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Cross-Border Process Innovations: Improving the Fit Between Information Processing Needs and Capabilities

Author

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  • Benjamin T. Hazen

    (Department of Marketing and Supply Chain Management, University of Tennessee, 310 Stokely Management Center, Knoxville TN 37996, USA)

  • Chetan Sankar

    (Department of Aviation and Supply Chain Management, Auburn University, 401 Lowder Business Building, Auburn AL 36849, USA)

Abstract

There is little guidance as to what general information processing capabilities are required to support organizations' cross-border business initiatives. We draw on the organizational information processing view to identify ways to enhance fit between information processing capabilities and needs, thereby reducing uncertainties. Using a multiple case study method, we examine four projects in an effort to uncover how organizations can innovate across borders to reduce these uncertainties.

Suggested Citation

  • Benjamin T. Hazen & Chetan Sankar, 2015. "Cross-Border Process Innovations: Improving the Fit Between Information Processing Needs and Capabilities," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-26.
    • Handle: RePEc:wsi:ijitmx:v:12:y:2015:i:03:n:s0219877015500133
    DOI: 10.1142/S0219877015500133
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    References listed on IDEAS

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    1. Gene M. Grossman & Elhanan Helpman, 1993. "Innovation and Growth in the Global Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262570971, April.
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    Cited by:

    1. Scott DuHadway & Steven Carnovale & Benjamin Hazen, 2019. "Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery," Annals of Operations Research, Springer, vol. 283(1), pages 179-198, December.
    2. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    3. Venkatesh Mani & Catarina Delgado & Benjamin T. Hazen & Purvishkumar Patel, 2017. "Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain," Sustainability, MDPI, vol. 9(4), pages 1-21, April.

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