| Title |
Predicting Cooperative Relationships between Engineering Companies in World Bank’s ODA Projects |
| Authors |
Yu, Youngsu ; Koo, Bonsang ; Lee, Kwanhoon ; Han, Seungheon |
| DOI |
http://dx.doi.org/10.6106/KJCEM.2019.20.6.107 |
| Keywords |
International Cooperative Strategies; World Bank ODA; Link Prediction; XGBoost |
| Abstract |
Korean construction engineering firms want to pave the way for expansion of overseas markets through the World Bank’s Official Development Assistance (ODA) projects as a way to improve their overseas project performance. However, since the World Bank project competes with global companies for limited projects, building partnerships with suitable business partners is essential to gain an upper hand in bidding competition and meet the institutional conditions of the recipient country. In this regard, many network studies have been conducted in the past through Social Network Analysis (SNA), but few have been analyzed based on the process of changes in the network. So, This study collected winning data from the three Southeast Asian countries that ended after the World Bank’s ODA project performed smoothly, and established a learning-based link prediction model that reflected the dynamic nature of the network. As a result, the 11 main variables acting on building a cooperative relationship between winning companies were derived and the effect of each variables on the probability value of cooperation between individual links was identified. |