Home > Research > Publications & Outputs > Big data analytics and supply chain learning

Research

Electronic data

Links

Text available via DOI:

View graph of relations

Big data analytics and supply chain learning: A serial mediation model for enhancing resilience and financial performance

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Forthcoming

Standard

Big data analytics and supply chain learning: A serial mediation model for enhancing resilience and financial performance. / Iftikhar, Anas; Do, Quynh; Stevenson, Mark et al.
In: European Management Journal, 25.07.2025.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Iftikhar, A, Do, Q, Stevenson, M & Aslam, H 2025, 'Big data analytics and supply chain learning: A serial mediation model for enhancing resilience and financial performance', European Management Journal. https://doi.org/10.1016/j.emj.2025.07.004

APA

Iftikhar, A., Do, Q., Stevenson, M., & Aslam, H. (in press). Big data analytics and supply chain learning: A serial mediation model for enhancing resilience and financial performance. European Management Journal. https://doi.org/10.1016/j.emj.2025.07.004

Vancouver

Iftikhar A, Do Q, Stevenson M, Aslam H. Big data analytics and supply chain learning: A serial mediation model for enhancing resilience and financial performance. European Management Journal. 2025 Jul 25. doi: 10.1016/j.emj.2025.07.004

Author

Iftikhar, Anas ; Do, Quynh ; Stevenson, Mark et al. / Big data analytics and supply chain learning : A serial mediation model for enhancing resilience and financial performance. In: European Management Journal. 2025.

Bibtex

@article{6474dde055c843228f6f733e19ecdbcb,
title = "Big data analytics and supply chain learning: A serial mediation model for enhancing resilience and financial performance",
abstract = "The extant literature on big data analytics capability (BDAC) in the disruptions management area has largely overlooked the distinct role of exploitative and explorative supply chain learning (SCL) in enhancing supply chain resilience (SCRes) and financial performance (FP). This study addresses this gap by examining how BDAC strengthens both exploitative and explorative SCL to improve SCRes and FP. Using survey data from 188 firms from an emerging economy, structural equation modelling was used to test the hypothesised relationships. Our findings reveal that exploitative and explorative learning distinctly impact SCRes, while both are strengthened by BDAC. Although explorative learning does not directly influence SCRes, it enhances exploitative learning, indirectly affecting SCRes through sequential mediation. Finally, SCRes mediates the relationship between exploitative learning and FP, but no mediation effect is observed for explorative learning. This study offers a unique framework that highlights the critical role of BDAC in maximising the impact of both learning types to drive SCRes and FP.",
author = "Anas Iftikhar and Quynh Do and Mark Stevenson and Haris Aslam",
year = "2025",
month = jul,
day = "25",
doi = "10.1016/j.emj.2025.07.004",
language = "English",
journal = "European Management Journal",
issn = "0263-2373",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Big data analytics and supply chain learning

T2 - A serial mediation model for enhancing resilience and financial performance

AU - Iftikhar, Anas

AU - Do, Quynh

AU - Stevenson, Mark

AU - Aslam, Haris

PY - 2025/7/25

Y1 - 2025/7/25

N2 - The extant literature on big data analytics capability (BDAC) in the disruptions management area has largely overlooked the distinct role of exploitative and explorative supply chain learning (SCL) in enhancing supply chain resilience (SCRes) and financial performance (FP). This study addresses this gap by examining how BDAC strengthens both exploitative and explorative SCL to improve SCRes and FP. Using survey data from 188 firms from an emerging economy, structural equation modelling was used to test the hypothesised relationships. Our findings reveal that exploitative and explorative learning distinctly impact SCRes, while both are strengthened by BDAC. Although explorative learning does not directly influence SCRes, it enhances exploitative learning, indirectly affecting SCRes through sequential mediation. Finally, SCRes mediates the relationship between exploitative learning and FP, but no mediation effect is observed for explorative learning. This study offers a unique framework that highlights the critical role of BDAC in maximising the impact of both learning types to drive SCRes and FP.

AB - The extant literature on big data analytics capability (BDAC) in the disruptions management area has largely overlooked the distinct role of exploitative and explorative supply chain learning (SCL) in enhancing supply chain resilience (SCRes) and financial performance (FP). This study addresses this gap by examining how BDAC strengthens both exploitative and explorative SCL to improve SCRes and FP. Using survey data from 188 firms from an emerging economy, structural equation modelling was used to test the hypothesised relationships. Our findings reveal that exploitative and explorative learning distinctly impact SCRes, while both are strengthened by BDAC. Although explorative learning does not directly influence SCRes, it enhances exploitative learning, indirectly affecting SCRes through sequential mediation. Finally, SCRes mediates the relationship between exploitative learning and FP, but no mediation effect is observed for explorative learning. This study offers a unique framework that highlights the critical role of BDAC in maximising the impact of both learning types to drive SCRes and FP.

U2 - 10.1016/j.emj.2025.07.004

DO - 10.1016/j.emj.2025.07.004

M3 - Journal article

JO - European Management Journal

JF - European Management Journal

SN - 0263-2373

ER -