The Impact of Artificial Intelligence on Organizational Justice and Project Performance: A Systematic Literature and Science Mapping Review

被引:7
|
作者
Zhang, Xinran [1 ]
Antwi-Afari, Maxwell Fordjour [2 ]
Zhang, Yongcheng [3 ]
Xing, Xuejiao [4 ]
机构
[1] Univ Manchester, Fac Sci & Engn, Dept Mech Aerosp & Civil Engn, Manchester M13 9PL, England
[2] Aston Univ, Coll Engn & Phys Sci, Dept Civil Engn, Birmingham B4 7ET, England
[3] Huaiyin Inst Technol, Dept Construct Management, Huaian 223003, Peoples R China
[4] Zhongnan Univ Econ & Law, Sch Finance, Dept Investment, Wuhan 430074, Peoples R China
关键词
artificial intelligence; organizational justice; project performance; people and organizations; literature review; science mapping; EMOTIONAL INTELLIGENCE; CONSTRUCTION PROJECTS; INNOVATION; INTEGRATION; COMMITMENT; ADOPTION; TOOLS; MODEL;
D O I
10.3390/buildings14010259
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
By adopting a systematic literature and science mapping review, this paper aims to explore the impact of artificial intelligence (AI) on organizational justice and project performance. A total of 47 bibliographic records from the Scopus database were analyzed. The results revealed the annual publication trends of research articles and relevant peer-reviewed journals in the studied domain. It was found that while AI technology has made significant progress in several fields, its application areas in project management and organizational justice are still relatively low. Moreover, it objectively discussed the co-occurrence analysis of keywords, co-authors, countries/regions, and documents in the fields, revealing the current research topics. The main research topics include the (1) AI's influence on organizational justice, decision analysis, and digital transformation, (2) fostering organizational justice and AI's role in enhancing project performance, and (3) improving organizational performance approaches. Furthermore, this paper proposed research gaps and future research directions, including (1) advancing business intelligence strategies, (2) unlocking AI technology potential on organizational justice and project performance, (3) the adaption of cultural, diversity, environmental, and social factors, (4) the impact of AI on complex and challenging leadership styles, and (5) developing a comprehensive understanding of the agile framework. The findings of this paper could contribute to a better understanding of how AI shapes project/construction management and organizational justice, providing practical solutions for innovative development for researchers and policymakers.
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页数:28
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