Data-Driven Sustainability: How Predictive Analytics ShapeSupply Chain Performance

https://doi.org/10.35912/amor.v6i4.2613
Published: Jul 3, 2025

Abstract:

Purpose: The integration of predictive analytics into supply chains has emerged as a critical driver of sustainability in the manufacturing sector. This study explores the role of predictive analytics in enhancing sustainable supply chain performance, with a particular focus on manufacturing firms in Dhaka, Bangladesh.

Research Methodology: This study adopts a positivist paradigm with a hypothetical deductive approach and employs a cross-sectional design. Data were collected from 211 manufacturing firms using stratified random sampling and structured questionnaire surveys.

Results: The findings revealed that supply chain transparency, predictive analytics accuracy, data integration, and organizational sustainability goals positively and significantly influenced sustainable supply chain performance. However, no significant relationship was found between technology readiness and sustainable supply chain performance, indicating the need for further investigation into factors beyond technological capabilities.

Conclusions: This study concludes that while predictive analytics and aligned organizational practices are key drivers of sustainable supply chain performance, technology readiness alone is insufficient, highlighting the importance of integrated strategies beyond infrastructure capability.

Limitations: This study is limited to manufacturing firms in Dhaka and adopts a cross-sectional design, which restricts the generalizability of the findings. Future research should explore longitudinal studies and incorporate other industries to provide a broader perspective on sustainable supply chain performance.

Contribution: These results highlight the importance of fostering transparent practices, enhancing predictive analytics capabilities and aligning organizational goals with sustainability objectives. The practical implications include strategies for improved data integration and analytics adoption to drive sustainable outcomes

Keywords:
1. Data Integration
2. Manufacturing Industry
3. Predictive Analytics
4. Supply Chain Transparency
5. Sustainable Supply Chain
Authors:
1 . Ismoth Zerine
College of Graduate and Professional studies, Trine University, 2900 S Diablo Way, Building D, Suite D281, Tempe, AZ 85282
2 . Younis Ali Biswas
Faculty of Hospitality, Lincoln University College, Wisma Lincoln, 12-18, Jalan SS 6/12, 47301 Petaling Jaya, Selangor, Malaysia
3 . Md Zulkernain Doha
Faculty Business and Technology, Grand Canyon University, 3300 W Camelback Rd, Phoenix, AZ 85017
4 . Humayra Mehreen Meghla
Faculty of Life Sciences, Glendale Community College, 6000 W Olive Ave, Glendale, AZ 85302
5 . Mohammad Rashed Hasan Polas
Asia Pacific University of Technology and Innovation (APU), Malaysia
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How to Cite
Zerine, I. . ., Biswas , Y. A. ., Doha, M. Z. ., Meghla , H. M. ., & Polas, M. R. H. (2025). Data-Driven Sustainability: How Predictive Analytics ShapeSupply Chain Performance. Annals of Management and Organization Research, 6(4), 433–446. https://doi.org/10.35912/amor.v6i4.2613
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Issue & Section
Vol. 6 No. 4 (2025): May
Articles
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References

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    Afrin, S., Sehreen, F., Polas, M. R. H., & Sharin, R. (2020). Corporate Social Responsibility (CSR) Practices of Financial Institution in Bangladesh: The Case of United Commercial Bank. Journal of Sustainable Tourism and Entrepreneurship, 2(2), 69-82. doi:https://doi.org/10.35912/joste.v2i2.539

    AI Humdan, E., Shi, Y., Behina, M., & Chowdhury, M. (2024). Examining Agile Supply Chains: An Empirical Study in Australia. Production Planning & Control, 35(11), 1313-1331. doi:https://doi.org/10.1080/09537287.2023.2180683

    Aitken, J., Esain, A. E., & Williams, S. (2021). Management of Complexity in the Care Ecosystem. Supply Chain Management: An International Journal, 26(4), 481-494. doi:https://doi.org/10.1108/SCM-05-2020-0207

    Al-Khatib, A. W. (2022). Big Data Analytics Capabilities and Green Supply Chain Performance: Investigating the Moderated Mediation Model for Green Innovation and Technological Intensity. Business Process Management Journal, 28(5/6), 1446-1471. doi:https://doi.org/10.1108/BPMJ-07-2022-0332

