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Construction 34 Hong Kong 33 construction 32 project management 25 China 24 risk management 19 Bidding 17 procurement 17 construction industry 16 Procurement 15 Productivity 14 Safety 14 innovation 14 South Africa 13 Innovation 12 Tendering 12 case study 12 culture 12 simulation 12 Australia 11 partnering 11 project performance 11 tendering 11 Construction Industry 10 Construction industry 10 Project management 10 cost 10 maintenance 10 risk analysis 10 safety 10 Culture 9 Partnering 9 Project Management 9 risk 9 Conflict 8 Risk Management 8 construction sector 8 management 8 motivation 8 optimization 8
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Skitmore, Martin 43 Arditi, David 22 Lingard, Helen 20 Ofori, George 20 Loosemore, Martin 19 Dainty, Andrew 18 Pheng, Low Sui 17 Tam, C. M. 17 Li, Heng 16 Rowlinson, Steve 16 Ng, S. Thomas 15 Chan, Albert 12 Styhre, Alexander 12 Chang, Chen-Yu 11 Fellows, Richard 11 Gibb, Alistair 11 Liu, Anita 11 Kumaraswamy, Mohan 10 Lingard, Helen Clare 10 Pietroforte, Roberto 10 Blismas, Nick 9 Bowen, Paul 9 Drew, Derek 9 Jha, Kumar Neeraj 9 Leung, Mei-Yung 9 Raftery, John 9 Runeson, Goran 9 Sexton, Martin 9 Voordijk, Hans 9 Winch, Graham 9 Goodrum, Paul 8 Hallowell, Matthew 8 Ling, Florence Yean Yng 8 Phua, Florence 8 Cheung, S. O. 7 Clarke, Linda 7 Doloi, Hemanta 7 Gregori, Tullio 7 Holt, Gary 7 Liu, Chunlu 7
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Construction Management and Economics 1,588
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RePEc 1,588
Showing 1,071 - 1,080 of 1,588
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Managing knowledge: lessons from the oil and gas sector
Carrillo, Patricia - In: Construction Management and Economics 22 (2004) 6, pp. 631-642
Knowledge management (KM) is of increasing interest to a number of leading UK construction organizations. Companies are keen to find out what other organizations are doing both within the construction and other industry sectors. There are important lessons to be learned from Canadian oil and gas...
Persistent link: https://www.econbiz.de/10005269129
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An integrated regression analysis and time series model for construction tender price index forecasting
Ng, S. Thomas; Cheung, Sai On; Skitmore, Martin; Wong, Toby - In: Construction Management and Economics 22 (2004) 5, pp. 483-493
Clients need to be informed in advance of their likely future financial commitments and cost implications as the design evolves. This requires the estimation of building cost based on historic cost data that is updated by a forecasted Tender Price Index (TPI), with the reliability of the...
Persistent link: https://www.econbiz.de/10005269146
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The locus of control: a determinant of opportunistic behaviour in construction health and safety
Loosemore, M.; Lam, A. S. Y. - In: Construction Management and Economics 22 (2004) 4, pp. 385-394
Current research and practice in the field of risk management focus almost exclusively on the downside of risk, meaning that many opportunities for improved performance go unmissed. There is substantial evidence that opportunities demand a different management approach to problems and, that...
Persistent link: https://www.econbiz.de/10005269153
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Simulation of maintenance costs in UK local authority sport centres
BOUSSABAINE, A.H.; KIRKHAM, R.J. - In: Construction Management and Economics 22 (2004) 10, pp. 1011-1020
The costs of building maintenance, particularly in high-demand public sector facilities, can account for a significant proportion of the whole life cycle costs. The ability to accurately predict these maintenance costs can provide an essential management tool during the operational stages. A...
Persistent link: https://www.econbiz.de/10005482403
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The use of construction specifications in Singapore
Lam, Patrick T.I.; Kumaraswamy, Mohan M.; Ng, S. Thomas - In: Construction Management and Economics 22 (2004) 10, pp. 1067-1079
Singapore announced its Construction 21 Blueprint in 1999, which included quality improvement as one of the many initiatives aimed at making the construction industry more competitive and efficient. This has culminated in the development of the National Productivity and Quality Specification...
Persistent link: https://www.econbiz.de/10005482556
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A competency-based performance model for construction project managers
Dainty, Andrew R.J.; Cheng, Mei-I; Moore, David R. - In: Construction Management and Economics 22 (2004) 8, pp. 877-886
The role of competency-based performance management is growing in significance in many industries and sectors. Unlike functional competences, which measure performance against predetermined minimum occupational standards, competency-based systems are founded on the key behavioural competencies...
Persistent link: https://www.econbiz.de/10005482611
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Achieving the unlikely: innovating in the loosely coupled construction system
Dorée, André G.; Holmen, Elsebeth - In: Construction Management and Economics 22 (2004) 8, pp. 827-838
Previous research suggests that a characteristic of the construction industry is a lack of technological innovation. Since this is seen as a problem, much theoretical development within construction management focuses on explaining the lack of innovation. Less effort has been expended on using...
Persistent link: https://www.econbiz.de/10005438555
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Minimizing demolition wastes in Hong Kong public housing projects
Poon, Chi Sun; Yu, Ann Tit Wan; See, Siu Ching; Cheung, … - In: Construction Management and Economics 22 (2004) 8, pp. 799-805
Being one of the major housing developers in Hong Kong, the Hong Kong Housing Authority (HA) carries out a large number of construction and demolition projects. As a result, a large amount of construction and demolition waste is produced. As for demolition projects, demolition wastes usually...
Persistent link: https://www.econbiz.de/10005438621
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Contractor selection using the analytic network process
Cheng, Eddie W. L.; Li, Heng - In: Construction Management and Economics 22 (2004) 10, pp. 1021-1032
Contractor selection is one of the main activities of clients. Without a proper and accurate method for selecting the most appropriate contractor, the performance of the project will be affected. The multi-criteria decision-making (MCDM) is suggested to be a viable method for contractor...
Persistent link: https://www.econbiz.de/10005445622
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Modelling hook times of mobile cranes using artificial neural networks
Tam, C.M.; Tong, Thomas K.L.; Tse, Sharon L. - In: Construction Management and Economics 22 (2004) 8, pp. 839-849
The hook times of mobile cranes are processes that are of non-linear and discrete nature. Artificial neural network is a data processing technique that lends itself to this kind of problem. Three common artificial neural network architectures - multi-layer feed-forward (MLFF), group method of...
Persistent link: https://www.econbiz.de/10005445627
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