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Industry 4.0 (I4.0) technologies are pivotal in enhancing supply chain resilience (SCRES). The extant literature identifies multiple antecedents of SCRES. However, the holistic impact of I4.0 technologies on all the antecedents of SCRES has not been rigorously studied. Practising managers have a limited understanding of the interrelationship of these technologies and their impact on each SCRES antecedent and its subfactors. This highlights the need for a comprehensive technology roadmap that integrates I4.0 technologies with SCRES antecedents and subfactors, benefiting both the pre- and post-disruption phases.

Interpretive structural modelling is used to develop the hierarchical structure of technologies based on their interrelationship. ANP-SVNTOPSIS (Analytic Network Process – Single Valued Neutrosophic Technique for Order of Preference by Similarity to Ideal Solution) approach to quantify technology impact factors (TIFs) value of each technology corresponding to each antecedent of SCRES is applied.

The result reveals that data-driven technologies and additive manufacturing have the highest impact on SCRES. The detailed analysis of the TIF values identifies high-impacting technologies for each SCRES antecedent and subfactor. The results are used to propose a technology roadmap integrating I4.0 technologies with SCRES antecedents for pre- and post-disruption phases.

The positive impact of I4.0 technologies on SCRES is well established. However, many companies face challenges in their I4.0 implementation projects despite the manifold advantages. To the best of our knowledge, no previous research has conducted such a rigorous analysis at the individual technology level and SCRES antecedents to quantify the multifaceted dimensions of SCRES. The present study addresses this gap. Furthermore, it proposes a technology roadmap which incorporates pre- and post-disruption phases, which is its uniqueness.

In a volatile and highly dynamic business environment, supply chain operations face various challenges. This study, grounded in dynamic capability theory (DCT), investigates how supply chain collaboration (SCC) and supply chain transparency (SCT) influence the relationship between supply chain finance (SCF) and supply chain resilience (SCR) in manufacturing firms. This demonstrates the intrinsic mechanism between SCF and SCR, which provides insights for relative research.

The quantitative research approach was utilized. Employing data collected from 289 Chinese manufacturing firms, structural equation modeling is conducted to test the theoretical hypotheses.

The research findings have revealed that SCF has a positive impact on SCC and SCT and SCC has a positive impact on SCT. Moreover, both SCC and SCT can improve SCR, and SCT plays a positive mediating role between SCC and SCR.

This study provides insightful ideas for managers in enhancing SCR by considering SCF. Moreover, this study highlights the concrete responses firms should do to improve SCC and SCT, thus managers can develop more effective strategies to optimize SCR.

This study contributes to the extant literature on improving SCR through SCF, considering the two dimensions of dynamic capability (i.e. SCC and SCT), which explains the intrinsic mechanisms by which SCF affects SCR. This study also broadens the scope of application of DCT.