La gestion de la chaîne d'approvisionnement à l'heure du COVID-19. Une étude exploratoire en Suisse

Auteurs

Mots-clés :

résilience, chaîne d'approvisionnement, COVID-19, Suisse, mutualisation

Résumé

Les mesures liées au COVID-19 mises en œuvre en Suisse et dans le monde entier ont considérablement perturbé les chaînes d'approvisionnement, qui se sont développées à l'échelle internationale depuis les années 1980. Cette étude exploratoire, basée sur des questionnaires et des entretiens semi-directifs avec des entreprises suisses, identifie les principales vulnérabilités, dans la prévision de la demande volatile des clients et dans la gestion des retards fréquents de la part des fournisseurs. Les entreprises ont réagi en constituant des stocks de sécurité, en utilisant des logiciels tels que ERP, WMS et CRM, et en renforçant la collaboration entre les parties prenantes par des efforts de mutualisation. Bien que la taille de l'échantillon soit limitée et qu'elle se concentre sur la Suisse, l'étude offre des perspectives pratiques aux responsables de la chaîne d'approvisionnement qui cherchent à améliorer la résilience et la robustesse face à de futures perturbations.

Biographies des auteurs

Karine Doan, Haute école de gestion Arc

Karine Doan est professeure associée à la Haute école de gestion Arc (HES-SO), en Suisse. Ses domaines de recherche sont la durabilité, la résilience et la diversité des genres dans la chaîne d'approvisionnement. Elle est également membre de diverses associations professionnelles et académiques.

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Stefano Carrino, Haute école Arc

Dr. Stefano Carrino est professeur d'informatique à la Haute école Arc (HES-SO), spécialisé dans l'IA appliquée et l'apprentissage automatique. Il est titulaire d'un doctorat en informatique et d'un master en ingénierie électronique.

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Mathias Rota, Haute école de gestion Arc

Mathias Rota est titulaire d'un Master of Arts en géographie, histoire et sciences politiques de l'Université de Neuchâtel (CH). Collaborateur scientifique à la Haute école de gestion Arc (HES-SO), il utilise des méthodes statistiques pour étudier les mondes de l'art et de la géographie économique.

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Références

Aamer, A. M., Yani, L. P. E., & Priyatna, I. M. A. (2021). Data analytics in the supply chain management: Review of machine learning applications in demand forecasting. In Operations and Supply Chain Management (Vol. 14, Issue 1, pp. 1–13). https://doi.org/10.31387/oscm0440281

Abbad, H., Souak, S., & Mahjoub, S. (2025). Internet des objets, blockchain et big data : quel(s) rôle(s) pour la prise de décision dans la supply chain automobile ? Revue Française de Gestion Industrielle, 39(1), 29–41. https://doi.org/10.53102/2025.39.01.1183 [RFGI]

Agrawal, N., & Jain, R. K. (2022). Insights from systematic literature review of supply chain resilience and disruption. In Benchmarking (Vol. 29, Issue 8, pp. 2495–2526). https://doi.org/10.1108/BIJ-02-2021-0084

Al Naimi, M., Faisal, M. N., Sobh, R., & Bin Sabir, L. (2022). A systematic mapping review exploring 10 years of research on supply chain resilience and reconfiguration. International Journal of Logistics Research and Applications, 25(8), 1191–1218. https://doi.org/10.1080/13675567.2021.1893288

Andersen, M., & Skjoett‐Larsen, T. (2009). Corporate social responsibility in global supply chains. Supply Chain Management: An International Journal, 14(2), 75–86. https://doi.org/10.1108/13598540910941948

Ardolino, M., Bacchetti, A., & Ivanov, D. (2022). Analysis of the COVID-19 pandemic’s impacts on manufacturing: a systematic literature review and future research agenda. Operations Management Research, 15(1–2), 551–566. https://doi.org/10.1007/s12063-021-00225-9

