Does Firm Age Matter? Industry 4.0, Supply Chain Flexibility, and Corporate Resilience in Manufacturing Environments
DOI:
https://doi.org/10.1229/tecempresarialjournal.v21i2.822Keywords:
Industry 4.0, Supply Chain Management, Corporate Resilience, Firm AgeAbstract
This study examines the relationship between Industry 4.0 Strategy, Supply Chain Flexibility, and Corporate Resilience in manufacturing firms, considering Firm Age as a moderating variable. Drawing on Dynamic Capabilities Theory, the Resource-Based View, and Contingency Theory, the research proposes that Industry 4.0 Strategy enhances Corporate Resilience both directly and indirectly through Supply Chain Flexibility. The empirical analysis was conducted using data from 304 manufacturing firms from the automotive, aerospace, metalworking, chemical, and textile sectors. The research model was tested through partial least squares structural equation modeling using SmartPLS 4.1.1.8. The results show that Industry 4.0 Strategy has a positive effect on Supply Chain Flexibility and Corporate Resilience. Likewise, Supply Chain Flexibility positively influences Corporate Resilience and mediates the relationship between Industry 4.0 Strategy and Corporate Resilience. However, Firm Age does not significantly moderate the proposed relationships. These findings contribute to the literature by showing that digital strategy strengthens resilience mainly through flexible supply chain capabilities, while organizational age does not necessarily condition this process in manufacturing environments.
References
Bag, S., Gupta, S., & Kumar, S. (2021). ndustry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development. International Journal of Production Economics, 231, 107844.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17 (1), 99-120. doi: 10.1177/014920639101700108.
Belhadi, A., Kamble, S., Venkatesh, M., Jabbour, C., & Benkhati, I. (2022b). Building supply chain resilience and efficiency through additive manufacturing: an ambidextrous perspective on the dynamic capability view. International Journal of Production Economics, 249, 108516. DOI:10.1016/j.ijpe.2022.108516.
Belhadi, A., Kamble, S., Wamba, S., & Queiroz, M. (2022a). Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework. International Journal of Production Research, 60 (14), 4487-4507. https://doi.org/10.1080/00207543.2021.1950935.
Belhadi, A., Mani, A., Kamble, S., Khan, S., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of Operations Research, 333, 627-652. doi: 10.1007/s10479-021-03956-x.
Benner, M. (2009). Securities Analysts and Incumbent Response to Radical Technological Change: Evidence from Digital Photography and Internet Telephony. Organization Science, 21, 1-309. https://doi.org/10.1287/orsc.1080.0395.
Bluedorn, A., Kalliath, T., Strube, M., & Martin, G. (1999). Polychronicity and the Inventory of Polychronic Values (IPV):The development of an instrument to measure a fundamental dimension of organizational culture. Journal of Managerial Psychology, 14(3/4), 205–231. DOI: 10.1108/02683949910263747.
Bouguerra, A., Golgeci, I., Gligor, D., Khan, Z., & Arslan, A. (2023). Strategic Agility and Product Development in Emerging Markets: The Role of Employee Resilience and Self-Efficacy as Microfoundations. IEEE Transactions on Engineering Management, 71, 1-38, doi:10.1109/tem.2023.3333218.
Bouncken, R., Qiu, Y., Sinkovics, N., & Kursten, W. (2021). Qualitative research: extending the range with flexible pattern matching. Review of Managerial Science, 15, 251-273. https://doi.org/10.1007/s11846-021-00451-2.
Bustinza, O., Vedrell-Herrero, F., Perez-Arostegui, M., & Parry, G. (2019). Technological capabilities, resilience capabilities and organizational effectiveness. The International Journal of Human Resource Management, 30 (8), 1370-1392. https://doi.org/10.1080/09585192.2016.1216878.
Choi, Y., & Phan, P. (2014). Exploration, Exploitation, and Growth Through New Product Development: The Moderating Effects of Firm Age and Environmental Adversity. IEEE Transactions on Engineering Management, 61(4), 567–577. https://doi.org/10.1109/TEM.2014.2310633.
