The role of double-loop learning in manufacturing supply chains. The study of the disruptions driven by COVID-19 in Poland

    Marzena Frankowska   Affiliation
    ; Artur Swierczek Affiliation
    ; Katarzyna Cheba   Affiliation


A global pandemic of coronavirus COVID-19 affects the manufacturing supply chains significantly. This study aims to identify and evaluate the reaction of manufacturing supply chains in using the concept of double-loop learning to mitigate the disruptions induced by COVID-19 at the early stage of pandemic. A two-stage research process has been developed that firstly involves determining the learning pattern of enterprises in industrial supply chains and identifying actions taken. Then, the relationship between taking actions in the field of double-loop learning in the manufacturing supply chains and expecting a change in their market situation, and having knowledge in the field of adaptation to changes caused by the COVID-19 pandemic was examined. The study shows that there is a high level of caution in taking proactive measures in supply chains and a lack of knowledge in the field of adapting industrial supply chains to sudden disruptions caused by the COVID-19 pandemic.

First published online 01 December 2022 

Keyword : manufacturing supply chain, organizational learning, double-loop learning, disruptions, COVID-19, taxonomic analysis

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Frankowska, M., Swierczek, A., & Cheba, K. (2023). The role of double-loop learning in manufacturing supply chains. The study of the disruptions driven by COVID-19 in Poland. Technological and Economic Development of Economy, 29(1), 253–277.
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Jan 20, 2023
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Adobor, H., & McMullen, R. S. (2018). Supply chain resilience: A dynamic and multidimensional approach. International Journal of Logistics Management, 29(4), 1451–1471.

Argyris, C. (1990). Overcoming organizational defenses: Facilitating organizational learning. Allyn and Bacon.

Argyris, C. (2003). A life full of learning, Organization Studies, 24(7), 1178–1193.

Argyris, C. (2004). Double-loop learning and implementable validity. In H. Tsoukas & N. Mylonopoulos (Eds.), Organizations as knowledge systems (pp. 29–45). Palgrave Macmillan.

Argyris, C., & Schön, D. (1978). Organizational learning: A theory of action perspective. Addison-Wesley, Reading, MA.

Argyris, C., & Schön, D. A. (1996). Organizational learning II: Theory, method, and practice. Addison-Wesley.

Bagodi, V., & Mahanty, B. (2013). Double loop learning in the Indian two‐wheeler service sector. The Learning Organization, 20(4/5), 264–278.

Barlow, J., & Jashapara, A. (1998). Organisational learning and inter-firm “partnering” in the UK construction industry. Learning Organization, 5(2), 86–98.

Beckett, R., & Murray, P. (2000). Learning by auditing: A knowledge creating approach. TQM Magazine, 12(2), 125–136.

Ben Yahia, W., Ayadi, O., & Masmoudi, F. (2017). A fuzzy-based negotiation approach for collaborative planning in manufacturing supply chains. Journal of Intelligent Manufacturing, 28(8), 1987–2006.

Bessant, J., Kaplinsky, R., & Lamming, R. (2003). Putting supply chain learning into practice. International Journal of Operations & Production Management, 23(2), 167–184.

Biotto, M., De Toni, A. F., & Nonino, F. (2012). Knowledge and cultural diffusion along the supply chain as drivers of product quality improvement: The illycaffe case study. International Journal of Logistics Management, 23(2), 212–237.

Blaschke, L. M. (2012). Heutagogy and lifelong learning: A review of heutagogical practice and self-determined learning. International Review of Research in Open and Distributed Learning, 13(1), 56–71.

Carless, D. (2019). Feedback loops and the longer-term: Towards feedback spirals. Assessment & Evaluation in Higher Education, 44(5), 705–714.

Chaston, I., Badger, B., & Sadler-Smith, E. (2001). Organizational learning: An empirical assessment of process in small UK manufacturing firms. Journal of Small Business Management, 39(2), 139–151.

Cheba, K. (2019). Sustainable international competitiveness of EU countries. Theoretical and empirical study. CeDeWu, Warszawa (in Polish).

Cheba, K., Bąk, I., & Szopik-Depczyńska, K. (2020). Sustainable competitiveness as a new economic category – definition and measurement assessment. Technological and Economic Development of Economy, 26(6), 1399–1421.

Cheema-Fox, A., LaPerla, B. R., Serafeim, G., & Wang, H. S. (2020). Corporate resilience and response during COVID-19. SSRN.

Chen, H. Y., Das, A., & Ivanov, D. (2019). Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry. International Journal of Information Management, 49, 330–342.

