Human-Centered AI Adoption in Global Industrial SMEs: Organizational Trust, Psychological Impacts, and the Growth–Transformation Paradox
Published in:
Vol. 20. No. 2 (2025)
Abstract:
Small and medium-sized enterprises (SMEs) represent more than 90% of global firms and constitute the backbone of employment, supply-chain stability, and economic development. However, these enterprises face chronic structural vulnerabilities when adopting advanced technologies such as artificial intelligence (AI). This article provides a global, human-centered assessment of AI adoption in industrial SMEs, examining organizational trust, psychological effects on workers, leadership behavior, structural gaps, and cross-regional disparities. Drawing on verified data from OECD, World Bank, McKinsey, Eurostat, African Development Bank, INEGI, and ILO, this research analyzes AI integration patterns in North America, the European Union, Latin America, Africa, and Southeast Asia. The findings highlight the persistent “Growth–Transformation Paradox,” where the increasing number of SMEs worldwide does not translate into structural technological readiness. The study concludes with a comprehensive framework for human-centered, ethical, and psychologically sustainable AI deployment.
Vol. 20. No. 2 (2025)
Abstract:
Small and medium-sized enterprises (SMEs) represent more than 90% of global firms and constitute the backbone of employment, supply-chain stability, and economic development. However, these enterprises face chronic structural vulnerabilities when adopting advanced technologies such as artificial intelligence (AI). This article provides a global, human-centered assessment of AI adoption in industrial SMEs, examining organizational trust, psychological effects on workers, leadership behavior, structural gaps, and cross-regional disparities. Drawing on verified data from OECD, World Bank, McKinsey, Eurostat, African Development Bank, INEGI, and ILO, this research analyzes AI integration patterns in North America, the European Union, Latin America, Africa, and Southeast Asia. The findings highlight the persistent “Growth–Transformation Paradox,” where the increasing number of SMEs worldwide does not translate into structural technological readiness. The study concludes with a comprehensive framework for human-centered, ethical, and psychologically sustainable AI deployment.
Keywords:
Artificial Intelligence; SMEs; Industry 5.0; Human–Machine Collaboration; Organizational Trust; Workforce Psychology; Global Development; Digital Transformation.
Artificial Intelligence; SMEs; Industry 5.0; Human–Machine Collaboration; Organizational Trust; Workforce Psychology; Global Development; Digital Transformation.
Link to the article/Enlace al artículo:
http://www.spentamexico.org/v20-n2/A23.20(2)1-17.pdf
DOI:
https://doi.org/10.64244/dv20i2a23
http://www.spentamexico.org/v20-n2/A23.20(2)1-17.pdf
DOI:
https://doi.org/10.64244/dv20i2a23
Author(s) / Autores:
Dr. Mario Guadalupe López Ayala & Dr. Israel Osuna Flores
Dr. Mario Guadalupe López Ayala & Dr. Israel Osuna Flores
Citation / Cita:
Dr. Mario Guadalupe López Ayala & Dr. Israel Osuna Flores. 2025. Human-Centered AI Adoption in Global Industrial SMEs: Organizational Trust, Psychological Impacts, and the Growth–Transformation Paradox Daena: International Journal of Good Conscience. A23.20(2)1-17. Agosto-Diciembre 2025. ISSN 1870-557X / ISSN 3065-7814). DOI: https://doi.org/10.64244/dv20i2a23
Dr. Mario Guadalupe López Ayala & Dr. Israel Osuna Flores. 2025. Human-Centered AI Adoption in Global Industrial SMEs: Organizational Trust, Psychological Impacts, and the Growth–Transformation Paradox Daena: International Journal of Good Conscience. A23.20(2)1-17. Agosto-Diciembre 2025. ISSN 1870-557X / ISSN 3065-7814). DOI: https://doi.org/10.64244/dv20i2a23
