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Modelling Technology Transfer in Green IT with Multi-agent System

Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

While there is a tremendous increase in academic research and collaboration between academia, the results of exchange between industry and science are steady. To understand this complex situation and to propose an improvement for technology transfer between academia and industry, it is necessary to investigate the different partners involved. We present a multi-agent system to model this technology transfer of green IT in order to see the impact on the development of sustainability in our society. We define a sustainability indicator and we study its changes according to the parameters defined in the technology transfer.

Keywords

Multi-agent system Green IT Technology transfer 

References

  1. Herzog, C. (2015). Contribution to the modeling of technological transfer in Green IT using multi-agent-systems.Google Scholar
  2. Jiang, Y. (2009). Concurrent collectives strategy diffusion of multiagents: The spatial model and case study. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, 39(4), 448–458.CrossRefGoogle Scholar
  3. Jiang, Y., & Jiang, J. (2014). Understanding social networks from a multiagent perspective. IEEE Transactions on Parallel and Distributed Systems, 25(10), 2743–2759.CrossRefGoogle Scholar
  4. Jiang, Y., & Jiang, J. C. (2015). Diffusion in social networks: A multiagent perspective. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45(2), 198–213.CrossRefGoogle Scholar
  5. Kempe, D., Kleinberg, J., & Tardos, E. (2003). Maximizing the spread of influence through a social network. In Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD’03, ACM, New York, NY, USA (pp. 137–146).Google Scholar
  6. Kiesling, E., Günter, M., Stummer, C., & Wakolbinger, L. M. (2012). Agent-based simulation of innovation diffusion: A review. Central European Journal of Operations Research, 20, 183–270.CrossRefGoogle Scholar
  7. Kuandykov, L., & Sokolov, M. (2010). Impact of social neighbourhood on diffusion of innovation S-curve. Decision Support System, 48, 531–535.CrossRefGoogle Scholar
  8. Libai, B., Muller, E., & Peres, R. (2013). Decomposing the value of word-of-mouth seeding programs: Acceleration versus expansion. Journal of Marketing Research, 50(2), 161–176.CrossRefGoogle Scholar
  9. Ning, M., & Qiang, L. (2009). Influence of information search cost on technology transfer based on multi-agent system. In 16th International Conference on Industrial Engineering and Engineering Management, IE&EM, October 21–23, 2009 (pp. 443, 447).Google Scholar
  10. Valente, T. (1996). Social network thresholds in the diffusion of innovations. Social Networks, 18(1), 69–89.CrossRefGoogle Scholar
  11. Wilensky, U., & Rand, W. (2015). An introduction to agent-based modeling. Modeling. Natural, social, and engineered complex systems with NetLogo. MIT Press.Google Scholar
  12. Xu, S., Lu, W., & Xu, L. (2012). Push- and pull-based epidemic spreading in networks: Threshold and deeper insights. ACM Transactions on Autonomous and Adaptive Systems, 7(3), Art. ID 32.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Institut de Recherche en Informatique de Toulouse, Université Paul Sabatier—Toulouse IIIToulouseFrance
  2. 2.INRIA-Lyon, ENS-LyonLyonFrance

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