Effect of Supply Chain Integration and Agility on B2B Sales Performance Through Customer Experience and Repurchase Intention: A Study in the Logistics and Distribution Industry

Authors

Keywords:

supply chain integration, supply chain agility, B2B sales performance, customer experience, repurchase intention, logistics and distribution industry

Abstract

In contemporary B2B markets, sales performance is not determined solely by product price and quality; rather, it is also influenced by supply chain capabilities and the experience customers acquire through their interactions with suppliers. The present study aimed to investigate the effect of supply chain integration and agility on B2B sales performance, with customer experience and repurchase intention serving as mediating variables in the logistics and distribution industry. In terms of purpose, this was an applied study, and in terms of nature, it employed a descriptive-correlational design using structural equation modeling. The statistical population consisted of sales, marketing, and supply chain managers and experts employed by companies operating in the logistics and distribution industry, and stratified random sampling was used. Data were collected using standardized questionnaires and analyzed through partial least squares structural equation modeling (PLS-SEM). The findings showed that supply chain integration had positive and significant effects on customer experience, repurchase intention, and sales performance. Supply chain agility also had positive and significant effects on customer experience and repurchase intention; however, its direct effect on sales performance was not supported. Customer experience had positive and significant effects on repurchase intention and sales performance, while repurchase intention also had a positive and significant effect on sales performance. The mediating roles of customer experience and repurchase intention in the relationships between supply chain integration and agility and sales performance were confirmed. The results indicate that supply chain capabilities can improve B2B sales performance not merely through direct effects, but primarily by creating a favorable customer experience and strengthening customers’ intention to repurchase.

References

Agarwal, N., & Seth, N. (2024). Analysis of supply chain resilience enablers and business outcomes using Delphi and fuzzy ISM for Indian automobile industry. Global Journal of Flexible Systems Management, 25(4), 763-783. https://doi.org/10.1007/s40171-024-00410-2

Azadi, S., & Roshani, A. (2025). The importance of integrating supply chain management and logistics for the success of business processes Eleventh International Conference on Industrial and Systems Engineering, Mashhad.

Babu, H., Bhardwaj, P., & Agrawal, A. K. (2021). Modelling the supply chain risk variables using ISM: A case study on Indian manufacturing SMEs. Journal of Modelling in Management, 16(1), 215-239. https://doi.org/10.1108/JM2-06-2019-0126

Beigi Firouzi, A., Bashkouh, M., Seifollahi, N., & Zarei, G. (2023). Supply chain agility as a strategic asset and its effect on financial performance: The moderating role of industry type: A meta-analysis. Asset Management and Financing, 11(3), 47-68.

Das, S. K., & Perona, M. (2025). Supply chain risk management automation: A literature review. Electronic Markets, 35, 104. https://doi.org/10.1007/s12525-025-00844-1

Fasihi, M., Najafi, S. E., Tavakkoli Moghaddam, R., & Hajiaghaei Keshteli, M. (2021). Designing a closed-loop supply chain network for farmed cold-water fish under uncertainty: A case study of the trout supply chain network in Mazandaran. Industrial Management Studies, 19(63), 1-50.

Gaudenzi, B., Confente, I., & Russo, I. (2020). Logistics service quality and customer satisfaction in B2B relationships: A qualitative comparative analysis approach. The TQM Journal, 33(1), 125-140. https://doi.org/10.1108/TQM-04-2020-0088

Ghadir, A. H., Vandchali, H. R., Fallah, M., & Tirkolaee, E. B. (2026). Evaluating the impacts of COVID-19 outbreak on supply chain risks by modified failure mode and effects analysis: A case study in an automotive company. Annals of Operations Research, 360(1), 483-513. https://doi.org/10.1007/s10479-022-04651-1

Hassanpour, H., Taheri, S. M., & Mikaeili, F. (2021). Designing a food supply chain network based on customer satisfaction under uncertainty. Business Management Explorations, 13(26), 395-431.

Hendijani, R., & Saeidi Saei, R. (2020). The effects of supply chain integration and demand uncertainty on firm performance. Industrial Management Studies, 18(59), 1-45.

