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Anjomshoa, E (2024) Key performance indicators of construction companies in branding products and construction projects for success in a competitive environment in Iran. Engineering, Construction and Architectural Management, 31(05), 2151-75.
Arora, M, Prakash, A, Mittal, A and Singh, S (2024) Examining the slow acceptance of HR analytics in the Indian engineering and construction industry: a SEM-ANN-based approach. Engineering, Construction and Architectural Management, 31(05), 1973-93.
Aslam, M, Baffoe-Twum, E and Malik, S (2024) Benchmarking lean construction conformance in Pakistan’s construction industry. Engineering, Construction and Architectural Management, 31(05), 2077-100.
Chan, I Y S and Chen, H (2024) Towards an integrative analysis of underground environment and human health: a survey and field measurement approach. Engineering, Construction and Architectural Management, 31(05), 1807-34.
Cole-Colander, C (2003) Designing the Customer Experience. Building Research & Information, 31(05), 357–66.
Cong, W, Zhang, S, Liang, H and Xiang, Q (2024) Impact of challenge and hindrance job stressors on informal safety communication of construction workers in China: the moderating role of co-worker relationship. Engineering, Construction and Architectural Management, 31(05), 2011-33.
Cooper, R, Bruce, M, Wootton, A, Hands, D and Daly, L (2003) Managing design in the extended enterprise. Building Research & Information, 31(05), 367–78.
Espinoza, D and Morris, J W F (2013) Decoupled NPV: a simple, improved method to value infrastructure investments. Construction Management and Economics, 31(05), 471-96.
Fazeli, A, Banihashemi, S, Hajirasouli, A and Mohandes, S R (2024) Automated 4D BIM development: the resource specification and optimization approach. Engineering, Construction and Architectural Management, 31(05), 1896-922.
Fellows, R and Liu, A M M (2013) Use and misuse of the concept of culture. Construction Management and Economics, 31(05), 401-22.
Gann, D M, Salter, A J and Whyte, J K (2003) Design Quality Indicator as a tool for thinking. Building Research & Information, 31(05), 318–33.
Ghansah, F A, Lu, W and Ababio, B K (2024) Modelling the critical challenges of quality assurance of cross-border construction logistics and supply chain during the COVID-19 pandemic. Engineering, Construction and Architectural Management, 31(05), 2128-50.
Gibson, E G and Gebken, R J (2003) Design quality in pre-project planning: applications of the Project Definition Rating Index. Building Research & Information, 31(05), 346–56.
Goh, Y M and Chua, D (2013) Neural network analysis of construction safety management systems: a case study in Singapore. Construction Management and Economics, 31(05), 460-70.
Guo, Y, Liu, J, Chen, C, Luo, X and Martek, I (2024) PPP project price mode typologies: a China-based comparative case study. Engineering, Construction and Architectural Management, 31(05), 2034-52.
Han, Y, Shen, J, Zhu, X, An, B and Bao, X (2024) Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework. Engineering, Construction and Architectural Management, 31(05), 2101-27.
Hansen, K L and Vanegas, J A (2003) Improving design quality through briefing automation. Building Research & Information, 31(05), 379–86.
Hu, Y, Song, J and Zhao, T (2024) Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects. Engineering, Construction and Architectural Management, 31(05), 1835-56.
Huang, W, Zhong, D and Chen, Y (2024) The relationship between construction workers’ emotional intelligence and safety performance. Engineering, Construction and Architectural Management, 31(05), 2176-201.
Li, H, Chen, Y, Zheng, J, Fang, Y, Yang, Y, Skitmore, M, Rusch, R and Jiang, T (2024) The influence of the psychological contract on the safety of performance of construction workers in China. Engineering, Construction and Architectural Management, 31(05), 1879-95.
Liao, L, Ye, Y, Wei, N, Li, H and Fan, C (2024) Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China. Engineering, Construction and Architectural Management, 31(05), 2053-76.
Odeyinka, H A, Lowe, J and Kaka, A P (2013) Artificial neural network cost flow risk assessment model. Construction Management and Economics, 31(05), 423-39.
Onubi, H O, Carpio, M and Hassan, A S (2024) Job satisfaction in green construction projects: antecedent roles of green work climate, pro-environmental construction practice and green human capital. Engineering, Construction and Architectural Management, 31(05), 1857-78.
Orr, S and Jadhav, A (2024) The effect of construction sustainability system interactions on financial performance: a sociotechnical perspective. Engineering, Construction and Architectural Management, 31(05), 1923-46.
Pinder, J, Iii, R S and Saker, J (2013) Stakeholder perspectives on developing more adaptable buildings. Construction Management and Economics, 31(05), 440-59.
Thomson, D S, Austin, S A, Devine-Wright, H and Mills, G R (2003) Managing value and quality in design. Building Research & Information, 31(05), 334–45.
Tiew, S Y (2024) Factors affecting performance of graduate architects in contract implementation management: a case study on housing projects in Malaysia. Engineering, Construction and Architectural Management, 31(05), 1789-806.
Wang, D, Luo, J and Wang, Y (2024) Multifactor uncertainty analysis of prefabricated building supply chain: qualitative comparative analysis. Engineering, Construction and Architectural Management, 31(05), 1994-2010.
Whyte, J K and Gann, D M (2003) Design Quality Indicators: work in progress. Building Research & Information, 31(05), 387–98.
- Type: Journal Article
- Keywords: design; design quality; design research; indicators; performance measurement; UK; conception
- ISBN/ISSN: 0961-3218
- URL: http://taylorandfrancis.metapress.com/link.asp?id=we83af27mw3w2br1
- Abstract:
The Design Quality Indicator (DQI) is an assessment tool for evaluating the design quality of buildings. It is being piloted across the UK construction sector through the DQI Trailblazing Scheme. By February 2003, actual uses represented about £900 million of construction output on projects ranging from £900v000 to £450 million. The aim is for 20% of all UK construction projects (having a value in excess of £1 million) to use the DQI by the end of 2007. This work-in-progress paper describes recent and ongoing development work, providing an update on the research described in Gann et al. (2003). The focus is on beta-testing the DQI through the Trailblazing Scheme and the development of the interactive web-based interface. Feedback from users involved in the Trailblazing Scheme is reported along with key issues raised at the review conference. Reflections on the uses of the tool and suggestions for further research are provided.
Wu, X, Qian, Q and Zhang, M (2024) Impact of supervisor leadership on construction worker safety behavior in China: the moderating role of social capital. Engineering, Construction and Architectural Management, 31(05), 1947-72.