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How Analytics Is Facilitating Global Trade: Evidence from Modernizing the Global Supply Chain

Author

Listed:
  • Samuel Jacob ABERMANN

    (University of Texas at San Antonio, USA)

  • Carlos ALVAREZ

    (University of Texas at San Antonio)

Abstract

Purpose – This analysis seeks to explore digitalization as a performance driver of supply chains, particularly the job of data analytics in the digitalization of procurement. The analysis investigates how electronic procurement abilities are connected to information analytics abilities and supply chain functional performance, and how this links to business results. Design/methodology/approach – Using dynamic and operational abilities as foundations for information analytics features, this study analyzed the electronic procurement abilities and proposed the conceptual style and hypotheses for empirical testing. The collected business survey information and structural equation strategy are then assessed to evaluate the hypotheses. Results – The study confirms favorable and significant associations between electronic procurement abilities, data analytics abilities and supply chain efficiency. Electronic procurement abilities mediate the good connection between external data analytics abilities and supply chain efficiency. Functional implications – From the managerial perspective, the findings highlight the benefits of increasing information from gathered information and digitalized procedures. Supervisors should look at information utilization abilities to improve the functionality expected from the digitalization of supply chain activities. Additionally, managers must think about exploiting information through new innovative methods as part of standardized activities. Originality/value – The current study plays a role in the present understanding by checking out the mediating role of data analytics features in between the digitalization of procurement and supply chain efficiency. The findings support a good connection between the data analytics abilities and supply chain performance in electronic upstream supply chain procurement procedures. The current study additionally clarifies the effect and role of data analytics features in electronic supply chain growth and achievement.

Suggested Citation

  • Samuel Jacob ABERMANN & Carlos ALVAREZ, 2022. "How Analytics Is Facilitating Global Trade: Evidence from Modernizing the Global Supply Chain," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(10), pages 60-72, October.
    • Handle: RePEc:ahd:journl:v:3:y:2022:i:10:p:60-72
    DOI: 10.37945/cbr.2022.10.08
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    References listed on IDEAS

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    1. Vincenzo Morabito, 2015. "Managing Change for Big Data Driven Innovation," Springer Books, in: Big Data and Analytics, edition 127, chapter 0, pages 125-153, Springer.
    2. Hau L. Lee, 2018. "Big Data and the Innovation Cycle," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1642-1646, September.
    3. Sangho Chae & Thomas Y. Choi & Daesik Hur, 2017. "Buyer Power and Supplier Relationship Commitment: A Cognitive Evaluation Theory Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 53(2), pages 39-60, April.
    4. Tortorella, Guilherme Luz & Miorando, Rogério & Marodin, Giuliano, 2017. "Lean supply chain management: Empirical research on practices, contexts and performance," International Journal of Production Economics, Elsevier, vol. 193(C), pages 98-112.
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    More about this item

    Keywords

    supply chain management; performance; e-procurement; data analytics; digitalization; dynamic capabilities;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration
    • F19 - International Economics - - Trade - - - Other
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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