TY - GEN
T1 - Selection of Best Practices for Mitigating Complexity in Construction Projects
AU - Safapour, Elnaz
AU - Kermanshachi, Sharareh
AU - Tafazzoli, Mohammadsoroush
N1 - Publisher Copyright:
© 2020 American Society of Civil Engineers.
PY - 2020
Y1 - 2020
N2 - Practitioners involving in construction industry frequently encounter uncertainties during the management of complex projects. These uncertainties related to project complexity have considerable impacts on project success. To increase the success of project and reduce the undesirable outcomes of the stated challenges, Construction Industry Institute (CII) has suggested multiple construction best practices (BPs). Although adopting all BPs would be useful for construction projects, it might not be a cost-effective approach. Therefore, this study aimed at selecting the appropriate best practice strategies to reduce the complexity level in construction projects. To collect data, a structured questionnaire was developed and distributed among experts and professionals involved in complex projects. Thirty-nine professionals completed the survey. To analyze the collected data, various statistical analysis methods such as Kruskal-Wallis test were conducted. The results revealed that adoption of constructability, front end planning, partnering, alignment, change management, and team building are the most impactful approaches to reduce the complexity level of construction industry. It was concluded from the results that for the complexity issues due to bureaucracy in an organization, implementing front end planning would be the most beneficial solution. Additionally, adoption of partnering would be efficient to reduce the complexity level when multiple external agencies were involved in a project. The results also demonstrated that front end planning (31.43%) and change management (24.42%) covered the highest weights associated with complexity indicators (CIs) and complexity categories. The findings of this study are expected to contribute to facilitating the decision making process by project managers and to allocate resources effectively and efficiently in complex projects.
AB - Practitioners involving in construction industry frequently encounter uncertainties during the management of complex projects. These uncertainties related to project complexity have considerable impacts on project success. To increase the success of project and reduce the undesirable outcomes of the stated challenges, Construction Industry Institute (CII) has suggested multiple construction best practices (BPs). Although adopting all BPs would be useful for construction projects, it might not be a cost-effective approach. Therefore, this study aimed at selecting the appropriate best practice strategies to reduce the complexity level in construction projects. To collect data, a structured questionnaire was developed and distributed among experts and professionals involved in complex projects. Thirty-nine professionals completed the survey. To analyze the collected data, various statistical analysis methods such as Kruskal-Wallis test were conducted. The results revealed that adoption of constructability, front end planning, partnering, alignment, change management, and team building are the most impactful approaches to reduce the complexity level of construction industry. It was concluded from the results that for the complexity issues due to bureaucracy in an organization, implementing front end planning would be the most beneficial solution. Additionally, adoption of partnering would be efficient to reduce the complexity level when multiple external agencies were involved in a project. The results also demonstrated that front end planning (31.43%) and change management (24.42%) covered the highest weights associated with complexity indicators (CIs) and complexity categories. The findings of this study are expected to contribute to facilitating the decision making process by project managers and to allocate resources effectively and efficiently in complex projects.
UR - http://www.scopus.com/inward/record.url?scp=85096799393&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85096799393
T3 - Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts - Selected Papers from the Construction Research Congress 2020
SP - 667
EP - 675
BT - Construction Research Congress 2020
A2 - Grau, David
A2 - Tang, Pingbo
A2 - El Asmar, Mounir
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2020: Project Management Controls, Materials, Contracts
Y2 - 8 March 2020 through 10 March 2020
ER -