Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method

Hande Aladağ; İlkim Güven; Osman Balli

Makale detayları

Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method

Yazarlar:

Hande Aladağ | İlkim Güven | Osman Balli

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Clinical Sciences (Other)

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.42 Issue 5, pp.1654-1669

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329130

pISSN:

1304-7191

Anahtar kelimeler:

Özet:

 The Artificial Intelligence AI is being considered as a new way to tackle the challenges frequently faced by the Architecture, Engineering and Construction AEC industry in terms of its ability to leverage advanced technologies, data analysis techniques, and automation to address specific challenges and improve efficiency, productivity, safety, decision-making, and overall project outcomes. Thus, it is imperative to know the future of AI in construction project management processes. With this background, this study aims to detect application areas of AI in construction project management processes by using scoping review method and create a base for the development of theories that can support future studies. According to the findings of studies, application areas of AI in project management domain are generally clustered under eight main topics: cost, time, quality, contract, dispute, risk, safety, and sustainability. In line with the findings, this study contributes in two-folds. As the theoretical contribution researchers can benefit from this study, which addresses the research trends and current applications of this ground-breaking technology in project management processes, by mapping the current interest in AI studies. The future studies can be directed in line with identified gaps and justifications. As the practical contributions, construction companies that want to be the early movers can benefit from the findings of this study as they reveal crucial areas where they can focus their investment on areas where AI can make the most significant difference to address their companys specific requirements.

 The Artificial Intelligence AI is being considered as a new way to tackle the challenges frequently faced by the Architecture, Engineering and Construction AEC industry in terms of its ability to leverage advanced technologies, data analysis techniques, and automation to address specific challenges and improve efficiency, productivity, safety, decision-making, and overall project outcomes. Thus, it is imperative to know the future of AI in construction project management processes. With this background, this study aims to detect application areas of AI in construction project management processes by using scoping review method and create a base for the development of theories that can support future studies. According to the findings of studies, application areas of AI in project management domain are generally clustered under eight main topics: cost, time, quality, contract, dispute, risk, safety, and sustainability. In line with the findings, this study contributes in two-folds. As the theoretical contribution researchers can benefit from this study, which addresses the research trends and current applications of this ground-breaking technology in project management processes, by mapping the current interest in AI studies. The future studies can be directed in line with identified gaps and justifications. As the practical contributions, construction companies that want to be the early movers can benefit from the findings of this study as they reveal crucial areas where they can focus their investment on areas where AI can make the most significant difference to address their companys specific requirements.

 The Artificial Intelligence AI is being considered as a new way to tackle the challenges frequently faced by the Architecture, Engineering and Construction AEC industry in terms of its ability to leverage advanced technologies, data analysis techniques, and automation to address specific challenges and improve efficiency, productivity, safety, decision-making, and overall project outcomes. Thus, it is imperative to know the future of AI in construction project management processes. With this background, this study aims to detect application areas of AI in construction project management processes by using scoping review method and create a base for the development of theories that can support future studies. According to the findings of studies, application areas of AI in project management domain are generally clustered under eight main topics: cost, time, quality, contract, dispute, risk, safety, and sustainability. In line with the findings, this study contributes in two-folds. As the theoretical contribution researchers can benefit from this study, which addresses the research trends and current applications of this ground-breaking technology in project management processes, by mapping the current interest in AI studies. The future studies can be directed in line with identified gaps and justifications. As the practical contributions, construction companies that want to be the early movers can benefit from the findings of this study as they reveal crucial areas where they can focus their investment on areas where AI can make the most significant difference to address their companys specific requirements.

 The Artificial Intelligence AI is being considered as a new way to tackle the challenges frequently faced by the Architecture, Engineering and Construction AEC industry in terms of its ability to leverage advanced technologies, data analysis techniques, and automation to address specific challenges and improve efficiency, productivity, safety, decision-making, and overall project outcomes. Thus, it is imperative to know the future of AI in construction project management processes. With this background, this study aims to detect application areas of AI in construction project management processes by using scoping review method and create a base for the development of theories that can support future studies. According to the findings of studies, application areas of AI in project management domain are generally clustered under eight main topics: cost, time, quality, contract, dispute, risk, safety, and sustainability. In line with the findings, this study contributes in two-folds. As the theoretical contribution researchers can benefit from this study, which addresses the research trends and current applications of this ground-breaking technology in project management processes, by mapping the current interest in AI studies. The future studies can be directed in line with identified gaps and justifications. As the practical contributions, construction companies that want to be the early movers can benefit from the findings of this study as they reveal crucial areas where they can focus their investment on areas where AI can make the most significant difference to address their companys specific requirements.

Makale detayları

Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method

Yazarlar:

Hande Aladağ | İlkim Güven | Osman Balli

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Clinical Sciences (Other)

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.42 Issue 5, pp.1654-1669

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329130

pISSN:

1304-7191

Artificial Intelligence (AI)

Construction Industry

Construction Management

Project Management

Scoping Review

Sayı

Makale detayları

Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method

Yazarlar: Hande Aladağ | İlkim Güven | Osman Balli

Yayıncı: Yildiz Technical University

Ana Başlıklar: Clinical Sciences (Other)

Dergi: Sigma Journal of Engineering and Natural Sciences Vol.42 Issue 5, pp.1654-1669

Belge Tipi: Makale

Yayın Tarihi: 4/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001329130

pISSN: 1304-7191

Artificial Intelligence (AI)

Construction Industry

Construction Management

Project Management

Scoping Review

Sayı

Yazarlar:

Hande Aladağ | İlkim Güven | Osman Balli

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Clinical Sciences (Other)

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.42 Issue 5, pp.1654-1669

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329130

pISSN:

1304-7191