The Mediating Role of Supply Chain Responsiveness in the Relationship Between Key Supply Chain Drivers and Performance
Evidence from the FMCG Industry
DOI:
https://doi.org/10.14488/BJOPM.2580.2025Keywords:
Supply Chain Performance, Supply Chain Responsiveness, Supply Chain Agility, Supply Chain Visibility, Supplier Collaboration, Technology Integration, Supply Chain Governance, Sustainable Supply Chains, FMCG IndustryAbstract
Goal: This study examines the relationships among key supply chain drivers supply chain agility (SCA), supply chain visibility (SCV), supplier collaboration (SC), and technology integration (TI) and their impact on supply chain performance (SCP), emphasizing the mediating role of supply chain responsiveness (SCR) in the FMCG sector in Bangladesh. By providing empirical insights into these interactions, the study aims to enhance both academic discourse and practical strategies for optimizing supply chain efficiency in a rapidly growing industry.
Design/methodology/approach: A quantitative research design was employed, utilizing a structured questionnaire distributed among FMCG companies in Bangladesh. Out of 360 distributed questionnaires, 217 responses were collected, with 198 valid responses used for analysis. Structural equation modeling (PLS-SEM) via Smart PLS 4 was applied to test the proposed relationships. The study assessed the measurement model for validity and reliability before evaluating the structural model to examine direct and mediating effects.
Findings: The results confirm that SCA and SCV significantly impact SCR, which in turn enhances SCP. While SC and TI do not have direct effects on SCP, they exert significant influence when mediated by SCR. These findings highlight the critical role of responsiveness in strengthening the effectiveness of key supply chain drivers in FMCG firms.
Practical implications: The study provides actionable insights for FMCG firms aiming to improve supply chain performance by enhancing agility, visibility, and responsiveness. Investments in digital integration and real-time monitoring can strengthen these relationships and drive operational excellence.
Social implications: By improving supply chain responsiveness, FMCG firms can enhance service efficiency, reduce lead times, and better meet consumer demands, ultimately contributing to a more resilient supply chain ecosystem in Bangladesh.
Originality/value: This study offers novel insights into the mediating role of SCR in supply chain management, particularly within an emerging market context. It expands existing literature by integrating responsiveness as a key factor in performance enhancement.
Limitations: The study is limited to the FMCG sector in Bangladesh and relies on cross-sectional data. Future research should explore longitudinal effects and comparative analyses across industries.
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References
Abdallah, A.B., Almomani, H.A. and Al-Zu’bi, Z.M.F. (2025), "Industry 4.0-Enabled Supply Chain Performance: Do Supply Chain Capabilities and Innovation Matter?", Logistics, Vol. 9, No. 1, pp. 36. https://doi.org/10.3390/logistics9010036
Abu-Bader, S.H. and others (2021), Using statistical methods in social science research: With a complete SPSS guide, Oxford University Press, USA.