Chowdhury, M., & Quaddus, M. (2017). Supply chain resilience: Conceptualization and scale development using dynamic capability theory. International Journal of Production Economics, 188, 185-204.
Coad, A., Holm, J., Krafft, J., & Quatraro, F. (2017). Firm age and performance. Journal of Evolutionary Economics , 28, 1-11. DOI 10.1007/s00191-017-0532-6.
Delbufalo, E. (2022). Disentangling the multifaceted effects of supply base complexity on supply chain agility and resilience. International Journal of Physical Distribution & Logistics Management, 52 (8), 700-721. https://doi.org/10.1108/IJPDLM-07-2021-0302.
Dijkstra, T., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39, 297-316. https://doi.org/10.25300/MISQ/2015/39.2.02.
Domingos, E., Pereira, C., Armellini, F., Danjouj, C., & Facchini, F. (2024). Enabling Technologies as a Support to Achieve Resilience in Supply Chain Operations. IEEE Transactions on Engineering Management, 71, 15292–15305. https://doi.org/10.1109/TEM.2024.3477946.
Donaldson, L. (2001). Reflections on Knowledge and Knowledgeintensive Firms. Human Relations, 54 (7), 955-963. https://doi.org/10.1177/0018726701547008.
Dubey, R., Gunasekaran, A., Childe, A., Fosso Wamba , S., Roubaud, D., & Foropon, C. (2019). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 110-128. https://doi.org/10.1080/00207543.2019.1582820.
Dubey, R., Gunasekaran, A., Childe, S., Wamba, S., & Roubaud, D. (2021). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 59 (1), 110–128. https://doi.org/10.1080/00207543.2019.1582820.
Duchek, S. (2020). Organizational resilience: a capability-based conceptualization. Business Research, 13(1), 215-246. https://doi.org/10.1007/s40685-019-0085-7.
El Baz, J., & Ruel, S. (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, 233, 107972. Doi:10.1016/j.ijpe.2020.107972.
Esteve-Perez , S., & Mañez-Castillejo, J. (2018). The Resource-Based Theory of the Firm and Firm Survival. Small Business Economics, 30, 231-249. DOI 10.1007/s11187-006-9011-4.
Fantini, P., Pinzone, M., & Taisch, M. (2020). Placing the operator at the center of Industry 4.0 design: Modelling and assessing human activities within cyber-physical systems. Computers & Industrial Engineering, 139 (1), 1-12. https://doi.org/10.1016/j.cie.2018.01.025.
Fasano, F., La Rocca, M., Sanchez-Vidal, F., & Boutouar, Y. (2025). Why SMEs go to crowdfunding? The role of financial constraints and agency issues. Small Business Economics, 65 (2), 1-25, doi: 10.1007/s11187-025-01046-x.
Gu, M., Yang, L., & Huo, B. (2021). The impact of information technology usage on supply chain resilience and performance: An ambidexterous view. International Journal of Production Economics, 232, 107956. Doi: 10.1016/j.ijpe.2020.107956.
Gunasekaran, A., Subramanian, N., & Rahman, S. (2015). Supply chain resilience: role of complexities and strategies. International Journal of Production Research, 53, 6809-6819. https://doi.org/10.1080/00207543.2015.1093667.
Hair, J., Hult, G., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd Edition, Sage Publications Inc., Thousand Oaks, CA.
Hair, J., Hult, T., & Ringle, C. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). SAGE Publications, Inc.
Hair, J., Risher, J., Sarstedt, M., & Ringle, C. (2019). When to Use and How to Report the Results of PLS-SEM. European Business Review, 31, 2-24. https://doi.org/10.1108/EBR-11-2018-0203.
Hair, J., Sarstedt, M., Hopkins, L., & Kuppelwieser , V. (2014). artial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26 (2), 106–121, doi: https://doi.org/10.1108/EBR-10-2013-0128.
