Using a knowledge management evaluation framework for improving an ERP system - a Hong Kong construction industry case study Chan, Eric W. L., Walker, Derek H. T. and Mills, Anthony 2006, Using a knowledge management evaluation framework for improving an ERP system - a Hong Kong construction industry case study, in KMAP 2006 : Proceedings of the 3rd Asia-Pacific International Conference on Knowledge Management, Inderscience Enterprises, Hong Kong, China. Attached Files Name Description MIMEType Size Downloads chan-usingaknowledge-2006.pdf Published version application/pdf 378.12KB 398 Title Using a knowledge management evaluation framework for improving an ERP system - a Hong Kong construction industry case study Author(s) Chan, Eric W. L. Walker, Derek H. T. Mills, Anthony orcid.org/0000-0002-2223-1550 Conference name Asia-Pacific International Conference on Knowledge Management (3rd : 2006 : Hong Kong, China) Conference location Hong Kong, China Conference dates 11-13 Dec. 2006 Title of proceedings KMAP 2006 : Proceedings of the 3rd Asia-Pacific International Conference on Knowledge Management Editor(s) Lee, Rongbin W.B. Edvinsson, Leif Publication date 2006 Conference series Asia-Pacific International Conference on Knowledge Management Publisher Inderscience Enterprises Place of publication Hong Kong, China Keyword(s) management Enterprise Resources Planning (ERP) system construction industry project management Summary Organisations need to rely on leadership, information support and human capital in order to ensure a knowledge advantage over their competitors. Knowledge management (KM) provides organisations with sustainable competitive advantage, because it becomes extremely difficult for an organisation to cut expenditure and increase revenue by simply reengineering its business model. Project delivery and success has been traditionally viewed and measured as management of a three-legged stool, with the legs defined as cost, schedule and quality. However, KM can be linked to success by organisations becoming more effective as well as being more efficient. This paper uses a KM framework, the Knowledge Advantage (K-Adv), developed initially for use by construction organisations. It assesses the impact of leadership and its supporting information communication technology infrastructure on the ability of people (by effectively creating, sharing, disseminating and using knowledge) to facilitate sustainable competitive advantage. A case study that is presented is based upon the experience of a leading construction company using an Enterprise Resources Planning (ERP) system to demonstrate the effectiveness of KM from a cost management business unit perspective. Results are evaluated using a capability maturity model (CMM) - that forms the core of the K-Adv tool - to help improve processes that meet the needs of the organisation operating in a highly dynamic business environment. The case study is part of a broader doctoral research project that uses action learning to facilitate and measure ERP improvement. Language eng Field of Research 120201 Building Construction Management and Project Planning Socio Economic Objective 970112 Expanding Knowledge in Built Environment and Design HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2006, Inderscience Enterprises Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30031925 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Architecture and Built Environment Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 13 Dec 2010, 09:45:09 EST Tue, 14 Dec 2010, 08:35:33 EST Mon, 20 Dec 2010, 08:42:46 EST Mon, 20 Dec 2010, 08:43:27 EST Fri, 07 Jan 2011, 13:27:01 EST Thu, 20 Jan 2011, 12:51:31 EST Mon, 24 Jan 2011, 09:32:17 EST Thu, 24 Nov 2011, 15:02:28 EST Thu, 24 Nov 2011, 15:06:16 EST Fri, 16 Mar 2012, 18:25:46 EST Mon, 18 Jun 2012, 10:58:33 EST Mon, 18 Jun 2012, 11:00:40 EST Tue, 06 Sep 2016, 16:13:27 EST Tue, 05 Dec 2017, 10:45:26 EST Fri, 07 Sep 2018, 15:12:23 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 1117 Abstract Views, 398 File Downloads  -  Detailed Statistics Created: Mon, 13 Dec 2010, 09:45:09 EST