Issue |
MATEC Web Conf.
Volume 276, 2019
International Conference on Advances in Civil and Environmental Engineering (ICAnCEE 2018)
|
|
---|---|---|
Article Number | 02024 | |
Number of page(s) | 9 | |
Section | Construction Management | |
DOI | https://doi.org/10.1051/matecconf/201927602024 | |
Published online | 15 March 2019 |
Improving relationship quality between main contractors and sub-contractors in Indonesian Infrastructure Projects
1 Universitas Pesantren Tinggi Darul Ulum (Unipdu), Indonesia
2 Queensland University of Technology (QUT), Australia
* Corresponding author: yosiagustiawan@ft.unipdu.ac.id
This paper has two main sections, the first of which provides a summarized review of the literature focusing on existing studies of the adversarial relationships between main and sub-contractors in project execution phases. Such relationships become hurdles for the construction organizations to achieve quality relationships. Organizational culture influences these relationships due to its constituent elements of value, leadership style, procedures, and routine, as well as defining success or failure. Drawing from the first section, the second section presents the details of the research project being undertaken. Suitable research methods have been developed to meet the research objectives eliciting based on fundamental questions. Primary data collection will use a mixed methods approach, i.e., questionnaire surveys and semi-structured interviews to obtain respondents opinions related to social interactions in Indonesian infrastructure projects. The project-based organizational culture assessment of Zou (2014) and relationship quality evaluation of Jiang (2016) are utilized in this study. Statistical software will be used to analyze most data expected to be obtained in the future and then the results will be discussed to develop a framework to improve relationship quality in achieving project performance.
© Owned by the authors, published by EDP Sciences, 2012
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.