Choi, T. M. (2020). Innovative “bring-service-near-your-home” operations under Corona-virus (COVID-19/SARS-CoV-2) outbreak: Can logistics become the messiah? Transportation Research Part E: Logistics and Transportation Review, 140, 101961.

Chopra, S., & Sodhi, M. S. (2004). Managing Risk to avoid supply-chain break down. MIT Sloan Management Review, 46(1), 53–61.

Choularton, R. (2001). Complex learning: Organizational learning from disasters. Safety Science, 39(1–2),


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.

Coghlan, D., & Coughlan, P. (2015). Effecting change and learning in networks through network action learning. Journal of Applied Behavioral Science, 51(3), 375–400.

Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131–156.

Craighead, C. W., Ketchen D. J., & Darby, J. L. (2020). Pandemics and supply chain management research: Toward atheoretical toolbox. Decision Sciences, 51(4), 838–866.

Do, Q., Mishra, N., Wulandhari, N. B. I., Ramudhin, A., Sivarajah, U., & Milligan, G. (2021). Supply chain agility responding to unprecedented changes: Empirical evidence from the UK food supply chain during COVID-19 crisis. Supply Chain Management, 26(6), 737–752.

Dun & Bradstreet. (2020). Business impact of the coronavirus (Special briefing, pp. 1–10).

Dunlop, C. A. (2010). The temporal dimension of knowledge and the limits of policy appraisal: Biofuels policy in the UK. Policy Science, 43, 343–363.

Elluru, S., Gupta, H., Kaur, H., & Singh, S. P. (2019). Proactive and reactive models for disaster resilient supply chain. Annals of Operations Research, 283, 199–224.

Fasan, M., Soerger Zaro, E., Soerger Zaro, C., Porco, B., & Tiscini, R. (2021). An empirical analysis: Did green supply chain management alleviate the effects of COVID-19? Business Strategy and the Environment, 30(5), 2702–2712.

Fischer, T. B., Kidd, S., Jha-Thakur, U., Gazzola, P., & Peel, D. (2009). Learning through EC directive based SEA in spatial planning? Evidence from the Brunswick Region in Germany. Environmental Impact Assessment Review, 29(6), 421–428.

Flint, D. J., Larsson, E., Gammelgaard, B., & Mentzer, J. T. (2005). Logistics innovation: A customer value-oriented social process. Journal of Business Logistics, 26(1), 113–147.

Fontaine, R., Oziev, G., & Hassan-Hussein, H. (2012). Evaluating Chris Argyris’s ideas: An Islamic perspective. Journal of Management Development, 31(10), 1046–1057.

Frankowska, M. (2018). Współpraca przedsiębiorstw w klastrowych łańcuchach dostaw [Cooperation of enterprises in cluster supply chains]. CeDeWu, Warszawa (in Polish).

Fulmer, R. M., & Keys, J. B. (2004). A conversation with Chris Argyris: The father of organizational learning. In K. Starkey, S. Tempest, & A. McKinlay (Eds.), How organizations learn: Managing the search for knowledge (2nd ed.). Thomson Learning.

Goldsby, T. J., & García‐Dastugue, S. J. (2003). The manufacturing flow management process. International Journal of Logistics Management, 14(2), 33–52.

Golgeci, I., & Arslan, A. (2014). Internationalization of emerging economy firms to developed economies: A discussion on institutional pressures and marketing and supply chain capabilities. Journal of Strategic Marketing, 22(7), 587–602.

Gottlieb, J. Z., & Sanzgiri, J. (1996). Towards an ethical dimension of decision making in organizations. Journal of Business Ethics, 15(12), 1275–1285.

Govindan, K., Mina, H., & Alavi, B. (2020). A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). Transportation Research Part E, Logistics and Transportation Review, 138, 101967.

Guo, B. H. W., & Yiu, T. W. (2016). Developing leading indicators to monitor the safety conditions of construction projects. Journal of Management in Engineering, 32(1).

Hayes, J., & Allinson, C. W. (1998). Cognitive style and the theory and practice of individual and collective learning in organizations. Human Relations, 51(7), 847–871.

Hellwig, Z. (1968). Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju oraz zasoby i strukturę wykwalifikowanych kadr [Application of the taxonomic method to the typological division of countries by level of their development as well as resources and structure of qualified personnel]. Przegląd Statystyczny, 15(4), 307–327.

Henderson, S. (1997). Black swans don’t fly double loops: The limits of the learning organization? Learning Organization, 4(3), 99–105.

