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Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view

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  • Belhadi, Amine
  • Kamble, Sachin S.
  • Venkatesh, Mani
  • Chiappetta Jabbour, Charbel Jose
  • Benkhati, Imane

Abstract

Following the COVID-19 outbreak, a wide range of scholars and practitioners have come to recognize the potential of Additive Manufacturing (AM) technology in building supply chain resilience and efficiency. However, it remains unclear how AM technology might be able to simultaneously build supply chain efficiency and resilience, given the often conflicting nature of these qualities. This paper employs an ambidextrous perspective on dynamic capability theory to investigate the potential of AM technology to solve this resilience-efficiency dilemma at the supply chain level. The research design involves a hybrid approach, combining focus groups and multiple case studies, with particular attention paid to the African supply chain context. The findings indicate that AM technology presents the potential to develop ambidextrous dynamic capabilities, leading to the reconciliation of resilience and efficiency at the supply chain level. Some determinants, such as data-driven systems, supply chain collaboration, innovation agility and knowledge are found to be critical to enable the development of those capabilities around AM-enabled manufacturing systems. The study contributes to the preparation of the global supply chain for the post-COVID era, where digital technologies such as AM will be fundamental for both building resilience and efficiency simultaneously. Practitioners in emerging economies may benefit directly from the outcomes of this study. Furthermore, managers and policy-makers in developed countries may be made aware of the significance of using AM technology in emerging countries to enhance the performance of the global supply chain.

Suggested Citation

  • Belhadi, Amine & Kamble, Sachin S. & Venkatesh, Mani & Chiappetta Jabbour, Charbel Jose & Benkhati, Imane, 2022. "Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view," International Journal of Production Economics, Elsevier, vol. 249(C).
  • Handle: RePEc:eee:proeco:v:249:y:2022:i:c:s0925527322001098
    DOI: 10.1016/j.ijpe.2022.108516
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    1. Hochrein, S. & Glock, C. H. & Bogaschewsky, R. & Heider, M., 2015. "Literature reviews in supply chain management: a tertiary study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75187, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    3. Ruiz-Benítez, Rocío & López, Cristina & Real, Juan C., 2018. "The lean and resilient management of the supply chain and its impact on performance," International Journal of Production Economics, Elsevier, vol. 203(C), pages 190-202.
    4. Zhu, Qingyun & Shah, Purvi & Sarkis, Joseph, 2018. "Addition by subtraction: Integrating product deletion with lean and sustainable supply chain management," International Journal of Production Economics, Elsevier, vol. 205(C), pages 201-214.
    5. Daniel Ramón-Lumbierres & F. Javier Heredia Cervera & Joaquim Minguella-Canela & Asier Muguruza-Blanco, 2021. "Optimal postponement in supply chain network design under uncertainty: an application for additive manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 59(17), pages 5198-5215, September.
    6. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    7. Ilaria De Sanctis & Joaquín Ordieres Meré & Filippo Emanuele Ciarapica, 2018. "Resilience for lean organisational network," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6917-6936, November.
    8. Angappa Gunasekaran & Nachiappan Subramanian & Shams Rahman, 2015. "Supply chain resilience: role of complexities and strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 53(22), pages 6809-6819, November.
    9. Guo, Jingjing & Guo, Bin & Zhou, Jianghua & Wu, Xiaobo, 2020. "How does the ambidexterity of technological learning routine affect firm innovation performance within industrial clusters? The moderating effects of knowledge attributes," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    10. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    11. Dominik Eckstein & Matthias Goellner & Constantin Blome & Michael Henke, 2015. "The performance impact of supply chain agility and supply chain adaptability: the moderating effect of product complexity," International Journal of Production Research, Taylor & Francis Journals, vol. 53(10), pages 3028-3046, May.
    12. Linda Argote & Manpreet Hora, 2017. "Organizational Learning and Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 579-590, April.
    13. Mohammaddust, Faeghe & Rezapour, Shabnam & Farahani, Reza Zanjirani & Mofidfar, Mohammad & Hill, Alex, 2017. "Developing lean and responsive supply chains: A robust model for alternative risk mitigation strategies in supply chain designs," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 632-653.
    14. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    15. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    16. Christina Fang & Jeho Lee & Melissa A. Schilling, 2010. "Balancing Exploration and Exploitation Through Structural Design: The Isolation of Subgroups and Organizational Learning," Organization Science, INFORMS, vol. 21(3), pages 625-642, June.
    17. repec:dar:wpaper:73318 is not listed on IDEAS
    18. Bag, Surajit & Gupta, Shivam & Kumar, Sameer, 2021. "Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development," International Journal of Production Economics, Elsevier, vol. 231(C).
    19. 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.
    20. Delic, Mia & Eyers, Daniel R., 2020. "The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry," International Journal of Production Economics, Elsevier, vol. 228(C).
    21. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    22. Mellor, Stephen & Hao, Liang & Zhang, David, 2014. "Additive manufacturing: A framework for implementation," International Journal of Production Economics, Elsevier, vol. 149(C), pages 194-201.
    23. Michael Gibbert & Winfried Ruigrok & Barbara Wicki, 2008. "What passes as a rigorous case study?," Strategic Management Journal, Wiley Blackwell, vol. 29(13), pages 1465-1474, December.
    24. Soliman, Marlon & Saurin, Tarcisio Abreu & Anzanello, Michel Jose, 2018. "The impacts of lean production on the complexity of socio-technical systems," International Journal of Production Economics, Elsevier, vol. 197(C), pages 342-357.
    25. Yao Li & Guozhu Jia & Yang Cheng & Yuchen Hu, 2017. "Additive manufacturing technology in spare parts supply chain: a comparative study," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1498-1515, March.
    26. Qing Cao & Eric Gedajlovic & Hongping Zhang, 2009. "Unpacking Organizational Ambidexterity: Dimensions, Contingencies, and Synergistic Effects," Organization Science, INFORMS, vol. 20(4), pages 781-796, August.
    27. 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.
    28. Weller, Christian & Kleer, Robin & Piller, Frank T., 2015. "Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited," International Journal of Production Economics, Elsevier, vol. 164(C), pages 43-56.
    29. Gu, Minhao & Yang, Lu & Huo, Baofeng, 2021. "The impact of information technology usage on supply chain resilience and performance: An ambidexterous view," International Journal of Production Economics, Elsevier, vol. 232(C).
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