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Integrating CRM, Lean Practices, and Use of IT to Enhance Operational Performance: The Mediating Role of Quality Information Sharing

Author

Listed:
  • A. H. M. Yeaseen Chowdhury

    (Bangladesh Institute of International and Strategic Studies (BIISS), 1/46 Old Elephant Road, Dhaka 1000, Bangladesh)

  • M. M. Hussain Shahadat

    (Doctoral School of Economic and Regional Science, Hungarian University of Agriculture and Life Sciences, Pater Karoly Street 1, 2100 Godollo, Hungary)

  • Saurav Chandra Talukder

    (Doctoral School of Economic and Regional Science, Hungarian University of Agriculture and Life Sciences, Pater Karoly Street 1, 2100 Godollo, Hungary
    Department of Accounting and Information Systems, Jashore University of Science and Technology, Jashore 7408, Bangladesh)

  • Arnold Csonka

    (Faculty of Economy Science, Doctoral School of Economic and Regional Science, Hungarian University of Agriculture and Life Science, 7400 Kaposvár, Hungary)

  • Maria Fekete Farkas

    (Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Pater Karoly Street 1, 2100 Godollo, Hungary)

Abstract

Background : This study explores the relationship among various supply chain management practices, including customer relationship management, lean practices, use of information technology, and quality of information sharing with operational performance in the readymade garments industry of Bangladesh. It also examines the mediating role of quality of information sharing in these relationships. Methods : Data were collected from 80 readymade garment companies across five different geographical locations, with companies of varying sizes (large, medium, and small), involving 365 respondents with a response rate of 65%. A self-administered questionnaire survey was conducted, and Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied for the analysis. Results : The results indicate that all four practices significantly enhance operational performance, while customer relationship management and use of information technology also improve performance indirectly through quality of information sharing, unlike lean practices. Conclusions : The findings suggest that supply chain managers and stakeholders can improve operational performance by implementing supply chain management practices and understanding the complexities of their interrelationships.

Suggested Citation

  • A. H. M. Yeaseen Chowdhury & M. M. Hussain Shahadat & Saurav Chandra Talukder & Arnold Csonka & Maria Fekete Farkas, 2025. "Integrating CRM, Lean Practices, and Use of IT to Enhance Operational Performance: The Mediating Role of Quality Information Sharing," Logistics, MDPI, vol. 9(3), pages 1-25, September.
    • Handle: RePEc:gam:jlogis:v:9:y:2025:i:3:p:123-:d:1739781
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    References listed on IDEAS

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    1. Qinghua Fu & Abdul Aziz Abdul Rahman & Hui Jiang & Jawad Abbas & Ubaldo Comite, 2022. "Sustainable Supply Chain and Business Performance: The Impact of Strategy, Network Design, Information Systems, and Organizational Structure," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
    2. Sunder M, Vijaya & Prashar, Anupama, 2024. "The interplay of lean practices and digitalization on organizational learning systems and operational performance," International Journal of Production Economics, Elsevier, vol. 270(C).
    3. Guilherme Luz Tortorella & Diego Fettermann, 2018. "Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2975-2987, April.
    4. Xun Wang & Jing Zhuang & Qing Peng & Yadong Li, 2005. "A general strategy for nanocrystal synthesis," Nature, Nature, vol. 437(7055), pages 121-124, September.
    5. Rima H. Binsaeed & Zahid Yousaf & Adriana Grigorescu & Razvan Ion Chitescu & Abdelmohsen A. Nassani & Alina Samoila, 2023. "Customer Engagement and Customer Relationship Management Capabilities’ Effects on Innovation Performance and Customer Distrust’s Moderating Role," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    6. Stav Fainshmidt & Amir Pezeshkan & M. Lance Frazier & Anil Nair & Edward Markowski, 2016. "Dynamic Capabilities and Organizational Performance: A Meta-Analytic Evaluation and Extension," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1348-1380, December.
    7. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
    8. Guchhait, Rekha & Sarkar, Biswajit, 2024. "A decision-making problem for product outsourcing with flexible production under a global supply chain management," International Journal of Production Economics, Elsevier, vol. 272(C).
    9. Xuefei Li & Yi Li & Gang Li & Jinpeng Xu, 2025. "Sustainable supply chain management practices and performance: The moderating effect of stakeholder pressure," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    10. Thomas C. Powell & Anne Dent‐Micallef, 1997. "Information technology as competitive advantage: the role of human, business, and technology resources," Strategic Management Journal, Wiley Blackwell, vol. 18(5), pages 375-405, May.
    11. Lal, K., 1999. "Information Technology and Exports: A Case Study of Indian Garments Manufacturing Enterprises," Discussion Papers 280137, University of Bonn, Center for Development Research (ZEF).
    12. Marodin, Giuliano & Frank, Alejandro Germán & Tortorella, Guilherme Luz & Netland, Torbjørn, 2018. "Lean product development and lean manufacturing: Testing moderation effects," International Journal of Production Economics, Elsevier, vol. 203(C), pages 301-310.
    13. Reem M. Mashat & Safinaz H. Abourokbah & Mohammad Asif Salam, 2024. "Impact of Internet of Things Adoption on Organizational Performance: A Mediating Analysis of Supply Chain Integration, Performance, and Competitive Advantage," Sustainability, MDPI, vol. 16(6), pages 1-25, March.
    14. Li, Suhong & Ragu-Nathan, Bhanu & Ragu-Nathan, T.S. & Subba Rao, S., 2006. "The impact of supply chain management practices on competitive advantage and organizational performance," Omega, Elsevier, vol. 34(2), pages 107-124, April.
    15. M. Abul Hasan, 2025. "Exploring the Intricate Future of Bangladesh in the Context of Regional Geopolitical Dynamics," Outlines of global transformations: politics, economics, law, Center for Crisis Society Studies, vol. 17(3).
    16. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
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