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Companies face increased product complexity that involves reviewing and optimizing product development business processes.This leads to an increasingly multidisciplinary approach. Research units and multi-located organizations need also to set up multidisciplinary projects. Finding the right skills when building teams is then very crucial.A data analysis-based system that identifies and recommends skilled people on user request can help companies meet this challenge. In this paper,we present a decision-making tool, based on activity traces analysis, that helps its users in effectively spotting the right skilled people when needed, as well as providing indicators to assess recommendations in terms of accuracy or relevance.
Yahiaoui, S., Courtin, C., Maret, P., & Tabourot, L. (2019). Decision-making system for recommending and evaluating competences networks based on interaction data. Applied Network Science, 4(1), 1–15. https://doi.org/10.1007/s41109-019-0121-8