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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

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Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

Integrating workflow and supply chain optimization for long-term business sustainability: An Integrated Operating Model for Performance, Resilience, and Responsible Growth

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Victor James Uko 1, *, Essien Mmedo 3, James Agaji 2 and Vincent Kelechi Okechukwu 4

1 Darla Moore Business School, University of South Carolina, Columbia, South Carolina, USA.

2 Applied AI and Data Analytics, University of Bradford UK.

3 Information Technology Department, American National University International business, University of Hertfordshire, USA.

4 Department of Industrial and Production Engineering, Faculty of Technology, University of Ibadan, Nigeria.

Review Article

International Journal of Science and Research Archive, 2026, 18(01), 513-529

Article DOI: 10.30574/ijsra.2026.18.1.0098

DOI url: https://doi.org/10.30574/ijsra.2026.18.1.0098

Received on 10 December 2025; revised on 14 January 2026; accepted on 17 January 2026

Organizations increasingly face mounting pressure to improve operational efficiency while simultaneously pursuing long-term business sustainability amid volatile markets, supply chain disruptions, and growing environmental and social accountability. Despite this urgency, workflow optimization initiatives are frequently implemented independently of supply chain optimization efforts, resulting in fragmented decision-making, misaligned performance metrics, and suboptimal sustainability outcomes. This study examines how the strategic integration of workflow and supply chain optimization can enhance operational performance, supply chain resilience, and sustainability outcomes in a real-world organizational context. Using an in-depth case study of a mid-sized manufacturing organization, this research analyzes the firm’s transition from functionally siloed operational improvements to a coordinated, end-to-end optimization approach. Data was collected through semi-structured interviews with key stakeholders across operations and supply chain functions, analysis of internal operational and supply chain performance records, and review of sustainability and environmental impact reports. A triangulated analysis was employed to assess changes in performance before and after integration. The findings reveal that aligning internal workflows with upstream and downstream supply chain processes led to significant reductions in cycle time and process variability, improved inventory turnover and service levels, and stronger supplier collaboration and coordination. Importantly, these operational and supply chain improvements were accompanied by measurable sustainability benefits, including reduced material waste, lower energy consumption, and decreased transportation-related emissions. The results suggest that sustainability gains were not incidental but rather emerged as a direct outcome of integrated decision-making and aligned performance incentives. This study contributes to the operations and supply chain management literature by providing empirical evidence on the role of workflow supply chain integration in achieving sustainable performance improvements. It extends existing research by demonstrating how integration of mechanisms, governance structures, and shared metrics can translate efficiency gains into long-term sustainability outcomes. From a practical perspective, the study offers a structured framework and actionable insights for managers seeking to move beyond isolated optimization initiatives toward integrated, sustainability-driven operational strategies.

Workflow Optimization; Supply Chain Integration; Sustainability; Operations Management; Business Growth; Manufacturing.

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2026-0098.pdf

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Victor James Uko, Essien Mmedo, James Agaji and Vincent Kelechi Okechukwu. Integrating workflow and supply chain optimization for long-term business sustainability: An Integrated Operating Model for Performance, Resilience, and Responsible Growth. International Journal of Science and Research Archive, 2026, 18(01), 513-529. Article DOI: https://doi.org/10.30574/ijsra.2026.18.1.0098.

Copyright © 2026 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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