Abuzaid, A.N., Alateeq, M.M., Madadha, S.M., Al Sharari, F.E.A. and Alsbou, M.K. (2024), "The Effect of Suppliers’ Green and Traditional Selection Criteria in Supply Chain Management on Purchasing Firms’ Performance", Sustainability, Vol. 16, No. 15, pp. 6276. https://doi.org/10.3390/su16156276
Ahmed, R., Islam, M.S., Osmani, S., Shakil, M.A., Mazid-Ul-Haque, M. and Al-Amin, M. (2023), "ReChain-A Blockchain Network for Review and Rating System", in 2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE, pp. 74–78. https://doi.org/10.1109/ICREST57604.2023.10070038
Ahmed, W. and Huma, S. (2021), "Impact of lean and agile strategies on supply chain risk management", Total Quality Management & Business Excellence, Vol. 32, No. 1–2, pp. 33–56. https://doi.org/10.1080/14783363.2018.1529558
Aljohani, A. (2023), "Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility", Sustainability, Vol. 15, No. 20, pp. 15088. https://doi.org/10.3390/su152015088
Allioui, H. and Mourdi, Y. (2023), "Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey", Sensors, Vol. 23, No. 19, pp. 8015. https://doi.org/10.3390/s23198015
Alshawabkeh, R.O., Abu Rumman, A.R. and Al-Abbadi, L.H. (2024), "The nexus between digital collaboration, analytics capability and supply chain resilience of the food processing industry in Jordan", Cogent Business & Management, Vol. 11, No. 1. https://doi.org/10.1080/23311975.2023.2296608
Antràs, P. and Chor, D. (2022), "Global value chains", in Handbook of International Economics, Elsevier, pp. 297–376. https://doi.org/10.1016/bs.hesint.2022.02.005
Asamoah, D., Nuertey, D., Agyei-Owusu, B. and Akyeh, J. (2021), "The effect of supply chain responsiveness on customer development", The International Journal of Logistics Management, Vol. 32, No. 4, pp. 1190–1213. https://doi.org/10.1108/IJLM-03-2020-0133
Atieh Ali, A.A., Sharabati, A.-A.A., Allahham, M. and Nasereddin, A.Y. (2024), "The Relationship between Supply Chain Resilience and Digital Supply Chain and the Impact on Sustainability: Supply Chain Dynamism as a Moderator", Sustainability, Vol. 16, No. 7, pp. 3082. https://doi.org/10.3390/su16073082
Ayoub, H.F. and Abdallah, A.B. (2019), "The effect of supply chain agility on export performance", Journal of Manufacturing Technology Management, Vol. 30, No. 5, pp. 821–839. https://doi.org/10.1108/JMTM-08-2018-0229
Aziz, S., Kumar, P. and Khan, A.B. (2024), "Assessing the impact of digital supply chain management on the sustainability of construction projects", Review of Business and Economics Studies, Vol. 12, No. 3, pp. 60–73. https://doi.org/10.26794/2308-944X-2024-12-3-60-73
Bilal, A.I., Bititci, U.S. and Fenta, T.G. (2024), "Effective Supply Chain Strategies in Addressing Demand and Supply Uncertainty: A Case Study of Ethiopian Pharmaceutical Supply Services", Pharmacy, Vol. 12, No. 5, pp. 132. https://doi.org/10.3390/pharmacy12050132
Chavez, R., Yu, W., Feng, M. and Wiengarten, F. (2016), "The Effect of Customer‐Centric Green Supply Chain Management on Operational Performance and Customer Satisfaction", Business Strategy and the Environment, Vol. 25, No. 3, pp. 205–220. https://doi.org/10.1002/bse.1868
Choudhury, A., Behl, A., Sheorey, P.A. and Pal, A. (2021), "Digital supply chain to unlock new agility: a TISM approach", Benchmarking: An International Journal, Vol. 28, No. 6, pp. 2075–2109.
Conboy, K., Mikalef, P., Dennehy, D. and Krogstie, J. (2020), "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda", European Journal of Operational Research, Vol. 281, No. 3, pp. 656–672. https://doi.org/10.1016/j.ejor.2019.06.051
Di Vaio, A. and Varriale, L. (2020), "Blockchain technology in supply chain management for sustainable performance: Evidence from the airport industry", International Journal of Information Management, Vol. 52, pp. 102014. https://doi.org/10.1016/j.ijinfomgt.2019.09.010
Dubey, R., Altay, N., Gunasekaran, A., Blome, C., Papadopoulos, T. and Childe, S.J. (2018), "Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry", International Journal of Operations & Production Management, Vol. 38, No. 1, pp. 129–148.
Dubey, R., Bryde, D.J., Foropon, C., Graham, G., Giannakis, M. and Mishra, D.B. (2022), "Agility in humanitarian supply chain: An organizational information processing perspective and relational view", Annals of Operations Research, Vol. 319, No. 1, pp. 559–579.
