Communication Network Analysis of Project Teams in Korean Building Constructions

2013 ◽  
Vol 357-360 ◽  
pp. 2338-2341 ◽  
Author(s):  
Jae Yeob Kim ◽  
Sang Tae No ◽  
Yong Kyu Park
Keyword(s):  
Communication Network ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Construction Project ◽  
Project Teams ◽  
Degree Centrality ◽  
Analysis Program ◽  
Team Members ◽  
Communication Frequency

This study used social network analysis (SNA) in order to analyze communication relationship between project team members in typical cases of Korean building constructions. Data was collected by conducting a survey from key members of construction project teams. We analyzed and digitized degree centrality by using Netminer, a SNA analysis program. According to the result of analysis in communication frequency, intermediate managers such as construction deputy managers were shown the highest and architectural designers were shown the lowest. With respect to communication credibility, construction managers were shown the highest and architectural designers were shown to be low. We discovered that intermediate managers and construction managers of the construction teams play important role in the communication of project teams.

Research on Organization Network Model for Construction Project Based on Social Network Analysis

2012 ◽  
Vol 174-177 ◽  
pp. 2001-2005 ◽  
Author(s):  
Yang Lin
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Model ◽  
Construction Project ◽  
Social Characteristics ◽  
Visual Methods ◽  
Engineering Project ◽  
Project Organization ◽  
Organization And Management

Current project organization is mostly non-professional and low maturity, which lack of mature and visual methods and tools. Engineering project has obvious social characteristics, which includes not only material operating activities also cooperation and collaboration of complex staff a large number of social activities, etc. This paper point out the organization of control of project management into the field of social network analysis(SNA), A qualitative social network model for construction project organization is established, and then this model is quantitatively analyzed with the help of UCINET, which can fully demonstrate the organization and management in the areas of project feasibility.

Social Network Analysis for the Implementation of Sendai Framework for Disaster Risk Reduction in Iran

2019 ◽  
Author(s):  
Homa Yousefi Khoshsabegheh ◽  
Ali Ardalan ◽  
Amir Hossein Takian ◽  
Leila Hedayatifar ◽  
Abbas Ostadtaghizadeh ◽  
...  
Keyword(s):  
Risk Management ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Optimization Methods ◽  
Optimization Method ◽  
Disaster Risk ◽  
Civil Defense ◽  
Disaster Risk Management ◽  
The Status

Abstract Background: Over recent years, the exposure of people and assets to disasters has been faster than reducing vulnerability in all countries. As a result, new risks have been formed and losses due to disaster are progressively increasing. Suffering from significant losses in the aftermath of disasters every year, Iran is no exception. Governmental and non-governmental stakeholders are jointly responsible for managing the risks of disasters. Hence, appropriate, collaborative and timely interactions of involved organizations will play an important role in their operation, especially during disasters. Methods: In this study, we used the Social Network Analysis (SNA) to analyze the network of stakeholders in disaster risk management in Iran. Our review of literature, laws, and regulations of disaster risk management plus brainstorming identified a list of 85 stakeholders. We used the Delphi method among purposefully selected experts to score the relationship between the stakeholders. We then used the modularity optimization method to identify groups with greater interaction. Organizations with key-roles in the network and the ones in need of stronger relationships were identified through centrality measurements. Results: The density of this network was 0.75, which represented that not all the stakeholders were connected. Among all organizations identified, the National Disaster Management Organization and Civil Defense Organization showed higher influences considering their responsibilities. Conclusion: To provide a visual and tangible picture of the status and interrelationships among the stakeholders, this method identified groups with better interaction using community/cluster detection and modularity optimization methods. Understanding the current structure of the network and strengths and weaknesses of the interactions among stakeholders may help improve disaster risk management in Iran. Results of this research determine the role and importance of different organizations, their weakness, and strong points. Also, results help them to plan to strengthen their roles and solve their problems.

scholarly journals Governance of Relationship Risks in Megaprojects: A Social Network Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Linlin Xie ◽  
Ting Han ◽  
Martin Skitmore
Keyword(s):  
Risk Management ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Management Strategies ◽  
Point Of View ◽  
Risk Governance ◽  
Key Stakeholders ◽  
Risk Management Strategies

Megaprojects usually involve an alarmingly large number of stakeholders that form a complicated social network and lead to significant relationship risks to client/owners. Therefore, it is necessary to carry out megaproject risk management from a sociological point of view. Based on a case study of the Zhuhai Port, which connects Hong Kong, Zhuhai, and Macao, this paper analyzes the relationship risk between stakeholders and corresponding risk management strategies using social network analysis (SNA). The findings show that stakeholders with a lower density and higher centrality in the network have comparatively a lower relationship risk. Different stakeholders should choose appropriate partners to improve their centrality, reduce the network density to increase their ability to access resources, and enhance their influence and independence in the network. For megaproject client/owners, identifying and monitoring key stakeholders is the key to effective relationship risk governance. The findings provide a number of practical implications for relationship risk management and further demonstrate the importance of stakeholder teamwork, particularly for megaprojects.

scholarly journals Mapping the knowledge flow in sustainable construction project teams using social network analysis

2017 ◽  
Vol 24 (2) ◽  
pp. 229-259 ◽  
Author(s):  
Veronika Lilly Meta Schröpfer ◽  
Joe Tah ◽  
Esra Kurul
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Construction Projects ◽  
Construction Project ◽  
Research Strategy ◽  
Knowledge Flows ◽  
Sustainable Construction ◽  
Content Type ◽  
Novel Approach

Purpose The purpose of this paper is to examine knowledge transfer (KT) practices in five construction projects delivering sustainable office buildings in Germany and the UK by using social network analysis (SNA). Design/methodology/approach Case studies were adopted as research strategy, with one construction project representing one case study. A combination of quantitative data, social network data and some qualitative data on perceptions of the sustainable construction process and its KT were collected through questionnaires. The data were analysed using a combination of descriptive statistics, cross-tabulations, content analysis and SNA. This resulted in a KT map of each sustainable construction project. Findings The findings resulted in a better understanding of how knowledge on sustainable construction is transferred and adopted. They show that large amounts of tacit knowledge were transferred through strong ties in sparse networks. Research limitations/implications The findings could offer a solution to secure a certain standard of sustainable building quality through improved KT. The findings indicate a need for further research and discussion on network density, tie strength and tacit KT. Originality/value This paper contributes to the literature on KT from a social network perspective. It provides a novel approach through combining concepts of network structure and relatedness in tie contents regarding specialised knowledge, i.e. sustainable construction knowledge. Thereby it provides a robust approach to mapping knowledge flows in office building projects that aim to achieve high levels of sustainability standards.

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