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Aboagye-Nimo, E, Wood, H and Collison, J (2019) Complexity of women’s modern-day challenges in construction. Engineering, Construction and Architectural Management, 26(11), 2550–65.

Ahmed, V, Aziz, Z, Tezel, A and Riaz, Z (2018) Challenges and drivers for data mining in the AEC sector. Engineering, Construction and Architectural Management, 25(11), 1436–53.

  • Type: Journal Article
  • Keywords: Technology; Decision support systems; Information and communication technology (ICT) applications;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-01-2018-0035
  • Abstract:
    The purpose of this paper is to explore the current challenges and drivers for data mining in the AEC sector. Design/methodology/approach Following a comprehensive literature review, the data mining concept was investigated through a workshop with industry experts and academics. Findings The results showed that the key drivers for using data mining within the AEC sector is associated with the sustainability, process improvement, market intelligence, cost certainty and cost reduction, performance certainty and decision support systems agendas in the sector. As for the processes with the greatest potential for data mining application, design, construction, procurement, forensic analysis, sustainability and energy consumption and reuse of digital components were perceived as the main process areas. While the key challenges were perceived as being, data issues due to the fragmented nature of the construction process, the need for a cultural change, IT systems used in silos, skills requirements and having clearly defined business goals. Originality/value With the increasing abundance of data, business intelligence and analytics and its related concepts, data mining and Big Data have captured the attention of practitioners and academics for the last 20 years. On the other hand, and despite the growing amount of data in its business context, the AEC sector still lags behind in utilising those concepts in its end products and daily operations with limited research conducted to explore those issues at the sector level. This paper investigates the main opportunities and barriers for data mining in the AEC sector with a practical focus.

Baniassadi, F, Alvanchi, A and Mostafavi, A (2018) A simulation-based framework for concurrent safety and productivity improvement in construction projects. Engineering, Construction and Architectural Management, 25(11), 1501–15.

Hampton, P, Chinyio, E A and Riva, S (2019) Framing stress and associated behaviours at work. Engineering, Construction and Architectural Management, 26(11), 2566–80.

Jin, Z, Gambatese, J, Liu, D and Dharmapalan, V (2019) Using 4D BIM to assess construction risks during the design phase. Engineering, Construction and Architectural Management, 26(11), 2637–54.

Lindgren, J, Emmitt, S and Widén, K (2018) Construction projects as mechanisms for knowledge integration. Engineering, Construction and Architectural Management, 25(11), 1516–33.

M.D., D and Mahesh, G (2019) Developing a knowledge-based safety culture instrument for construction industry. Engineering, Construction and Architectural Management, 26(11), 2597–613.

Manu, P, Poghosyan, A, Mahamadu, A, Mahdjoubi, L, Gibb, A, Behm, M and Akinade, O O (2019) Design for occupational safety and health: key attributes for organisational capability. Engineering, Construction and Architectural Management, 26(11), 2614–36.

Mok, K Y, Shen, G Q and Yang, R (2018) Stakeholder complexity in large scale green building projects. Engineering, Construction and Architectural Management, 25(11), 1454–74.

Mzyece, D, Ndekugri, I E and Ankrah, N A (2019) Building information modelling (BIM) and the CDM regulations interoperability framework. Engineering, Construction and Architectural Management, 26(11), 2682–704.

Nnaji, C, Gambatese, J, Karakhan, A and Eseonu, C (2019) Influential safety technology adoption predictors in construction. Engineering, Construction and Architectural Management, 26(11), 2655–81.

Oswald, D, Sherratt, F and Smith, S (2019) Managing production pressures through dangerous informality: a case study. Engineering, Construction and Architectural Management, 26(11), 2581–96.

Rahman, A, Bridge, A J, Rowlinson, S, Hubbard, B and Xia, B (2018) Multinational contracting and the eclectic paradigm of internationalization. Engineering, Construction and Architectural Management, 25(11), 1418–35.

Regis, M F, Alberte, E P V, Lima, D d S and Freitas, R L S (2019) Women in construction: shortcomings, difficulties, and good practices. Engineering, Construction and Architectural Management, 26(11), 2535–49.

Rodrigues Santos de Melo, R and Bastos Costa, D (2019) Integrating resilience engineering and UAS technology into construction safety planning and control. Engineering, Construction and Architectural Management, 26(11), 2705–22.

Sherratt, F and Ivory, C (2019) Managing “a little bit unsafe”: complexity, construction safety and situational self-organising. Engineering, Construction and Architectural Management, 26(11), 2519–34.

Wang, T, Ford, D N, Chong, H and Zhang, W (2018) Causes of delays in the construction phase of Chinese building projects. Engineering, Construction and Architectural Management, 25(11), 1534–51.

Yu, A T W, Javed, A A, Lam, T I, Shen, G Q and Sun, M (2018) Integrating value management into sustainable construction projects in Hong Kong. Engineering, Construction and Architectural Management, 25(11), 1475–500.