Communication Policies in Knowledge Networks

Evangelos Ioannidis, Nikos Varsakelis () and Ioannis Antoniou

Physica A: Statistical Mechanics and its Applications, 2018, vol. 492, issue C, 360-374

Abstract: Faster knowledge attainment within organizations leads to improved innovation, and therefore competitive advantage. Interventions on the organizational network may be risky or costly or time-demanding. We investigate several communication policies in knowledge networks, which reduce the knowledge attainment time without interventions. We examine the resulting knowledge dynamics for real organizational networks, as well as for artificial networks. More specifically, we investigate the dependence of knowledge dynamics on: (1) the Selection Rule of agents for knowledge acquisition, and (2) the Order of implementation of “Selection” and “Filtering”. Significant decrease of the knowledge attainment time (up to −74%) can be achieved by: (1) selecting agents of both high knowledge level and high knowledge transfer efficiency, and (2) implementing “Selection” after “Filtering” in contrast to the converse, implicitly assumed, conventional prioritization. The Non-Commutativity of “Selection” and “Filtering”, reveals a Non-Boolean Logic of the Network Operations. The results demonstrate that significant improvement of knowledge dynamics can be achieved by implementing “fruitful” communication policies, by raising the awareness of agents, without any intervention on the network structure.

Keywords: Knowledge networks; Knowledge dynamics; Communication policy; Selection rule; Prioritization; Non-commutativity (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:492:y:2018:i:c:p:360-374

DOI: 10.1016/j.physa.2017.09.078

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