TY  - CONF
TI  - Reducing Bias in the Hiring Process Through Choosing by Advantages: A Case Study
AU  - Paucar-Espinoza, Anthony F.
AU  - Erazo-Rondinel, Andrews A.
AU  - Arroyo, Paz
AU  - Salazar, Luis A.
AD  - Researcher, Faculty of Civil Engineering, Universidad Nacional de Ingeniería, Lima, Peru,  apaucare@uni.pe, orcid.org/0000-0002-5369-1584
AD  - Teaching Assistant, Professional School of Civil Engineering, Universidad Continental, Huancayo, Peru,  aerazo@continental.edu.pe, orcid.org/0000-0002-5639-573X
AD  - Quality Leader, DPR Construction, San Francisco, CA 94111, USA, paza@dpr.com, orcid.org/0000- 0002-8098-8172
AD  - Academic, Departamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaíso,  Chile, luis.salazarf@usm.cl, orcid.org/0000-0001-7339-8935
PY  - 2022
DA  - 2022/07/27
T2  - Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)
C3  - Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)
CY  - Edmonton, Canada
SP  - 1087
EP  - 1098
DO  - 10.24928/2022/0217
SN  - 2309-0979 (ISSN)
AB  - Construction projects rely on the people in the project team; people are selected to perform their role satisfactorily in the project and contribute to its success. However, the selection in the hiring process has different biases that are often not perceived by those who decide to hire people. This research aims to present a study applying the Choosing By Advantages (CBA) Tabular method for the hiring process of a new team member, aligning the structure of the selection process with the five phases of the CBA system. The selection process is divided into two parts to reduce bias in decision-making: the first preliminary part uses information associated with objective data from the applicants' CVs without knowing their identities. The second part complements information knowing their identities obtained from personal interviews. In this research, we use a practical approach called the SEEDS Model®, represented in five categories of biases present in everyday thinking (similarity, expedience, experience, distance, and safety). Furthermore, the results demonstrate that CBA and SEEDS Model® help reduce bias in the selection process and choose people for their attributes representing their capacities, avoiding bias in the selection.
KW  - Choosing By Advantages
KW  - multi-criteria decision analysis
KW  - CBA Tabular Method
KW  - SEEDS  Model®
KW  - hiring process
KW  - bias.
L1  - https://www.iglc.net/papers/details/2033/pdf
UR  - https://www.iglc.net/papers/details/2033
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -