Construction Project Complexity as Addressed in Traditional versus Lean Project Management Literature

Bascoul, Audrey M.; Tommelein, Iris D.; Tuholski, Stanislaus

doi:10.1061/9780784481271.028

Cited by 1 publication

(2 citation statements)

References 15 publications

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“…In case that a paper involved more than one topic, only one topic with the best fit was selected (Hu, Chan, Le, & Jin, 2015;Zheng et al, 2016) in combination with the keywords identified through the co-occurrence network. Considering SDM has a distinct advantage in dealing with CM complexity, especially with risk management and organizational issues (Luo, He, Jaselskis, & Xie, 2017). Accordingly, this study made an evaluation of the topic coverage of selected SDM topics in terms of project complexity classification For the definition and classification of complexity (internal and external), see Hu et al (2015).…”

Section: Complexity-related Topic Coveragementioning

confidence: 99%

“…These are concerned with organizational capabilities and excellence (Terouhid & Ries, 2016) and employee work-family conflict management (Wu, Duan, Zuo, Yang, & Wen, 2016), both involving internal complicated causal relationships. Organization adaptability is the ability to adapt to changes in contextual complexity (Luo et al, 2017), and thus future SDM applications may be well directed at this issue.…”

Section: Complexity-related Topic Coveragementioning

confidence: 99%

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System Dynamics Modeling for Construction Management Research: Critical Review and Future Trends

Liu

et al. 2019

Journal of Civil Engineering and Management

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As a result of growing complexities in the construction industry, system dynamics modeling (SDM) has been increasingly used in construction management (CM) research to explore complicated causal relationships at the various levels of construction and management processes. Given the rapid growth of SDM applications over the past two decades, a systematic review is needed to ascertain the state of the art and further trends in the area. This paper provides the results of a systematic analysis of 103 papers from 41 selected peer-reviewed journals from 1997 to 2016. The contributions of the papers are first analyzed, structured and formulated in terms of the year of publication, software involved, the combined use with other methods, and research design. With the assistance of the a keyword co-occurrence network analysis, eight research topics involving different internal and external complexities are identified, including: (1) sustainability, (2) project planning and control, (3) performance and effectiveness, (4) strategic management, (5) site and resource management, (6) risk analysis and management, (7) knowledge management, and (8) organization and stakeholder management. The analysis results reveal the pivotal role of SDM in streamlining different complicated casual relationships at the activity, project, and industry levels across the eight topics and its significant potential in uncovering the impact of complicated contextual conditions on project planning and control, effectiveness and performance, strategic management, and sustainability at the project and industry levels. Lastly, trends and recommendations for SDM applications are provided for future CM research. This paper provides a state of the art of SDM in CM applications and insights into opportunities and useful references for the future.

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