Baig, A., Hall, B., Jenkins, P., Lamarre, E., & McCarthy, B. (2020). The COVID-19 recovery will be digital: A plan for the first 90 days. In McKinsey & Company. https://www.mckinsey.com/~/media/McKinsey/Business Functions/McKinsey Digital/Our Insights/The COVID 19 recovery will be digital A plan for the first 90 days/The-COVID-19-recovery-will-be-digital-A-plan-for-the-first-90-days-vF.pdf

Barrientos, S. (2023). Gender and corporate social responsibility: beyond compliance in global value chains. In Research Handbook on International Corporate Social Responsibility (pp. 408–424). Edward Elgar Publishing. https://doi.org/10.4337/9781802207040.00035

Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature review. In International Journal of Production Research (Vol. 57, Issues 15–16, pp. 4719–4742). https://doi.org/10.1080/00207543.2017.1402140

Benzidia, S., & Bentahar, O. (2023). Numéro Spécial ¨PROLOG : La digitalisation des supply chains : défis et bénéfices. Revue Française de Gestion Industrielle, 37(2), 3–6. https://doi.org/10.53102/2023.37.02.1192 [RFGI]

Bhatia, G., Lane, C., & Wain, A. (2013). Building Resilience in Supply Chains. http://www3.weforum.org/docs/WEF_RRN_MO_BuildingResilienceSupplyChains_Report_2013.pdf

Bode, C., & Wagner, S. M. (2015). Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions. Journal of Operations Management, 36, 215–228. https://doi.org/10.1016/j.jom.2014.12.004

Boulay, G., & Grandclement, A. (2019). Introduction à la géographie économique. Armand Colin. https://doi.org/10.3917/arco.oulay.2019.01

Brakman, S., Garretsen, H., & van Witteloostuijn, A. (2020). The turn from just-in-time to just-in-case globalization in and after times of COVID-19. Social Sciences & Humanities Open, 2(1), 100034. https://doi.org/10.1016/j.ssaho.2020.100034

Brandon-Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness. Journal of Supply Chain Management, 50(3), 55–73. https://doi.org/10.1111/jscm.12050

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Butt, A. S. (2022). Understanding the implications of pandemic outbreaks on supply chains: an exploratory study of the effects caused by the COVID-19 across four South Asian countries and steps taken by firms to address the disruptions. International Journal of Physical Distribution and Logistics Management, 52(4), 370–392. https://doi.org/10.1108/IJPDLM-08-2020-0281

Camman, C., Monnet, M., Guieu, G., & Livolsi, L. (2013). Les stratégies d’acteurs dans la mutualisation logistique. Logistique & Management, 21(3), 57–75. https://doi.org/10.1080/12507970.2013.11517025

Canwat, V. (2024). COVID-19-related supply chain disruptions: resilience and vulnerability of micro, small and medium enterprises. Cogent Business & Management, 11(1), 2315691. https://doi.org/10.1080/23311975.2024.2315691

Carbonneau, R., Laframboise, K., & Vahidov, R. (2008). Application of machine learning techniques for supply chain demand forecasting. European Journal of Operational Research, 184(3), 1140–1154. https://doi.org/10.1016/j.ejor.2006.12.004

Chen, X., He, C., Chen, Y., & Xie, Z. (2023). Internet of Things (IoT)—blockchain-enabled pharmaceutical supply chain resilience in the post-pandemic era. Frontiers of Engineering Management, 10(1), 82–95. https://doi.org/10.1007/s42524-022-0233-1

Chin, T. A., & Tat, H. H. (2015). Does gender diversity moderate the relationship between supply chain management practice and performance in the electronic manufacturing services industry? International Journal of Logistics Research and Applications, 18(1), 35–45. https://doi.org/10.1080/13675567.2014.945399