Heracleous, L. (1998). Strategic thinking or strategic planning? Long Range Planning, 31(3), 481–487.

Hobbs, J. E. (2020). Food supply chains during the COVID-19 pandemic. Canadian Journal of Agricultural Economics, 68(2), 171–176.

Hovlid, E., Bukve, O., Haug, K., Aslaksen, A. B., & von Plessen, C. (2012). Sustainability of healthcare improvement: What can we learn from learning theory? BMC Health Services Research, 12, 235.

Huang, S. H., Uppal, M., & Shi, J. (2002). A product driven approach to manufacturing supply chain selection. Supply Chain Management, 7(4), 189–199.

Huang, Y. T., & Chu, W. (2010). Enhancement of product development capabilities of OEM suppliers: Inter- and intraorganisational learning. Journal of Business and Industrial Marketing, 25(2), 147–158.

Hwang, G. J., & Wang, S. Y. (2016). Single loop or double loop learning: English vocabulary learning performance and behavior of students in situated computer games with different guiding strategies. Computers & Education, 102, 188–201.

Inman, A., Winter, M., Wheeler, R., Vrain, E., Lovett, A., Collin, A., Jones, I., Johnes, P., & Cleasby, W. (2018). An exploration of individual, social and material factors influencing water pollution mitigation behaviours within the farming community. Land Use Policy, 70, 16–26.

Intergovernmental Panel on Climate Change. (2012). Managing the risks of extreme events and disasters to advance climate change adaptation: A special report of working groups I and II of the intergovernmental panel on climate change. IPCC. Cambridge University Press.

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.

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.

Jaaron, A. A. M., Pham, D. T., & Cogonon, M. E. (2021). Systems thinking to facilitate double loop learning in tourism industry: A COVID-19 response strategy. Journal of Sustainable Tourism.

Johannessen, A., & Hahn, T. (2013). Social learning towards a more adaptive paradigm? Reducing flood risk in Kristianstad municipality, Sweden. Global Environmental Change-Human and Policy Dimensions, 23(1), 372–381.

Kim, D. H. (1993). The link between individual and organizational learning. Sloan Management Review, 35(1), 37–50.

Kisperska-Moron, D., & Swierczek, A. (2011). The selected determinants of manufacturing postponement within supply chain context: An international study. International Journal of Production Economics, 133(1), 192–200.

Knemeyer, A. M., Zinn, W., & Eroglu, C. (2009). Proactive planning for catastrophic events in supply chains. Perspectives on Risk Management in Supply Chains, 27(2), 141–153.

Kreibich, H., Seifert, I., Thieken, A. H., Lindquist, E., Wagner, K., & Merz, B. (2011). Recent changes in flood preparedness of private households and businesses in Germany. Regional Environmental Change, 11(1), 59–71.

Kukuła, K. (2000). Metoda unitaryzacji zerowanej [The zero-unitarization method]. Wydawnictwo Naukowe PWN.

Kululanga, G. K., Mccaffer, R., Price, A. D. F., & Edum-Fotwe, F. (1999). Learning mechanisms employed by construction contractors. Journal of Construction Engineering and Management, 125(4), 215–223.

Kwak, D., Seo, Y., & Mason, R. (2018). Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains. International Journal of Operations and Production Management, 38(1), 2–21.

Ladi, S., & Tsarouhas, D. (2020). EU economic governance and Covid-19: Policy learning and windows of opportunity. Journal of European Integration, 42(8), 1041–1056.

Lagadec, P. (1997). Learning processes for crisis management in complex organizations. Journal of Contingencies and Crisis Management, 5(1), 24–31.

Lin, Q., Zhao, S., Gao, D., Lou, Y., Yang, S., Musa, S. S., Wang, M. H., Cai, Y., Wang, W., Yang, L., & He, D. (2020). A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action. International Journal of Infectious Diseases, 93, 211–216.

Linton, T., & Vakil, B. (2020, March). Coronavirus is proving that we need more resilient supply chains. Harvard Business Review.

Magableh, G. M. (2021). Supply chains and the COVID‐19 pandemic: A comprehensive framework. European Management Review, 18(3), 363–382.

Majumdar, A., Sanjib, M., & Sinha, K. (2020). COVID-19 debunks the myth of socially sustainable supply chain: A case of the clothing industry in South Asian countries. Sustainable Production and Consumption, 24, 150–155.

March, J. E. (1991). Exploration and exploitation in organizational learning. Organizational Science, 2(1), 71–87.