Emon, M.M.H. (2023), "A Systematic Review of the Causes and Consequences of Price Hikes in Bangladesh", Review of Business and Economics Studies, Vol. 11, No. 2, pp. 49–58. https://doi.org/10.26794/2308-944X-2023-11-2-49-58
Emon, M.M.H. and Khan, T. (2024a), "A Systematic Literature Review on Sustainability Integration and Marketing Intelligence in the Era of Artificial Intelligence", Review of Business and Economics Studies, Vol. 12, No. 4, pp. 6–28. https://doi.org/10.26794/2308-944X-2024-12-4-6-28
Emon, M.M.H. and Khan, T. (2024b), "Unlocking Sustainability through Supply Chain Visibility: Insights from the Manufacturing Sector of Bangladesh", Brazilian Journal of Operations & Production Management, Vol. 21, No. 4, pp. 2194. https://doi.org/10.14488/BJOPM.2194.2024
Emon, M.M.H. and Khan, T. (2025a), "The mediating role of attitude towards the technology in shaping artificial intelligence usage among professionals", Telematics and Informatics Reports, Vol. 17, pp. 100188. https://doi.org/10.1016/j.teler.2025.100188
Emon, M.M.H. and Khan, T. (2025b), "The transformative role of Industry 4.0 in supply chains: Exploring digital integration and innovation in the manufacturing enterprises", Journal of Open Innovation: Technology, Market, and Complexity, Vol. 11, No. 2, pp. 100516. https://doi.org/10.1016/j.joitmc.2025.100516
Emon, M.M.H., Khan, T., Rahman, M.A., Hamid, A.B.A. and Yaakub, N.I. (2025), "GreenTech Revolution: Navigating Challenges and Seizing Opportunities", in AI and Green Technology Applications in Society, IGI Global Scientific Publishing, pp. 63–90. https://doi.org/10.4018/979-8-3693-9879-1.ch003
Emon, M.M.H., Khan, T., Rahman, M.A. and Siam, S.A.J. (2024), "Factors Influencing the Usage of Artificial Intelligence among Bangladeshi Professionals: Mediating role of Attitude Towards the Technology", in 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), IEEE, pp. 1–7. https://doi.org/10.1109/COMPAS60761.2024.10796110
Emon, M.M.H., Khan, T. and Siam, S.A.J. (2024), "Quantifying the influence of supplier relationship management and supply chain performance: an investigation of Bangladesh’s manufacturing and service sectors", Brazilian Journal of Operations & Production Management, Vol. 21, No. 2, pp. 2015. https://doi.org/10.14488/BJOPM.2015.2024
Eslami, M.H., Jafari, H., Achtenhagen, L., Carlbäck, J. and Wong, A. (2024), "Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies", International Journal of Production Research, Vol. 62, No. 22, pp. 8092–8109. https://doi.org/10.1080/00207543.2021.1966850
Faruquee, M., Paulraj, A. and Irawan, C.A. (2021), "Strategic supplier relationships and supply chain resilience: Is digital transformation that precludes trust beneficial?", International Journal of Operations & Production Management, Vol. 41, No. 7, pp. 1192–1219. https://doi.org/10.1108/IJOPM-10-2020-0702
Fatorachian, H. and Kazemi, H. (2021), "Impact of Industry 4.0 on supply chain performance", Production Planning & Control, Vol. 32, No. 1, pp. 63–81. https://doi.org/10.1080/09537287.2020.1712487
Flechsig, C., Anslinger, F. and Lasch, R. (2022), "Robotic Process Automation in purchasing and supply management: A multiple case study on potentials, barriers, and implementation", Journal of Purchasing and Supply Management, Vol. 28, No. 1, pp. 100718. https://doi.org/10.1016/j.pursup.2021.100718
Fornell, C. and Larcker, D.F. (1981), Structural equation models with unobservable variables and measurement error: Algebra and statistics, Sage Publications, Los Angeles, CA.