    Albertoni, F., Elia, S., Massini, S., & Piscitello, L. (2017). The Reshoring of Business Services: Reaction to Failure or Persistent Strategy? Journal of World Business, 52(3), 417-430. doi:https://doi.org/10.1016/j.jwb.2017.01.005

    Apolaagoa, C. A., Muhammed, A.-R., Zuzie, R. S., & Owusu, A. (2023). A bibliometric literature review of green supply chain management and its impacts using VOSviewer and R (Bibliometrix). Journal of Service Science and Management, 16(3), 369-390. doi:https://doi.org/10.4236/jssm.2023.163021

    Atieh Ali, A. A., Sharabati, A.-A. A., Allahham, M., & 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, 16(7), 3082. doi:https://doi.org/10.3390/su16073082

    Bag, S., Dhamija, P., Gupta, S., & Sivarajah, U. (2021). Examining the Role of Procurement 4.0 Towards Remanufacturing Operations and Circular Economy. Production Planning & Control, 32(16), 1368-1383. doi:https://doi.org/10.1080/09537287.2020.1817602

    Bahrami, M., Shokouhyar, S., & Seifian, A. (2022). Big Data Analytics Capability and Supply Chain Performance: The Mediating Roles of Supply Chain Resilience and Innovation. Modern Supply Chain Research and Applications, 4(1), 62-84. doi:https://doi.org/10.1108/MSCRA-11-2021-0021

    Bai, C., & Sarkis, J. (2020). A Supply Chain Transparency and Sustainability Technology Appraisal Model for Blockchain Technology. International Journal of Production Research, 58(7), 2142-2162. doi:https://doi.org/10.1080/00207543.2019.1708989

    Bansal, P., & DesJardine, M. R. (2014). Business Sustainability: It is About Time. Strategic organization, 12(1), 70-78. doi:https://doi.org/10.1177/1476127013520265

    Behl, A., Jayawardena, N. S., Pereira, V., & Sampat, B. (2024). Assessing Retailer Readiness to Use Blockchain Technology to Improve Supply Chain Performance. Journal of Enterprise Information Management, 37(2), 673-697. doi:https://doi.org/10.1108/JEIM-07-2022-0242

    Belhadi, A., Kamble, S., Gunasekaran, A., & Mani, V. (2022). Analyzing the Mediating Role of Organizational Ambidexterity and Digital Business Transformation on Industry 4.0 Capabilities and Sustainable Supply Chain Performance. Supply Chain Management: An International Journal, 27(6), 696-711. doi:https://doi.org/10.1108/SCM-04-2021-0152

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    Farrukh Shahzad, M., Liu, H., & Zahid, H. (2025). Industry 4.0 technologies and sustainable performance: do green supply chain collaboration, circular economy practices, technological readiness and environmental dynamism matter? Journal of Manufacturing Technology Management, 36(1), 1-22. doi:https://doi.org/10.1108/JMTM-05-2024-0236

    Feizabadi, J. (2022). Machine learning demand forecasting and supply chain performance. International Journal of Logistics Research and Applications, 25(2), 119-142. doi:https://doi.org/10.1080/13675567.2020.1803246

    Feng, D., Wang, H., & Zhao, L. (2025). Digital Technologies for Sustainable Supply Chain Performance: Source-Push and Value Chain-Pull Mechanisms. Sustainability, 17(12), 5524. doi:https://doi.org/10.3390/su17125524

    Guandalini, I. (2022). Sustainability through digital transformation: A systematic literature review for research guidance. Journal of Business Research, 148, 456-471. doi:https://doi.org/10.1016/j.jbusres.2022.05.003

    Han, Z., & Huo, B. (2020). The impact of green supply chain integration on sustainable performance. Industrial management & data systems, 120(4), 657-674. doi:https://doi.org/10.1108/IMDS-07-2019-0373

    Jia, F., Li, K., Zhang, T., & Chen, L. (2024). Triple A supply chain management and sustainability. Industrial management & data systems. doi:https://doi.org/10.1108/IMDS-10-2023-0756