Jafari Eskandari, M., & Emami Salout, H. (2022). A multi-objective optimization model for risk assessment in a sustainable closed-loop supply chain under parameter uncertainty: A conditional value-at-risk (CVaR) approach. Industrial Management Studies, 20(66), 251-298.

Jandaghi, G., Fathi, M., Madadi, E., & Razi Moheb Seraj, S. (2022). Mathematical modeling of a multi-objective tire supply chain network under uncertainty and solving it using metaheuristic algorithms. Logistics Thought, 21(82), 157-184.

Jegan, J. J. J., Sonwaney, V., Bryde, D., & Graham, G. (2024). Achieving competitive advantage through technology-driven proactive supply chain risk management: An empirical study. Annals of Operations Research, 332(1–3), 149-190. https://doi.org/10.1007/s10479-023-05604-y

Khalili, S. M., Pouya, A., Kazemi, M., & Fakour Saghieh, A. M. (2022). Designing a sustainable and resilient gasoline supply chain network under disruption uncertainty: A case study of the gasoline supply chain network in Razavi Khorasan Province. Industrial Management, 14(1), 27-79.

Madzík, P., Falát, L., & Copuš, L. (2024). Resilience in supply chain risk management in disruptive world: Rerouting research directions during and after pandemic. Annals of Operations Research. https://doi.org/10.1007/s10479-024-06126-x

Marzban Abbasabadi, A., Faghihi Farahmand, N., & Mahmoudzadeh, M. (2025). A structural model of Iran Khodro supply chain management based on artificial intelligence capabilities, emphasizing resilience and reduction of the bullwhip effect. Strategic Value Chain Management.

Mohamed, B., Mohammed, B., & Hamza, Z. (2025, 2025/11). Customer experience at the core of the supply chain and the logistic determinants of customer satisfaction 2025 IEEE International Conference on Advanced Technologies in Supply Chain Management (ATSCM), https://doi.org/10.1109/ATSCM67505.2025.11473626

Moshood, M. (2025). Assessing brand-driven supply chain customization and its role in enhancing operational efficiency and sustained market expansion for global enterprises. Int J Adv Res Publ Rev, 2(8), 32-50. https://doi.org/10.55248/gengpi.6.0825.2805

Mzougui, I., Carpitella, S., Certa, A., El Felsoufi, Z., & Izquierdo, J. (2020). Assessing supply chain risks in the automotive industry through a modified MCDM-based FMECA. Processes, 8(5), 579. https://doi.org/10.3390/pr8050579

Shah, S., Liu, A., Nusrat, A., Chen, L., Li, X., & Lu, H. (2025). Big data analytics powered by AI for enhancing supply chain agility and customer relationship performance. Operations and Supply Chain Management: An International Journal, 19(1), 145-163. https://doi.org/10.31387/oscm0640512

Tebanian, H. (2022). Identifying resilience strategies in the Iran Khodro supply chain using quality techniques Tenth International Conference on Management, Accounting and Economic Development,

Wang, L., Cheng, Y., & Wang, Z. (2022). Risk management in sustainable supply chain: A knowledge map towards intellectual structure, logic diagram, and conceptual model. Environmental Science and Pollution Research, 29(44), 66041-66067. https://doi.org/10.1007/s11356-022-22255-x

Xu, S., Zhang, X., Feng, L., & Yang, W. (2020). Disruption risks in supply chain management: A literature review based on bibliometric analysis. International Journal of Production Research, 1-19. https://doi.org/10.1080/00207543.2020.1717011

Žigienė, G., Rybakovas, E., Vaitkienė, R., & Gaidelys, V. (2022). Setting the grounds for the transition from business analytics to artificial intelligence in solving supply chain risk. Sustainability, 14(19), 11827. https://doi.org/10.3390/su141911827

Downloads

Publication Timeline

Published
Submitted
Revised
Accepted

Issue

Section

Articles

How to Cite

Yari, H. ., & Kasraee, A. R. . (2027). Effect of Supply Chain Integration and Agility on B2B Sales Performance Through Customer Experience and Repurchase Intention: A Study in the Logistics and Distribution Industry. Journal of Resource Management and Decision Engineering, 1-13. https://www.journalrmde.com/index.php/jrmde/article/view/447