000 03723nam a22003735i 4500
001 313981
003 MX-SnUAN
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008 150903s2013 ne | o |||| 0|eng d
020 _a9789400762565
_99789400762565
024 7 _a10.1007/9789400762565
_2doi
035 _avtls000367810
039 9 _a201509030718
_bVLOAD
_c201405070447
_dVLOAD
_y201402251635
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTH438
100 1 _aJha, Kumar Neeraj.
_eautor
_9356410
245 1 0 _aDeterminants of Construction Project Success in India /
_cby Kumar Neeraj Jha.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2013.
300 _axiv, 227 páginas 23 ilustraciones, 17 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aTopics in Safety, Risk, Reliability and Quality,
_x1566-0443 ;
_v23
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9789400762558
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-94-007-6256-5
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c313981
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