Knowledge Management and BIM Practices: Towards a Conceptual BIM-Knowledge Framework

The construction industry is a knowledge-intensive and knowledge-generating industry. However, challenges exist in terms of capturing and sharing knowledge of best practices and lessons learned within projects, and from one project to another. This is mainly due to the multi-disciplinary, multiorganizational and temporary nature of construction projects, which causes valuable knowledge to remain with individuals and/or get lost with time. Therefore, it is critically important to effectively capture and share the experience-based knowledge that is generated in construction projects in order to enable improvements in decision-making based on continuous learning. Building information modelling (BIM) has emerged as a solution that could possibly help in this endeavour through effective collaboration and learning processes. However, currently, BIM practices mainly focus on digitalising traditional information exchanges among project stakeholders. Hence, there is little consideration of how experiencebased knowledge can be effectively captured in BIM-enabled projects and used for continuous improvement. This paper presents insights into this issue by drawing on the literatures on knowledge management (KM) and BIM implementation. It proposes a conceptual BIMKnowledge framework, the main contribution of the paper, which consists of a KM approach and five critical factors: individual psychosocial factors, organisational factors, economic factors, technological factors and client factors

Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities

The idea of developing a system that can converse and understand human languages has been around since the 1200 s. With the advancement in artificial intelligence (AI), Conversational AI came of age in 2010 with the launch of Apple’s Siri. Conversational AI systems leveraged Natural Language Processing (NLP) to understand and converse with humans via speech and text. These systems have been deployed in sectors such as aviation, tourism, and healthcare. However, the application of Conversational AI in the architecture engineering and construction (AEC) industry is lagging, and little is known about the state of research on Conversational AI. Thus, this study presents a systematic review of Conversational AI in the AEC industry to provide insights into the current development and conducted a Focus Group Discussion to highlight challenges and validate areas of opportunities. The findings reveal that Conversational AI applications hold immense benefits for the AEC industry, but it is currently underexplored. The major challenges for the under exploration were highlighted and discusses for intervention. Lastly, opportunities and future research directions of Conversational AI are projected and validated which would improve the productivity and efficiency of the industry. This study presents the status quo of a fast-emerging research area and serves as the first attempt in the AEC field. Its findings would provide insights into the new field which be of benefit to researchers and stakeholders in the AEC industry

Isolation and Characterization of Ralstonia solanacearum Causing Bacterial Wilt of Tomato in Nigeria

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