    Karmaker, C. L., Al Aziz, R., Ahmed, T., Misbauddin, S., & Moktadir, M. A. (2023). Impact of industry 4.0 technologies on sustainable supply chain performance: The mediating role of green supply chain management practices and circular economy. Journal of cleaner production, 419, 138249. doi:https://doi.org/10.1016/j.jclepro.2023.138249

    Karmaker, C. L., Bari, A. M., Anam, M. Z., Ahmed, T., Ali, S. M., de Jesus Pacheco, D. A., & Moktadir, M. A. (2023). Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy. International Journal of Production Economics, 258, 108806. doi:https://doi.org/10.1016/j.ijpe.2023.108806

    Liu, R., Jong, C., & Fan, M. (2024). Reciprocal relationship between self-efficacy and achievement in mathematics among high school students: First author. Large-scale Assessments in Education, 12(1), 14.

    Madhani, P. M. (2022). Big Data Analytics in Supply Chain Management: Dynamic Capabilities View. IUP Journal of Supply Chain Management, 19(3).

    Mailani, D., Hulu, M. Z. T., Simamora, M. R., & Kesuma, S. A. (2024). Resource-Based View Theory to Achieve a Sustainable Competitive Advantage of the Firm: Systematic Literature Review. International Journal of Entrepreneurship and Sustainability Studies, 4(1), 1. doi:https://doi.org/10.31098/ijeass.v4i1.2002

    Mishra, M. K., Choudhury, D., & Rao, K. V. G. (2019). Impact of SMEs green supply chain practice adoption on SMEs firm and environmental performance. Theoretical Economics Letters, 9(6), 1901-1919. doi:https://doi.org/10.4236/tel.2019.96121

    Muchenje, C., Ruzive, B., Mugoni, E., Katsvairo, H., & Tapera, M. C. (2023). Sustainable Supply Chain Management: Reducing the Environmental Impact of Production and Distribution Processes. Sustainable Marketing, Branding, and Reputation Management: Strategies for a Greener Future, 52-66. doi:http://dx.doi.org/10.4018/979-8-3693-0019-0.ch003

    Munim, Z. H., Vladi, O., & Ibne Hossain, N. U. (2023). Data Analytics applications in supply chain resilience and Sustainability management: The state of the art and a way forward. Data Analytics for Supply Chain Networks, 1-13. doi:https://doi.org/10.1108/IJPDLM-12-2020-0434

    Oyewole, A. T., Okoye, C. C., Ofodile, O. C., & Ejairu, E. (2024). Reviewing predictive analytics in supply chain management: Applications and benefits. World Journal of Advanced Research and Reviews, 21(3), 568-574. doi:https://doi.org/10.30574/wjarr.2024.21.3.0673

    Polas, M. R. H., Afshar Jahanshahi, A., Islam, M. E., Kabir, A. I., Sohel?Uz?Zaman, A. S. M., & Fahad, A. A. (2025). A Journey From Traditional Supply Chain Processes to Sustainability?Oriented Blockchain Supply Chain: The Critical Role of Organizational Capabilities. Business Strategy and the Environment. doi:https://doi.org/10.1002/bse.4159

    Rahman, M. A., Saha, P., Belal, H., Hasan Ratul, S., & Graham, G. (2024). Big Data Analytics Capability and Supply Chain Sustainability: Analyzing the Moderating Role of Green Supply Chain Management Practices. Benchmarking: An International Journal. doi:https://doi.org/10.1108/BIJ-10-2024-0852

    Rehman Khan, S. A., Ahmad, Z., Sheikh, A. A., & Yu, Z. (2022). Digital transformation, smart technologies, and eco-innovation are paving the way toward sustainable supply chain performance. Science Progress, 105(4), 00368504221145648. doi:https://doi.org/10.1177/00368504221145648

    Shahzad, M. F., Liu, H., & Zahid, H. (2025). Industry 4.0 technologies and sustainable performance: do green supply chain collaboration, circular economy practices, technological readiness and environmental dynamism matter? Journal of Manufacturing Technology Management, 36(1), 1-22. doi:https://doi.org/10.1108/JMTM-05-2024-0236