Fu, Q., Abdul Rahman, A.A., Jiang, H., Abbas, J. and Comite, U. (2022), "Sustainable Supply Chain and Business Performance: The Impact of Strategy, Network Design, Information Systems, and Organizational Structure", Sustainability, Vol. 14, No. 3, pp. 1080. https://doi.org/10.3390/su14031080
Geyi, D.G., Yusuf, Y., Menhat, M.S., Abubakar, T. and Ogbuke, N.J. (2020), "Agile capabilities as necessary conditions for maximising sustainable supply chain performance: An empirical investigation", International Journal of Production Economics, Vol. 222, pp. 107501. https://doi.org/10.1016/j.ijpe.2019.09.022
Gu, M., Yang, L. and Huo, B. (2021), "The impact of information technology usage on supply chain resilience and performance: An ambidexterous view", International Journal of Production Economics, Vol. 232, pp. 107956. https://doi.org/10.1016/j.ijpe.2020.107956
Hair, J. and Alamer, A. (2022), "Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example", Research Methods in Applied Linguistics, Vol. 1, No. 3, pp. 100027. https://doi.org/10.1016/j.rmal.2022.100027
Hair, J.F., Howard, M.C. and Nitzl, C. (2020), "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis", Journal of Business Research, Vol. 109, pp. 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069
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, Vol. 31, No. 1, pp. 2–24.
Hair, J., Hollingsworth, C.L., Randolph, A.B. and Chong, A.Y.L. (2017), "An updated and expanded assessment of PLS-SEM in information systems research", Industrial Management & Data Systems, Vol. 117, No. 3, pp. 442–458.
Hair Jr, J.F., Howard, M.C. and Nitzl, C. (2020), "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis", Journal of Business Research, Vol. 109, pp. 101–110.
Hegab, H., Khanna, N., Monib, N. and Salem, A. (2023), "Design for sustainable additive manufacturing: A review", Sustainable Materials and Technologies, Vol. 35, pp. e00576. https://doi.org/10.1016/j.susmat.2023.e00576
Helo, P. and Shamsuzzoha, A.H.M. (2020), "Real-time supply chain—A blockchain architecture for project deliveries", Robotics and Computer-Integrated Manufacturing, Vol. 63, pp. 101909. https://doi.org/10.1016/j.rcim.2019.101909
Hossain, M.I., Akter, N. and Muzareba, A.M. (2024), Marketing in a Transition Economy, Springer Nature, Singapore. https://doi.org/10.1007/978-981-97-3553-2
Howe, M. and Jin, Y. (2022), "It’s nothing personal, or is it? Exploring the competitive implications of relational multiplexity in supply chains", Journal of Supply Chain Management, Vol. 58, No. 2, pp. 26–47. https://doi.org/10.1111/jscm.12283
Hsieh, C.-C., Chen, S.-L. and Huang, C.-C. (2023), "Investigating the Role of Supply Chain Environmental Risk in Shaping the Nexus of Supply Chain Agility, Resilience, and Performance", Sustainability, Vol. 15, No. 20, pp. 15003. https://doi.org/10.3390/su152015003
Ishak, S., Shaharudin, M.R., Salim, N.A.M., Zainoddin, A.I. and Deng, Z. (2023), "The Effect of Supply Chain Adaptive Strategies During the COVID-19 Pandemic on Firm Performance in Malaysia’s Semiconductor Industries", Global Journal of Flexible Systems Management, Vol. 24, No. 3, pp. 439–458. https://doi.org/10.1007/s40171-023-00347-y
Jafari, H., Ghaderi, H., Malik, M. and Bernardes, E. (2023), "The effects of supply chain flexibility on customer responsiveness: the moderating role of innovation orientation", Production Planning & Control, Vol. 34, No. 16, pp. 1543–1561. https://doi.org/10.1080/09537287.2022.2028030
