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Harnessing Artificial Intelligence (AI) for enhanced organizational performance in public sectors
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  • Published: 04 February 2026

Harnessing Artificial Intelligence (AI) for enhanced organizational performance in public sectors

  • Nhon Hoang Thanh1 &
  • Bac Truong Cong  ORCID: orcid.org/0000-0002-2218-05972,3 

Humanities and Social Sciences Communications , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Information systems and information technology
  • Science, technology and society

Abstract

The increasing importance of artificial intelligence (AI)-driven activities in public organizations necessitates the development of digital transformation capabilities. This paper explores how public organizations can effectively harness AI to enhance organizational performance by driving change in key organizational activities. Through a survey-based study conducted in Vietnam, data were collected from 189 valid respondents. Structural equation modeling was employed to analyze the data. The results indicate that AI capabilities have a positive impact on workflow automation, novel insights generation, and interaction enhancement. Workflow automation and novel insights generation were found to positively influence organizational performance, while interaction enhancement had an insignificant negative effect. These findings shed light on the essential resources that constitute AI capabilities and demonstrate the effects of nurturing such capabilities on crucial organizational activities and, consequently, organizational performance.

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Data availability

The datasets analyzed during this study are not publicly available due to their involvement in ongoing related research. However, the datasets may be made available from the corresponding author upon reasonable request for academic purposes.

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Acknowledgements

This research is funded by Van Lang University, Vietnam under grant number VLU-2510-DT-KTM-GV-0042. We acknowledge Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for supporting this study.

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Authors and Affiliations

  1. Faculty of Commerce, Van Lang University, Ho Chi Minh City, Vietnam

    Nhon Hoang Thanh

  2. School of Industrial Management, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam

    Bac Truong Cong

  3. Vietnam National University, Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam

    Bac Truong Cong

Authors
  1. Nhon Hoang Thanh
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Correspondence to Bac Truong Cong.

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The authors declare no competing interests

Ethical approval

This study was conducted in accordance with the ethical standards of the 1964 Declaration of Helsinki and its later amendments. It involved a voluntary, anonymous questionnaire targeting public sector employees and did not collect any sensitive, personal, medical, or biological information. There was no psychological intervention or foreseeable risk to participants. Based on the nature of the study, it fully meets the exemption conditions outlined in the Regulation on the Organization and Operation of the Research Ethics Committee (Decision No. 1228/QĐ-ĐHVL, dated August 12, 2022, Van Lang University). Accordingly, research that does not involve vulnerable populations, does not collect identifiable personal data, and poses minimal risk may qualify for automatic exemption from formal ethical approval. As such, this study was exempted from obtaining formal ethical clearance. No ethics approval number was issued.

Informed consent

Prior to participation, all respondents were informed about the purpose and scope of the study. Informed consent was obtained via a consent statement included on the introductory page of the questionnaire. Participants were explicitly informed that their involvement was voluntary, that they could withdraw at any time without consequence, and that all responses would remain confidential and anonymized. No personally identifiable data was collected, and all information was used solely for academic and research purposes. Informed consent was obtained during the data collection period from late January 2023 to early June 2023.

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Appendix A

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Thanh, N.H., Cong, B.T. Harnessing Artificial Intelligence (AI) for enhanced organizational performance in public sectors. Humanit Soc Sci Commun (2026). https://doi.org/10.1057/s41599-026-06571-y

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  • Received: 27 August 2024

  • Accepted: 20 January 2026

  • Published: 04 February 2026

  • DOI: https://doi.org/10.1057/s41599-026-06571-y

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