Han, Y. (2024). Navigating Supply Chain Resilience in the Knowledge Economy: Insights from Digital Technologies and Organizational Information Processing. Journal of Knowledge Economy, 16, 9898-9931. https://doi.org/10.1007/s13132-024-02289-x.
Henseler, J. (2021). Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables. Psychometrika, 88 (2), 730-732. https://doi.org/10.1007/s11336-022-09889-z.
Henseler, J., Ringle, C., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8.
Honjo, Y., Kato, M., & Okamuro, H. (2014). R&D investment of start-up firms: does founders’ human capital matter? Small Business Economics, 42, 207-220. DOI 10.1007/s11187-013-9476-x.
Huergo, E., & Jaumandreu , J. (2004). Firms' age, process innovation and productivity growth. International Journal of Industrial Organization, 22 (4), 541-559. https://doi.org/10.1016/j.ijindorg.2003.12.002.
INEGI (2024). National Statistical Directory of Economic Units. Available at: https://www.inegi.org.mx/app/mapa/denue/default.aspx. (s.f.).
Ivanov, D., Blackhurst, J., & Das, A. (2021a). Supply chain resilience and its interplay with digital technologies: making innovations work in emergency situations. International Journal of Physical Distribution & Logistics Management, 51 (2), 97–103, doi: https://doi.org/10.1108/IJPDLM-03-2021-409.
Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829–846. https://doi.org/10.1080/00207543.2018.1488086.
Ivanov, D., Guo, Z., Shen, B., & Chang, Q. (2024). Analysis, optimization, and collaboration in digital manufacturing and supply chain systems. International Journal of Production Economics, 269, 109130. Doi: 10.1016/j.ijpe.2023.109130.
Ivanov, D., Tsipoulanidis, A., & Schönberger , J. (2021). Supply Chain Risk Management and Resilience. Global Supply Chain and Operations Management, 485-520. https://doi.org/10.1007/978-3-030-72331-6_15.
Kazancoglu, I., Ozbiltekin-Pala, M., Mangla, S., Kumar, A., & Kazancoglu , Y. (2023). Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19. Annals of Operations Research, 322, 217-240. https://doi.org/10.1007/s10479-022-04775-4.
Kock, N. (2015). Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach. International Journal of e-collaboration, (IJeC), 11, 1-10. https://doi.org/10.4018/ijec.2015100101.
Koh, L., Orzes, G., & Jia, F. (2019). The fourth industrial revolution (Industry 4.0): technologies disruption on operations and supply chain management. International Journal of Operations & Production Management, 39 (6), 817–828, doi: https://doi.org/10.1108/IJOPM-08-2019-788.
Li, Y., & Han, Y. (2025). The unexpected effect of digital inclusive finance on: enterprise resilience. Finance Research Letters, 78, 107148. https://doi.org/10.1016/j.frl.2025.107148.
Liu, M., Lin, T., Chu, F., Ding, Y., Zheng, F., & Chu, C. (2023). Bi-objective optimization for supply chain ripple effect management under disruption risks with supplier actions. International Journal of Production Economics, 265,108997. Doi:10.1016/j.ijpe.2023.108997.
Liu, W., Yuan, C., Wang, J., Lim, M., & Hou, J. (2024 ). “Digital supply chain announcements and firm’s stock market value: an empirical study from China. Transportation Research Part E: Logistics and Transportation Review, 187, 103604. doi: 10.1016/j.tre.2024.103604.
Lockett, A., Thompson, S., & Morgenstern, U. (2009). The development of the resource-based view of the firm: a critical appraisal. International Journal of Management Reviews, 11, 9-28, doi: 10.1111/j.1468-2370.2008.00252.x.
Loderer, C., & Waelchli, U. (2011). Firm Age and Performance. S&P Global Market Intelligence, 52, http://dx.doi.org/10.2139/ssrn.1342248.
Loderer, C., & Waelchli, U. (2015). Corporate Aging and Takeover Risk . Review of Finance, 19 (6), 2277–2315. https://doi.org/10.1093/rof/rfu048.
