Understanding the relationship between supply chain risk and lean operations performance

• Autorzy: Alsmairat Mohammad A. K. , Mushtaha Alaa S. , Hammad Mona S.A.

Identyfikatory

DOI

10.17512/pjms.2023.27.1.01

Warianty tytułu

PL

Zrozumienie związku między ryzykiem łańcucha dostaw a skutecznością operacji lean

• Języki publikacji: EN

Abstrakty

EN

The main purpose of this study is to examine the effect of supply chain (SC) risk on lean operation performance (LOP) along with the role of supply chain resilience (SCR) as a mediator in this relationship among manufacturing companies. A quantitative approach was employed to investigate how supplier, demand, and transportation risks impact lean operations performance through the mediation of SCR. This study involved conducting an online survey of 255 manufacturing companies in the Middle East. The researchers used a hypothesis-testing deductive approach to test their conceptual model, and the results were analyzed using Smart PLS software. These findings indicate that supplier, demand, and transportation risks significantly affect SCR. Moreover, a direct path effect was found between SC risk and lean operational performance. This study emphasizes the relationship between SCR and its mediating effect on SC risk mitigation and lean operations performance. Through empirical evidence, this study demonstrated that SCR is a crucial characteristic of logistics that can aid in mediating the association between SC risk mitigation and lean operational performance. It provides valuable insights for managers, policymakers, and stakeholders regarding the significance of implementing these three enablers to enhance lean operational performance in manufacturing firms. This study presents a unique perspective on the mediating role of SC resilience in the Middle East, which has not been extensively studied in the literature. The findings could provide insights for practitioners in the region to enhance their SC risk management and lean operation performance.

PL

Głównym celem niniejszego opracowania jest zbadanie wpływu ryzyka związanego z łańcuchem dostaw (Supply Chain - SC) na skuteczność operacji lean (Lean Operation Performance - LOP) wraz z rolą odporności łańcucha dostaw (Supply Chain Resilience - SCR) jako pośrednika w tej relacji między firmami produkcyjnymi. Zastosowano metodę ilościową w celu zbadania, w jaki sposób ryzyko związane z dostawcami, popytem i transportem wpływa na skuteczność operacji lean poprzez pośrednictwo SCR. Badanie obejmowało przeprowadzenie ankiety internetowej wśród 255 firm produkcyjnych na Bliskim Wschodzie. Badacze wykorzystali dedukcyjną metodę testowania hipotez do sprawdzenia swojego modelu koncepcyjnego, a wyniki przeanalizowano za pomocą oprogramowania Smart PLS. Wyniki wskazują, że ryzyko związane z dostawcami, popytem i transportem znacząco wpływa na SCR. Ponadto stwierdzono bezpośredni efekt ścieżki między ryzykiem SC a skutecznością operacyjną lean. Badanie to podkreśla związek między SCR i jego pośredniczącym wpływem na ograniczanie ryzyka SC i LOP. Dzięki dowodom empirycznym badanie to wykazało, że SCR jest kluczową cechą logistyki, która może pomóc w pośredniczeniu w powiązaniu między ograniczaniem ryzyka SC a skutecznością operacji lean. Dostarczają one cennych informacji dla menedżerów, osób odpowiedzialnych za wyznaczanie kierunków polityki i innych interesariuszy na temat znaczenia wdrożenia tych trzech czynników w celu zwiększenia skuteczności operacyjnej lean w firmach produkcyjnych. Badanie to przedstawia unikalną perspektywę pośredniczącej roli odporności SC na Bliskim Wschodzie, która nie była szeroko badana w literaturze. Wyniki badania mogą zapewnić praktykom w regionie wgląd w poprawę zarządzania ryzykiem SC i skuteczności operacji lean.

Słowa kluczowe

EN

supply chain risks; lean operations; performance; supply chain resilience

PL

ryzyka łańcucha dostaw; operacje lean; skuteczność; odporność łańcucha dostaw

• Wydawca: Czestochowa University of Technology
• Czasopismo: Polish Journal of Management Studies
• Rocznik: 2023
• Tom: Vol. 27, No. 1
• Strony: 7--25
• Opis fizyczny: Bibliogr. 48 poz., rys., tab.

Twórcy

autor

Alsmairat Mohammad A. K.