Marusak, A., Sadeghiamirshahidi, N., Krejci, C. C., Mittal, A., Beckwith, S., Cantu, J., Morris, M., & Grimm, J. (2021). Resilient regional food supply chains and rethinking the way forward: Key takeaways from the COVID-19 pandemic. Agricultural Systems, 190(C), 103101.

Mazutis, D., & Slawinski, N. (2008). Leading organizational learning through authentic dialogue. Management Learning, 39(4), 437–456.

McAvoy, J., & Butler, T. (2009). A failure to learn in a software development team: The unsuccessful introduction of an agile method. In W. Wojtkowski, G. Wojtkowski, M. Lang, K. Conboy, & C. Barry (Eds.), Information systems development: Challenges in practice, Theory and Education (pp. 1–13). Springer.

McCann, C., Asenova, D., & Bailey, S. J. (2014). Organisational risk-learning: A case study of social care capital projects in Scottish local authorities. Journal of Risk and Governance, 3(1), 1–21.

McCrea, B. (2020). Measuring COVID-19’s impact on the world’s supply chains. SourceToday. measuring-covid19s-impact-on-the-worlds-supply-chains

Mellat-Parast, M., & Digman, L. A. (2008). Learning: the interface of quality management and strategic alliances. International Journal of Production Economics, 114(2), 820–829.

Mentzer, J. T., De Witt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1–25.

Meyer, A., Walter, W., & Seuring, S. (2021). The impact of the coronavirus pandemic on supply chains and their sustainability: A text mining approach. Frontiers in Sustainability, 2, 631182.

Nordhagen, S., Igbeka, U., Rowlands, H., Shine, R. S., Heneghan, E., & Tench, J. (2021). COVID-19 and small enterprises in the food supply chain: Early impacts and implications for longer-term food system resilience in low- and middle-income countries. World Development, 141(C), 105405.

Norrman, A., & Jansson, U. (2004). Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International Journal of Physical Distribution and Logistics Management, 34(5), 434–456.

Ogulin, R., Guzman, G., & Nuwangi, S. M. (2020). Knowledge capabilities in supply chain networks: A taxonomy. Journal of Knowledge Management, 24(3), 655–674.

Paul, S. K., & Chowdhury, P. (2020). A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19. International Journal of Physical Distribution & Logistics Management, 51(2), 104–125.

Paul, S. K., Moktadir, M. A., & Ahsan, K. (2021). Key supply chain strategies for the post-COVID-19 era: Implications for resilience and sustainability. The International Journal of Logistics Management, Vol. ahead-of-print No. ahead-of-print.

Pittaway, L., & Thorpe, R. (2012). A framework for entrepreneurial learning: A tribute to Jason Cope. Entrepreneurship and Regional Development, 24(9–10), 837–859.

Pournader, M., Kach, A., & Talluri, S. (2020). A review of the existing and emerging topics in supply chain risk management literature. Decision Sciences, 51(4), 867–919.

Queiroz, M. M., Ivanov, D., Dolgui, A., & Fosso Wamba, S. (2020). Impacts of epidemic outbreaks on supply chains: Mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research.

Ramish, A., & Aslam, H. (2016). Measuring supply chain knowledge management (SCKM) performance based on double/triple loop learning principle. International Journal of Productivity and Performance Management, 65(5), 704–722.

Reason, J. T., Carthey, J., & de Leval, M. R. (2001). Diagnosing vulnerable system syndrome: An essential prerequisite to effective risk management. Quality in Health Care, 10(Suppl. 2), 21–25.

Rice, J., & Caniato, F. (2003). Building a secure and resilient supply network. Supply Chain Management Review, 7(5), 22–30.

Romme, A. G. L., & van Witteloostuijn, A. (1999). Circular organizing and triple loop learning. Journal of Organizational Change Management, 12(5), 439–453.

Rowan, N. J., & Laffey J. G. (2020). Challenges and solutions for addressing critical shortage of supply chain for personal and protective equipment (PPE) arising from coronavirus disease (COVID-19) pandemic – Case study from the Republic of Ireland. Science of the Total Environment, 725, 138532.

Ruhl, J. B. (2011). General design principles for reliance and adaptive capacity in legal systems-with applications to climate change adaptation. North Carolina Law Review, 89(5), 1373–1401.

Sarkis, J., Cohen, M. J., Dewick, P., & Schröder, P. (2020). A brave new world: Lessons from the

COVID-19 pandemic for transitioning to sustainable supply and production. Resources, Conservation, and Recycling, 159, 104894.

