Impact of Supply Chain Practices on Their Performance in an Environment of Uncertainty and Disruptions
DOI:
https://doi.org/10.24425/mper.2025.154928Abstract
A dynamic business environment presents a high degree of uncertainty for the evolving world. This calls for new business practices. Organisations’ supply chain management must address disruptions and uncertainties arising from globalisation. The study’s major objectives were to understand the role of supply chain practices in moderating the influence of supply chain disruptions on supply chain performance and environmental uncertainty on supply chain performance. This research is set in the context of two South Indian states, which account for 94% of India’s coir manufacturing and export. Partial least squares-based structural equation modelling was used to test the hypotheses in the work. The moderating effect of supply chain practice on the relationship between environmental uncertainty, supply chain disruptions, and supply chain performance has not been confirmed. Hence, this finding calls for adopting disruption-resilient practices in the supply chain management by organisations to stay competitive in an evolving world and an environment of uncertainty.References
Alamsjah, F., & Asrol, M. (2022). Supply chain ambidexterity and performance under uncertainty: The case of inter-island logistics in Indonesia. Uncertain Supply Chain Management, 10(3), 759–770.
Aramyan, L.H., Lansink, A.G.O., Van Der Vorst, J.G., & Van Kooten, O. (2007). Performance measurement in agri-food supply chains: a case study. Supply chain management: an international Journal. 12(4), 304-315.
Bartlett, C.A., & Ghoshal, S. (1997). The myth of the generic manager: new personal competencies for new management roles. California Management Review, 40(1), 92–116.
Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139–161.
Beamon, B.M. (1999). Measuring supply chain performance. International journal of operations & production management. 19(3), 275–292.
Bode, C., Wagner, S.M., Petersen, K.J., & Ellram, L.M. (2008). Understanding responses to supply chain disruptions: Insights from perspectives on information processing and resource dependence. Academy of Management Journal, 54(4), 833–856.
Boon-itt, S., & Wong, C.Y. (2011). The moderating effects of technological and demand uncertainties on the relationship between supply chain integration and customer delivery performance. International Journal of Physical Distribution & Logistics Management. 41(3), 253–276.
Burgess, K., Singh, P.J., & Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research. International Journal of operations & production Management. 26(7), 703–729.
Chapman, R.L., Soosay, C., & Kandampully, J. (2002). Innovation in logistic services and the new business model: a conceptual framework. Managing Service Quality: An International Journal. 33(7), 630–650.
Child, J. (1972). Organizational structure, environment and performance: The role of strategic choice. Sociology, 6(1), 1–22.
Childerhouse, P., & Towill, D.R. (2004). Reducing uncertainty in European supply chains. Journal of Manufacturing Technology Management 15(7), 585–598.
Christopher, M. (2004). Supply chains: a marketing perspective. Understanding supply chains, (Oxford, 2004; online edn, Oxford Academic, 31 Oct. 2023), DOI: 10.1093/oso/9780199259328.003.0002.
Chowdhury, M.M.H., Quaddus, M., & Chowdhury, M. (2023). Managing relational practices for performance improvement in a complex supply chain network: the mediating roles of proactive and reactive resilience in apparel industry of Bangladesh. The International Journal of Logistics Management, 34(1), 34–59.
Chopra, S., & Sodhi, M.S. (2004). Managing risk to avoid supply-chain breakdown. MIT Sloan Management Review.
Cohen, M.P. (1998). Determining sample sizes for surveys with data analyzed by hierarchical linear models. Journal of Official Statistics, 14(3), 267.
Cooke, D. L. (2003). Learning from incidents. In 21st System Dynamics Conference, NYC, New York (pp. 1–30).
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.
Fawcett, S.E., Magnan, G.M., & McCarter, M.W. (2008). A three-stage implementation model for supply chain collaboration. Journal of Business Logistics, 29(1), 93–112.
Fornell, C., & Larcker, D.F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3).
Giunipero, L.C., & Eltantawy, R.A. (2004). Securing the upstream supply chain: a risk management approach. International Journal of Physical Distribution & Logistics Management, 34(9), 698–713.
Haarhaus, T., & Liening, A. (2020). Building dynamic capabilities to cope with environmental uncertainty: The role of strategic foresight. Technological Forecasting and Social Change, 155, 120033.
Hair, J.F., Sarstedt, M., Ringle, C.M., & Mena, J.A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.
Hallikas, J., Karvonen, I., Pulkkinen, U., Virolainen, V.M., & Tuominen, M. (2004). Risk management processes in supplier networks. International Journal of Production Economics, 90(1), 47–58.
Hooper, D.C. (2010). & Mullen J., MR (2008). Structural equation modeling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53–60.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204.
James, N., & George, R. (2018). Exploring the Influence of Environmental Uncertainty and Supply Chain Practices: A Quarterly. SCMS Journal of Indian Management, 15(4), 22–31.
Jap SD. 1999. Pie-expansion efforts: collaboration processes in buyer–supplier relationships. Journal of Marketing Research, 36(4), 461–475.
Jarque, C.M., & Bera, A.K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255-259.
Jiao, H., Alon, I., & Cui, Y. (2011). Environmental dynamism, innovation, and dynamic capabilities: the case of China. Journal of Enterprising Communities: People and Places in the Global Economy, 5(2), 131–144.
Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics: research and applications, 6(4), 197–210.
Kandemir, D., Yaprak, A., & Cavusgil, S.T. (2006). Alliance orientation: conceptualisation, measurement, and impact on market performance. Journal of the academy of marketing science, 34(3), 324–340.
Kaur, K. (2021). The early impact of COVID-19 on textile industry: an empirical analysis. Management and Labour Studies, 46(3), 235–247.
