東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Evolution of AEC Project Networks: a...

Pidiha, Nishchay.

Linked to FindBook

Google Book

Amazon

博客來

Evolution of AEC Project Networks: an Agent-Based Modeling Approach.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolution of AEC Project Networks: an Agent-Based Modeling Approach./
Author:	Pidiha, Nishchay.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	160 p.
Notes:	Source: Masters Abstracts International, Volume: 82-11.
Contained By:	Masters Abstracts International82-11.
Subject:	Architectural engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28417709
ISBN:	9798728227311

Evolution of AEC Project Networks: an Agent-Based Modeling Approach.
Pidiha, Nishchay.

Evolution of AEC Project Networks: an Agent-Based Modeling Approach. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 160 p.

Source: Masters Abstracts International, Volume: 82-11.

Thesis (M.S.)--Michigan State University, 2021.

This item must not be sold to any third party vendors.

In Architecture, Engineering, and Construction (AEC) industry, projects call for collaboration between different expertise areas. To improve collaboration and knowledge transfer between different stakeholders, an in-depth understanding of the communication network structure is crucial. While Social Network Analysis (SNA) shows promise in analyzing communication network structures, the AEC literature to date shows its use mainly in a cross-sectional manner. A recent longitudinal case study shows that these networks are not static and can evolve overtime. However, due to fast-paced delivery of any AEC project, researchers often arrive at missing data, sometimes depriving them from concluding statistically significant results in a longitudinal study. Hence, there is a need for further investigating the evolution of AEC project teams network structures through a simulation that emulate certain aspects of a social network structure evolution over time. In response to this need, the study aims to explicate, how real-world size AEC project networks evolve over project delivery based on similarity of node characteristics (e.g., homophily) and node behaviors in networks (e.g., node's popularity). To do so, the study adopted selection model, and simulated multiple agent-based models basing its initial condition on an empirical case study. The evolutions of the network structures were analyzed overtime. Finally, the study compared the results with recent similar works. Deliverables include an improved understanding of AEC project network structures and characteristics, and practical implications relating to team collaboration and coordination considering project characteristics such as team size, and complexity.

ISBN: 9798728227311Subjects--Topical Terms:

3174102
Architectural engineering.
Subjects--Index Terms:

Agent-Based Model

Evolution of AEC Project Networks: an Agent-Based Modeling Approach.
LDR:02894nmm a2200361 4500 001 2280916
005 20210913091745.5
008 220723s2021 ||||||||||||||||| ||eng d
020 $a 9798728227311
035 $a (MiAaPQ)AAI28417709
035 $a AAI28417709
040 $a MiAaPQ $c MiAaPQ
100 1 $a Pidiha, Nishchay. $0 (orcid)0000-0003-3667-160X $3 3559481
245 1 0 $a Evolution of AEC Project Networks: an Agent-Based Modeling Approach.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 160 p.
500 $a Source: Masters Abstracts International, Volume: 82-11.
500 $a Advisor: Mollaoglu, Sinem.
502 $a Thesis (M.S.)--Michigan State University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a In Architecture, Engineering, and Construction (AEC) industry, projects call for collaboration between different expertise areas. To improve collaboration and knowledge transfer between different stakeholders, an in-depth understanding of the communication network structure is crucial. While Social Network Analysis (SNA) shows promise in analyzing communication network structures, the AEC literature to date shows its use mainly in a cross-sectional manner. A recent longitudinal case study shows that these networks are not static and can evolve overtime. However, due to fast-paced delivery of any AEC project, researchers often arrive at missing data, sometimes depriving them from concluding statistically significant results in a longitudinal study. Hence, there is a need for further investigating the evolution of AEC project teams network structures through a simulation that emulate certain aspects of a social network structure evolution over time. In response to this need, the study aims to explicate, how real-world size AEC project networks evolve over project delivery based on similarity of node characteristics (e.g., homophily) and node behaviors in networks (e.g., node's popularity). To do so, the study adopted selection model, and simulated multiple agent-based models basing its initial condition on an empirical case study. The evolutions of the network structures were analyzed overtime. Finally, the study compared the results with recent similar works. Deliverables include an improved understanding of AEC project network structures and characteristics, and practical implications relating to team collaboration and coordination considering project characteristics such as team size, and complexity.
590 $a School code: 0128.
650 4 $a Architectural engineering. $3 3174102
653 $a Agent-Based Model
653 $a Architecture, Engineering, and Construction Project Team
653 $a Heterophily
653 $a Homophily
653 $a Popularity seeking
653 $a Social Network Structures
690 $a 0462
710 2 $a Michigan State University. $b Construction Management - Master of Science. $3 2095061
773 0 $t Masters Abstracts International $g 82-11.
790 $a 0128
791 $a M.S.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28417709