Chowdhury, P., Paul, S. K., Kaisar, S., & Moktadir, M. A. (2021). COVID-19 pandemic related supply chain studies: A systematic review. Transportation Research Part E: Logistics and Transportation Review, 148, 102271. https://doi.org/10.1016/j.tre.2021.102271

Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15(2), 1–14. https://doi.org/10.1108/09574090410700275

Cole, R. (1965). THE PROBLEM OF PAIN IN PERSISTENT CANCER. Medical Journal of Australia, 1(19), 682–686. https://doi.org/10.5694/j.1326-5377.1965.tb72070.x

Couzineau-Zegwaard, E., & Meier, O. (2023). Les artefacts digitaux de la Supply Chain : lecture du cas L’Oréal au prisme de l’acteur réseau. Revue Française de Gestion Industrielle, 37(2), 07–23. https://doi.org/10.53102/2023.37.02.932 [RFGI]

Dalimunthe, S. B., Ginting, R., & Sinulingga, S. (2023). The Implementation Of Machine Learning In Demand Forecasting : A Review Of Method Used In Demand Forecasting With Machine Learning. Jurnal Sistem Teknik Industri, 25(1), 41–49. https://doi.org/10.32734/jsti.v25i1.9290

de Luis-Carnicer, P., Martínez-Sánchez, Á., Pérez-Pérez, M., & Vela-Jiménez, M. J. (2008). Gender diversity in management: Curvilinear relationships to reconcile findings. Gender in Management, 23(8), 583–597. https://doi.org/10.1108/17542410810912708

Doan, K., & Briquez, V. (2024). Gestion des talents pour une Suisse compétitive et durable : élever le taux de féminisation dans la Supply Chain et l’industrie MEM. Les 15e Rencontres de l’AIRL-SCM: Résilience et Durabilité: De Nouveaux Défis Pour Les Supply Chains (2024), 1–25. https://www.airl-scm.com/_files/ugd/72c39a_6d993cbdb3094fb491cc6f4e0fe35452.pdf

Douaioui, K., Oucheikh, R., Benmoussa, O., & Mabrouki, C. (2024). Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review. Applied System Innovation, 7(5), 93. https://doi.org/10.3390/asi7050093

Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Blome, C., & Luo, Z. (2019). Antecedents of Resilient Supply Chains: An Empirical Study. IEEE Transactions on Engineering Management, 66(1), 8–19. https://doi.org/10.1109/TEM.2017.2723042

Duong, L. N. K., & Chong, J. (2020). Supply chain collaboration in the presence of disruptions: a literature review. In International Journal of Production Research (Vol. 58, Issue 11, pp. 3488–3507). https://doi.org/10.1080/00207543.2020.1712491

El Baz, J., & Ruel, S. (2024). Achieving social performance through digitalization and supply chain resilience in the COVID-19 disruption era: An empirical examination based on a stakeholder dynamic capabilities view. Technological Forecasting and Social Change, 201, 123209. https://doi.org/10.1016/j.techfore.2024.123209

Elkharraz, A., & Moukadem, K. (2019). Contribution de l’usage des systèmes d’information à la résilience de la chaine logistique globale : Élaboration d’un modèle théorique [ Contribution of the use of information systems to the global supply chain resilience : Elaboration of a theoretical mo. International Journal of Innovation and Applied Studies, 25(2), 718–732. https://www.proquest.com/scholarly-journals/contribution-de-lusage-des-systèmes-dinformation/docview/2166013879/se-2

Elleuch, H., Dafaoui, E., Elmhamedi, A., & Chabchoub, H. (2016). Resilience and Vulnerability in Supply Chain: Literature review. IFAC-PapersOnLine, 49(12), 1448–1453. https://doi.org/10.1016/j.ifacol.2016.07.775

Emrouznejad, A., Abbasi, S., & Sıcakyüz, Ç. (2023). Supply chain risk management: A content analysis-based review of existing and emerging topics. Supply Chain Analytics, 3, 100031. https://doi.org/10.1016/j.sca.2023.100031

