How to improve information flow in telecom enterprises

Abstract. In this paper, I develop a model for understanding the importance of combining information logistics and semantic information. I use this combination as a representation of an initial solution to the problem of information overflow. The focus is on how could be possible to improve information flow, which indeed is essential and it impacts operational efficiency and enterprise productivity. The model combines information logistics and semantic information as a mean to provide the right person, with semantic information, at the right time and for the right purpose. This combination is a foundation for just-in-time information, also considered as a problem-solving basis for telecom enterprises, which could facilitate their daily workload. The results are based on empirical data gathered from structured interviews of sixty participants, who revealed new stories of how these telecom enterprises are miss functioning due to information overflow. I discuss the implications of this model, considered as an initial solution to reach efficient information flow and to improve communication process that is of crucial importance in every enterprise. This research uses the empirical data to explore the problem of information overflow, mainly from a design perspective, which indeed leads this research to further develop an analytical understanding of the problem.

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