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The Impact Of Iot Usage On Big Data Analytics And Supply Chain Integration

Author

Listed:
  • Şemsettin ÇIĞDEM

    (Faculty of Economics and Administrative Sciences, Gaziantep University, Turkey)

  • Bülent YILDIZ

    (Faculty of Economics and Administrative Sciences, Kastamonu University, Turkey)

  • Ieva MEIDUTE-KAVALIAUSKIENE

    (Business Management Faculty, Vilnius Gediminas Technical University, Lithuania)

  • Renata CINCIKAITE

    (Business Management Faculty, Vilnius Gediminas Technical University, Lithuania)

Abstract

As industrial organizations use more technology, systems' data production capacities improve. Thus, big data analytics (BDA) is becoming more critical. BDA and supply chain integration (SCI) require IoT technology to gather, transmit, and process enormous amounts of real-time data from multiple sources. Because IoT devices are equipped with sensors and actuators that collect and share data from the physical world, these devices generate large amounts of data regarding product movement within the supply chain, environmental conditions, equipment status, etc. These data serve as a valuable source of information for BDA. Additionally, IoT devices facilitate communication and collaboration between different supply chain components. Suppliers, manufacturers, distributors, and retailers can share real-time data to coordinate operations and respond quickly and efficiently to changes. This affects SCI positively. In this context, this study investigated the impact of manufacturing companies' use of IoT technology on their BDA capacity and SCI. As a result of the structural equation model analysis, it was found that the use of IoT technology positively affects BDA capacity and SCI. It has been determined that BDA capacity has a significant positive effect on SCI. According to the research results, suggestions were made to companies and researchers.

Suggested Citation

  • Şemsettin ÇIĞDEM & Bülent YILDIZ & Ieva MEIDUTE-KAVALIAUSKIENE & Renata CINCIKAITE, 2025. "The Impact Of Iot Usage On Big Data Analytics And Supply Chain Integration," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 20(1), pages 19-42, April.
    • Handle: RePEc:blg:journl:v:20:y:2025:i:1:p:19-42
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