• College of Business Administration, American University in the Emirates, UAE
• Business Department, Luminus Technical university college, Jordan

• https://orcid.org/0000-0001-8543-2811

autor

Mushtaha Alaa S.

• Administration American University in the Emirates, UAE

• https://orcid.org/0000-0003-1073-7666

autor

Hammad Mona S.A.

• College of Business Administration, American
• University in the Emirates, UAE; Cairo University, Egypt

• https://orcid.org/0000-0002-2736-2517

Bibliografia

• 1.Abeysekara, N., Wang, H. and 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, 25(7), 1673-1695.
• 2.Al-Shboul, M.A., Alsmairat, M.A.K., (2023), Enabling supply chain efficacy through SC risk mitigation and absorptive capacity: an empirical investigation in manufacturing firms in the Middle East region - a moderated-mediated model, Supply Chain Management.
• 3.Alkhatib, S., (2022). An Advanced Fuzzy Approach for Assessing Supply Chain Resilience in Developing Economies. International Journal of Operational Research in press.
• 4.Alsmairat, M. A., (2023). Big data analytics capabilities, SC innovation, customer readiness, and digital SC performance: the mediation role of SC resilience. International Journal of Advanced Operations Management, 15(1), 82-97.
• 5.Alsmairat, M. A., (2021). Transformative supply chain drivers during covid-19: A customer perspective. Polish Journal of Management Studies, 24(2), 9-23.
• 6.Altay, N., Gunasekaran, A., Dubey, R. and 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 and Control, 29(14), 1158-1174.
• 7.Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O. and Venkatesh, M., (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological forecasting and social change, 163, 120447.
• 8.Ben-Daya, M., Hassini, E. and Bahroun, Z., (2022). A conceptual framework for understanding the impact of the Internet of Things on supply chain management. Operations and Supply Chain Management: An International Journal, 15(2), 251-268.
• 9.Brandon‐Jones, E., Squire, B., Autry, C. W. and Petersen, K. J., (2014). A contingent resource‐ based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3), 55-73.
• 10.Brusset, X., Teller, C., (2017). Supply chain capabilities, risks, and resilience. International Journal of Production Economics, 184, 59-68.
• 11.Can Saglam, Y., Yildiz Çankaya, S. and Sezen, B., (2021). Proactive risk mitigation strategies and supply chain risk management performance: an empirical analysis for manufacturing firms in Turkey. Journal of Manufacturing Technology Management, 32(6), 1224-1244.
• 12.Centobelli, P., Cerchione, R. and Ertz, M., (2020). Agile supply chain management: where did it come from and where will it go in the era of digital transformation? Industrial Marketing Management, 90, 324-345.
• 13.Chowdhury, M. M. H., Quaddus, M. and Agarwal, R., (2019). Supply chain resilience for performance: role of relational practices and network complexities. Supply Chain Management: An International Journal.
• 14.Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D. and 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.
• 15.Fornell, C., Larcker, D. F., (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
• 16.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.
• 17.Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P. and Ray, S., (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook (p. 197). Springer Nature.
• 18.Hair, J. F., Risher, J. J., Sarstedt, M. and Ringle, C. M., (2019), When to use and how to report the results of PLS-SEM, European Business Review, 31(1), 2-24.
• 19.Hasani, A., Khosrojerdi, A., (2016). Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study. Transportation Research Part E: Logistics and Transportation Review, 87, 20-52.
• 20.Henseler, J., Ringle, C. M. and 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.
• 21.Hernandez-Matias, J. C., Ocampo, J. R., Hidalgo, A. and Vizan, A., (2020). Lean manufacturing and operational performance: Interrelationships between human-related lean practices. Journal of Manufacturing Technology Management, 31(2), 217-235.
• 22.Ho, W., Zheng, T., Yildiz, H. and Talluri, S., (2015). Supply chain risk management: a literature review. International Journal of Production Research, 53(16), 5031-5069.
• 23.Hosseini, S., Ivanov, D. and Dolgui, A., (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285-307.
• 24.Jain, V., Kumar, S., Soni, U. and Chandra, C., (2017). Supply chain resilience: model development and empirical analysis. International Journal of Production Research, 55(22), 6779-6800.
