Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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This Author published in this journals
All Journal Research of Economics and Business International Journal of Management Science
Nguyen Van Luc
Human Resources Department - Enterprise Resources Asia & World, Viet Nam
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Hybrid Intelligence Between Humans and AI in Modern Business Operations: An Integrative Literature Review Van Nhan Nguyen; Nguyen Van Luc
International Journal of Management Science Vol. 4 No. 1 (2026): January-June
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/ijms.v4i1.658

Abstract

Artificial intelligence (AI) and generative AI are reshaping business operations by enabling Hybrid Intelligence, in which human judgment and machine intelligence are mobilized for organizational decision-making. Yet prior research remains fragmented, emphasizing automation, efficiency, and digital transformation more than the mechanisms through which humans and AI collaborate, how leadership roles change, and how such collaboration should be governed, particularly in the Vietnamese enterprise context. This study develops an integrative synthesis of the literature on Hybrid Intelligence, digital leadership, and AI-enabled business governance. An integrative literature review was conducted using structured document screening inspired by PRISMA guidelines. Publications from Scopus, Web of Science, Dimensions, Google Scholar, and PubMed were reviewed for the period 2016–April 2026. The synthesis shows that Hybrid Intelligence emerges from the complementary integration of AI’s capabilities in data processing, prediction, pattern recognition, and knowledge acceleration with human critical reasoning, strategic intuition, creativity, ethical judgment, and empathy. The findings also indicate a shift in leadership from hierarchical control toward ecosystem orchestration, where leaders define goals, interpret AI outputs, manage risks, and ensure responsible human–AI collaboration. Based on the reviewed literature, the study proposes a conceptual Hybrid Intelligence governance model comprising five components: AI capability, human capability, collaboration mechanisms, leadership transformation, and sustainable organizational performance. It also identifies key governance challenges, including hallucination, algorithmic bias, skill displacement, and overdependence on automated systems. Overall, the paper argues that sustainable enterprise value in the AI era depends not on replacing humans, but on designing accountable systems that integrate human and machine intelligence.
Hybrid Intelligence: A Three-Layer Model for Business Operations in the AI Era Nguyễn Văn Nhân; Nguyễn Văn Lực
Research of Economics and Business Vol. 4 No. 2 (2026): SEPTEMBER 2026, CONTINOUS
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/reb.v4i2.623

Abstract

The rapid advancement of Artificial Intelligence (AI) and Generative AI is accelerating the emergence of Hybrid Intelligence in business operations. While prior studies mainly emphasize technological development, operational efficiency, and digital transformation, the mechanisms of human–AI collaboration and conceptual models explaining Hybrid Intelligence remain underexplored, particularly in the Vietnamese context. This study aims to synthesize the theoretical foundations of Hybrid Intelligence and propose a Three-Layer Hybrid Intelligence Model for business organizations. An integrative literature review following Torraco (2016) and the PRISMA framework of Moher et al. (2009) was employed. Literature was collected from Scopus, Web of Science, Dimensions, Google Scholar, and PubMed, covering 2016 to April 2026. The findings show that Hybrid Intelligence emerges through the integration of AI’s data-processing capabilities with human critical thinking, strategic judgment, ethics, and empathy. The proposed model comprises three interconnected layers: (1) AI capability, (2) human strategic capability, and (3) the collaborative human–AI mechanism that generates Hybrid Intelligence. The study also highlights leadership transformation toward orchestrating human–AI collaboration while addressing risks such as AI hallucination, algorithmic bias, skill erosion, and overreliance on AI. The model provides a conceptual foundation for future empirical research and sustainable AI-enabled business management.
Co-Authors Nguyễn Văn Nhân Van Nhan Nguyen