A systematic literature review of human-autonomy teams in project management

Yongxi Tian, Maxwell Fordjour Antwi-Afari*, Joon Oh Seo, Hao Yang Mi, Sina Fadaie

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Citations (SciVal)
23 Downloads (Pure)

Abstract

Purpose: The advent of digital technology has increased both the autonomy and complexity of intelligent machines. As data functionality becomes more advanced, the demand for machines to engage in teamwork alongside humans is rising, leading to a transformation of intelligent machines from tools to teammates. As such, human-autonomy team (HAT) is a new concept in digital transformation, and HAT-related research has driven the application and development of artificial intelligence in industry and production. This study explores the prospects of HAT in project management through a systematic literature review of published articles, highlighting current research themes and proposing directions for future research. Design/methodology/approach: While the systematic literature review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, VOSviewer was employed to assist in keywords co-occurrence analysis to visualize the connections and networks of included articles. A total of 38 publications were retrieved from both Scopus and Web of Science databases to examine the annual publication trends, geographical distribution, research methods and keywords co-occurrence analysis. Findings: The results revealed four mainstream research themes: (1) simulation of human–robotic system integration in project management, (2) algorithm design for human-centered artificial intelligence (AI), (3) the impact of digital transformation on teams towards agile project execution and (4) generative AI model for risk analysis in project management. Originality/value: From both theoretical and practical implications, this study would deepen the role and effectiveness of HAT in project management strategies. The proposed framework suggested potential future directions such as (1) expanded testing scenarios, (2) human factors in evaluation criteria, (3) agile transition issues in HATs and (4) standards for AI model applications in project management. Ultimately, this study would foster a dialogue among researchers and practitioners by encouraging a synergistic approach to the implementation of HAT solutions in project settings.

Original languageEnglish
Number of pages20
JournalInternational Journal of Building Pathology and Adaptation
Early online date7 May 2025
DOIs
Publication statusE-pub ahead of print - 7 May 2025

Bibliographical note

Copyright © 2025 Emerald Publishing Limited. This AAM is deposited under the CC BY-NC 4.0 licence. Any reuse is allowed in accordance with the terms outlined by the licence. To reuse the AAM for commercial purposes, permission should be sought by contacting [email protected].

Keywords

  • Artificial intelligence
  • Human-autonomy team (HAT)
  • Project management
  • Systematic literature review

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