Evrard Samuel, K., & Ruel, S. (2013). Systèmes d’information et résilience des chaînes logistiques globales. Systèmes d’information & Management, 18(1), 57–85. https://doi.org/10.3917/sim.131.0057

Fueglistaller, U., Fust, A., Brunner, C., & Althaus, B. (2011). Schweizer KMU Studie. Eine Analyse Der Aktuellsten Zahlen-Ausgabe, 1–32. https://www.alexandria.unisg.ch/server/api/core/bitstreams/a08b17b3-75b9-436b-a7e7-1fe6bf175eab/content

Goldbeck, N., Angeloudis, P., & Ochieng, W. (2020). Optimal supply chain resilience with consideration of failure propagation and repair logistics. Transportation Research Part E: Logistics and Transportation Review, 133, 101830. https://doi.org/10.1016/j.tre.2019.101830

Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. https://doi.org/10.1016/j.jbusres.2016.08.004

Hägele, S., Grosse, E. H., & Ivanov, D. (2023). Supply chain resilience: a tertiary study. International Journal of Integrated Supply Management, 16(1), 52–81. https://doi.org/10.1504/IJISM.2023.10050753

Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125(December 2018), 285–307. https://doi.org/10.1016/j.tre.2019.03.001

Hussain, G., Nazir, M. S., Rashid, M. A., & Sattar, M. A. (2023). From supply chain resilience to supply chain disruption orientation: the moderating role of supply chain complexity. Journal of Enterprise Information Management, 36(1), 70–90. https://doi.org/10.1108/JEIM-12-2020-0558

Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922. https://doi.org/10.1016/j.tre.2020.101922

Ivanov, D. (2024a). Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains. Annals of Operations Research, 335(3), 1627–1644. https://doi.org/10.1007/s10479-021-04047-7

Ivanov, D. (2024b). Two views of supply chain resilience. International Journal of Production Research, 62(11), 4031–4045. https://doi.org/10.1080/00207543.2023.2253328

Ivanov, D., & Das, A. (2020). Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: A research note. International Journal of Integrated Supply Management, 13(1), 90–102. https://doi.org/10.1504/IJISM.2020.107780

Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. International Journal of Production Research, 58(10), 2904–2915. https://doi.org/10.1080/00207543.2020.1750727

Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788. https://doi.org/10.1080/09537287.2020.1768450

Ivanov, D., Dolgui, A., Blackhurst, J. V., & Choi, T. M. (2023). Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems. In International Journal of Production Research (Vol. 61, Issue 8, pp. 2402–2415). https://doi.org/10.1080/00207543.2023.2177049

Ivanov, D., Sokolov, B., & Dolgui, A. (2014). The Ripple effect in supply chains: Trade-off “efficiency-flexibility- resilience” in disruption management. International Journal of Production Research, 52(7), 2154–2172. https://doi.org/10.1080/00207543.2013.858836

Jain, V., Kumar, S., Soni, U., & Chandra, C. (2017). Supply chain resilience: model development and empirical analysis. International Journal of Production Research, 55(22), 6779–6800. https://doi.org/10.1080/00207543.2017.1349947

Jiang, B., Rigobon, D., & Rigobon, R. (2022). From Just-in-Time, to Just-in-Case, to Just-in-Worst-Case: Simple Models of a Global Supply Chain under Uncertain Aggregate Shocks. IMF Economic Review, 70(1), 141–184. https://doi.org/10.1057/s41308-021-00148-2

Joglekar, N., & Phadnis, S. (2021). Accelerating supply chain scenario planning. MIT Sloan Management Review, 62(2), 73–76.