Scribner, J. P., Cockrell, K. S., Cockrell, D. H., & Valentine, J. W. (1999). Creating professional communities in schools through organizational learning: An evaluation of a school improvement process. Educational Administration Quarterly, 35(1), 130–160.

Senge, P. (1990). The fifth discipline, the art of practice of the learning organization. Random House.

Sheffi, Y. (2001). Supply chain management under the threat of international terrorism. International Journal of Logistics Management, 12(2), 1–11.

Sheffi, Y., & Rice, J. B. Jr (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review, 47(1), 41–48.

Silvestre, B. S. (2015). Sustainable supply chain management in emerging economies: Environmental turbulence, institutional voids and sustainability trajectories. International Journal of Production Economics, 167, 156–169.

Simon, H. A. (1991). Models of my life. Basic Books.

Skipper, J. B., & Hanna, J. B. (2009). Minimizing supply chain disruption risk through enhanced flexibility. International Journal of Physical Distribution & Logistics Management, 39(5), 404–427.

Smith, E. (2020, February 17). Coronavirus could impact 5 million companies worldwide, new research. CNBC.

Soler M. E., & Bassetto, S. (2008). Analyse des risques de la chaine d’approvisionnements. Supply Chain, Janvier.

Soltani, E., Liao, Y., & Wang, W. (2011). A learning organisation approach to managing service quality. In Proceedings of International Joint Conference on Service Sciences (pp. 89–91). Taipei, Taiwan.

Staal, A. (2020). Impact of COVID-19 on procurement and supply chains – a way forward for New Zealand? (pp. 1–5). Auckland University of Technology.

Stacey, R. (1993). Strategic thinking and the management of change: International perspectives on organisational dynamics. Kogan Page.

Stacey, R. (1996). Complexity and creativity in organizations. Berrett-Koehler Publishers.

Stavropoulou, C., Doherty, C., & Tosey, P. (2015). How effective are incident-reporting systems for improving patient safety? A systematic literature review. MILBANK Quarterly, 93(4), 826–866.

Swierczek, A. (2018). Using the third-loop learning in the identification of the adaptive behavior of resilient supply chains. Transport Economics and Logistics. Modelling of Logistics Processes and Systems, 78, 7–17.

Theodorakopoulos, N., Ram, M., Shah, M., & Boyal, H. (2005). Experimenting with supply chain learning (SCL): Supplier diversity and ethnic minority businesses. International Entrepreneurship and Management Journal, 1(4), 461–478.

Thomas, A., Dorrington, P., Costa, F., Loudon, G., Francis, M., & Fisher, R. (2017). Organisational learning capability in SMEs: An empirical development of innovation in the supply chain. Cogent Business and Management, 4(1), 1364057.

Thomson, C., Mickovski, S., & Orr, C. (2014, September). Promoting double loop learning in flood risk management in the Scottish context. In A. Raiden & E. Aboagye-Nimo (Eds.), Proceedings 30th Annual ARCOM Conference (pp. 1185–1194). Portsmouth, UK. Association of Researchers in Construction Management.

Thun, J. H., Druke, M., & Hoenig, D. (2011). Managing uncertainty – an empirical analysis of supply chain risk management in small and medium-sized enterprises. International Journal of Production Research, 49(18), 5511–5525.

Tosey, P., Visser, M., & Saunders, M. N. K. (2012). The origins and conceptualizations of “triple-loop” learning: A critical review. Management Learning, 43(3), 291–307.

van Hoek, R. (2001). The rediscovery of postponement: A literature review and directions for research. Journal of Operations Management, 19(2), 161–184.

Wong, P. S. P., Cheung, S. O., & Fan, K. L. (2009). Examining the relationship between organizational learning styles and project performance. Journal of Construction Engineering and Management, 135(6), 497–507.

Yang, B., Burns, N. D., & Backhouse, C. J. (2004). Management of uncertainty through postponement. International Journal of Production Research, 42(6), 1049–1064.

Yang, Y., Jia, F., & Xu, Z. (2019). Towards an integrated conceptual model of supply chain learning: An extended resource-based view. Supply Chain Management, 24(2), 189–214.

Zhang, H.-Y., & Lv, S. (2015). Intellectual Capital and technological innovation: The mediating role of supply chain learning. International Journal of Innovation Science, 7(3), 199–210.

Zioło, M., Filipiak, M. Z., Bąk, I., & Cheba, K. (2019). How to design more sustainable financial systems: The roles of environmental, social, and governance factors in the decision-making process.Sustainability, 11(20), 5604.