Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/16300

Title: Modelling the implementation of technological innovations in construction
Authors: Motawa, Ibrahim A.
Price, Andrew D.F.
Sher, William D.
Keywords: Construction innovation
Dependency structure matrix
Fuzzy logic
Monte Carlo simulation
Issue Date: 2004
Publisher: © Inderscience Enterprises Ltd.
Citation: MOTAWA, I.A., PRICE, A.D.F. and SHER, W.D., 2004. Modelling the implementation of technological innovations in construction. International Journal of Computer Applications in Technology, 20 (1-3), pp.78-89.
Abstract: Effective implementation of technological innovation in construction requires an understanding of the complexity underpinning the process. Most innovative projects do not fulfil their time and cost objectives and it is essential for construction organisations to plan and control the implementation of any innovative concept. Decision support techniques and tools developed to assess new technologies mainly focus on evaluating alternative technologies, with very little attention being paid to the implementation phase. Effective innovation management should aim to ensure the smooth running of innovative projects within controlled budgets and time scales. Models that simulate the implementation of innovations need to consider the effect of experimentation, iteration and refinement of activities that are reliant on volatile information. This paper introduces a conceptual model that deals with the effectiveness of 'Implementing inNOVations In Construction Engineering Technologies' (INOVICET). It includes the model's hypothesis, techniques and application in a case study. The model identifies iterations within the innovation process and schedules activities taking into account stochastic analyses of the information affect on the implementation. The model incorporates a fuzzy logic approach to evaluate the performance indicators used to assess this implementation.
Description: This article is closed access.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/16300
Publisher Link: http://inderscience.metapress.com/content/x4yqhqdq7m61b8nd/
ISSN: 0952-8091
Appears in Collections:Closed Access (Architecture, Building and Civil Engineering)

Files associated with this item:

File Description SizeFormat
J63 Motawa, I.A., Price, A.D.F. and Sher, W., Modelling the implementation of technological innovators in construction, International Journal of Computer Applicat.pdfPublished version385.14 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.