Loderer, C., Stulz, R., & Waelchli, U. (2017). Firm Rigidities and the Decline in Growth Opportunities. Management Science, 63 (9), 2773-3145. https://doi.org/10.1287/mnsc.2016.2478.
Lou, G., Guo, Y., Lai, Z., Ma, H., & Tu, X. (2024). Optimal resilience strategy for manufacturers to deal with supply disruptions: Investment in supply stability versus dual sourcing. Computers & Industrial Engineering, 190, 110030. https://doi.org/10.1016/j.cie.2024.110030.
Manupati, V., Schoenherr, T., Ramkumar, M., Panigrahi, S., Sharma, Y., & Mishra, P. (2022). Recovery strategies for a disrupted supply chain network: Leveraging blockchain technology in pre- and post-disruption scenarios. International Journal of Production Economics, 245, 108389. doi: 10.1016/j.ijpe.2021.108389.
McGee, J., & Peterson, M. (2017). The Long-Term Impact of Entrepreneurial Self-Efficacy and Entrepreneurial Orientation on Venture Performance. Journal of Small Business Management, 57 (3), 720-737. https://doi.org/10.1111/jsbm.12324.
Medase, S., & Abdul-Basit, S. (2020). External knowledge modes and firm-level innovation performance: Empirical evidence from sub-Saharan Africa. Journal of Innovation & Knowledge, 5 (2), 81-95. https://doi.org/10.1016/j.jik.2019.08.001.
Mishra, N., Pande Sharma, P., & Chaudhary, S. (2025). Redefining agile supply chain practices in the disruptive era: a case study identifying vital dimensions and factors. Journal of Global Operations and Strategic Sourcing, 18 (1), 64–90, doi: https://doi.org/10.1108/JGOSS-04-2023-0031.
Moosavi, J., Fathollahi-Fard, A., & Dulebenets, M. (2022). Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies. International Journal of Disaster Risk Reduction, 75, 102983. https://doi.org/10.1016/j.ijdrr.2022.102983.
Namdar, J., Modi, S., & Blackhurst, J. (2025). Diversify or Concentrate? Supply Chain Responses to Policy Uncertainty. Journal of Supply Chain Management, 61, 62-82. https://doi.org/10.1111/jscm.12336.
Namdar, J., Torabi, S., Sahebjamniac, N., & Pradhan, N. (2021). Business continuity-inspired resilient supply chain network design. International Journal of Production Research , 59 (5), 1331-1367. https://doi.org/10.1080/00207543.2020.1798033.
Nankervis, A., Connell, J., Cameron, R., Montague, A., & Prikshat, V. (2021). Are We There yet?” Australian professionals and the Fourth Industrial Revolution. Asia Pacific Journal of Human Resources, 59(1), 3–19. https://doi.org/10.1111/1744-7941.12245.
Ning, L., & Yao, D. (2023 ). The impact of digital transformation on supply chain capabilities and supply chain competitive performance. Sustainability, 15 (13), 10107. doi: 10.3390/su151310107.
Ortiz-de-Mandojana, N., & Bansal, P. (2016). The long-term benefits of organizational resilience through sustainable business practices. Strategic Manaagement Journal, 37 (8), 1615-1631. https://doi.org/10.1002/smj.2410Digital Object Identifier (DOI).
Overby, E., Bharadwaj, A., & Sambamurthy, V. (2006). Enterprise agility and the enabling role of information technology. European Journal of Information Systems, 15 (2), 120-131. https://doi.org/10.1057/palgrave.ejis.3000600.
Pattanayak, S., Ramkumar, M., Goswami, M., & Rana, M. (2024). “Blockchain technology and supply chain performance: the role of trust and relational capabilities. International Journal of Production Economics, 271, 109198, doi: 10.1016/j.ijpe.2024.109198.
Pellegrino, R., Costantino, N., & Tauro, D. (2018). The value of flexibility in mitigating supply chain transportation risks. International Journal of Production Research, 59, 6252-6269. https://doi.org/10.1080/00207543.2020.1811417.
