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Agha, R H and Kamara, J M (2017) Adaptations in traditional courtyard houses in Baghdad, Iraq. International Journal of Building Pathology and Adaptation, 35(04), 348–63.
Al-Ghassani, A M, Kamara, J M, Anumba, C J and Carrillo, P M (2004) An innovative approach to identifying knowledge management problems. Engineering, Construction and Architectural Management, 11(05), 349–57.
Al-Ghassani, A M, Kamara, J M, Anumba, C J and Carrillo, P M (2006) Prototype System for Knowledge Problem Definition. Journal of Construction Engineering and Management, 132(05), 516–24.
Chen, Y and Kamara, J M (2005) The use of mobile computing in construction information management. In: Khosrowshahi, F (Ed.), Proceedings 21st Annual ARCOM Conference, 7-9 September 2005, London, UK. Association of Researchers in Construction Management, Vol. 1, 581–90.
Chen, Y and Kamara, J M (2008) Using mobile computing for construction site information management. Engineering, Construction and Architectural Management, 15(01), 7–20.
- Type: Journal Article
- Keywords: Construction industry;information management; mobile communication systems
- ISBN/ISSN: 0969-9988
- URL: http://www.emeraldinsight.com/10.1108/09699980810842034
- Abstract:
Purpose – The purpose of this paper is to develop a model for the use of mobile computing in the management of on-site construction information and communication. Design/methodology/approach – The research strategy contains three steps: a pilot study for the first stage, a survey that investigated the information needs of particular users and the nature of on-site information, and finally the development of a model and the validation and evaluation by operational scenarios. Findings – The developed model explores how mobile computing can be used on construction sites to manage on-site information. This model, firstly, identifies the key factors of mobile computer, wireless network, mobile application, construction personnel, construction information, and construction site; secondly it describes the relationships and interactions among these factors. Based on the model, the selection process for mobile computing strategy includes the clarification of information management process, the creations of overview for mobile computing solution, the identification of mobile computing strategy, and the selection of appropriate mobile computing technology. Originality/value – The developed model explores the general concepts and the internal relationships at the two areas of mobile computing and construction site information management. The application of the model can help users to select mobile computing strategies for managing on-site construction information based on the characteristics of their projects.
Hegazy, T and Kamarah, E (2008) Efficient Repetitive Scheduling for High-Rise Construction. Journal of Construction Engineering and Management, 134(04), 253–64.
Heidrich, O, Kamara, J, Maltese, S, Re Cecconi, F and Dejaco, M C (2017) A critical review of the developments in building adaptability. International Journal of Building Pathology and Adaptation, 35(04), 284–303.
Kamara, J M (2012) Integration in the project development process of a Private Finance Initiative (PFI) project. Architectural Engineering and Design Management, 8(04), 228-45.
Kamara, J M (2017) Maintaining focus on clients’ requirements using the DQI tool: Towards a requirements-oriented project process. Built Environment Project and Asset Management, 7(03), 271-83.
Kamara, J M, Anumba, C J and Evbuomwan, N F O (2000) Establishing and processing client requirements-a key aspect of concurrent engineering in construction. Engineering, Construction and Architectural Management, 7(01), 15–28.
Kamara, J M, Anumba, C J and Hobbs, B (1999) From briefing to client requirements processing. In: Hughes, W (Ed.), Proceedings 15th Annual ARCOM Conference, 15-17 September 1999, Liverpool, UK. Association of Researchers in Construction Management, Vol. 1, 317–26.
Kamara, J M, Augenbroe, G, Anumba, C J and Carrillo, P M (2002) Knowledge management in the architecture, engineering and construction industry. Construction Innovation, 2(01), 53–67.