Multicriteria job evaluation for large organizations

The job evaluation problem presents particular characteristics, the most important of which are: (1) the existence of multiple factors that influence the evaluation; (2) the decision is often the duty of a committee; and (3) the available data include fussiness while the description, responsibilities and requirements of the jobs are usually not precisely determined. Nevertheless, job evaluation for large organisations is a crucial activity that enables the rationalisation of the links between the importance of a job and the corresponding rewards. In this paper a multicriteria disaggregation–aggregation approach is proposed to deal with the problem. Specifically, the UTA-II method was used in order to assess a consistent additive value model that allows the ranking of the jobs according to its relative importance. An application of this approach into a large Greek organisation is also described in order to present the adjustment of the multicriteria disaggregation–aggregation philosophy to this kind of evaluation problems. The implementation of this research project was supported by the MIIDAS system, which applies the above-mentioned approach.