Keywords
human resources
decision theory
recruitment
technology
How to Cite
Abstract
This study examines the key criteria for evaluating résumés in the hiring processes within the software and data science sectors in Mexico. The main objective was to identify the most valued characteristics according to hiring professionals. The research employed a qualitative methodology based on semi-structured interviews conducted with nine professionals experienced in recruitment in these fields. Through manual transcription and coding of the interviews, the study revealed preferences and expectations regarding résumé attributes, highlighting the importance of communication skills, work experience, and technical knowledge relevant to the role. The analysis also identified common cognitive biases that influence candidate evaluations, such as confirmation bias and the halo effect. Additionally, the study proposes a recommended résumé structure designed to maximize its positive impact in selection processes. The findings emphasize the need for greater standardization in interviews and selection procedures, suggesting improvements through the adoption of taxonomies and systematic evaluations to achieve more objective and effective hiring practices.
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