Effect of Supply Chain Resilience on Performance of Manufacturing Firms in Mombasa County

Authors

  • Kenneth Otieno Ongudi Department of Management Science, Technical University of Mombasa, Kenya
  • Fred Ongisa Kenya Institute of Supplies Examination Board, Kenya
  • Darius Otieno Technical University of Mombasa, Kenya

DOI:

https://doi.org/10.54536/ajsde.v4i1.4430

Keywords:

Collaboration, Manufacturing Firms, Organizational Performance, Risk Management, Supply Chain Efficiency, Supply Chain Resilience

Abstract

Supply chain resilience (SCR) is a crucial factor influencing the performance of manufacturing firms, especially in regions prone to economic and logistical disruptions. This study examines the effect of SCR on the performance of manufacturing firms in Mombasa County, Kenya. It employs a theoretical foundation comprising the information processing theory, dynamic capability view, resource orchestration theory, and strategic choice theory to evaluate key SCR indicators, namely risk management, collaboration, agility, and diversification. A descriptive research design was adopted, targeting 100 manufacturing firms, with data collected from 80 supply chain managers. The study utilized both primary and secondary data, analyzed through SPSS and multiple linear regression models, to establish the impact of SCR on organizational performance. Findings indicate that risk management significantly reduces production costs and enhances customization capabilities. Collaboration fosters efficiency, enabling firms to meet customer demands and improve supply chain synchronization. Agility aids in timely adaptation to disruptions, while diversification strengthens supply chain flexibility and mitigates supply risks. The study concludes that SCR positively affects profitability, competitiveness, and customer satisfaction, recommending that manufacturing firms adopt strategic SCR frameworks to enhance operational efficiency. Future research should explore the role of technology and policy frameworks in advancing SCR strategies.

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References

Abeysekara, N., Wang, H., & Kuruppuarachchi, D. (2019). Effect of supply-chain resilience on firm performance and competitive advantage: A study of the Sri Lankan apparel industry. Business Process Management Journal. https://doi.org/10.1108/BPMJ-09-2018-0241

Abdallah, A. B. (2018). The effect of supply chain agility on export performance: The mediating roles of supply chain responsiveness and innovativeness. Journal of Manufacturing Technology Management, 30(5), 821-839.

Adenso-Díaz, B., Mar-Ortiz, J., & Lozano, S. (2018). Assessing supply chain robustness to links failure. International Journal of Production Research, 56(15), 5104–5117.

Adobor, H., & McMullen, R. S. (2018). Supply chain resilience: A dynamic and multidimensional approach. The International Journal of Logistics Management, 29(4), 1451–1471.

Aityassine, F., Soumadi, M., Aldiabat, B., Al-Shorman, H., Akour, I., Alshurideh, M., & Al-Hawary, S. (2022). The effect of supply chain resilience on supply chain performance of chemical industrial companies. Uncertain Supply Chain Management, 10(4), 1271-1278.

Ageron, B., Bentahar, O., & Gunasekaran, A. (2020, July). Digital supply chain: Challenges and future directions. Supply Chain Forum: An International Journal, 21(3), 133–138.

Allen, K. A. (2020). Validity and reliability of the flourishing scale in a sample of older adults in Iran. Clinical Interventions in Aging, 67, 3681. https://doi.org/10.1080/16258312.2020.1816361

Altay, N., Gunasekaran, A., Dubey, R., & Childe, S. J. (2018). Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: a dynamic capability view. Production Planning & Control, 29(14), 1158-1174.

Al-Talib, M., Melhem, W. Y., Anosike, A. I., Reyes, J. A. G., & Nadeem, S. P. (2020). Achieving resilience in the supply chain by applying IoT technology. Procedia Cirp, 91, 752-757. https://doi.org/10.1080/09537287.2018.1542174

Akintokunbo, O. O., & Victor, A. C. (2020). COVID-19 and supply chain disruption: A conceptual review. Asian Journal of Economics, Business and Account, 19(2), 40–47.

Akwalu, E. K. (2022). The Moderating Effect of Inter-Organization Systems on the Relationship between Supply Chain Relationship Management and Performance of Pharmaceutical Firms in Kenya. International Journal of Business Strategies, 7(1), 48-62.

Antràs, P. (2020). De-globalisation? Global value chains in the post-COVID-19 age (No. w28115). National Bureau of Economic Research.

Anser, M. K., Khan, M. A., Nassani, A. A., Abro, M. M. Q., Zaman, K., & Kabbani, A. (2021). Does COVID-19 pandemic disrupt sustainable supply chain process? Covering some new global facts. Environmental Science and Pollution Research, 28(42), 59792–59804.

Asokan, V. A., Yarime, M., & Esteban, M. (2017). Introducing flexibility to complex, resilient socioecological systems: A comparative analysis of economics, flexible manufacturing systems, evolutionary biology, and supply chain management. Sustainability, 9(1), 1–17.

Awwad, M., Kulkarni, P., Bapna, R., & Marathe, A. (2018, September). Big data analytics in supply chain: A literature review. In Proceedings of the International Conference on Industrial Engineering and Operations Management (Vol. 2018, pp. 418–425).

Banikoi, H., Karky, B. S., Shrestha, A. J., & Aye, Z. M. (2018). A value chain approach to sustainable forest management: Timber supply chain practices for sustainability in Myanmar’s forest sector. Journal of Forest and Livelihood, 17, 1.

Bahrami, M., Shokouhyar, S., & Seifian, A. (2021). Big data analytics capability and supply chain performance: The mediating roles of supply chain resilience and innovation. Modern Supply Chain Research and Applications, 4(1).

Bag, S., Gupta, S., & Foropon, C. (2018). Examining the role of dynamic remanufacturing capability on supply chain resilience in the circular economy. Management Decision. https://doi.org/10.1108/MD-07-2018-0724

Bhat, A. 2019a. Empirical Research: Definition, Methods, Types and Examples. QuestionPro [accessed 25 April 2019]. Available at: https://www.questionpro.com/blog/empirical-research.

Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics capabilities and innovation: The mediating role of dynamic capabilities and moderating effect of the environment. British Journal of Management, 30, 272–298. https://doi.org/10.1111/1467-8551.1234

Carnes, C. M., Chirico, F., Hitt, M. A., Huh, D. W., & Pisano, V. (2017). Resource orchestration for innovation: Structuring and bundling resources in growth- and maturity-stage firms. Long Range Planning, 50(4), 472–486. https://doi.org/10.1016/j.lrp.2016.09.002

Carpenter, B., Gelman, A., Hoffman, M., Lee, D., Goodrich, B., Betancourt, M., et al. (2017). Stan: A probabilistic programming language. Journal of Statistical Software, 76(1), 1–32. https://doi.org/10.18637/jss.v076.i01

Chan, A. T. L., Ngai, E. W. T., & Moon, K. K. L. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259, 486–499.

Chaudhuri, R., Chatterjee, S., Vrontis, D., & Thrassou, A. (2021). Adoption of robust business analytics for product innovation and organizational performance: The mediating role of organizational data-driven culture. Annals of Operations Research, 1–35.

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. https://doi.org/10.1016/j.ijinfomgt.2019.06.002

Child, J. (1972). Organizational structure, environment, and performance: The role of strategic choice. Sociology, 6, 1–22.

Christopher, M., Harrison, A., & van Hoek, R. (2016). Creating the agile supply chain: Issues and challenges. In Developments in logistics and supply chain management (pp. 61–68). Palgrave Macmillan.

Chowdhury, M. M. H., Quaddus, M., & Agarwal, R. (2019). Supply chain resilience for performance: Role of relational practices and network complexities. Supply Chain Management: An International Journal. https://doi.org/10.1108/SCM-09-2018-0332

Chowdhury, M. M. H., & Quaddus, M. (2017). Supply chain resilience: Conceptualization and scale development using dynamic capability theory. International Journal of Production Economics, 188, 185–204.

Cooper, D. R., & Schindler, P. S. (2018). Business research methods (13th ed.). McGraw-Hill Education.

Delic, M., & Eyers, D. 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, 228, Article 107755.

Deloitte. (2020). COVID-19: Managing supply chain risk and disruption.

Ding, J., & Lee, E. S. (2023). How Does Ambidextrous IT Use Affect Supply Chain Integration and Resilience?

Dong, Y., Skowronski, K., Song, S., Venkataraman, S., & Zou, F. (2020). Supply base innovation and firm financial performance. Journal of Operations Management, 66(7–8), 768–796. https://doi.org/10.1002/joom.1107

Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (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.

Dushime, E., Muathe, S. M., & Kavindah, L. (2022). New paradigms on performance of SMEs: The reflection on entrepreneurial innovation in Burundi. International Journal of Research in Business and Social Science, 11(1), 24–32. https://doi.org/10.20525/ijrbs.v11i1.1581

Erickson, J., Baker, J., Barrett, S., Brady, C., Brower, M., Carbonell, R., ... & Lee, K. (2021). End-to-end collaboration to transform biopharmaceutical development and manufacturing. Biotechnology and Bioengineering, 118(9), 3302–3312.

Emre, Ö., Duman, T. Y., Özalp, S., Şaroğlu, F., Olgun, Ş., Elmacı, H., & Çan, T. (2018). Active fault database of Turkey. Bulletin of Earthquake Engineering, 16(8), 3229–3275.

Ezaki, T., Imura, N., & Nishinari, K. (2022). Towards understanding network topology and robustness of logistics systems. Communications in Transportation Research, 2, Article 100064.

Faruquee, M., Paulraj, A., & Irawan, C. A. (2023). The dual effect of environmental dynamism on proactive resilience: Can governance mechanisms negate the dark side? Production Planning & Control, 1-18.

Fadaki, M., Rahman, S., & Chan, C. (2019). Quantifying the degree of supply chain leagility and assessing its impact on firm performance. Asia Pacific Journal of Marketing and Logistics, 31(1), 246–264.

Feng, L., & Yang, W. (2020). Disruption risks in supply chain management: A literature review based on bibliometric analysis. International Journal of Production Research, 58(11), 3508–3526.

Gartner. (2022). Weather the storm: Supply chain resilience in an age of disruption. https://www.gartner.com/en/supply-chain/trends/weathering-thestorm-supply-chain-resilience-in-an-age-of-disruption. (Accessed July 4, 2023).

Gereffi, G. (2020). What does the COVID-19 pandemic teach us about global value chains? The case of medical supplies. Journal of International Business Policy, 3(3), 287–301.

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, Article 101830.

Gomez, M., Mejia, A., Ruddell, B. L., & Rushforth, R. R. (2021). Supply chain diversity buffers cities against food shocks. Nature, 595(7866), 250–254.

Gölgeci, I., & Kuivalainen, O. (2020). Does social capital matter for supply chain resilience? The role of absorptive capacity and marketing-supply chain management alignment. Industrial Marketing Management, 84, 63-74. https://doi.org/10.1016/j.indmarman.2019.05.006.

Grant, D., & Stolt, J. Supply chain resilience in Finnish SME family firms.

Grossman, G. M., Helpman, E., & Lhuillier, H. (2021). Supply chain resilience: Should policy promote diversification or reshoring? (No. w29330). National Bureau of Economic Research.

Habib, S. (2017). MicrobiomeAnalyst: A web-based tool for comprehensive statistical, visual, and meta-analysis of microbiome data. Nucleic Acids Research, 45(W1), W180–W188.

Hasan, M. Z. (2018). Supply chain resilience practices among halal food manufacturers for business performance and sustainability. Journal of Namibian Studies: History, Politics, Culture, 34, 578–591.

Hanelt, A., Bohnsack, R., Marz, D., & Antunes Marante, C. (2021). A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change. Journal of Management Studies, 58(5), 1159–1197.

Hendricks, K. B.,. (2020). Stock market reaction to supply chain disruptions from the 2011 Great East Japan Earthquake. Manufacturing & Service Operations Management, 22(4), 683-699.

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, 285-307. https://doi.org/10.1016/j.tre.2019.03.001.

Hsu, C. H., Li, M. G., Zhang, T. Y., Chang, A. Y., Shangguan, S. Z., & Liu, W. L. (2022). Deploying big data enablers to strengthen supply chain resilience to mitigate sustainable risks based on integrated HOQ-MCDM framework. Mathematics, 10(8), 1233.

Humdan, Al, E. Y., Shi, B., & Behnia, M. (2020). Supply chain agility: A systematic review of definitions, enablers, and performance implications. International Journal of Physical Distribution & Logistics Management.

Ibrahim, S., Al-Kassab, M., & Alawjar, M. (2023). Investigating multicollinearity in factors affecting the number of born children in Iraq. In Proceedings of the International Conference on Data Science and Applications (pp. 123–134). https://doi.org/10.1007/978-981-99-0447-1_7

Ivanov, D. (2018). Revealing interfaces of supply chain resilience and sustainability: A simulation study. International Journal of Production Research, 56(10), 3507–3523. https://doi.org/10.1080/00207543.2017.1343507

Ivanov, D. (2020). Viable supply chain model: Integrating agility, resilience, and sustainability perspectives—Lessons from and thinking beyond the COVID-19 pandemic. Annals of Operations Research, 319(1), 1411–1431.

