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Sustainable Supply Chain Analytics

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Industry, Innovation and Infrastructure

Part of the book series: Encyclopedia of the UN Sustainable Development Goals ((ENUNSDG))

Definitions

Big Data Analytics (BDA) encapsulates all the data processing and analysis techniques to examine large amounts of data in order to provide insights by uncovering hidden data structures (correlations, patterns) and to inform business decisions and public policies. Encompassing virtually the complete value chain (sourcing, manufacturing, distribution, and logistics), and by employing data-driven decisions, Supply Chain Analytics (SCA) aims to enhance supply chain performance.

On Sustainable Development Goals and Supply Chains

In the face of diminishing resources and environmental challenges, concern for Sustainable Development (SD) is on the rise. The Brundtland Report (1987, p. 54) defines SD as “… development that meets the needs of the present without compromising the ability of future generations to meet their own needs.” Therefore, SD necessitates a holistic approach to long-term coexistence of humankind and biosphere. The logic is simple: Be it at local or global...

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Author information

Authors and Affiliations

  1. Centre for Research in Sustainable Supply Chain Analytics, Rowe School of Business, Dalhousie University, Halifax, NS, Canada

    M. Ali Ülkü & Alexander Engau

Authors
  1. M. Ali Ülkü
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  2. Alexander Engau
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Corresponding author

Correspondence to M. Ali Ülkü .

Editor information

Editors and Affiliations

  1. European School of Sustainability Science and Research, Hamburg University of Applied Sciences, Hamburg, Germany

    Walter Leal Filho

  2. Center for Neuroscience and Cell Biology, Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal

    Anabela Marisa Azul

  3. Faculty of Engineering and Architecture, Passo Fundo University, Passo Fundo, Brazil

    Luciana Brandli

  4. University of Passo Fundo, Passo Fundo, Brazil

    Amanda Lange Salvia

  5. University of Chester, Chester, UK

    Tony Wall

Section Editor information

  1. Industrial Engineering and Management, Lappeenranta-Lahti University of Technology, Yliopistonkatu, Lappeenranta, Finland

    Usama Awan

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Ülkü, M.A., Engau, A. (2021). Sustainable Supply Chain Analytics. In: Leal Filho, W., Azul, A.M., Brandli, L., Lange Salvia, A., Wall, T. (eds) Industry, Innovation and Infrastructure. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham. https://doi.org/10.1007/978-3-319-95873-6_117

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