000 04039nam a22005535i 4500
001 978-94-007-6256-5
003 DE-He213
005 20200421112222.0
007 cr nn 008mamaa
008 130427s2013 ne | s |||| 0|eng d
020 _a9789400762565
_9978-94-007-6256-5
024 7 _a10.1007/978-94-007-6256-5
_2doi
050 4 _aTH438
072 7 _aTNT
_2bicssc
072 7 _aTEC005000
_2bisacsh
082 0 4 _a624
_223
100 1 _aJha, Kumar Neeraj.
_eauthor.
245 1 0 _aDeterminants of Construction Project Success in India
_h[electronic resource] /
_cby Kumar Neeraj Jha.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2013.
300 _aXIV, 227 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTopics in Safety, Risk, Reliability and Quality,
_x1566-0443 ;
_v23
505 0 _a1 Introduction -- 2 Research Method -- 3 Major Attributes of Project Performance -- 4 Critical Success Factors For Projects -- 5 Project Performance Prediction -- 6 Success Traits For a  Construction Project -- 7 Project Coordination For Success -- 8 Other Issues in Project Coordination and Traits of a Project Coordinator -- 9 Summary and Conclusions -- Index.
520 _aThis study presents exploratory work and seeks to identify and evaluate the success and failure factors that could form a guideline for further study and to some extent help professionals to understand some critical aspects that impact project performance concerning construction in India. A total of 55 attributes affecting the performance of construction projects are analysed in terms of their level of influence on four key performance criteria - schedule, cost, quality, and no disputes - using a two-stage questionnaire survey. These attributes are then further analysed, interpreted and evaluated.   Based on the critical success factors obtained from the study, a neural network model-based predictive model for project performance has been developed. The performance prediction models have been derived for all four project performance criteria. Further, a hypothesis that 'project success' is influenced by 'success traits' has also been formulated. The hypothesized positive inter-relationships between success traits and project success have been tested using the structural equation modelling technique. Besides supporting the intuition of past researchers in recognizing 'coordination' as a key success factor, this study has revealed that coordination is not an isolated and independent activity, but is a typical management function with an inherent role in all major management activities. Key elements affecting coordination have also been identified and their influence on coordination effort has been studied. Furthermore, the present study has also identified  three broad skill groups required of effective project coordinators. The results are validated through case studies of live projects and structured interviews with experts in the field of construction management.
650 0 _aEngineering.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 0 _aQuality control.
650 0 _aReliability.
650 0 _aIndustrial safety.
650 0 _aBuilding
_xSuperintendence.
650 0 _aConstruction industry
_xManagement.
650 0 _aConstruction superintendence.
650 1 4 _aEngineering.
650 2 4 _aConstruction Management.
650 2 4 _aIndustrial and Production Engineering.
650 2 4 _aQuality Control, Reliability, Safety and Risk.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400762558
830 0 _aTopics in Safety, Risk, Reliability and Quality,
_x1566-0443 ;
_v23
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-6256-5
912 _aZDB-2-ENG
942 _cEBK
999 _c57463
_d57463