Jena, S.K. and Ghadge, A. (2021), "An integrated supply chain – human resource management approach for improved supply chain performance", The International Journal of Logistics Management, Vol. 32, No. 3, pp. 918–941. https://doi.org/10.1108/IJLM-03-2020-0151
Jum’a, L., Zighan, S. and Alkalha, Z. (2025), "Influence of supply chain digitalization on supply chain agility, resilience and performance: environmental dynamism as a moderator", Journal of Manufacturing Technology Management. https://doi.org/10.1108/JMTM-08-2024-0423
Kamble, S.S., Gunasekaran, A., Parekh, H., Mani, V., Belhadi, A. and Sharma, R. (2022), "Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework", Technological Forecasting and Social Change, Vol. 176, pp. 121448. https://doi.org/10.1016/j.techfore.2021.121448
Kashem, M.A., Shamsuddoha, M. and Nasir, T. (2024), "Digital-Era Resilience: Navigating Logistics and Supply Chain Operations after COVID-19", Businesses, Vol. 4, No. 1, pp. 1–17. https://doi.org/10.3390/businesses4010001
Katsaliaki, K., Galetsi, P. and Kumar, S. (2022), "Supply chain disruptions and resilience: a major review and future research agenda", Annals of Operations Research, Vol. 319, No. 1, pp. 965–1002. https://doi.org/10.1007/s10479-020-03912-1
Khan, T. and Emon, M.M.H. (2025), "Supply chain performance in the age of Industry 4.0: evidence from manufacturing sector", Brazilian Journal of Operations & Production Management, Vol. 22, No. 1, pp. 2434. https://doi.org/10.14488/BJOPM.2434.2025
Khan, T., Emon, M.M.H. and Rahman, M.A. (2024), "A systematic review on exploring the influence of Industry 4.0 technologies to enhance supply chain visibility and operational efficiency", Review of Business and Economics Studies, Vol. 12, No. 3, pp. 6–27. https://doi.org/10.26794/2308-944X-2024-12-3-6-27
Khan, T., Emon, M.M.H., Rahman, M.A., Hamid, A.B.A. and Yaakub, N.I. (2025), "Bridging the Gap: Realizing GreenTech Potential", in AI and Green Technology Applications in Society, IGI Global Scientific Publishing, pp. 91–122. https://doi.org/10.4018/979-8-3693-9879-1.ch004
Khurshid, A., Khan, K., Khan, S. and Cifuentes‐Faura, J. (2024), "Tackling sustainable development challenges: A fuzzy set examination of textile industry 4.0 and green supply chain barriers", Sustainable Development, Vol. 32, No. 6, pp. 6819–6835. https://doi.org/10.1002/sd.3061
Li, G., Li, L., Choi, T. and Sethi, S.P. (2020), "Green supply chain management in Chinese firms: Innovative measures and the moderating role of quick response technology", Journal of Operations Management, Vol. 66, No. 7–8, pp. 958–988. https://doi.org/10.1002/joom.1061
Li, W., Waris, I. and Bhutto, M.Y. (2024), "Understanding the nexus among big data analytics capabilities, green dynamic capabilities, supply chain agility and green competitive advantage: the moderating effect of supply chain innovativeness", Journal of Manufacturing Technology Management, Vol. 35, No. 1, pp. 119–140. https://doi.org/10.1108/JMTM-07-2023-0263
Mattioli, G., Roberts, C., Steinberger, J.K. and Brown, A. (2020), "The political economy of car dependence: A systems of provision approach", Energy Research & Social Science, Vol. 66, pp. 101486. https://doi.org/10.1016/j.erss.2020.101486
Mishra, N.K., Pande Sharma, P. and Chaudhary, S.K. (2024), "Redefining agile supply chain practices in the disruptive era: a case study identifying vital dimensions and factors", Journal of Global Operations and Strategic Sourcing. https://doi.org/10.1108/JGOSS-04-2023-0031
Modgil, S., Singh, R.K. and Hannibal, C. (2022), "Artificial intelligence for supply chain resilience: learning from Covid-19", The International Journal of Logistics Management, Vol. 33, No. 4, pp. 1246–1268.
