<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Background and purpose:</bold> Little are known about the nature of the interaction between supply chain analytics, supply chain innovation and robustness capability. The purpose of this paper is to examine the effectiveness of supply chain analytics in enhancing firms supply chain innovation and robustness capability in the Arabian context.<bold>Design/Methods:</bold> Using knowledge-based view and survey data from line managers in supply and logistics departments, the present study uses variance-based structural equation modeling (PLS-SEM) to diagnose the association between supply chain analytics, supply chain innovation and robustness capability.<bold>Findings:</bold> Results suggest that supply chain analytics exerted significant impact on supply chain innovation and not on robustness capability. It appears that supply chain innovation exerted a significant impact on robustness capability, in doing so, supply chain innovation mediates the link supply chain analytics and robustness capability.<bold>Conclusion:</bold> The outcome of this study points to the importance of supply chain analytics as a functional tool for supply chain and/or logistic routes stability and success. The paper concludes supply chain analytics can help managers have access timely and useful data for greater innovation; and that supply chain innovation is reliant not only on data, but also on firms’ analytic capabilities.</abstract>

Background and purpose: Little are known about the nature of the interaction between supply chain analytics, supply chain innovation and robustness capability. The purpose of this paper is to examine the effectiveness of supply chain analytics in enhancing firms supply chain innovation and robustness capability in the Arabian context.Design/Methods: Using knowledge-based view and survey data from line managers in supply and logistics departments, the present study uses variance-based structural equation modeling (PLS-SEM) to diagnose the association between supply chain analytics, supply chain innovation and robustness capability.Findings: Results suggest that supply chain analytics exerted significant impact on supply chain innovation and not on robustness capability. It appears that supply chain innovation exerted a significant impact on robustness capability, in doing so, supply chain innovation mediates the link supply chain analytics and robustness capability.Conclusion: The outcome of this study points to the importance of supply chain analytics as a functional tool for supply chain and/or logistic routes stability and success. The paper concludes supply chain analytics can help managers have access timely and useful data for greater innovation; and that supply chain innovation is reliant not only on data, but also on firms’ analytic capabilities.

Does Supply Chain Analytics Enhance Supply Chain Innovation and Robustness Capability?

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This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Background and purpose: Little are known about the nature of the interaction between supply chain analytics, supply chain innovation and robustness capability....

Does Supply Chain Analytics Enhance Supply Chain Innovation and Robustness Capability?

Publié en ligne: 09 juil. 2019

Pages: 95 - 106

Reçu: 06 avr. 2019

Accepté: 20 mai 2019

DOI: https://doi.org/10.2478/orga-2019-0007

Mots clés
Big data, supply chain analytics, supply chain innovation, robustness capability

© 2019 Mohamed Dawood Shamout, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Does Supply Chain Analytics Enhance Supply Chain Innovation and Robustness Capability?

Publié en ligne: 09 juil. 2019

Pages: 95 - 106

Reçu: 06 avr. 2019

Accepté: 20 mai 2019

DOI: https://doi.org/10.2478/orga-2019-0007

Mots clésBig data, supply chain analytics, supply chain innovation, robustness capability

© 2019 Mohamed Dawood Shamout, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Big data, supply chain analytics, supply chain innovation, robustness capability