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.
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.
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.
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.
