Abstract
IT collaboration involves exchanging information and data within a network with several actors in order to achieve business objectives. Such cooperation is generally ensured by building a collaborative network. This work presents an approach of actors identification through data quality in Actor-Network mode of collaboration. Indeed, data quality is one of the important characteristics which expose the actor importance in the network. We investigate the translation process of ANT (Actor Network Theory), while focusing on the problematization phase in which actor-networks are identified according to the data quality level provided, and then translating this level into cost and analyzing all possible coalitions using cooperative game. The findings will allow identifying which coalitions enhance data quality. The build of such actor-network depends therefore on both data quality and the operating cost of these data between systems.
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Benqatla, M.S., Belhiah, M., Chikhaoui, D., Bouchaib, B. (2018). IT Collaboration Based on Actor Network Theory: Actors Identification Through Data Quality. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_9
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