    Ullah, S., Kukreti, M., Sami, A., & Shaukat, M. R. (2025). Leveraging technological readiness and green dynamic capability to enhance sustainability performance in manufacturing firms. Journal of Manufacturing Technology Management, 36(3), 714-730. doi:https://doi.org/10.1108/JMTM-05-2024-0268

    Varsei, M., Soosay, C., Fahimnia, B., & Sarkis, J. (2014). Framing sustainability performance of supply chains with multidimensional indicators. Supply chain management: An international journal, 19(3), 242-257. doi:https://doi.org/10.1108/SCM-12-2013-0436

    Wang, S., & Yang, L. (2022). Spatial competition, strategic R&D and the structure of innovation networks. Journal of Business Research, 139, 13-31. doi:https://doi.org/10.1016/j.jbusres.2021.09.037

    Wang, W., He, Y., Lei, Y., Gao, W., Li, Y., Lan, H., . . . Höök, M. (2023). Digital economy sectors are key CO2 transmission centers in the economic system. Journal of cleaner production, 407, 136873. doi:https://doi.org/10.1016/j.jclepro.2023.136873

  1. Abareshi, M. (2025). Investigating employer perspectives on the polytechnic sector's industrial training program: A case study of iranian companies. Annals of Management and Organization Research, 6(3), 181-202. doi:https://doi.org/10.35912/amor.v6i3.2246
  2. Afrin, S., Sehreen, F., Polas, M. R. H., & Sharin, R. (2020). Corporate Social Responsibility (CSR) Practices of Financial Institution in Bangladesh: The Case of United Commercial Bank. Journal of Sustainable Tourism and Entrepreneurship, 2(2), 69-82. doi:https://doi.org/10.35912/joste.v2i2.539
  3. AI Humdan, E., Shi, Y., Behina, M., & Chowdhury, M. (2024). Examining Agile Supply Chains: An Empirical Study in Australia. Production Planning & Control, 35(11), 1313-1331. doi:https://doi.org/10.1080/09537287.2023.2180683
  4. Aitken, J., Esain, A. E., & Williams, S. (2021). Management of Complexity in the Care Ecosystem. Supply Chain Management: An International Journal, 26(4), 481-494. doi:https://doi.org/10.1108/SCM-05-2020-0207
  5. Al-Khatib, A. W. (2022). Big Data Analytics Capabilities and Green Supply Chain Performance: Investigating the Moderated Mediation Model for Green Innovation and Technological Intensity. Business Process Management Journal, 28(5/6), 1446-1471. doi:https://doi.org/10.1108/BPMJ-07-2022-0332
  6. Albertoni, F., Elia, S., Massini, S., & Piscitello, L. (2017). The Reshoring of Business Services: Reaction to Failure or Persistent Strategy? Journal of World Business, 52(3), 417-430. doi:https://doi.org/10.1016/j.jwb.2017.01.005
  7. Apolaagoa, C. A., Muhammed, A.-R., Zuzie, R. S., & Owusu, A. (2023). A bibliometric literature review of green supply chain management and its impacts using VOSviewer and R (Bibliometrix). Journal of Service Science and Management, 16(3), 369-390. doi:https://doi.org/10.4236/jssm.2023.163021
  8. Atieh Ali, A. A., Sharabati, A.-A. A., Allahham, M., & 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, 16(7), 3082. doi:https://doi.org/10.3390/su16073082
  9. Bag, S., Dhamija, P., Gupta, S., & Sivarajah, U. (2021). Examining the Role of Procurement 4.0 Towards Remanufacturing Operations and Circular Economy. Production Planning & Control, 32(16), 1368-1383. doi:https://doi.org/10.1080/09537287.2020.1817602
  10. Bahrami, M., Shokouhyar, S., & Seifian, A. (2022). Big Data Analytics Capability and Supply Chain Performance: The Mediating Roles of Supply Chain Resilience and Innovation. Modern Supply Chain Research and Applications, 4(1), 62-84. doi:https://doi.org/10.1108/MSCRA-11-2021-0021
