IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v90y2021ics0739885920300676.html
   My bibliography  Save this article

Process innovation through industry 4.0 technologies, lean practices and green supply chains

Author

Listed:
  • De Giovanni, Pietro
  • Cariola, Alfio

Abstract

This paper investigates the impact of a process innovation strategy that firms implement through Industry 4.0 (I4.0) technologies on lean practices and green supply chains. It analyses whether process innovation can be used as a lever to strengthen the relationships among Leanness, Green Supply Chain Management and Performance. The results reveal that Leanness facilitates the supplier collaboration on environmental programs and positively contributes to environmental and operational performance. In contrast, it exerts a positive second order effect on economic performance, which should then be pursued as a long term target. A process innovation strategy based on I4.0 technologies improves the effect of Leanness on operational performance, which also leads to higher economic outcomes. Nevertheless, firms can gain higher performance either by collaborating with suppliers on environmental programs or by investing in I4.0 technologies but not with both.

Suggested Citation

  • De Giovanni, Pietro & Cariola, Alfio, 2021. "Process innovation through industry 4.0 technologies, lean practices and green supply chains," Research in Transportation Economics, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:retrec:v:90:y:2021:i:c:s0739885920300676
    DOI: 10.1016/j.retrec.2020.100869
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885920300676
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2020.100869?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. De Giovanni, Pietro & Zaccour, Georges, 2019. "Optimal quality improvements and pricing strategies with active and passive product returns," Omega, Elsevier, vol. 88(C), pages 248-262.
    2. Genc, Talat S. & Giovanni, Pietro De, 2017. "Trade-in and save: A two-period closed-loop supply chain game with price and technology dependent returns," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 514-527.
    3. Pietro Giovanni, 2017. "Closed-loop supply chain coordination through incentives with asymmetric information," Annals of Operations Research, Springer, vol. 253(1), pages 133-167, June.
    4. Genc, Talat S. & De Giovanni, Pietro, 2020. "Closed-loop supply chain games with innovation-led lean programs and sustainability," International Journal of Production Economics, Elsevier, vol. 219(C), pages 440-456.
    5. Rapinder Sawhney & Pamuk Teparakul & Aruna Bagchi & Xueping Li, 2007. "En-Lean: a framework to align lean and green manufacturing in the metal cutting supply chain," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 1(3), pages 238-260.
    6. Ramani, Vinay & De Giovanni, Pietro, 2017. "A two-period model of product cannibalization in an atypical Closed-loop Supply Chain with endogenous returns: The case of DellReconnect," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1009-1027.
    7. Naga Vamsi Krishna Jasti & Rambabu Kodali, 2015. "Lean production: literature review and trends," International Journal of Production Research, Taylor & Francis Journals, vol. 53(3), pages 867-885, February.
    8. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    9. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    10. De Giovanni, Pietro & Cariola, Alfio & Passarelli, Mariacarmela, 2013. "Recent developments on Reactivity: Theoretical conceptualization and empirical verification," European Journal of Operational Research, Elsevier, vol. 231(3), pages 690-701.
    11. Pietro De Giovanni, 2019. "Digital Supply Chain through Dynamic Inventory and Smart Contracts," Mathematics, MDPI, vol. 7(12), pages 1-25, December.
    12. Pietro De Giovanni, 2016. "Coordination in a distribution channel with decisions on the nature of incentives and share-dependency on pricing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(8), pages 1034-1049, August.
    13. Preeker, Tim & De Giovanni, Pietro, 2018. "Coordinating innovation projects with high tech suppliers through contracts," Research Policy, Elsevier, vol. 47(6), pages 1161-1172.
    14. Vachon, Stephan & Klassen, Robert D., 2008. "Environmental management and manufacturing performance: The role of collaboration in the supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 299-315, February.
    15. R. Anthony Inman & Kenneth W. Green, 2018. "Lean and green combine to impact environmental and operational performance," International Journal of Production Research, Taylor & Francis Journals, vol. 56(14), pages 4802-4818, July.
    16. Yang, Ma Ga (Mark) & Hong, Paul & Modi, Sachin B., 2011. "Impact of lean manufacturing and environmental management on business performance: An empirical study of manufacturing firms," International Journal of Production Economics, Elsevier, vol. 129(2), pages 251-261, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lingye Tan & Tiong Lee Kong & Ziyang Zhang & Ahmed Sayed M. Metwally & Shubham Sharma & Kanta Prasad Sharma & Sayed M. Eldin & Dominik Zimon, 2023. "Scheduling and Controlling Production in an Internet of Things Environment for Industry 4.0: An Analysis and Systematic Review of Scientific Metrological Data," Sustainability, MDPI, vol. 15(9), pages 1-37, May.
    2. Alpana Taneja & Vinay Goyal & Kunjana Malik, 2023. "Sustainability‐oriented innovations – Enhancing factors and consequences," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(6), pages 2747-2765, November.
