View article

With the intensification of market competition, recruiting appropriate employees has become one of the most critical factors for organisation development. In employee recruitment, it may be sufficient for recruiters to classify applicants into several ordinal classes according to their performances in various aspects, which can be regarded as an ordinal classification-based multi-criteria group decision-making (MCGDM) problem. Particularly, due to the differences in preferences, knowledge and experience, recruiters may provide substantially divergent assessments over applicants. Integrating a consensus-reaching model into employee recruitment process is an efficient way to improve the quality of employee recruitment and avoid individual biases. To this end, this study proposes an ordinal classification consensus-based employee recruitment framework. In the proposed framework, an information violation-based …