 892 firm-year observations.
Findings
The findings reveal that DT positively influences operational efficiency, with this effect being moderated by buyers’ technological resources and supplier dependency (SD). Interestingly, the supplier digitalisation level and buyer–supplier distance (BSD) do not significantly moderate this relationship.
Originality/value
This study contributes to technology literature by empirically investigating the actual impacts of DT on operational efficiency and identifying how various uncertainties at different levels can be managed for improved performance. The distinctive application of IPT offers a novel perspective on addressing these uncertainties in technological advancements. Moreover, this research provides valuable practical insights for firms on effective digitalisation process and offers guidance to policymakers in supporting DT initiatives.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of an article published in Industrial Management & Data Systems made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Digital transformation, Operational efficiency, Information processing theory, Text analysis, Supply chain management |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Analytics, Technology & Ops Department |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Sep 2025 14:55 |
Last Modified: | 22 Sep 2025 16:52 |
Status: | Published online |
Publisher: | Emerald |
Identification Number: | 10.1108/imds-03-2025-0292 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:231841 |