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Supply Chain Analytics: Conceptualizing Complexity with the DNA Metaphor

Author

Listed:
  • Janaina Siegler

    (Butler University, Lacy School of Business)

  • Mario Henrique Callefi

    (Chemnitz University of Technology, Chair of Factory Planning and Intralogistics)

  • Elias Ribeiro da Silva

    (University of Southern Denmark, Department of Technology and Innovation)

  • Elaine Mosconi

    (Université de Sherbrooke, École de gestion)

  • Luis Antonio Santa-Eulalia

    (Université de Sherbrooke, École de gestion)

Abstract

Supply Chain Analytics (SCA) has become essential for managing the growing complexity of modern supply chains. This study aims to conceptualize SCA through a meta-framework using the DNA metaphor, providing a structured and comprehensive theoretical model. The research follows a three-phase methodology: an extensive literature review to identify key SCA components, expert focus group discussions to develop the DNA metaphor, and (3) the refinement and validation of the meta-framework. The proposed SCA-DNA model illustrates how data analytics, technology, governance, strategy, and buyer-supplier relationships interact dynamically, ensuring resiliency and efficiency. Theoretical implications include a novel perspective on SCA as an interconnected system, offering a structured foundation for future studies. Practically, the model is a strategic tool for managers to optimize decision-making, improve analytical capabilities, and enhance supply chain adaptability in a data-driven environment.

Suggested Citation

  • Janaina Siegler & Mario Henrique Callefi & Elias Ribeiro da Silva & Elaine Mosconi & Luis Antonio Santa-Eulalia, 2026. "Supply Chain Analytics: Conceptualizing Complexity with the DNA Metaphor," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-23124-6_47
    DOI: 10.1007/978-3-032-23124-6_47
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