Artificial intelligence and project management: An empirical investigation on the appropriation of generative Chatbots by project managers

被引:4
作者
Felicetti, Alberto Michele [1 ]
Cimino, Antonio [2 ]
Mazzoleni, Alberto [3 ]
Ammirato, Salvatore [1 ]
机构
[1] Univ Calabria, I-87036 Arcavacata Di Rende, CS, Italy
[2] Univ Salento, Lecce, LE, Italy
[3] Univ Brescia, Brescia, BS, Italy
来源
JOURNAL OF INNOVATION & KNOWLEDGE | 2024年 / 9卷 / 03期
关键词
Project managers; Generative artificial intelligence; Chatgpt; Appropriation Theory; Structural Equation Modeling; GROUP SUPPORT-SYSTEMS; TASK-TECHNOLOGY FIT; INFORMATION-TECHNOLOGY; ADAPTIVE STRUCTURATION; RIGDONS RETHINKING; ACCEPTANCE; PLS; CREATIVITY; COMPLEXITY; INNOVATION;
D O I
10.1016/j.jik.2024.100545
中图分类号
F [经济];
学科分类号
02 ;
摘要
The integration of generative AI tools, such as chatbots, into project management is revolutionizing the field. This paper explores how project managers are adopting and adapting these tools, specifically focusing on ChatGPT, for enhanced project management. Using Adaptive Structuration Theory, the study examines project managers' appropriation of generative AI. It considers factors like Innovation Attitude, Peer Influence, and Task-Technology Fit, employing a survey of Italian project managers. The approach adopted to analyze data is based on Partial Least Square- Structural Equation Modeling. The research confirms the significance of the hypothesized antecedents in AI tool appropriation. Innovation Attitude and Peer Influence are shown to positively impact the creative and 'unfaithful' use of AI in project management. Task-Technology Fit is crucial for effective AI integration, impacting both creative behaviour and unfaithful appropriation. The study highlights the role of an innovative mindset, peer dynamics, and task compatibility in the effective use of AI tools in project management. It suggests potential areas for future research, including exploring cultural and organizational contexts and the rapid evolution of AI technologies. (c) 2024 The Authors. Published by Elsevier Espa & ntilde;a, S.L.U. on behalf of Journal of Innovation & Knowledge. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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页数:10
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