Smart Textiles and IoT Integration for Entrepreneurial Growth in Nigeria's Fashion Industry
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The integration of smart textiles and the Internet of Things (IoT) presents transformative opportunities for entrepreneurial growth in Nigeria's fashion industry, particularly among small and medium-sized enterprises (SMEs) rooted in cultural heritage. This study employs a sequential explanatory mixed-methods design, grounded in an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework, to examine adoption drivers, barriers, and outcomes. Quantitative data from 248 fashion SME respondents revealed that performance expectancy (β = 0.42, p < 0.001), cultural compatibility, sustainability orientation, and competitive pressure significantly predict behavioral intention, while infrastructure readiness negatively moderates the performance expectancy–intention relationship. Qualitative insights from 22 interviews and 5 focus groups highlighted perceived benefits in production efficiency, waste reduction, and global market differentiation through interactive, heritage-infused products, yet underscored persistent constraints including unreliable electricity, high costs, limited digital skills, and inadequate policy implementation. Despite moderate adoption intention, actual use remains low, creating an intention–behavior gap. However, successful adoption strongly links to entrepreneurial outcomes, including revenue growth, innovation, and job creation. The findings extend UTAUT by incorporating context-specific constructs relevant to the Global South and emphasize the need for targeted interventions reliable energy access, affordable financing, localized training, and strengthened public–private partnerships to bridge adoption barriers. By addressing these challenges, Nigeria can position its fashion sector as a leader in African fashion technology, converting traditional craftsmanship into sustainable, data-driven, globally competitive enterprises aligned with Sustainable Development Goals.
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Smart Textiles and IoT Integration.pdf
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