Kandil, N., Battaïa, O., & Hammami, R. (2020). Globalisation vs. Slowbalisation: a literature review of analytical models for sourcing decisions in supply chain management. In Annual Reviews in Control (Vol. 49, pp. 277–287). https://doi.org/10.1016/j.arcontrol.2020.04.004

Khan, M. A., Saqib, S., Alyas, T., Ur Rehman, A., Saeed, Y., Zeb, A., Zareei, M., & Mohamed, E. M. (2020). Effective Demand Forecasting Model Using Business Intelligence Empowered with Machine Learning. IEEE Access, 8, 116013–116023. https://doi.org/10.1109/ACCESS.2020.3003790

Kilpatrick, J., & Barter, L. (2020). COVID-19: Managing supply chain risk and disruption. https://www2.deloitte.com/content/dam/Deloitte/ca/Documents/finance/Supply-Chain_POV_EN_FINAL-AODA.pdf?initialSessionID=135-0160994-8021261&ld=SDUSSOADirect&ldStackingCodes=SDUSSOADirect

Kohl, M., Habl, A., Kallali, K., Puff, J., Fottner, J., Oger, R., Lauras, M., & Li, J. (2022). Managing supply chains during the Covid-19 crisis: synthesis of academic and practitioner visions and recommendations for the future. International Journal of Logistics Management, 33(4), 1386–1407. https://doi.org/10.1108/IJLM-07-2021-0375

Kok, S. K., & Akbari, M. (2023). Human Resource Management in Supply Chains. In J. Sarkis (Ed.), The Palgrave Handbook of Supply Chain Management (pp. 1–28). Springer International Publishing. https://doi.org/10.1007/978-3-030-89822-9_38-1

Ma, S., Hao, L., & Aloysius, J. A. (2021). Women are an Advantage in Supply Chain Collaboration and Efficiency. Production and Operations Management, 30(5), 1427–1441. https://doi.org/10.1111/poms.13329

Makridakis, S., & Christodoulou, K. (2019). Blockchain: Current Challenges and Future Prospects/Applications. Future Internet, 11(12), 258. https://doi.org/10.3390/fi11120258

Manuj, I., & Mentzer, J. T. (2008). GLOBAL SUPPLY CHAIN RISK MANAGEMENT. Journal of Business Logistics, 29(1), 133–155. https://doi.org/10.1002/j.2158-1592.2008.tb00072.x

Mensah, P., Merkuryev, Y., & Longo, F. (2015). Using ICT in Developing a Resilient Supply Chain Strategy. Procedia Computer Science, 43, 101–108. https://doi.org/10.1016/j.procs.2014.12.014

Min, H. (2019). Blockchain technology for enhancing supply chain resilience. Business Horizons, 62(1), 35–45. https://doi.org/10.1016/j.bushor.2018.08.012

Moutaoukil, A., Derrouiche, R., & Neubert, G. (2012). Pooling Supply Chain: Literature Review of Collaborative Strategies. In IFIP Advances in Information and Communication Technology: Vol. 380 AICT (pp. 513–525). https://doi.org/10.1007/978-3-642-32775-9_52

Narasimhan, R., & Talluri, S. (2009). Perspectives on risk management in supply chains. In Journal of Operations Management (Vol. 27, Issue 2, pp. 114–118). https://doi.org/10.1016/j.jom.2009.02.001

Nikolopoulos, K., Punia, S., Schäfers, A., Tsinopoulos, C., & Vasilakis, C. (2021). Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions. European Journal of Operational Research, 290(1), 99–115. https://doi.org/10.1016/j.ejor.2020.08.001

Nikookar, E., Stevenson, M., & Varsei, M. (2024). Building an antifragile supply chain: A capability blueprint for resilience and post-disruption growth. Journal of Supply Chain Management, 60(1), 13–31. https://doi.org/10.1111/jscm.12313

Office fédéral de la statistique. (2023). Communiqué de presse 24.02.2023, Le baromètre de l’emploi au 4e trimestre 2022.

