Influence of a Range of Interaction among Agents on Efficiency and Effectiveness of Knowledge Transfer within an Organisation

• Authors: K. Paradowski , A. Kowalska-Styczeń , K. Malarz
• Languages of publication: EN

Abstracts

EN

In this study we examined how the size of non-formal groups between organisation members affect the transfer of knowledge in the context of the efficiency and effectiveness of this process. To analyse the dynamics of the transfer of knowledge the cellular automata model was used. The model is based on local interactions between members of the organisation, that take place in the nearest neighbourhood. These groups of close neighbours are represented by von Neumann's neighbourhood (four nearest-neighbours) and Moore's neighbourhood (four nearest-neighbours and four next-nearest neighbours) and complex neighbourhood (four nearest neighbours, four next-nearest neighbours and four next-next-neighbours). The results of the simulation show the influence of the size of the neighbourhood on the efficiency of knowledge transfer.

Keywords

EN

cellular automata; complex systems; social and economic systems; structures and organisation in complex systems

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2018
• Volume: 133
• Issue: 6
• Pages: 1470-1476

Dates

published

2018-06

Contributors

author

K. Paradowski

• AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland

author

A. Kowalska-Styczeń

• Silesian University of Technology, Faculty of Organisation and Management, T. Roosevelta 26/28, 41-800 Zabrze, Poland

author

K. Malarz

• AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland

Identifiers

DOI

10.12693/APhysPolA.133.1470