Skip to content
Open access

Human-Centered Supply Chain Agility in AI-Enabled Customized Apparel Production: Evidence from Qualitative Interviews in the Central American Apparel Industry

Sep 2026 · Sustainability · Vol 18, pp. 8938 · 0 citations · 43 references

Abstract

Customer customization and high-mix, low-volume production have increased operational complexity and sustainability pressures in global apparel supply chains. Although artificial intelligence (AI) improves visibility, forecasting, and decision support, limited research explains how AI-generated intelligence is translated into coordinated organizational action in labor-intensive manufacturing. This study examines how strategic flexibility, manufacturing flexibility, AI-enabled operational intelligence, and human expertise interact in the enactment of Human-Centered Supply Chain Agility (HCSA) in customized apparel manufacturing. An exploratory qualitative design was employed using semi-structured interviews with 13 senior managers and executives from apparel manufacturing firms operating in Guatemala, Honduras, Nicaragua, and El Salvador. Reflexive thematic analysis identified seven interrelated themes: customer customization and operational uncertainty, strategic flexibility, manufacturing flexibility, AI-enabled operational intelligence, human expertise, AI–human complementarity, and coordinated organizational response. Participants reported varying levels of engagement with AI-assisted and broader digital systems. Where AI-supported tools were used, they primarily provided enhanced visibility and analytical support, while experienced managers remained responsible for contextual interpretation, priority setting, exception handling, and implementation decisions. Participants associated these digitally supported and human-centered processes with more efficient resource use, reduced operational waste, organizational resilience, and more responsible managerial decision-making. Rather than proposing a new theory, this study offers an empirically grounded, process-oriented interpretation of how established agility capabilities are enacted in AI-enabled customized apparel manufacturing.

Read PDF

Similar papers

Review Open access Aug 2026

AI-Driven Leadership in Manufacturing Supply Chains: A Systematic Literature Review, Research Gaps Analysis, and Exploratory Study of Egyptian Manufacturing Firms

This study conceptualizes AI-driven leadership as a higher-order dynamic capability through which leaders sense AI-enabled opportunities and threats, seize them through strategic resource orchestration and governance, and reconfigure organizational and supply-chain capabilities to enhance intelligence, resilience, agil...

A. Gomaa · 0 citations
Review Open access Aug 2026

From Intention to Integration: How Adoption Cost and Technical Complexity Constrain Artificial Intelligence in Aviation Supply Chains

Artificial intelligence (AI) can improve forecasting, inventory control, maintenance planning, logistics visibility, and decision support, yet organizations often struggle to move from pilots to embedded operational use. This study examines how two salient implementation barriers—cost of adoption and technical complexi...

Umama Arshad, Muhammad Nazim · 0 citations
Open access Sep 2026

Proactivity and Adaptive Response in Production Planning: An Illustrative Case Study of Workforce Agility in the PPIC Department

PT XYZ, a plastic packaging manufacturer in Indonesia, is highly exposed to seasonal spikes and supply chain disruptions caused by geopolitical factors. As a manufacturing organization, it increasingly operates in a dynamic environment characterized by fluctuations in demand and tight operational constraints. Employee...

A. Astrid, Ririn Sulistyowati, Yoga Wibisono · 0 citations
Open access Sep 2026

Microfoundations of Adaptive Decision‐Making Capability: How Chief Supply Chain Officers Convert Technology‐Enabled Visibility Into Coordinated Action

Supply chain leaders increasingly operate with extensive technology‐enabled visibility, yet many firms still struggle to convert shared signals into timely, coordinated action. We frame this tension as the visibility‐to‐action problem in supply chain management (SCM): executives observe more than they can process and...

Sreedhar Madhavaram, K. T. Manis, Matt Belford et al. · 0 citations
Review Open access Aug 2026

Digital Technologies for Sustainable Supply Chain Transformation: A Qualitative Study of Adoption, Benefits, and Barriers in Central European Industries

Digital technologies are widely expected to reshape supply chains, yet the conditions under which they deliver operational and sustainability-related value in practice remain insufficiently understood. This study examines how digital technologies influence supply chain operations and performance, where performance is o...

Martin Končár, Adel Aazami, Sebastian Kummer et al. · 0 citations
Review Open access Sep 2026

Supply Chain Flexibility in Modern Markets: The Impact of Technological Integration, Workforce Agility, and Supplier Relationship Management through Operational Responsiveness

Supply chain flexibility is vital for firms operating in dynamic, technology-driven environments. This study examines how technology integration, workforce agility, supplier relationship management, and operational responsiveness influence flexible supply chains. Grounded in dynamic capabilities theory and adaptive sup...

M. Moniruzzaman, Junainah Mahdee, Nurazlin Binti Mohd Fauzi · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.