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Harvesting and Managing Knowledge in Construction: From Theoretical Foundations to Business Applications [Hardback]

(Cardiff University, UK), (Cardiff University, UK)
  • Formāts: Hardback, 232 pages, height x width: 234x156 mm, weight: 590 g, 15 Tables, black and white; 33 Line drawings, black and white; 5 Halftones, black and white
  • Izdošanas datums: 23-Feb-2011
  • Izdevniecība: Routledge
  • ISBN-10: 0415545951
  • ISBN-13: 9780415545952
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  • Hardback
  • Cena: 236,78 €
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  • Formāts: Hardback, 232 pages, height x width: 234x156 mm, weight: 590 g, 15 Tables, black and white; 33 Line drawings, black and white; 5 Halftones, black and white
  • Izdošanas datums: 23-Feb-2011
  • Izdevniecība: Routledge
  • ISBN-10: 0415545951
  • ISBN-13: 9780415545952
Citas grāmatas par šo tēmu:
A successful construction business is a knowledge business. And knowledge must be managed effectively to be used efficiently, especially in a complex project-oriented business such as construction, where skills acquired and lessons learned on one project need to be applied to the next.

A holistic approach to knowledge management (KM) is taken in this book to incorporate all of the relevant themes, tackling technological, socio-cultural and organizational issues, with the creation of value as a focus throughout. Information is drawn from a broad range of sources to explain core theories and provide guidance on practical application. Topics covered include:





changing business relationships in a knowledge economy knowledge creation processes and theories data, text and knowledge mining techniques the learning construction organization future technology for knowledge management.

Written by the authors of the first EU-funded KM research project in the field of construction, this textbook is uniquely well-researched, and is the perfect introduction to KM for students across the built environment. It is also a crucial guide to the topic for practitioners.

Recenzijas

"...offers a credible introduction to many issues relevant to harvesting and managing knowledge in construction. The text is comprehensive in coverage, hence a great generic reference source. As such, it offers good value for money."

Construction Management and Economics

List of figures vii
List of tables ix
Acknowledgments x
List of abbreviations xi
1 Introduction 1(11)
2 Changing business relationships 12(9)
3 Construction in the knowledge economy 21(10)
4 Evolution of knowledge management in the construction industry 31(10)
5 Knowledge perspectives, approaches and creation processes 41(11)
6 Knowledge management systems 52(19)
7 Domain conceptualisation through ontology 71(14)
8 Construction ontology development 85(16)
9 Complex problem solving: the use of evolutionary algorithms 101(22)
10 Application of genetic algorithms for design 123(22)
11 Future technology for knowledge management 145(17)
12 Knowledge-infused alliances of companies 162(14)
13 Ingredients for a successful knowledge construction organisation 176(10)
14 Value creation: the future of knowledge management in construction 186(11)
References 197(17)
Index 214
Yacine Rezgui is an architect by profession, with a PhD in Computer Integrated Construction. He was involved in early developments of product models for construction including STEP while at the Centre Scientifique et Technique du Bātiment (CSTB) in France. After conducting research on areas relating to knowledge management and collaborative working at Salford University, he joined Cardiff University in 2008, where he is currently affiliated. He is also the Building Research Establishment chair in Sustainable Engineering in areas related to building resilience and adaptability.









John Miles graduated from Manchester University in 1972 as a civil engineer. After some years spent in industry, he obtained his PhD at Birmingham University before being recruited by Cardiff University, where he is currently joint head of the Institute of Machines and Structures. His research there has been in the area of applying artificial intelligence and computational intelligence to the sort of decision-making challenges that routinely arise in engineering and other complex domains.