Myamba, B.M., Shatta, D. and Massami, E. (2024), "Benchmarking supply chain collaboration dimensions with insights from resource-based theories", Brazilian Journal of Operations & Production Management, Vol. 21, No. 4, pp. 2221. https://doi.org/10.14488/BJOPM.2221.2024
Na-Nan, K., Kanthong, S. and Joungtrakul, J. (2021), "An Empirical Study on the Model of Self-Efficacy and Organizational Citizenship Behavior Transmitted through Employee Engagement, Organizational Commitment and Job Satisfaction in the Thai Automobile Parts Manufacturing Industry", Journal of Open Innovation: Technology, Market, and Complexity, Vol. 7, No. 3, pp. 170. https://doi.org/10.3390/joitmc7030170
Nath, V. and Agrawal, R. (2020), "Agility and lean practices as antecedents of supply chain social sustainability", International Journal of Operations & Production Management, Vol. 40, No. 10, pp. 1589–1611. https://doi.org/10.1108/IJOPM-09-2019-0642
Neboh, N.D. and Mbhele, T.P. (2021), "Supply chain design dimensions for supply chain resilience in the South African fast-moving consumer goods retail industry", Africa Journal of Management, Vol. 7, Suppl. 1, pp. 58–81. https://doi.org/10.1080/23322373.2021.1930742
Nunnally, J.C., Bernstein, I.H. and others (1994), Psychological theory, McGraw-Hill, New York.
Palakshappa, A., Maradithaya, S. and V, C. (2025), "A Machine Learning Method to improve Supplier Delivery Appointments in Supply Chain Industries", Brazilian Journal of Operations & Production Management, Vol. 22, No. 1, pp. 2040. https://doi.org/10.14488/BJOPM.2040.2025
Pasupuleti, V., Thuraka, B., Kodete, C.S. and Malisetty, S. (2024), "Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management", Logistics, Vol. 8, No. 3, pp. 73. https://doi.org/10.3390/logistics8030073
Qiu, L., Jie, X., Wang, Y. and Zhao, M. (2020), "Green product innovation, green dynamic capability, and competitive advantage: Evidence from Chinese manufacturing enterprises", Corporate Social Responsibility and Environmental Management, Vol. 27, No. 1, pp. 146–165. https://doi.org/10.1002/csr.1780
Rahman, K.M. and Chowdhury, E.H. (2020), "Growth Trajectory and Developmental Impact of Ready-Made Garments Industry in Bangladesh", in Bangladesh’s Economic and Social Progress, Springer, pp. 267–297. https://doi.org/10.1007/978-981-15-1683-2_9
Randolph, R.V., Hu, H. and Silvernail, K.D. (2020), "Better the devil you know: Inter-organizational information technology and network social capital in coopetition networks", Information & Management, Vol. 57, No. 6, pp. 103344. https://doi.org/10.1016/j.im.2020.103344
Rane, N. (2023), "Enhancing Customer Loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience", SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4616051
Rashid, A., Rasheed, R., Ngah, A.H. and Marjerison, R.K. (2024), "A nexus of multiple integrations and business performance through supply chain agility and supply flexibility: a dynamic capability view", Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-08-2023-0124
Razak, G.M., Hendry, L.C. and Stevenson, M. (2023), "Supply chain traceability: A review of the benefits and its relationship with supply chain resilience", Production Planning & Control, Vol. 34, No. 11, pp. 1114–1134.
Rejeb, A., Keogh, J.G., Simske, S.J., Stafford, T. and Treiblmaier, H. (2021), "Potentials of blockchain technologies for supply chain collaboration: a conceptual framework", The International Journal of Logistics Management, Vol. 32, No. 3, pp. 973–994.
Rejeb, A., Simske, S., Rejeb, K., Treiblmaier, H. and Zailani, S. (2020), "Internet of Things research in supply chain management and logistics: A bibliometric analysis", Internet of Things, Vol. 12, pp. 100318.