Ivanov, D., Dolgui, A., Das, A., & Sokolov, B. (2019). Digital supply chain twins: Managing the ripple effect, resilience, and disruption risks by data-driven optimization, simulation, and visibility. In Handbook of ripple effects in the supply chain (pp. 309–332). Springer. https://doi.org/10.1007/978-3-030-14302-2_15

Ivanov, D. (2021). Lean resilience: AURA (active usage of resilience assets) framework for post-COVID-19 supply chain management. The International Journal of Logistics Management, forthcoming. https://doi.org/10.1108/IJLM-11-2020-0448

Kaliyadan, F., & Kulkarni, V. (2019). Types of variables, descriptive statistics, and sample size. Indian Dermatology Online Journal.

Karanja, W. D. (2019). Supply chain financial orchestration and performance of leading supermarkets in Nairobi City County (Doctoral dissertation, University of Nairobi).

Kamalahmadi, M., Shekarian, M., & Mellat Parast, M. (2022). The impact of flexibility and redundancy on improving supply chain resilience to disruptions. International Journal of Production Research, 60(6), 1992–2020.

Katsaliaki, K., Galetsi, P., & Kumar, S. (2022). Supply chain disruptions and resilience: A major review and future research agenda. Annals of Operations Research, 1–38.

Kenya Association of Manufacturers. (2020). Kenya manufacturing sector report 2020.

Kinyua, N. N., & Kamau, C. G. . (2025). Logistics Financing Strategies and Economic Growth in Kenya: A conceptual Framework. East African Finance Journal, 4(1), 36-46. https://doi.org/10.59413/eafj/v4.i1.3

Kirumbi, S. (2019). The impact of financial literacy on the performance of small and medium-scale enterprises: A study of SMEs in Morogoro Municipal (Doctoral dissertation, Mzumbe University).

Kitheka, S. S. (2018). Influence of sourcing ethics on procurement performance of state corporations in Kenya (Doctoral dissertation).

Kraus, S., Clauss, T., Breier, M., Gast, J., Zardini, A., & Tiberius, V. (2020). The economics of COVID-19: Initial empirical evidence on how family firms in five European countries cope with the corona crisis. International Journal of Entrepreneurial Behavior & Research, 26, 1067–1092.

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

Lee, S. M., & Rha, J. S. (2019). Ambidextrous supply chain as a dynamic capability: Building a resilient supply chain. Management Decision, 54(1), 2–23.

Li, G. (2022). Blockchain-supported business model design, supply chain resilience, and firm performance. Transportation Research Part E: Logistics and Transportation Review, 163, 102773.

Liao, Y. (2020). An integrative framework of supply chain flexibility. International Journal of Productivity and Performance Management, 69(6), 1321–1342.

Li, Z. & Jia, J., (2020). Does external uncertainty matter in corporate sustainability performance? Journal of Corporate Finance, 65, 101743.

Lin, Y., Fan, D., Shi, X., & Fu, M. (2021). The effects of supply chain diversification during the COVID-19 crisis: Evidence from Chinese manufacturers. Transportation Research Part E: Logistics and Transportation Review, 155, 102493.

Liu, C. L., Shang, K. C., Lirn, T. C., Lai, K. H., & Lun, Y. V. (2018). Supply chain resilience, firm performance, and management policies in the liner shipping industry. Transportation Research Part A: Policy and Practice, 110, 202–219. https://doi.org/10.1016/j.tra.2017.02.004

Liu, Z., Al Amer, F. M., Xiao, M., et al. (2023). The normality assumption on between-study random effects was questionable in a considerable number of Cochrane meta-analyses. BMC Medicine, 21, 112. https://doi.org/10.1186/s12916-023-02823-9

Mackay, J., Munoz, A., & Pepper, M. (2020). Conceptualising redundancy and flexibility towards supply chain robustness and resilience. Journal of Risk Research, 23(12), 1541–1561.

Mangina, E., Narasimhan, P. K., Saffari, M., & Vlachos, I. (2020). Data analytics for sustainable global supply chains. Journal of Cleaner Production, 255, 120300.

Macdonald, J. R., Zobel, C. W., Melnyk, S. A., & Griffis, S. E. (2018). Supply chain risk and resilience: Theory building through structured experiments and simulation. International Journal of Production Research, 56(12), 4337–4355.

