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

Author

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  • Sheko Alma

    (Faculty of Technical Sciences, University of Vlora, Albania)

  • Spaho Alma Braimllari

    (Faculty of Economy, University of Tirana, Albania)

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

  • Sheko Alma & Spaho Alma Braimllari, 2018. "Information Technology Inhibitors and Information Quality in Supply Chain Management: A PLS-SEM Analysis," Academic Journal of Interdisciplinary Studies, Sciendo, vol. 7(3), pages 125-138, November.
    • Handle: RePEc:vrs:ajinst:v:7:y:2018:i:3:p:125-138:n:10
    DOI: 10.2478/ajis-2018-0064
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    Cited by:

    1. Abdalwali Lutfi & Akif Lutfi Al-Khasawneh & Mohammed Amin Almaiah & Ahmad Farhan Alshira’h & Malek Hamed Alshirah & Adi Alsyouf & Mahmaod Alrawad & Ahmad Al-Khasawneh & Mohamed Saad & Rommel Al Ali, 2022. "Antecedents of Big Data Analytic Adoption and Impacts on Performance: Contingent Effect," Sustainability, MDPI, vol. 14(23), pages 1-23, November.

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