Riaz, A., Rehman, H.M., Sohail, A. and Rehman, M. (2024), "Industry 4.0 supply chain nexus: sequential mediating effects of traceability, visibility and resilience on performance", Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/APJML-02-2024-0202
Richey, R.G., Roath, A.S., Adams, F.G. and Wieland, A. (2022), "A Responsiveness View of logistics and supply chain management", Journal of Business Logistics, Vol. 43, No. 1, pp. 62–91. https://doi.org/10.1111/jbl.12290
Rogerson, M. and Parry, G.C. (2020), "Blockchain: case studies in food supply chain visibility", Supply Chain Management: An International Journal, Vol. 25, No. 5, pp. 601–614. https://doi.org/10.1108/SCM-08-2019-0300
Roscoe, S., Aktas, E., Petersen, K.J., Skipworth, H.D., Handfield, R.B. and Habib, F. (2022), "Redesigning global supply chains during compounding geopolitical disruptions: the role of supply chain logics", International Journal of Operations & Production Management, Vol. 42, No. 9, pp. 1407–1434. https://doi.org/10.1108/IJOPM-12-2021-0777
Sabahi, S. and Parast, M.M. (2020), "Firm innovation and supply chain resilience: a dynamic capability perspective", International Journal of Logistics Research and Applications, Vol. 23, No. 3, pp. 254–269. https://doi.org/10.1080/13675567.2019.1683522
Sahoo, S., Kumar, A., Kumar Mangla, S. and Tiwari, A. (2024), "Industry 4.0 adoption and eco‐product innovation capability—Understanding the role of supply chain integration", Business Strategy and the Environment, Vol. 33, No. 8, pp. 8798–8814. https://doi.org/10.1002/bse.3949
Salam, M.A. and Bajaba, S. (2023), "The role of supply chain resilience and absorptive capacity in the relationship between marketing–supply chain management alignment and firm performance: a moderated-mediation analysis", Journal of Business & Industrial Marketing, Vol. 38, No. 7, pp. 1545–1561. https://doi.org/10.1108/JBIM-02-2022-0105
Salamah, E., Alzubi, A. and Yinal, A. (2023), "Unveiling the Impact of Digitalization on Supply Chain Performance in the Post-COVID-19 Era: The Mediating Role of Supply Chain Integration and Efficiency", Sustainability, Vol. 16, No. 1, pp. 304. https://doi.org/10.3390/su16010304
Sánchez-Flores, R.B., Cruz-Sotelo, S.E., Ojeda-Benitez, S. and Ramírez-Barreto, M.E. (2020), "Sustainable Supply Chain Management—A Literature Review on Emerging Economies", Sustainability, Vol. 12, No. 17, pp. 6972. https://doi.org/10.3390/su12176972
Settembre-Blundo, D., González-Sánchez, R., Medina-Salgado, S. and García-Muiña, F.E. (2021), "Flexibility and Resilience in Corporate Decision Making: A New Sustainability-Based Risk Management System in Uncertain Times", Global Journal of Flexible Systems Management, Vol. 22, Suppl. 2, pp. 107–132. https://doi.org/10.1007/s40171-021-00277-7
Seyedan, M. and Mafakheri, F. (2020), "Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities", Journal of Big Data, Vol. 7, No. 1, pp. 53. https://doi.org/10.1186/s40537-020-00329-2
Shahadat, M.M.H., Chowdhury, A.H.M.Y., Jahed, M.A., Nathan, R.J. and Fekete-Farkas, M. (2024), "Innovativeness, visibility, and collaboration effect on supply chain performance: moderating role of digital supply chain integration", Cogent Business & Management, Vol. 11, No. 1, pp. 2390168.
