Abstract
This article provides a theoretical framework for comprehending the connections between dynamic data analytics capability (DDAC), innovation capabilities (IC), supply chain resilience (RES), and sustainable supply chain performance (SSCP). Since this is the first empirical investigation of the sequential mediation effect between DDAC and SSCP through IC and RES, it fills a critical need in the supply chain literature. A quantitative methodology was used, involving a survey questionnaire distributed to 259 large Pakistani manufacturing firms. We used PLS–SEM to test for the expected associations. Findings show that using DDAC has a beneficial effect on both innovative and resilient capabilities, which in turn leads to better SSCP. The research illuminates the sequential mediating roles of product, process, and resilience, underlining the need of combining data-driven innovation with resilience in order to achieve sustainable supply chain performance. These results provide useful guidance for businesses that want to boost their sustainability results by taking a more all-encompassing approach to data-driven innovation and resilience.
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Data availability
The datasets used and/or analyzed during the current study are available on reasonable request.
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This research is supported by the National Natural Science Foundation of China (72250410375).
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AZP, SARK, RS, MKUR: conceptualization, methodology software. AZP and RS: data collection, writing—original draft preparation. MKUR, RS, and AZP: visualization, investigation. AZP, SARK, RS, and MKUR: software, validation. AZP, SARK, RS, and MKUR: writing—reviewing and editing.
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Appendix
Appendix
Construct | Items | Source |
|---|---|---|
Dynamic Data Analytics Capability | DDAC1: We use advanced tools and analytical techniques (e.g., simulation, optimization, regression) to take decision | |
DDAC2: We use information extracted from various sources of data to take decision | ||
DDAC3: We use data visualization technique (e.g., dashboards) to assist users or decision-maker in understanding complex information | ||
DDAC4: Our dashboards display information which is useful for carrying out necessary diagnosis | ||
DDAC5: We have connected dashboard applications or information with the manager’s communication devices | ||
Product Innovation | PTI1: We respond well to customer need for “new” product features | |
PTI2: We develop unique product features to our customer needs | ||
PTI3: We develop new and sustainable product features into the market quickly | ||
PTI4: Our latest innovative product release was successful in achieving the sales target | ||
Process Innovation | PCI1: We are the first within the industry to deploy new and sustainable processes | |
PCI2: We keep up with the latest sustainable process developments | ||
PCI3: We are learning more about the newest processes than our competitors | ||
PCI4: We frequently introduce sustainable processes that are radically different from existing processes in the industry | ||
PCI5: Process innovation is important to this plant | ||
PCI6: We pursue a cutting-edge system that can integrate information | ||
Resilience | RES1: Our firm can quickly restore material flow | |
RES2: Our organization would return to regular operational performance quickly | ||
RES3: Our company’s supply chain may transition to a new, more desired condition after being disrupted | ||
RES4: Our organization can respond swiftly to disruptions | ||
RES5: Our company’s supply chain can retain a desired degree of control over structure and operation during a disruption | ||
Sustainable supply chain performance | SSCM1: Our company is able to see the dynamics of the network’s supply chain | Adapted from (Bag et al. 2020) |
SSCM2: Our organization manages risks in the supply network in a proactive way | ||
SSCM3: Our company has strict control over supply chain expenses | ||
SSCM4: Our supply chain network has seen a considerable reduction in waste | ||
SSCM5: Our supply chain is capable of delivering entire orders to end customers on time | ||
SSCM6: Our company is capable of adhering to environmental requirements as specified by our customers | ||
SSCM7: Our company has reduced buffer stocks at every stage of the supply chain | ||
SSCM8: Our supply chain is able to adjust to a dynamic business environment quicker than our competitors | ||
SSCM9: Our supply chain network has seen a considerable reduction in total fuel consumption used in transportation of products/services | (Wong et al. 2020) | |
SSCM10: Our company is able to reduce total packaging materials used |
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Piprani, A.Z., Khan, S.A.R., Salim, R. et al. Unlocking sustainable supply chain performance through dynamic data analytics: a multiple mediation model of sustainable innovation and supply chain resilience. Environ Sci Pollut Res 30, 90615–90638 (2023). https://doi.org/10.1007/s11356-023-28507-8
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DOI: https://doi.org/10.1007/s11356-023-28507-8