Petruzzelli, A., Ardito, L., & Savino, T. (2018). Maturity of knowledge inputs and innovation value: The moderating effect of firm age and size. Journal of Business Research, 86, 190-201. Doi:10.1016/j.jbusres.2018.02.009.
Podsakoff, P., MacKenzie, S., & Podsakoff, N. (2012). Sources of Method Bias in Social Science Research and Recommendations on How to Control It. Annual Review of Psychology, 63, 539-569.http://dx.doi.org/10.1146/annurev-psych-120710-100452.
Podsakoff, P., MacKenzie, S., Lee, Y., & Podsakoff, N. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88 (5), 879-903. DOI:10.1037/0021-9010.88.5.879.
Radu, E., Dima, A., Dobrota, E., Badea, A., Madsen, O., Dobrin, C., & Stanciu, S. (2023). Global trends and research hotspots on HACCP and modern quality management systems in the food industry. Heliyon, 9 (7), e18232. https://doi.org/10.1016/j.heliyon.2023.e18232.
Rahaman, M. (2011). Access to financing and firm growth. Journal of Banking and Finance, 35 (3), 709-723, doi: 10.1016/j.jbankfin.2010.09.005.
Raj, A., Dwivedi, G., Sharma, A., de Sousa, L., Jabbour, A., & Rajak, S. (2020). Barriers to the adoption of Industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224(1), 1-12. https://doi.org/10.1016/j.ijpe.2019.107546.
Rapaccini, M., Saccani, N., Kowalkowski, C., Paiola, M., & Adrodegari, F. (2020). Navigating disruptive crises through service-led growth: The impact of COVID-19 on Italian manufacturing firms. Industrial Marketing Management, 88, 225-237.
Rezaei Somarin, A., Asian, S., Jolai, F., & Chen, S. (2018). Flexibility in service parts supply chain: a study on emergency resupply in aviation MRO. International Journal of Production Research, 56, 3547-3562. https://doi.org/10.1080/00207543.2017.1351640.
Ruiz, J., Bru, J., & Escoto, R. (2021). Smart Digital Twin for ZDM-based job-shop scheduling. IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT).
Sawik, T. (2022). Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study. Omega The International Journal of Management Science, 109, 102596. Doi: 10.1016/j.omega.2022.102596.
Shekarian, M., & Parast, M. (2021). An Integrative approach to supply chain disruption risk and resilience management: a literature review. International Journal of Logistics Research and Applications, 24, 427-455. https://doi.org/10.1080/13675567.2020.1763935.
Shoomal , A., Jahanbakht, M., Componation, P., & Ozay, D. (2024). Enhancing supply chain resilience and efficiency through internet of things integration: Challenges and opportunities. Internet of Things, 27, 101324. https://doi.org/10.1016/j.iot.2024.101324.
Simchi-Levi, D., & Wei, Y. (2018). Increasing Supply Chain Robustness through Process Flexibility and Inventory. Production and Operations Management, 27 (8), https://doi.org/10.1111/poms.12887.
Singh, R. (2024). Building sustainable supply chains: Role of supply chain flexibility in leveraging information system flexibility and supply chain capabilities. Sustainable Futures, 8, 100368. https://doi.org/10.1016/j.sftr.2024.100368.
Singh, R., & Mathiyazhagan, K. (2024). Integrating flexibility and sustainability in supply chains: a practice-based view on leadership, knowledge and digital quality management practices. The International Journal of Logistics Management, 35 (6), 1961–1980, doi: https://doi.org/10.1108/IJLM-02-2024-0082.
Sørensen, J., & Stuart, T. (2000). Aging, Obsolescence, and Organizational Innovation. Administrative Science Quarterly, 45, https://doi.org/10.2307/2666980.
Sreedevi, R., & Saranga, H. (2017). Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation. International Journal of Production Economics, 193, 332-342. Doi: 10.1016/j.ijpe.2017.07.024.
