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Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method

Author

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  • Marcela Marçal Alves Pinto

    (Department of Industrial Engineering, Federal University of Technology, Paraná (UTFPR), 84016-210 Ponta Grossa, Brazil)

  • João Luiz Kovaleski

    (Department of Industrial Engineering, Federal University of Technology, Paraná (UTFPR), 84016-210 Ponta Grossa, Brazil)

  • Rui Tadashi Yoshino

    (Department of Industrial Engineering, Federal University of Technology, Paraná (UTFPR), 84016-210 Ponta Grossa, Brazil)

  • Regina Negri Pagani

    (Department of Industrial Engineering, Federal University of Technology, Paraná (UTFPR), 84016-210 Ponta Grossa, Brazil)

Abstract

After performing a systematic review of the literature, it was noticeable that the discussion regarding Green Supply Chain Management (GSCM) along with Knowledge and Technology Transfer (KTT) and Innovation is scarce. To address this issue, the objective of this paper is to analyze the relationship between GSCM, KTT, and Innovation. To achieve this purpose, we developed a conceptual framework based on the literature review, which raised some hypotheses. In order to verify the hypotheses and validate the framework, we designed a multicriteria model called the KTT-GSCM Multicriteria Model, composed of two stages. The first stage describes factors that are relevant to GSCM, KTT, and Innovation, ascertaining which ones have influence over the others and which ones are influenced by the others, through the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The second stage of the model analyzes the level of each perspective in each company and in the supply chain as a whole, thus verifying the hypotheses. This model was applied in 13 firms of a supply chain that has a rotomolding firm as a focal company. Through the development and application of the model, it was possible to verify the hypotheses raised and conclude that the perspectives of GSCM, KTT, and Innovation are, in fact, influenced by one another and that both Innovation and KTT promote greater development in GSCM.

Suggested Citation

  • Marcela Marçal Alves Pinto & João Luiz Kovaleski & Rui Tadashi Yoshino & Regina Negri Pagani, 2019. "Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method," Sustainability, MDPI, vol. 11(12), pages 1-33, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3485-:d:242779
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    5. Efpraxia D. Zamani & Conn Smyth & Samrat Gupta & Denis Dennehy, 2023. "Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review," Annals of Operations Research, Springer, vol. 327(2), pages 605-632, August.
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    7. Martha Orellano & Christine Lambey-Checchin & Khaled Medini & Gilles Neubert, 2021. "A Methodological Framework to Support the Sustainable Innovation Development Process : A Collaborative Approach," Post-Print hal-03341881, HAL.
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