  11. Bai, C., & Sarkis, J. (2020). A Supply Chain Transparency and Sustainability Technology Appraisal Model for Blockchain Technology. International Journal of Production Research, 58(7), 2142-2162. doi:https://doi.org/10.1080/00207543.2019.1708989
  12. Bansal, P., & DesJardine, M. R. (2014). Business Sustainability: It is About Time. Strategic organization, 12(1), 70-78. doi:https://doi.org/10.1177/1476127013520265
  13. Behl, A., Jayawardena, N. S., Pereira, V., & Sampat, B. (2024). Assessing Retailer Readiness to Use Blockchain Technology to Improve Supply Chain Performance. Journal of Enterprise Information Management, 37(2), 673-697. doi:https://doi.org/10.1108/JEIM-07-2022-0242
  14. Belhadi, A., Kamble, S., Gunasekaran, A., & Mani, V. (2022). Analyzing the Mediating Role of Organizational Ambidexterity and Digital Business Transformation on Industry 4.0 Capabilities and Sustainable Supply Chain Performance. Supply Chain Management: An International Journal, 27(6), 696-711. doi:https://doi.org/10.1108/SCM-04-2021-0152
  15. Das, S., & Hassan, H. K. (2022). Impact of sustainable supply chain management and customer relationship management on organizational performance. International Journal of Productivity and Performance Management, 71(6), 2140-2160. doi:https://doi.org/10.1108/IJPPM-08-2020-0441
  16. Farrukh Shahzad, M., Liu, H., & Zahid, H. (2025). Industry 4.0 technologies and sustainable performance: do green supply chain collaboration, circular economy practices, technological readiness and environmental dynamism matter? Journal of Manufacturing Technology Management, 36(1), 1-22. doi:https://doi.org/10.1108/JMTM-05-2024-0236
  17. Feizabadi, J. (2022). Machine learning demand forecasting and supply chain performance. International Journal of Logistics Research and Applications, 25(2), 119-142. doi:https://doi.org/10.1080/13675567.2020.1803246
  18. Feng, D., Wang, H., & Zhao, L. (2025). Digital Technologies for Sustainable Supply Chain Performance: Source-Push and Value Chain-Pull Mechanisms. Sustainability, 17(12), 5524. doi:https://doi.org/10.3390/su17125524
  19. Guandalini, I. (2022). Sustainability through digital transformation: A systematic literature review for research guidance. Journal of Business Research, 148, 456-471. doi:https://doi.org/10.1016/j.jbusres.2022.05.003
  20. Han, Z., & Huo, B. (2020). The impact of green supply chain integration on sustainable performance. Industrial management & data systems, 120(4), 657-674. doi:https://doi.org/10.1108/IMDS-07-2019-0373
  21. Jia, F., Li, K., Zhang, T., & Chen, L. (2024). Triple A supply chain management and sustainability. Industrial management & data systems. doi:https://doi.org/10.1108/IMDS-10-2023-0756
  22. Karmaker, C. L., Al Aziz, R., Ahmed, T., Misbauddin, S., & Moktadir, M. A. (2023). Impact of industry 4.0 technologies on sustainable supply chain performance: The mediating role of green supply chain management practices and circular economy. Journal of cleaner production, 419, 138249. doi:https://doi.org/10.1016/j.jclepro.2023.138249
  23. Karmaker, C. L., Bari, A. M., Anam, M. Z., Ahmed, T., Ali, S. M., de Jesus Pacheco, D. A., & Moktadir, M. A. (2023). Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy. International Journal of Production Economics, 258, 108806. doi:https://doi.org/10.1016/j.ijpe.2023.108806
  24. Liu, R., Jong, C., & Fan, M. (2024). Reciprocal relationship between self-efficacy and achievement in mathematics among high school students: First author. Large-scale Assessments in Education, 12(1), 14.
  25. Madhani, P. M. (2022). Big Data Analytics in Supply Chain Management: Dynamic Capabilities View. IUP Journal of Supply Chain Management, 19(3).