Stadtfeld, G., & Gruchmann, T. (2023). Dynamic capabilities for supply chain resilience: a meta-review. The International Journal of Logistics Management, 35 (2), 623-648. doi: 10.1108/ijlm-09-2022-0373.
Stevenson , M., & Spring, M. (2007). Flexibility from a supply chain perspective: definition and review. International Journal of Operations & Production Management, 27 (7), 685–713, doi: https://doi.org/10.1108/01443570710756956.
Teece, D. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28, 1319-1350. https://doi.org/10.1002/smj.640.
Teece, D. (2018). Business Models and Dynamic Capabilities. Long Range Planning, 51, 40-49. https://doi.org/10.1016/j.lrp.2017.06.007.
Teece, D., Pisano, G., & Shuen, A. (1997). Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18, 509-533. http://dx.doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z.
Tian, S., Wu, L., Pia Ciano, L., Ardolino, M., & Pawar, K. (2024). Enhancing innovativeness and performance of the manufacturing supply chain through datafication: the role of resilience. Computers and Industrial Engineering, 188, 109841. doi: 10.1016/j.cie.2023.109841.
Tiwari, P. (2024). Moderating role of supply chain re-engineering capabilities on artificial intelligence-based risk management and supply chain agility: a resource-based view. Anticipating Future Business Trends: Navigating Artificial Intelligence Innovations , 167-179. doi: 10.1007/978-3-031-63569-4_15.
Tukamuhabwa , B., Stevenson, M., Busby, J., & Zorzini, M. (2015). Supply chain resilience: definition, review and theoretical foundations for further study. International Journal of Production Research, 53 (18), 5592-5623. https://doi.org/10.1080/00207543.2015.1037934.
Vyas, N., Dasgupta, D., & Sosic, G. (2024). Supply Chain Network Design: How to Create Resilient, Agile and Sustainable Supply Chains. Kogan Page Publishers.
Wu, M., Fu, C., Holguin-Veras, J., Enz, M., & Mondy, C. (2024). The impact of digital technology deployment on mitigating supply chain disruptions: Evidence from Chinese automotive manufacturers during the COVID-19 crisis. Journal of Purchasing and Supply Management, 30 (3), 100936. Doi: 10.1016/j.pursup.2024.100936.
Xie, J., & Chen, C. (2024). Retraction note: supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model. Operations Management Research, 17 (2), 786, doi: 10.1007/s12063-024-00452-w.
Yang, Z., Guo, X., Sun, J., Zhang, Y., & Wang, Y. (2024). What Does Not Kill You Makes You Stronger: Supply Chain Resilience and Corporate Sustainability Through Emerging IT Capability. IEEE Transactions on Engineering Management, 71, 10507. doi: 10.1109/TEM.2022.3209613.
Zahra , S., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203. DOI: 10.5465/AMR.2002.6587995.
Zamani, E., Smyth, C., Gupta, S., & Dennehy, D. (2023). Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review. Annals of Operations Research, 327, 605-632. DOI:10.1007/s10479-022-04983-y.
Zhang, L., Wang , Y., Su, J., & Zhang, Q. (2023). Resource-based theory: development trajectory, knowledge framework, and prospects. Nankai Business Review, 26 (4), 246-248.
Zhao, N., Hong, J., & Lau, K. (2024). Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model. International Journal of Production Economics, 259, 108817. Doi:10.1016/j.ijpe.2023.108817.
Zic, S., Zic, J., & Dukic, G. (2023). Efficient planning and optimization of inventory replenishments for sustainable supply chains operating under (R, s, S) policy. Sustainable Futures, 5, 100110. DOI:10.1016/j.sftr.2023.100110.
Zillner, M. (2022). Commodity Price Risks: Strategies to Increase Supply Chain Resilience. Supply Chain Resilience , 217-232. https://link.springer.com/chapter/10.1007/978-3-030-95401-7_18.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 TEC EMPRESARIAL
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
