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Supply chain information capabilities and performance outcomes: An empirical study of Korean steel suppliers

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  • Youn, Sun Hee
  • Yang, Ma Ga (Mark)
  • Kim, Jin Hwan
  • Hong, Paul

Abstract

This article discusses how supply chain information capabilities are instrumental to achieve performance outcomes. We identify critical components of supply chain information capabilities in terms of inter-organizational information system capacity and inter-organizational relational competency. In view of the high degree of industry concentration in Korea, this article presents and tests a research model using a sample of Korean steel suppliers. Empirical tests are conducted using the structural equation modeling, PLS (partial least squares). The results of this study suggest that Korean manufacturing (e.g., automobile, shipbuilding, construction, and mobile industries) are heavily influenced by the competitiveness of the steel industry in terms of supply chain information capabilities and performance outcomes—supply chain-level (i.e., supply chain flexibility) and firm-level performance outcomes (i.e., customer responsiveness and cost reductions). Future research may extend the findings of this study in other country contexts to accomplish both customer responsiveness and cost reductions through supply chain information capabilities.

Suggested Citation

  • Youn, Sun Hee & Yang, Ma Ga (Mark) & Kim, Jin Hwan & Hong, Paul, 2014. "Supply chain information capabilities and performance outcomes: An empirical study of Korean steel suppliers," International Journal of Information Management, Elsevier, vol. 34(3), pages 369-380.
  • Handle: RePEc:eee:ininma:v:34:y:2014:i:3:p:369-380
    DOI: 10.1016/j.ijinfomgt.2014.01.008
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    References listed on IDEAS

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    Cited by:

    1. Wu, Ing-Long & Chiu, Mai-Lun, 2018. "Examining supply chain collaboration with determinants and performance impact: Social capital, justice, and technology use perspectives," International Journal of Information Management, Elsevier, vol. 39(C), pages 5-19.
    2. Mamonov, Stanislav & Triantoro, Tamilla Mavlanova, 2018. "The strategic value of data resources in emergent industries," International Journal of Information Management, Elsevier, vol. 39(C), pages 146-155.
    3. Mohammadi, Mir Ahmad & Sayadi, Ahmad Reza & Khoshfarman, Mahsa & Husseinzadeh Kashan, Ali, 2022. "A systems dynamics simulation model of a steel supply chain-case study," Resources Policy, Elsevier, vol. 77(C).

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