Use of Artificial Intelligence to Improve Knowledge Management in Construction

Author:

Anumba C,Khallaf R

Abstract

Abstract Considerable progress has been made in the development and deployment of knowledge management (KM) systems in the construction industry. These have included a variety of technology and non-technology-based solutions that have had varying levels of impact on organizational knowledge management. Very few of the technology-based solutions adopted any artificial intelligence (AI) techniques. The current resurgence of AI and data analytics presents a tremendous opportunity to re-engineer knowledge management systems such that they are a much more powerful and critical component of an organization’s business infrastructure. This paper starts with a review of the evolution of knowledge management in construction sector organizations, and highlights the potential for AI-based KM. It also discusses the resurgence of AI and data analytics, and highlights the key technologies that could play a role in enhancing construction KM. Drawing on specific KM sub-processes, it describes the applicability of some AI techniques to organizational KM processes and systems. The benefits of the proposed AI-based KM are also presented.

Publisher

IOP Publishing

Subject

General Engineering

Reference32 articles.

1. Concurrent Engineering in Design-Build Projects;Anumba;Construction Management and Economics,1997

2. Exploiting knowledge management: the engineering and construction perspective;Carrillo;Journal of Management in Engineering,2006

3. Collaborative knowledge management—a construction case study;Bhargav;Automation in Construction,2009

4. The influence of knowledge management and intellectual capital on organizational innovations;Egbu,2001

5. Integrated knowledge management model and system for construction projects;Kanapeckiene;Engineering Applications of Artificial Intelligence,2010

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