  26. Mailani, D., Hulu, M. Z. T., Simamora, M. R., & Kesuma, S. A. (2024). Resource-Based View Theory to Achieve a Sustainable Competitive Advantage of the Firm: Systematic Literature Review. International Journal of Entrepreneurship and Sustainability Studies, 4(1), 1. doi:https://doi.org/10.31098/ijeass.v4i1.2002
  27. Mishra, M. K., Choudhury, D., & Rao, K. V. G. (2019). Impact of SMEs green supply chain practice adoption on SMEs firm and environmental performance. Theoretical Economics Letters, 9(6), 1901-1919. doi:https://doi.org/10.4236/tel.2019.96121
  28. Muchenje, C., Ruzive, B., Mugoni, E., Katsvairo, H., & Tapera, M. C. (2023). Sustainable Supply Chain Management: Reducing the Environmental Impact of Production and Distribution Processes. Sustainable Marketing, Branding, and Reputation Management: Strategies for a Greener Future, 52-66. doi:http://dx.doi.org/10.4018/979-8-3693-0019-0.ch003
  29. Munim, Z. H., Vladi, O., & Ibne Hossain, N. U. (2023). Data Analytics applications in supply chain resilience and Sustainability management: The state of the art and a way forward. Data Analytics for Supply Chain Networks, 1-13. doi:https://doi.org/10.1108/IJPDLM-12-2020-0434
  30. Oyewole, A. T., Okoye, C. C., Ofodile, O. C., & Ejairu, E. (2024). Reviewing predictive analytics in supply chain management: Applications and benefits. World Journal of Advanced Research and Reviews, 21(3), 568-574. doi:https://doi.org/10.30574/wjarr.2024.21.3.0673
  31. Polas, M. R. H., Afshar Jahanshahi, A., Islam, M. E., Kabir, A. I., Sohel?Uz?Zaman, A. S. M., & Fahad, A. A. (2025). A Journey From Traditional Supply Chain Processes to Sustainability?Oriented Blockchain Supply Chain: The Critical Role of Organizational Capabilities. Business Strategy and the Environment. doi:https://doi.org/10.1002/bse.4159
  32. Rahman, M. A., Saha, P., Belal, H., Hasan Ratul, S., & Graham, G. (2024). Big Data Analytics Capability and Supply Chain Sustainability: Analyzing the Moderating Role of Green Supply Chain Management Practices. Benchmarking: An International Journal. doi:https://doi.org/10.1108/BIJ-10-2024-0852
  33. Rehman Khan, S. A., Ahmad, Z., Sheikh, A. A., & Yu, Z. (2022). Digital transformation, smart technologies, and eco-innovation are paving the way toward sustainable supply chain performance. Science Progress, 105(4), 00368504221145648. doi:https://doi.org/10.1177/00368504221145648
  34. Shahzad, M. F., Liu, H., & Zahid, H. (2025). Industry 4.0 technologies and sustainable performance: do green supply chain collaboration, circular economy practices, technological readiness and environmental dynamism matter? Journal of Manufacturing Technology Management, 36(1), 1-22. doi:https://doi.org/10.1108/JMTM-05-2024-0236
  35. Ullah, S., Kukreti, M., Sami, A., & Shaukat, M. R. (2025). Leveraging technological readiness and green dynamic capability to enhance sustainability performance in manufacturing firms. Journal of Manufacturing Technology Management, 36(3), 714-730. doi:https://doi.org/10.1108/JMTM-05-2024-0268
  36. Varsei, M., Soosay, C., Fahimnia, B., & Sarkis, J. (2014). Framing sustainability performance of supply chains with multidimensional indicators. Supply chain management: An international journal, 19(3), 242-257. doi:https://doi.org/10.1108/SCM-12-2013-0436
  37. Wang, S., & Yang, L. (2022). Spatial competition, strategic R&D and the structure of innovation networks. Journal of Business Research, 139, 13-31. doi:https://doi.org/10.1016/j.jbusres.2021.09.037
  38. Wang, W., He, Y., Lei, Y., Gao, W., Li, Y., Lan, H., . . . Höök, M. (2023). Digital economy sectors are key CO2 transmission centers in the economic system. Journal of cleaner production, 407, 136873. doi:https://doi.org/10.1016/j.jclepro.2023.136873