• 25.Jajja, M. S. S., Chatha, K. A. and Farooq, S., (2018). Impact of supply chain risk on agility performance: Mediating role of supply chain integration. International journal of production economics, 205, 118-138.
• 26.Kamalahmadi, M. Parast, M. M., (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International journal of production economics, 171, 116-133.
• 27.Khan, M. T., Idrees, M. D., Rauf, M., Sami, A., Ansari, A. and Jamil, A., (2022). Green supply chain management practices’ impact on operational performance with the mediation of technological innovation. Sustainability, 14(6), 3362.
• 28.Khanuja, A., Jain, R. K., (2022). The mediating effect of supply chain flexibility on the relationship between supply chain integration and supply chain performance. Journal of Enterprise Information Management, 35(6), 1548-1569.
• 29.Kinra, A., Ivanov, D., Das, A. and Dolgui, A., (2020). Ripple effect quantification by supplier risk exposure assessment. International Journal of Production Research, 58(18), 5559-5578.
• 30.Li, B., Li, Y., (2017). Internet of Things drives supply chain innovation: A research framework. International Journal of Organizational Innovation, 9(3), 71-92.
• 31.Li, G., Fan, H., Lee, P. K. and Cheng, T. C. E., (2015). Joint supply chain risk management: An agency and collaboration perspective. International Journal of Production Economics, 164, 83-94.
• 32.Liu, C. L., Lee, M. Y., (2018). Integration, supply chain resilience, and service performance in third-party logistics providers. The international journal of logistics management.
• 33.Panigrahi, R. R., Jena, D., Meher, J. R. and Shrivastava, A. K., (2022). Assessing the impact of supply chain agility on operational performances-a PLS-SEM approach. Measuring Business Excellence.
• 34.Park, K. C., (2022). Exploring the effects of lean practices and supply chain disruption on performance. International Journal of Services and Operations Management, 43(1), 88-108.
• 35.Pettit, T. J., Croxton, K. L. and 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.
• 36.Preacher, K. J., Rucker, D. D. and Hayes, A. F., (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185-227.
• 37.Ramezankhani, M. J., Torabi, S. A. and Vahidi, F., (2018). Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach. Computers and Industrial Engineering, 126, 531-548.
• 38.Routroy, S., Bhardwaj, A., Sharma, S. K. and Rout, B. K., (2018). Analysis of manufacturing supply chain agility performance using Taguchi loss functions and design of experiment. Benchmarking: An International Journal, 25(8), 3296-3319.
• 39.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.
• 40.Santoso, R. W., Siagian, H., Tarigan, Z. J. H. and Jie, F., (2022). Assessing the benefit of adopting ERP technology and practicing green supply chain management toward operational performance: An evidence from Indonesia. Sustainability, 14(9), 4944.
• 41.Shahbaz, M. S., Rasi, R. Z. R., Ahmad, M. B. and Sohu, S., (2018). The impact of supply chain collaboration on operational performance: Empirical evidence from manufacturing of Malaysia. International Journal of Advanced and Applied Sciences, 5(8), 64-71.
• 42.Simba, S., Kotzé, T., Agigi, A. and Niemann, W., (2017). Supply chain risk management processes for resilience: A study of South African grocery manufacturers. Journal of Transport and Supply Chain Management, 11(1), 1-13.
• 43.Tukamuhabwa, B., Stevenson, M. and Busby, J., (2017). Supply chain resilience in a developing country context: a case study on the interconnectedness of threats, strategies and outcomes. Supply Chain Management, 22(6), 486-505.
• 44.Wagner, S. M., Bode, C., (2009). Dominant risks and risk management practices in supply chains. Supply chain risk: A handbook of assessment, management, and performance, 271- 290.
• 45.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.
• 46.World Economic Forum., (2020). The Economic Effects of COVID-19 around the World, Rosamond Hutt. Available online: https://www.weforum.org/agenda/2020/02/coronaviruseconomic-effects-global-economy-trade-travel.
• 47.Yu, K., Luo, B. N., Feng, X. and Liu, J., (2018). Supply chain information integration, flexibility, and operational performance: An archival search and content analysis. The International Journal of Logistics Management, 29(1), 340-364.
• 48.Zhuo, N., Ji, C. and Yin, N., (2021). Supply chain integration and resilience in China’s pig sector: case study evidences from emerging institutional arrangements. Environmental Science and Pollution Research, 28, 8310-8322.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).