Morris, T. P., White, I. R., & Crowther, M. J. (2019). Using simulation studies to evaluate statistical methods. Statistics in Medicine, 38(11), 2074–2102.

Munir, M., Jajja, M. S. S., Chatha, K. A., & Farooq, S. (2020). Supply chain risk management and operational performance: The enabling role of supply chain integration. International Journal of Production Economics, 227, 107667. https://doi.org/10.1016/j.ijpe.2020.107667

Mugenda, A., & Mugenda, O. (2013). Research methods: Quantitative and qualitative approaches. ACTS Press.

Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339–2360. https://doi.org/10.1080/00207543.2017.1370149

Negri, M., Cagno, E., Colicchia, C., & Sarkis, J. (2021). Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda. Business Strategy and the Environment, 30(7), 2858–2886. https://doi.org/10.1002/bse.2776

Nemeh, A. (2019). Orchestrating resources for FMA in coopetitive NPD. SSRN.

Nieles, M., Pillitteri, V., & Dempsey, K. (2017). An introduction to information security (NIST Special Publication 800-12, Rev. 1). National Institute of Standards and Technology.

Nikkei. (2021). Over 80% of Japan Inc. recast supply chains as pandemic hit: survey. Retrieved 2021/4/27

Ngera, J. K., Karanja, N., & Odhiambo, R. (2018). Influence of supply chain resilience on performance of categorized hospitals in Kenya. European Journal of Logistics, Purchasing and Supply Chain Management, 6(1), 38–52.

Ngozwana, N. (2018). Ethical dilemmas in qualitative research methodology: Researcher’s reflections. International Journal of Educational Methodology, 4(1), 19–28. https://doi.org/10.12973/ijem.4.1.19

Shrestha, N. (2020). Detecting multicollinearity in regression analysis. American Journal of Applied Mathematics and Statistics, 8(2), 39–42. https://doi.org/10.12691/ajams-8-2-1

Ochieng, A. (2018). Supply chain resilience and organizational performance of pharmaceutical manufacturing companies in Nairobi. Retrieved from https://api.semanticscholar.org/CorpusID:169631031

Ozdemir, Ö., Binesh, F., & Erkmen, E. (2022). The effect of target’s CSR performance on M&A deal premiums: A case for service firms. Review of Managerial Science, 16(4), 1001–1034.

Parast, M. (2019). Firm innovation and supply chain resilience: A dynamic capability perspective. International Journal of Logistics, 22(6), 1064–1077. https://doi.org/10.1080/13675567.2019.1683522

Pettit, T. J., Croxton, K. L., & Fiksel, J. (2019). The evolution of resilience in supply chain management: A retrospective on ensuring supply chain resilience. Journal of Business Logistics, 40(1), 56–65. https://doi.org/10.1111/jbl.12202

Pradabwong, J., Braziotis, C., Tannock, J. D. T., & Pawar, K. S. (2017). Business process management and supply chain collaboration: Effects on performance and competitiveness. Supply Chain Management: An International Journal, 22(2), 107–121.

Ramos, P., & Cruz, L. (2021). The impact of COVID-19 on global value chains: Disruption in nonessential goods production. Regional Science Policy & Practice, 13, 32-54.

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.

Reddy, V. K. (2018). Evaluation of multiple linear, neural network, and penalised regression models for prediction of rice yield based on weather parameters for the west coast of India. International Journal of Biometeorology, 62(10), 1809-1822.

Sabahi, S., & Parast, M. M. (2020). Firm innovation and supply chain resilience: A dynamic capability perspective. International Journal of Logistics Research and Applications, 23(3), 254-269. https://doi.org/10.1080/13675567.2019.1683522

Sadikoglu, E., & Demirkesen, S. (2022). Agile supply chain management. In The Palgrave handbook of supply chain management (pp. 1-25). Cham: Springer International Publishing.

Sarker, R. (2017). A quantitative model for disruption mitigation in a supply chain. European Journal of Operational Research, 257(3), 881-895.

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). John Wiley & Sons.

Shekarian, M., & Mellat 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(5), 427-455. https://doi.org/10.1080/13675567.2020.1763935

Schippers, M. C., & Rus, D. C. (2021). Optimizing decision-making processes in times of COVID-19: Using reflexivity to counteract information-processing failures. Frontiers in Psychology, 12, 650525.