    3. Viviana D’Angelo & Valeria Belvedere, 2023. "Green Supply Chains and Digital Supply Chains: Identifying Overlapping Areas," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    4. John Wiredu & Qian Yang & Agyemang Kwasi Sampene & Bright Akwasi Gyamfi & Simplice A. Asongu, 2023. "The effect of green supply chain management practices on corporate environmental performance. Does supply chain competitive advantage matter?," Working Papers 23/063, European Xtramile Centre of African Studies (EXCAS).
    5. Karishma M. Qureshi & Bhavesh G. Mewada & Mohanad Kamil Buniya & Mohamed Rafik Noor Mohamed Qureshi, 2023. "Analyzing Critical Success Factors of Lean 4.0 Implementation in Small and Medium Enterprises for Sustainable Manufacturing Supply Chain for Industry 4.0 Using PLS-SEM," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    6. Huang, Kerry & Wang, Kedi & Lee, Peter K.C. & Yeung, Andy C.L., 2023. "The impact of industry 4.0 on supply chain capability and supply chain resilience: A dynamic resource-based view," International Journal of Production Economics, Elsevier, vol. 262(C).
    7. Aldona Kluczek & Patrycja Żegleń & Daniela Matušíková, 2021. "The Use of Prospect Theory for Energy Sustainable Industry 4.0," Energies, MDPI, vol. 14(22), pages 1-29, November.
    8. Morganti, Daniele & De Giovanni, Pietro, 2022. "Offshoring motivations driven by sustainability factors," Research in Transportation Economics, Elsevier, vol. 95(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Genc, Talat S. & De Giovanni, Pietro, 2020. "Closed-loop supply chain games with innovation-led lean programs and sustainability," International Journal of Production Economics, Elsevier, vol. 219(C), pages 440-456.
    2. Pietro De Giovanni & Georges Zaccour, 2022. "A selective survey of game-theoretic models of closed-loop supply chains," Annals of Operations Research, Springer, vol. 314(1), pages 77-116, July.
    3. Pietro De Giovanni, 2019. "Digital Supply Chain through Dynamic Inventory and Smart Contracts," Mathematics, MDPI, vol. 7(12), pages 1-25, December.
    4. Pietro Giovanni & Georges Zaccour, 2019. "A selective survey of game-theoretic models of closed-loop supply chains," 4OR, Springer, vol. 17(1), pages 1-44, March.
    5. Ehsan Shekarian & Simme Douwe Flapper, 2021. "Analyzing the Structure of Closed-Loop Supply Chains: A Game Theory Perspective," Sustainability, MDPI, vol. 13(3), pages 1-32, January.
    6. De Giovanni, Pietro, 2020. "Blockchain and smart contracts in supply chain management: A game theoretic model," International Journal of Production Economics, Elsevier, vol. 228(C).
    7. Buratto, Alessandra & Cesaretto, Rudy & De Giovanni, Pietro, 2019. "Consignment contracts with cooperative programs and price discount mechanisms in a dynamic supply chain," International Journal of Production Economics, Elsevier, vol. 218(C), pages 72-82.
    8. Jalali, Hamed & Ansaripoor, Amir H. & De Giovanni, Pietro, 2020. "Closed-loop supply chains with complementary products," International Journal of Production Economics, Elsevier, vol. 229(C).
    9. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    10. Genc, Talat S. & De Giovanni, Pietro, 2018. "Optimal return and rebate mechanism in a closed-loop supply chain game," European Journal of Operational Research, Elsevier, vol. 269(2), pages 661-681.
    11. Matteo Trabucco & Pietro De Giovanni, 2021. "Achieving Resilience and Business Sustainability during COVID-19: The Role of Lean Supply Chain Practices and Digitalization," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    12. De Giovanni, Pietro, 2018. "A joint maximization incentive in closed-loop supply chains with competing retailers: The case of spent-battery recycling," European Journal of Operational Research, Elsevier, vol. 268(1), pages 128-147.
    13. Pietro De Giovanni, 2020. "Recursive Effects to Study Feature-Based Capabilities in Supply Chain Management," Logistics, MDPI, vol. 4(4), pages 1-17, November.
    14. Kirti Nayal & Rakesh D. Raut & Balkrishna E. Narkhede & Pragati Priyadarshinee & Gajanan B. Panchal & Vidyadhar V. Gedam, 2023. "Antecedents for blockchain technology-enabled sustainable agriculture supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 293-337, August.
    15. Ma, Deqing & Hu, Jinsong, 2022. "The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 254(C).
    16. Talat Genc & Pietro De Giovanni, 2021. "Dynamic pricing and green investments under conscious, emotional, and rational consumers," Working Papers 2101, University of Guelph, Department of Economics and Finance.
    17. Eleonora Di Maria & Valentina De Marchi & Ambra Galeazzo, 2022. "Industry 4.0 technologies and circular economy: The mediating role of supply chain integration," Business Strategy and the Environment, Wiley Blackwell, vol. 31(2), pages 619-632, February.
    18. Ghobadian, Abby & Talavera, Irene & Bhattacharya, Arijit & Kumar, Vikas & Garza-Reyes, Jose Arturo & O'Regan, Nicholas, 2020. "Examining legitimatisation of additive manufacturing in the interplay between innovation, lean manufacturing and sustainability," International Journal of Production Economics, Elsevier, vol. 219(C), pages 457-468.
    19. Das, Kanchan, 2018. "Integrating lean systems in the design of a sustainable supply chain model," International Journal of Production Economics, Elsevier, vol. 198(C), pages 177-190.
    20. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:retrec:v:90:y:2021:i:c:s0739885920300676. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.