Olivares-Aguila, J., & Vital-Soto, A. (2021). Supply Chain Resilience Roadmaps for Major Disruptions. Logistics, 5(4), 78. https://doi.org/10.3390/logistics5040078

Ozdemir, D., Sharma, M., Dhir, A., & Daim, T. (2022). Supply chain resilience during the COVID-19 pandemic. Technology in Society, 68, 101847. https://doi.org/10.1016/j.techsoc.2021.101847

Peck, H. (2006). Reconciling supply chain vulnerability, risk and supply chain management. International Journal of Logistics Research and Applications, 9(2), 127–142. https://doi.org/10.1080/13675560600673578

Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience. Journal of Business Logistics, 31(1), 1–21. https://doi.org/10.1002/j.2158-1592.2010.tb00125.x

Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124–143. https://doi.org/10.1108/09574090910954873

Pujawan, I. N., & Bah, A. U. (2022). Supply chains under COVID-19 disruptions: literature review and research agenda. In Supply Chain Forum (Vol. 23, Issue 1, pp. 81–95). https://doi.org/10.1080/16258312.2021.1932568

Purvis, L., Spall, S., Naim, M., & Spiegler, V. (2016). Developing a resilient supply chain strategy during ‘boom’ and ‘bust.’ Production Planning & Control, 27, 579–590. https://doi.org/10.1080/09537287.2016.1165306

PWC. (2022). Challenges in the supply chain are affecting working capital management. https://www.pwc.ch/en/services/deals/working-capital-report.html

Ruel, S., & Fritz, M. M. C. (2021). Gender diversity in supply chains: towards more sustainable decisions? evidence from interviews. Supply Chain Forum: An International Journal, 22(3), 205–222. https://doi.org/10.1080/16258312.2021.1948307

Ruel, S., Fritz, M., & Subramanian, N. (2020). Gender diversity for sustainability management: developing a research agenda from a supply chain perspective. Logistique & Management, 28(3–4), 224–239. https://doi.org/10.1080/12507970.2020.1827994

Sarkis, J. (2021). Supply chain sustainability: learning from the COVID-19 pandemic. International Journal of Operations and Production Management, 41(1), 63–73. https://doi.org/10.1108/IJOPM-08-2020-0568

Shahed, K. S., Azeem, A., Ali, S. M., & Moktadir, M. A. (2021). A supply chain disruption risk mitigation model to manage COVID-19 pandemic risk. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-12289-4

Sharma, S. K., Srivastava, P. R., Kumar, A., Jindal, A., & Gupta, S. (2023). Supply chain vulnerability assessment for manufacturing industry. Annals of Operations Research, 326(2), 653–683. https://doi.org/10.1007/s10479-021-04155-4

Shen, Z. M., & Sun, Y. (2023). Strengthening supply chain resilience during COVID-19: A case study of JD.com. Journal of Operations Management, 69(3), 359–383. https://doi.org/10.1002/joom.1161

Shishodia, A., Sharma, R., Rajesh, R., & Munim, Z. H. (2023). Supply chain resilience: A review, conceptual framework and future research. International Journal of Logistics Management, 34(4), 879–908. https://doi.org/10.1108/IJLM-03-2021-0169

Singh, J., Gowrishankar, R., Thomas, A. A., Jenifer, V., & Annamuthu, P. (2025). The Talent Crunch: Human Resource Challenges in Supply Chain and Logistics Management. In A. Hamdan & U. Braendle (Eds.), Hamdan, A., Braendle, U. (eds) Harnessing AI, Machine Learning, and IoT for Intelligent Business. Studies in Systems, Decision and Control (pp. 815–825). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-67890-5_73

Spieske, A., & Birkel, H. (2021). Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic. Computers & Industrial Engineering, 158, 107452. https://doi.org/10.1016/j.cie.2021.107452

Swiss Confederation. (2024). Swiss economy – Facts and figures. Federal Department of Foreign Affairs (FDFA. https://www.eda.admin.ch/aboutswitzerland/en/home/wirtschaft/uebersicht/wirtschaft---fakten-und-zahlen.html

