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Information Technology Inhibitors and Information Quality in Supply Chain Management: A PLS-SEM Analysis

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  • Alma Sheko
  • Alma Braimllari (Spaho)

Abstract

The development of information technology has simplified the exchange of information between different parts of the supply chain. Information quality plays an important role in enhancing supply chain performance. The aim of this research was to explore the relationships between SCM-IT inhibitors, IT enablers, information sharing, and information quality in supply chain management. Data for 183 business units operating in Vlore, Albania during 2017 were analyzed. Direct and mediating or indirect effects were also analyzed. The data were analyzed using partial least squares structural equation modeling (PLS-SEM), an advanced statistical technique with the help of Smart-PLS version 3.2.7. PLS algorithm was used to determine the factor loadings and path coefficients in the theoretical model. The study has concluded that SCM-IT inhibitors have a negative and significant effect on information quality; the mediation effect of information sharing was significant, the mediation effect of IT enablers was significant; however, the multiple mediation effects of IT enablers and information sharing was not significant. These findings are useful for top management and IT specialists of the business units, and also for information technology services and products providers.

Suggested Citation

  • Alma Sheko & Alma Braimllari (Spaho), 2018. "Information Technology Inhibitors and Information Quality in Supply Chain Management: A PLS-SEM Analysis," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 7, November.
    • Handle: RePEc:bjz:ajisjr:1750
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    References listed on IDEAS

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