Abstract : SMEs are encouraged to collaborate for research and innovation in order to survive in tough global competition. Even the technology SMEs with high knowledge capital have the fear to collaborate with other SMEs or bigger companies. This study aims to illuminate the preferences in customer, supplier and competitor collaboration within industry or inter industry. A survey is run on more than 110 companies and Machine Learning methods are used to define the association rules that will lead for success.
Danielle Boulanger; Eunika Mercier-Laurent; Mieczysław Lech Owoc. 2nd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Sep 2014, Warsaw, Poland. IFIP Advances in Information and Communication Technology, AICT-469, pp.150-164, 2015, Artificial Intelligence for Knowledge Management. 〈10.1007/978-3-319-28868-0_9〉
https://hal.inria.fr/hal-01369809
Contributeur : Hal Ifip
<>
Soumis le : mercredi 21 septembre 2016 - 15:14:42
Dernière modification le : jeudi 12 juillet 2018 - 01:03:27
Document(s) archivé(s) le : jeudi 22 décembre 2016 - 13:30:12
Gulgun Kayakutlu, Irem Duzdar, Eunika Mercier-Laurent, Bahar Sennaroglu. Intelligent Association Rules for Innovative SME Collaboration. Danielle Boulanger; Eunika Mercier-Laurent; Mieczysław Lech Owoc. 2nd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Sep 2014, Warsaw, Poland. IFIP Advances in Information and Communication Technology, AICT-469, pp.150-164, 2015, Artificial Intelligence for Knowledge Management. 〈10.1007/978-3-319-28868-0_9〉. 〈hal-01369809〉