Tatoglu, E., Bayraktar, E., Golgeci, I., Koh, S. C. C. L., Demirbag, M., & Zaim, S. (2016). How do supply chain management and information systems practices influence operational performance? Evidence from emerging country SMEs. International Journal of Logistics Research and Applications, 19(3), 181–199. https://doi.org/10.1080/13675567.2015.1065802

Tite, T., Chanson, G., & Gaultier-Gaillard, S. (2014). Gouverner la Supply Chain pour maîtriser les risques RSE. XXIVe Conférence Internationale de Management Stratégique. http://www.strategie-aims.com/events/conferences/25-xxiveme-conference-de-l-aims/communications/3554-gouverner-la-supply-chain-pour-maitriser-les-risques-rse/download

Tukamuhabwa, B. R., Stevenson, M., Busby, J., & Zorzini, M. (2015). Supply chain resilience: Definition, review and theoretical foundations for further study. In International Journal of Production Research (Vol. 53, Issue 18, pp. 5592–5623). https://doi.org/10.1080/00207543.2015.1037934

van Hoek, R. (2020). Research opportunities for a more resilient post-COVID-19 supply chain – closing the gap between research findings and industry practice. International Journal of Operations & Production Management, 40(4), 341–355. https://doi.org/10.1108/IJOPM-03-2020-0165

Wagner, S. M., & Bode, C. (2006). An empirical investigation into supply chain vulnerability. Journal of Purchasing and Supply Management, 12(6), 301–312. https://doi.org/10.1016/j.pursup.2007.01.004

Wasim Layaq, M., Goudz, A., Noche, B., & Atif, M. (2019). Blockchain Technology as a Risk Mitigation Tool in Supply Chain. International Journal of Transportation Engineering and Technology, 5(3), 50. https://doi.org/10.11648/j.ijtet.20190503.12

Wieland, A., & Durach, C. F. (2021). Two perspectives on supply chain resilience. Journal of Business Logistics, 42(3), 315–322. https://doi.org/10.1111/jbl.12271

Wieland, A., & Wallenburg, C. M. (2013). The influence of relational competencies on supply chain resilience: A relational view. International Journal of Physical Distribution and Logistics Management, 43(4), 300–320. https://doi.org/10.1108/IJPDLM-08-2012-0243

World Economic Forum WEF. (2025). Global Gender Gap Report 2025. https://reports.weforum.org/docs/WEF_GGGR_2025.pdf

Xu, Z., Elomri, A., Kerbache, L., & El Omri, A. (2020). Impacts of COVID-19 on Global Supply Chains: Facts and Perspectives. IEEE Engineering Management Review, 48(3), 153–166. https://doi.org/10.1109/EMR.2020.3018420

Ye, F., Liu, K., Li, L., Lai, K.-H., Zhan, Y., & Kumar, A. (2022). Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective. International Journal of Production Economics, 245, 108396. https://doi.org/10.1016/j.ijpe.2021.108396

Zhou, J., Hu, L., Yu, Y., Zhang, J. Z., & Zheng, L. J. (2024). Impacts of IT capability and supply chain collaboration on supply chain resilience: empirical evidence from China in COVID-19 pandemic. Journal of Enterprise Information Management, 37(2), 777–803. https://doi.org/10.1108/JEIM-03-2022-0091

Zinn, W., Goldsby, T. J., & Cooper, M. C. (2018). Researching the Opportunities and Challenges for Women in Supply Chain. In Journal of Business Logistics (Vol. 39, Issue 2, pp. 84–86). https://doi.org/10.1111/jbl.12186

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31-07-2025

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08-10-2024

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Doan, K., Carrino, S., & Rota, M. (2025). La gestion de la chaîne d’approvisionnement à l’heure du COVID-19. Une étude exploratoire en Suisse. Revue Française De Gestion Industrielle. Consulté à l’adresse https://rfgi.fr/rfgi/article/view/1226

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