Intelligent models for predicting levels of client satisfaction

Robby Soetanto; David G. Proverbs

doi:10.1142/S1609945104000164

Intelligent models for predicting levels of client satisfaction

Robby Soetanto^*
, David G. Proverbs

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

22 Citations (SciVal)

Original language	English
Pages (from-to)	233-253
Number of pages	21
Journal	Journal of Construction Research
Volume	5
Issue number	2
DOIs	https://doi.org/10.1142/S1609945104000164
Publication status	Published (VoR) - Sept 2004

Keywords

Artificial neural network
Client satisfaction
Contractor performance
Performance assessment
Project coalition

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@article{d7156631a3294c41aed49d1be6a0b880,

title = "Intelligent models for predicting levels of client satisfaction",

keywords = "Artificial neural network, Client satisfaction, Contractor performance, Performance assessment, Project coalition",

author = "Robby Soetanto and Proverbs, \{David G.\}",

year = "2004",

month = sep,

doi = "10.1142/S1609945104000164",

language = "English",

volume = "5",

pages = "233--253",

journal = "Journal of Construction Research",

issn = "1609-9451",

number = "2",

}

TY - JOUR

T1 - Intelligent models for predicting levels of client satisfaction

AU - Soetanto, Robby

AU - Proverbs, David G.

PY - 2004/9

Y1 - 2004/9

KW - Artificial neural network

KW - Client satisfaction

KW - Contractor performance

KW - Performance assessment

KW - Project coalition

UR - https://www.scopus.com/pages/publications/22844444459

UR - https://www.scopus.com/pages/publications/22844444459#tab=citedBy

U2 - 10.1142/S1609945104000164

DO - 10.1142/S1609945104000164

M3 - Review article

AN - SCOPUS:22844444459

SN - 1609-9451

VL - 5

SP - 233

EP - 253

JO - Journal of Construction Research

JF - Journal of Construction Research

IS - 2

ER -

Intelligent models for predicting levels of client satisfaction

Keywords

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