A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Post-pandemic Project Change Management Model: An Adaptable Framework Utilizing Levenberg–Marquardt Algorithm and Dynamic Causal Loop Diagram for Construction Innovation
The coronavirus pandemic (Covid-19) had a detrimental effect on the majority of sectors, including the construction industry. The industry’s operations, productivity, expenditures, and profit have all been impacted. With the present state of the economy, it’s natural that certain methods and frameworks are no longer as useful, efficient, or effective as they once were. This study examines the various relationships between delays, profit, productivity rate, and project acquisition, as well as their impact on the project-change management practices of companies in the Philippine construction industry, with the goal of developing a new project-change management framework that is flexible and adaptable to future changes. This research employs a variety of statistical techniques to ascertain the significance of each variable and its contribution to project change management. Through the use of artificial neural network modeling and causal loop diagramming, the different connections between the variables were graphically interpreted. The artificial neural network modeling of the variables demonstrated a high degree of accuracy, with a R all value of 0.99492; scatter plots also revealed a high degree of positive correlation. The causal loop diagram illustrates the many connections between the input variables and their contributing components. Together, the models and statistical tests summarize the criteria employed by the researchers to create a project-change management framework that is focused on its capacity to be used for both short- and long-term objectives, is applicable to the new normal, and is adaptable to any future change.
Post-pandemic Project Change Management Model: An Adaptable Framework Utilizing Levenberg–Marquardt Algorithm and Dynamic Causal Loop Diagram for Construction Innovation
The coronavirus pandemic (Covid-19) had a detrimental effect on the majority of sectors, including the construction industry. The industry’s operations, productivity, expenditures, and profit have all been impacted. With the present state of the economy, it’s natural that certain methods and frameworks are no longer as useful, efficient, or effective as they once were. This study examines the various relationships between delays, profit, productivity rate, and project acquisition, as well as their impact on the project-change management practices of companies in the Philippine construction industry, with the goal of developing a new project-change management framework that is flexible and adaptable to future changes. This research employs a variety of statistical techniques to ascertain the significance of each variable and its contribution to project change management. Through the use of artificial neural network modeling and causal loop diagramming, the different connections between the variables were graphically interpreted. The artificial neural network modeling of the variables demonstrated a high degree of accuracy, with a R all value of 0.99492; scatter plots also revealed a high degree of positive correlation. The causal loop diagram illustrates the many connections between the input variables and their contributing components. Together, the models and statistical tests summarize the criteria employed by the researchers to create a project-change management framework that is focused on its capacity to be used for both short- and long-term objectives, is applicable to the new normal, and is adaptable to any future change.
Post-pandemic Project Change Management Model: An Adaptable Framework Utilizing Levenberg–Marquardt Algorithm and Dynamic Causal Loop Diagram for Construction Innovation
Lecture Notes in Civil Engineering
Kang, Thomas (editor) / Lee, Youngjin (editor) / Silva, Dante (author) / de Jesus, Kevin Lawrence (author) / Villaverde, Bernard (author) / Torre, Rachel Grace Dela (author) / Espero, Nicolich (author) / Fermin, Kezia Justine (author) / Ramirez, Raymond Robie (author)
Proceedings of 2021 4th International Conference on Civil Engineering and Architecture ; Chapter: 51 ; 587-600
2022-01-31
14 pages
Article/Chapter (Book)
Electronic Resource
English
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