TY - JOUR

T1 - The impact of supply chain complexities on supply chain resilience

T2 - the mediating effect of big data analytics

AU - Iftikhar, Anas

AU - Purvis, Laura

AU - Giannoccarro, Ilaria

AU - Wang, Yingli

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 04/02/2022, available online: https://www.tandfonline.com/doi/abs/10.1080/09537287.2022.2032450

PY - 2023/12/10

Y1 - 2023/12/10

N2 - Supply chains (SC) are increasingly complex and if the resulting complexity is not managed effectively, it could lead to adverse consequences for the firm. The effect big data analytics (BDA) can have on managing distinct types of SC complexity is not well-understood in the extant literature. Based on a sample of 166 firms from Pakistan, this study empirically investigates the effects of BDA, and structural and dynamic SC complexities, on SC resilience. The study also investigates the role of BDA as a mediator between SC complexities and SC resilience. We find that structural SC complexity positively affects SC resilience, while there doesn’t seem to be a significant impact for dynamic SC complexity. We also find a mediating effect of BDA for structural and dynamic SC complexities on SC resilience. Our results contribute to the extant literature investigating BDA and SC resilience by offering a more nuanced understanding of distinct types of SC complexities. We establish a more critical understanding of the role of BDA in mediating the critical link between the two types of SC complexity and SC resilience. The proposed model highlights that there are both direct and indirect effects between structural SC complexity and SC resilience, however dynamic SC complexity only influences SC resilience via BDA. These findings provide strategic insights for SC executives as to where to invest in BDA to build much-needed SC resilience.

AB - Supply chains (SC) are increasingly complex and if the resulting complexity is not managed effectively, it could lead to adverse consequences for the firm. The effect big data analytics (BDA) can have on managing distinct types of SC complexity is not well-understood in the extant literature. Based on a sample of 166 firms from Pakistan, this study empirically investigates the effects of BDA, and structural and dynamic SC complexities, on SC resilience. The study also investigates the role of BDA as a mediator between SC complexities and SC resilience. We find that structural SC complexity positively affects SC resilience, while there doesn’t seem to be a significant impact for dynamic SC complexity. We also find a mediating effect of BDA for structural and dynamic SC complexities on SC resilience. Our results contribute to the extant literature investigating BDA and SC resilience by offering a more nuanced understanding of distinct types of SC complexities. We establish a more critical understanding of the role of BDA in mediating the critical link between the two types of SC complexity and SC resilience. The proposed model highlights that there are both direct and indirect effects between structural SC complexity and SC resilience, however dynamic SC complexity only influences SC resilience via BDA. These findings provide strategic insights for SC executives as to where to invest in BDA to build much-needed SC resilience.

KW - Supply chain resilience

KW - structural complexity

KW - dynamic complexity

KW - big data analytics

KW - survey

U2 - 10.1080/09537287.2022.2032450

DO - 10.1080/09537287.2022.2032450

M3 - Journal article

VL - 34

SP - 1562

EP - 1582

JO - Production Planning and Control

JF - Production Planning and Control

SN - 0953-7287

IS - 16

ER -