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Intelligent Decision Techniques for Construction Engineering Management Research: A Science Mapping Analysis and Future Trends

In: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Chuan Yang

    (Shenzhen University)

  • Lirong Quan

    (Shenzhen University)

  • Longhui Liao

    (Shenzhen University)

Abstract

In the construction engineering management (CEM) domain, many intricate issues caused by the dynamic environment are time-critical, such as on-site risk perception and countermeasures selection, which greatly leads to difficulties in decision making. However, due to intelligent decision techniques (IDTs), such as artificial intelligence driven knowledge-based systems, the decision making process has been characterized by timeliness and intelligence. To investigate the status quo and emerging trends of the IDTs applied in the CEM research, this study reviews 157 relevant peer-reviewed journal articles published from 1990 to 2020, which were retrieved from the Web of Science database. The bibliometric and scientometric analysis, including trends identification in publications, keyword co-occurrence analysis, keyword burst detection, and keyword cluster analysis were conducted, followed by a further discussion with respect to the techniques adopted and their potential application areas in the CEM domain. The research hotspots, current challenges of applying IDTs in the CEM domain, and future research trends were discussed. The findings and recommendations of this study extend the potential use of the IDTs and offer insights to relevant researchers and practitioners in CEM domain.

Suggested Citation

  • Chuan Yang & Lirong Quan & Longhui Liao, 2022. "Intelligent Decision Techniques for Construction Engineering Management Research: A Science Mapping Analysis and Future Trends," Lecture Notes in Operations Research, in: Hongling Guo & Dongping Fang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, pages 721-736, Springer.
    • Handle: RePEc:spr:lnopch:978-981-19-5256-2_57
    DOI: 10.1007/978-981-19-5256-2_57
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