ARTIFICIAL INTELLIGENCE ADOPTION IN ENTERPRISES: A LAYERED CAPABILITY FRAMEWORK FOR EMERGING ECONOMIES
DOI:
https://doi.org/10.62985/j.huit_ojs.vol26.no3E.471Từ khóa:
Artificial intelligence, AI capability, digital transformation, Resource-Based View, enterprise AI.Tóm tắt
Artificial Intelligence (AI) is increasingly recognized as a foundational technology for enterprise competitiveness in the digital economy. However, limited research explains how AI capabilities create enterprise value in emerging economies with uneven digital readiness. This study synthesizes the mechanisms of AI-driven value creation and examines structural barriers to enterprise AI adoption in Vietnam. Using a qualitative conceptual research design based on secondary data, the study integrates the Resource-Based View (RBV) with a four-layer AI framework covering data, algorithms, infrastructure, and applications. The findings suggest that AI creates enterprise value through cognitive automation, decision intelligence, and business model innovation, but their effectiveness depends on data governance, digital leadership, human capital, financial readiness, and regulatory support. In Vietnam, adoption is constrained by fragmented data systems, shortages of skilled AI professionals, limited SME investment capacity, and evolving governance frameworks. This study contributes a conceptual synthesis linking AI capability layers to enterprise value creation and provides implications for managers and policymakers seeking to accelerate responsible AI adoption.
Tài liệu tham khảo
[1] PwC, Sizing the prize: What’s the real value of AI for your business?, PwC, 2017. https://www.pwc.com.au/government/pwc-ai-analysis-sizing-the-prize-report.pdf
[2] McKinsey & Company, The state of AI 2024: Generative AI’s breakout year, McKinsey & Company, 2024. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2024
[3] J. Barney, "Firm resources and sustained competitive advantage," Journal of Management, vol. 17, no. 1, pp. 99–120, 1991. https://ia601507.us.archive.org/18/items/barney-1991/Barney%20%281991%29_text.pdf
[4] D. J. Teece, "Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, vol. 28, no. 13, pp. 1319–1350, 2007. https://sms.onlinelibrary.wiley.com/doi/epdf/10.1002/smj.640
[5] P. Mikalef, J. Krogstie, I. O. Pappas, and P. A. Pavlou, "Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities," Information & Management, vol. 57, no. 2, Article 103169, 2020. doi: https://doi.org/10.1016/j.im.2019.05.004
[6] S. L. Wamba-Taguimdje, S. Fosso Wamba, J. R. Kala Kamdjoug, and C. E. Tchatchouang Wanko, "Influence of artificial intelligence on firm performance: The business value of AI-based transformation projects," Business Process Management Journal, vol. 26, no. 7, pp. 1893–1924, 2020. doi: https://doi.org/10.1108/BPMJ-10-2019-0411
[7] P. Mikalef and M. Gupta, "Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance," Information & Management, vol. 58, no. 1, Article 103434, 2021. doi: https://doi.org/10.1016/j.im.2021.103434
[8] Deloitte, State of AI in the enterprise (5th ed.), Deloitte Insights, 2023. https://www.deloitte.com/uk/en/Industries/technology/research/state-of-aiin-the-enterprise-5th-edition.html?
[9] F. Ricci, L. Rokach, and B. Shapira, Eds., Recommender Systems Handbook, 3rd ed. Springer, 2022, doi: https://doi.org/10.1007/978-1-0716-2197-4
[10] T. H. Davenport and R. Ronanki, "Artificial Intelligence for the Real World," Harvard Business Review, vol. 96, no. 1, pp. 108–116, 2018. https://academichelptoday.com/assets/documents/Artificial_Intelligence_for_the_Real_World_-_HBR.pdf
[11] “AI could add $79.3 billion to Viet Nam’s economy by 2030: Google report,” Viet Nam News, Nov. 15, 2024. https://vietnamnews.vn/economy/1667100/ai-could-add-79-3-billion-to-viet-nam-s-economy-by-2030-google-report.html
[12] J. Jöhnk, M. Weißert, and K. Wyrtki, "Ready or Not, AI Comes—An Interview Study of Organizational AI Readiness Factors," Business & Information Systems Engineering, vol. 63, no. 1, pp. 5–20, 2021. doi: https://doi.org/10.1007/s12599-020-00676-7
