Smart supply chains: How do resilience and dynamic capabilities drive corporate performance?

Purpose This study investigates the impact of smart supply chain construction (SSCC) on corporate performance (CP) in European firms from 2015 to 2023. It examines how resilience and dynamic capabilities contribute to enhancing CP through improved operational efficiency and adaptability. Design/methodology/approach A mixed-methods approach was adopted, combining Difference-in-Differences (DID), necessity condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA). The analysis draws on a comprehensive dataset of publicly listed European companies, identifying causal relationships and critical configurations influencing CP. Findings The findings reveal that SSCC significantly enhances CP by strengthening operational resilience, fostering dynamic capabilities, and optimizing resource allocation. Key drivers include proactive and reactive resilience capabilities, R&D investments and robust resource utilization. Configurations involving smart technologies and effective resource management emerged as essential enablers of superior performance. Originality/value This study uses a rarely applied multi-method empirical framework to examine SSCC’s transformative potential and integrates the resource based view (RBV) and dynamic capabilities theory. It highlights the interplay of resilience, innovation and resource management in boosting CP while addressing critical gaps in smart supply chain research. It provides empirical insights and actionable strategies for businesses and policymakers to enhance resilience and corporate performance in dynamic markets.

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Publication Details

Journal
The International Journal of Logistics Management
Published
2025-10-27
DOI
https://doi.org/10.1108/ijlm-12-2024-0783
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23
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article

Smart supply chains: How do resilience and dynamic capabilities drive corporate performance?

Markus Gerschberger, Mohammad Fakhrul Islam, A. K. M. Mohsin, Sayed Farrukh Ahmed et al.
1 citations
The International Journal of Logistics Management
Supply Chain Resilience and Risk Management
2.23
article

Smart supply chains: How do resilience and dynamic capabilities drive corporate performance?

Markus Gerschberger, Mohammad Fakhrul Islam, A. K. M. Mohsin, Sayed Farrukh Ahmed, Michael Plasch, Md. Rashed, Osmani Dritan
article en
1 citations

Abstract

Purpose This study investigates the impact of smart supply chain construction (SSCC) on corporate performance (CP) in European firms from 2015 to 2023. It examines how resilience and dynamic capabilities contribute to enhancing CP through improved operational efficiency and adaptability. Design/methodology/approach A mixed-methods approach was adopted, combining Difference-in-Differences (DID), necessity condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA). The analysis draws on a comprehensive dataset of publicly listed European companies, identifying causal relationships and critical configurations influencing CP. Findings The findings reveal that SSCC significantly enhances CP by strengthening operational resilience, fostering dynamic capabilities, and optimizing resource allocation. Key drivers include proactive and reactive resilience capabilities, R&D investments and robust resource utilization. Configurations involving smart technologies and effective resource management emerged as essential enablers of superior performance. Originality/value This study uses a rarely applied multi-method empirical framework to examine SSCC’s transformative potential and integrates the resource based view (RBV) and dynamic capabilities theory. It highlights the interplay of resilience, innovation and resource management in boosting CP while addressing critical gaps in smart supply chain research. It provides empirical insights and actionable strategies for businesses and policymakers to enhance resilience and corporate performance in dynamic markets.

The International Journal of Logistics ManagementVol. 36(7)
Austrian Research Institute for Artificial Intelligence (AT), Daffodil International University (BD), Engineering Software Steyr (Austria) (AT), International University of Business Agriculture and Technology (BD), University of Applied Sciences Upper Austria (AT), ELTE Centre for Economic and Regional Studies (HU)
Openalex Percentile: Top 8%
Supply Chain Resilience and Risk Management
2.23
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