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Asian Journal of Technology Innovation· 2026Q2

Vietnam'daki Tayvan KOBİ'lerinde Akıllı Üretim Benimsemenin Sürücüleri

A mixed-methods investigation of stage-specific drivers for smart manufacturing adoption in Taiwanese SMEs operating in Vietnam as a case study

Tsung-Yin Ou, Stephen Strombeck, Hsin‐Pin Fu, Chia-Chen Tsai ve diğerleri

Kısa özet

Vietnam'daki Tayvan KOBİ'lerinin akıllı üretim benimsemesi en çok benimseme sonrası sonuçlardan (%58,9), ardından uygulama (%23,4) ve benimseme öncesi değerlendirmeden (%17,6) etkilenmektedir; insan-makine entegrasyonu ve esnek üretim kilit faktörlerdir.

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Özet (abstract)

This study investigates the determinants influencing Taiwanese small and medium-sized enterprises (SMEs) in Vietnam to adopt smart manufacturing systems by applying a mixed methods research (MMR) approach and an integrated three-stage framework across pre-adoption, implementation, and post-adoption phases. Employing a mixed-methods design, the quantitative phase of this approach applies the fuzzy analytic hierarchy process (FAHP) to evaluate 27 expert-validated factors. The empirical results reveal that post-adoption outcomes hold the highest priority (58.9%), followed by implementation (23.4%) and pre-adoption evaluation (17.6%). Key determinants such as human–machine integration, system solution capability, and flexible production highlight the critical role of organisational support and talent development. Within the qualitative phase, two complementary case studies – a textile dyeing digitalisation project and an automated helmet painting system – validate these priorities, demonstrating that operational efficiency, defect reduction, and manager-integrator involvement are critical to cross-border adoption success. Ultimately, this paper provides an empirical, stage-based framework for smart manufacturing diffusion in emerging markets and offers vital strategic guidance for international technology solution providers entering the Vietnamese market.

Yazarların özeti; kaynağından alınmıştır. Asian Journal of Technology Innovation, 2026 · DOI ↗

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