Preliminary Study: Use of Large Generative Artificial Intelligence Models in Integrated Project Management-Reference-Cited by-同舟云学术

Preliminary Study: Use of Large Generative Artificial Intelligence Models in Integrated Project Management

Published:2024-03-18 Issue: Volume:37 Page:99-108
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Aramali Vartenie¹²³,Cho Namho¹²³,Nashar Sharbel¹²³

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering and Construction Management, California State Univ., Northridge.

2. Design Project Manager, Design and Construction, Facility Management, Univ. of Iowa. ORCID: .

3. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485262.011

Reference16 articles.

1. Alshater M. (2022). Exploring the Role of Artificial Intelligence in Enhancing Academic Performance: A Case Study of ChatGPT. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4312358.

2. Earned Value Management System State of Practice: Identifying Critical Subprocesses, Challenges, and Environment Factors of a High-Performing EVMS;Aramali V.;Journal of Management in Engineering,2021

3. Novel Earned Value Management System Maturity Framework and Its Relation to Project Performance;Aramali V.;Journal of Construction Engineering and Management,2023

4. Forward-Looking State-of-the-Art Review on Earned Value Management Systems: The Disconnect between Academia and Industry;Aramali V.;Journal of Management in Engineering,2022

5. Aramali V. Sanboskani H. Gibson G. E. Jr. and El Asmar M. (2022). Impact of EVMS Environment on Project Cost Performance of Large and Complex Real-life Projects. International Conference on Construction Engineering and Project Management.