Scholten, K., Stevenson, M., & van Donk, D. P. (2020). Dealing with the unpredictable: supply chain resilience. International Journal of Operations & Production Management. https://doi.org/10.1108/IJOPM-01-2020-789

Sriyanto, S., Lodhi, M. S., Salamun, H., Sardin, S., Pasani, C. F., Muneer, G., & Zaman, K. (2021). The role of healthcare supply chain management in the wake of the COVID-19 pandemic: Hot off the press. Foresight, 24(3/4), 429-444.

Slaton, A. E., & Pawley, A. L. (2018). The power and politics of engineering education research design: Saving the ‘Small N’. Engineering Studies, 10(2-3), 133-157.

Soni, G., & Badhotiya, G. K. (2020). Performance indicators for supply chain resilience: Review and conceptual framework. Journal of Industrial Engineering International, 15(1), 105-117. https://doi.org/10.1007/s40092-019-00322-2

Sukapirom, K., & Pattanapanyasat, K. (2018). Data analysis and presentation in flow cytometry. ScienceAsia, 44, 1-7.

Tate, W., Di Mauro, C., Carnovale, S., & Knight, L. (2022). Transitions, opportunities, and challenges–Change and continuity at JPSM. Journal of Purchasing and Supply Management, 28(1), 100755.

Teece, D. J. (2017). Dynamic capabilities and the multinational enterprise. In Globalization: Strategies and Effects (pp. 105-129). Edward Elgar Publishing.

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533.

Trepte, K., & Rice, J. (2018, June 12). Is S&OP in your resilience toolbox? Supply Chain Management Review. https://www.scmr.com/article/is_sop_in_your_resilience_toolbox

Um, J., & Han, N. (2021). Understanding the relationships between global supply chain risk and supply chain resilience: The role of mitigating strategies. Supply Chain Management: An International Journal, 26(2), 240-255.

Ungerer, G. (2021). The impacts and vulnerabilities for people living with spinal cord injury and their service systems of the COVID-19 pandemic in Queensland, Australia. Health & Social Care in the Community, 2023.

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 and Production Management, 40(4), 341-355.

Vanpoucke, E., & Ellis, S. C. (2020). Building supply-side resilience–a behavioural view. International Journal of Operations & Production Management, 40(1), 11-33.

Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research, 118, 253-261.

Wamba, S. F., & Akter, S. (2019). Understanding supply chain analytics capabilities and agility for data-rich environments. International Journal of Operations & Production Management, 39(6), 887-912.

Wang, Y., Yan, F., Jia, F., & Chen, L. (2021). Building supply chain resilience through ambidexterity: An information processing perspective. International Journal of Logistics Research and Applications, 1-18.

Wei, S. (2019). Leveraging interorganizational governance for bridging responses to supply chain disruptions: A polynomial regression analysis. International Journal of Operations & Production Management, 41(8), 1350-1378.

Wong, C. W., Lirn, T. C., Yang, C. C., & Shang, K. C. (2020). Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization. International Journal of Production Economics, 226, 107610.

World Economic Forum (WEF). (2020). How China can rebuild global supply chain resilience after COVID-19. https://www.weforum.org/agenda/2020/03/coronavirus-and-global-supply-chains

Yang, K., Tu, J., & Chen, T. (2019). Homoscedasticity: An overlooked critical assumption for linear regression. General Psychiatry, 32(5), e100148. https://doi.org/10.1136/gpsych-2019-100148

Yang, J., Xie, H., Yu, G., & Liu, M. (2021). Antecedents and consequences of supply chain risk management capabilities: An investigation in the post-coronavirus crisis. International Journal of Production Research, 59(5), 1573-1585.

Yang, M. H., & Zhang, L. (2017). Ntire 2017 challenge on single image super-resolution: Methods and results. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops (pp. 114-125).

Young, D. S. (2017). Handbook of regression methods (pp. 109-136). CRC Press.

Yu, W., Jacobs, M. A., Chavez, R., & Yang, J. (2019). Dynamism, disruption orientation, and resilience in the supply chain and the impacts on financial performance: A dynamic capabilities perspective. International Journal of Production Economics, 218, 352-362.

Published

2025-04-09

How to Cite

Ongudi, K. O., Ongisa, F., & Otieno, D. (2025). Effect of Supply Chain Resilience on Performance of Manufacturing Firms in Mombasa County. American Journal of Social Development and Entrepreneurship, 4(1), 33–48. https://doi.org/10.54536/ajsde.v4i1.4430