Kim, H.J., & Kim, B.K. (2016). An entrepreneurial paradox: the moderating effect of the external environment. Asian Journal of Technology Innovation, 24(2), 222–233.
Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7).
Kumar, S., Liu, J., & Scutella, J. (2015). The impact of supply chain disruptions on stockholder wealth in India. International Journal of Physical Distribution & Logistics Management.
Lee, Y.H., Cho, M.K., Kim, S.J., & Kim, Y.B. (2002). Supply chain simulation with discrete–continuous combined modelling. Computers & Industrial Engineering, 43(1-2), 375–392.
Li, S., Rao, S.S., Ragu-Nathan, T.S., & Ragu-Nathan, B. (2005). Development and validation of a measurement instrument for studying supply chain management practices. Journal of Operations Management, 23(6), 618–641.
Li, S., Ragu-Nathan, B., Ragu-Nathan, T.S., & Rao, S.S. (2006). The impact of supply chain management practices on competitive advantage and organisational performance. Omega, 34(2), 107–124.
Machalaba, D., & Kim, Q. (2002). West Coast docks are shut down after a series of work disruptions. The Wall Street Journal, 1.
Mason-Jones, R., & Towill, D.R. (2000, January). Coping with uncertainty: Reducing “bullwhip” behaviour in global supply chains. Supply Chain Forum: An International Journal, Taylor & Francis. 1(1), 40–45
Miles, R.E., & Snow, C.C. (2007). Organisation theory and supply chain management: An evolving research perspective. Journal of Operations Management, 25(2), 459-463.
Milliken, F.J. (1987). Three types of perceived uncertainty about the environment: State, effect, and response uncertainty. Academy of Management Review, 12(1), 133–143.
Pedersen, E.R.G., & Sudzina, F. (2012). Which firms use measures? Internal and external factors shaping the adoption of performance measurement systems in Danish firms. International Journal of Operations & Production Management, 32(1), 4–27.
Revilla, E., & Sáenz, M.J. (2014). Supply chain disruption management: Global convergence vs national specificity. Journal of Business Research, 67(6), 1123–1135.
Rexhausen, D., Pibernik, R., & Kaiser, G. (2012). Customer-facing supply chain practices—The impact of demand and distribution management on supply chain success. Journal of Operations Management, 30(4), 269–281.
Rohatgi, V.K., & Székely, G.J. (1989). Sharp inequalities between skewness and kurtosis. Statistics & probability letters, 8(4), 297–299.
Rosales, F.P., Oprime, P.C., Royer, A., & Batalha, M.O. (2020). Supply chain risks: findings from Brazilian slaughterhouses. Supply Chain Management: An International Journal, 25(3), 343–357.
Ruel, S., Ouabouch, L.& Shaaban, S. (2017). Supply chain uncertainties linked to information systems: a case study approach. Industrial Management & Data Systems, 117(6), 1–22.
Sanchez, R. (1997). Preparing for an uncertain future: Managing organisations for strategic flexibility. International studies of management & organisation, 27(2), 71–94.
Sheffi, Y. (2001). Supply chain management under the threat of international terrorism. The International Journal of Logistics Management, 12(2), 1–11.
Shin, H., Collier, D.A., & Wilson, D.D. (2000). Supply management orientation and supplier/buyer performance. Journal of Operations Management, 18(3), 317–333.
Sousa, R., & Voss, C.A. (2008). Contingency research in operations management practices. Journal of Operations Management, 26(6), 697–713.
Sukati, I., Hamid, A.B.A., Baharun, R., Tat, H.H., & Said, F. (2011). A study of supply chain management practices: An empirical investigation on the consumer goods industry in Malaysia. International Journal of Business and Social Science, 2(17), 166–176.
Sun, S.Y., Hsu, M.H., & Hwang, W.J. (2009). The impact of alignment between supply chain strategy and environmental uncertainty on SCM performance. Supply Chain Management: An International Journal, 14(3), 201–212.
Sundram, V.P.K., Ibrahim, A.R., & Govindaraju, V.G.R. (2011). Supply chain management practices in the electronics industry in Malaysia: Consequences for supply chain performance. Benchmarking: An International Journal, 18(6), 834–855.
Swafford, P.M., Ghosh, S., & Murthy, N. (2006). The antecedents of supply chain agility of a firm: scale development and model testing. Journal of Operations Management, 24(2), 170–188.
Tan, K.C., Lyman, S.B., & Wisner, J.D. (2002). Supply chain management: a strategic perspective. International journal of operations & production management, 8(1), 15–34.
Tang, C.S. (2005). Perspectives in supply chain risk management: A review. Perspectives in Supply Chain Risk Management: A Review (November 3, 2005).
Tarafdar, M., & Qrunfleh, S. (2017). Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility. International Journal of Production Research, 55(4), 925–938.
Wagner, S.M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29(1), 307–325.
Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modelling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 177–195.
Wheelwright, S.C. (1984). Manufacturing strategy: defining the missing link. Strategic Management Journal, 5(1), 77–91.
Wiedmann, K.P., Hennigs, N., Schmidt, S., & Wuestefeld, T. (2011). Drivers and outcomes of brand heritage: consumers’ perception of heritage brands in the automotive industry. Journal of Marketing Theory and Practice, 19(2), 205–220.
Wong, C.Y., Boon-Itt, S., & Wong, C.W. (2011). The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance. Journal of Operations Management, 29(6), 604–615.
Yamane, T. (1967). Statistics: An introductory analysis. Harper International Edition, New York.
Zsidisin, G.A., & Wagner, S.M. (2010). Do perceptions become reality? The moderating role of supply chain resiliency on disruption occurrence. Journal of Business Logistics, 31(2), 1–20.
