A Theoretical Approach for Detecting and Anticipating Collaboration Opportunities

Ibrahim Koura (1) , Frederick Benaben (1) , Juanqiong Gou (2)

1 CGI - Centre Génie Industriel
2 BJTU - Beijing Jiaotong University

The concept of collaborative networks has been encountered very frequently these days as the reply when trying to adapt and enhance enterprises in this tremendously competitive commercial environments. A lot of knowledge has been gathered for collaborative networks so far, from defining network kinds to levelizing partnerships and also proposing models for partnership developments. But most of these efforts didn’t tackle a very vital obstacle which is detecting and predicting collaboration possibilities between enterprises. In this paper, a new enterprise characteristics classification is proposed, which will be used as a profile for characterizing enterprises susceptible to take part in a collaborative network. The proposed detection approach is based on the enterprise characteristics concept as well as collaboration network types. Also a hypothesis to rank the potential partners using KPIs is shown along with the big picture of this approach accompanied by the future work that has to be done.

Mots clés: Enterprise characteristics; Collaborative networks; KPI classification; Collaboration detection

Domaines: Sciences de l'ingénieur [physics]; Informatique [cs]

Ibrahim Koura, Frederick Benaben, Juanqiong Gou. A Theoretical Approach for Detecting and Anticipating Collaboration Opportunities. APMS 2019 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, Sep 2019, Austin TX, United States. pp.531-538, ⟨10.1007/978-3-030-29996-5_61⟩. ⟨hal-02275451⟩