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Integrating managerial preferences into the qualitative multi-criteria evaluation of team members

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posted on 2019-01-15, 08:52 authored by Ann Susan Barcomb, Nicolas Jullien, Patrick Meyer, Alexandru-Liviu Olteanu
Managers can find it challenging to assess team members consistently and fairly. The ideal composition of qualities possessed by good team members depends on the organization, the team, and the manager. To enable managers to elucidate the qualities they require, we make use of an innovative methodology. This methodology is based on a multi-criteria decision aiding process, starting with the identification and definition of the dimensions that will be used to evaluate team members, then the inference of the manager’s preferences through a multi-step protocol combining multiple types of preference models, and finally extracting a set of rules that can support the manager in his/her tasks.We illustrate this methodology in the case of free/libre/open source software development teams, wherewewere able to elicit the characteristics of a good, acceptable or bad contributor based on multiple managers’ perspectives. We additionally provide an example on how to reproduce this experiment using the MCDA package for the R statistical environment.

Funding

Lero - the Irish Software Research Centre

Science Foundation Ireland

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History

Publication

Multiple Criteria Decision Making and Aiding

Publisher

Springer

Note

peer-reviewed

Other Funding information

SFI

Rights

The original publication is available at www.springerlink.com

Language

English

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