Shakur, M.S., Lubaba, M., Debnath, B., Bari, A.B.M.M. and Rahman, M.A. (2024), "Exploring the Challenges of Industry 4.0 Adoption in the FMCG Sector: Implications for Resilient Supply Chain in Emerging Economy", Logistics, Vol. 8, No. 1, pp. 27. https://doi.org/10.3390/logistics8010027
Shekarian, M., Reza Nooraie, S.V. and Parast, M.M. (2020), "An examination of the impact of flexibility and agility on mitigating supply chain disruptions", International Journal of Production Economics, Vol. 220, pp. 107438. https://doi.org/10.1016/j.ijpe.2019.07.011
Shukor, A.A.A., Newaz, M.S., Rahman, M.K. and Taha, A.Z. (2021), "Supply chain integration and its impact on supply chain agility and organizational flexibility in manufacturing firms", International Journal of Emerging Markets, Vol. 16, No. 8, pp. 1721–1744. https://doi.org/10.1108/IJOEM-04-2020-0418
Singh, R.K. and Modgil, S. (2024), "Adapting to disruption: the impact of agility, absorptive capacity and ambidexterity on supply chain resilience", International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-01-2024-0057
Stratton, S.J. (2021), "Population Research: Convenience Sampling Strategies", Prehospital and Disaster Medicine, Vol. 36, No. 4, pp. 373–374. https://doi.org/10.1017/S1049023X21000649
Susitha, E., Jayarathna, A. and Herath, H.M.R. (2024), "Supply chain competitiveness through agility and digital technology: A bibliometric analysis", Supply Chain Analytics, Vol. 7, pp. 100073. https://doi.org/10.1016/j.sca.2024.100073
Tadayonrad, Y. and Ndiaye, A.B. (2023), "A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality", Supply Chain Analytics, Vol. 3, pp. 100026. https://doi.org/10.1016/j.sca.2023.100026
Taleizadeh, A.A., Tafakkori, K. and Thaichon, P. (2021), "Resilience toward supply disruptions: A stochastic inventory control model with partial backordering under the base stock policy", Journal of Retailing and Consumer Services, Vol. 58, pp. 102291. https://doi.org/10.1016/j.jretconser.2020.102291
Udokporo, C.K., Anosike, A., Lim, M., Nadeem, S.P., Garza-Reyes, J.A. and Ogbuka, C.P. (2020), "Impact of Lean, Agile and Green (LAG) on business competitiveness: An empirical study of fast moving consumer goods businesses", Resources, Conservation and Recycling, Vol. 156, pp. 104714. https://doi.org/10.1016/j.resconrec.2020.104714
Varadarajan, R. (2020), "Customer information resources advantage, marketing strategy and business performance: A market resources based view", Industrial Marketing Management, Vol. 89, pp. 89–97. https://doi.org/10.1016/j.indmarman.2020.03.003
Wang, C. and Hu, Q. (2020), "Knowledge sharing in supply chain networks: Effects of collaborative innovation activities and capability on innovation performance", Technovation, Vol. 94–95, pp. 102010. https://doi.org/10.1016/j.technovation.2017.12.002
Warmbier, P. and Kinra, A. (2022), "Identifying Common Elements Within Supply Chain Resilience and Sustainability - An Exploratory Study Based on Bibliographic Analysis", in Supply Chain Strategies and Sustainability, Springer, pp. 65–81. https://doi.org/10.1007/978-3-031-05359-7_6
Xue, X., Dou, J. and Shang, Y. (2021), "Blockchain-driven supply chain decentralized operations – information sharing perspective", Business Process Management Journal, Vol. 27, No. 1, pp. 184–203. https://doi.org/10.1108/BPMJ-12-2019-0518
Zaman, S.I., Khan, S.A. and Kusi-Sarpong, S. (2024), "Investigating the relationship between supply chain finance and supply chain collaborative factors", Benchmarking: An International Journal, Vol. 31, No. 6, pp. 1941–1975. https://doi.org/10.1108/BIJ-05-2022-0295
Zamani, E.D., Smyth, C., Gupta, S. and Dennehy, D. (2023), "Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review", Annals of Operations Research, Vol. 327, No. 2, pp. 605–632. https://doi.org/10.1007/s10479-022-04983-y
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