TY - GEN
T1 - Optimization of the Construction Subcontractor Selection Process for Residential Building Projects by Applying Blockchain Technology Through a Smart Contract
AU - Janampa, Josue
AU - Pinedo, Jean Pierre
AU - Rodriguez, Sandra
AU - Ulloa, Karem
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Nowadays, the construction industry has become the main and great engine of the global economic recovery after the effects of covid-19, generating around 10.7 trillion dollars worldwide, and it is residential construction, specifically, the one in charge of driving growth in the short term, thanks to the constant demand for residential spaces. In this sense, various challenges such as new technologies, the complexity of projects, and a growing competitive environment, force the main contractor to subcontract between 80 and 90% of the activities, thus evidencing that subcontracting is an applied and necessary process in every construction project, and making subcontractors the backbone of the procurement strategy. However, one of the main risks of subcontracting is the inadequate selection of the construction subcontractor, which is often based solely on the criteria of selecting the known subcontractor and the lowest price, which often leads to risks regarding the time, cost and quality of the project. For this reason, the present research aims to improve the selection of the construction subcontractor carried out by the main contractor, through the development of a new subcontractor selection process, adapted to the current selection process, in which a Smart Contract is incorporated to greatly contribute to trust in the selection process, thanks to the contribution of Blockchain technology, in this process, through security against data manipulation, transparency of the selection process executed, traceability of information in real time pertaining to the process followed, and automation in the selection of the subcontractor under pre-established criteria.
AB - Nowadays, the construction industry has become the main and great engine of the global economic recovery after the effects of covid-19, generating around 10.7 trillion dollars worldwide, and it is residential construction, specifically, the one in charge of driving growth in the short term, thanks to the constant demand for residential spaces. In this sense, various challenges such as new technologies, the complexity of projects, and a growing competitive environment, force the main contractor to subcontract between 80 and 90% of the activities, thus evidencing that subcontracting is an applied and necessary process in every construction project, and making subcontractors the backbone of the procurement strategy. However, one of the main risks of subcontracting is the inadequate selection of the construction subcontractor, which is often based solely on the criteria of selecting the known subcontractor and the lowest price, which often leads to risks regarding the time, cost and quality of the project. For this reason, the present research aims to improve the selection of the construction subcontractor carried out by the main contractor, through the development of a new subcontractor selection process, adapted to the current selection process, in which a Smart Contract is incorporated to greatly contribute to trust in the selection process, thanks to the contribution of Blockchain technology, in this process, through security against data manipulation, transparency of the selection process executed, traceability of information in real time pertaining to the process followed, and automation in the selection of the subcontractor under pre-established criteria.
KW - Blockchain
KW - Construction
KW - Ethereum
KW - Optimization
KW - Selection
KW - Smart contract
KW - Subcontractor
KW - Trust
UR - https://www.scopus.com/pages/publications/85185828775
U2 - 10.1007/978-981-99-6368-3_78
DO - 10.1007/978-981-99-6368-3_78
M3 - Contribución a la conferencia
AN - SCOPUS:85185828775
SN - 9789819963676
T3 - Lecture Notes in Civil Engineering
SP - 961
EP - 971
BT - Proceedings of the 3rd International Civil Engineering and Architecture Conference - CEAC 2023
A2 - Casini, Marco
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Civil Engineering and Architecture Conference, CEAC 2023
Y2 - 17 March 2023 through 20 March 2023
ER -