Mirosław J. Skibniewski
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Selection of performance objectives and key performance indicators in public–private partnership projects to achieve value for money
J Yuan, AY Zeng, MJ Skibniewski, Q Li
Construction management and economics 27 (3), 253-270, 2009
Estimating capital and operational costs of backhoe shovels
AR Sayadi, A Lashgari, MM Fouladgar, MJ Skibniewski
Journal of Civil Engineering and Management 18 (3), 378-385, 2012
Web-based construction project management systems: how to make them successful?
P Nitithamyong, MJ Skibniewski
Automation in construction 13 (4), 491-506, 2004
Evaluation of advanced construction technology with AHP method
MJ Skibniewski, LC Chao
Journal of Construction Engineering and Management 118 (3), 577-593, 1992
Decision criteria in contractor prequalification
JS Russell, MJ Skibniewski
Journal of management in engineering 4 (2), 148-164, 1988
Wireless sensor networks as part of a web-based building environmental monitoring system
WS Jang, WM Healy, MJ Skibniewski
Automation in Construction 17 (6), 729-736, 2008
A literature review of the factors limiting the application of BIM in the construction industry
C Sun, S Jiang, MJ Skibniewski, Q Man, L Shen
Technological and Economic Development of Economy 23 (5), 764-779, 2017
Bayesian-network-based safety risk analysis in construction projects
L Zhang, X Wu, MJ Skibniewski, J Zhong, Y Lu
Reliability Engineering & System Safety 131, 29-39, 2014
Developing key performance indicators for public-private partnership projects: questionnaire survey and analysis
J Yuan, C Wang, MJ Skibniewski, Q Li
Journal of Management in Engineering 28 (3), 252-264, 2012
Success/failure factors and performance measures of web-based construction project management systems: Professionals’ viewpoint
P Nitithamyong, MJ Skibniewski
Journal of construction engineering and management 132 (1), 80-87, 2006
Information and communication technology applications in architecture, engineering, and construction organizations: A 15-year review
Y Lu, Y Li, M Skibniewski, Z Wu, R Wang, Y Le
Journal of Management in Engineering 31 (1), A4014010, 2015
Determination of key performance indicators with enterprise resource planning systems in engineering construction firms
MJ Skibniewski, S Ghosh
Journal of construction engineering and management 135 (10), 965-978, 2009
Analyzing enterprise resource planning system implementation success factors in the engineering–construction industry
BY Chung, MJ Skibniewski, HC Lucas Jr, YH Kwak
Journal of Computing in Civil Engineering 22 (6), 373-382, 2008
Estimating construction productivity: Neural-network-based approach
LC Chao, MJ Skibniewski
Journal of Computing in Civil Engineering 8 (2), 234-251, 1994
A dynamic Bayesian network based approach to safety decision support in tunnel construction
X Wu, H Liu, L Zhang, MJ Skibniewski, Q Deng, J Teng
Reliability Engineering & System Safety 134, 157-168, 2015
Towards a fuzzy Bayesian network based approach for safety risk analysis of tunnel‐induced pipeline damage
L Zhang, X Wu, Y Qin, MJ Skibniewski, W Liu
Risk Analysis 36 (2), 278-301, 2016
Dynamic model of excavator
PK Vähä, MJ Skibniewski
Journal of aerospace engineering 6 (2), 148-158, 1993
Prospective safety performance evaluation on construction sites
X Wu, Q Liu, L Zhang, MJ Skibniewski, Y Wang
Accident Analysis & Prevention 78, 58-72, 2015
Developing ERP systems success model for the construction industry
BY Chung, MJ Skibniewski, YH Kwak
Journal of construction engineering and management 135 (3), 207-216, 2009
Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in …
ZS Chen, XL Liu, KS Chin, W Pedrycz, KL Tsui, MJ Skibniewski
Information Fusion 69, 22-39, 2021
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