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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Herzog, C. (2015). Contribution to the modeling of technological transfer in Green IT using multi-agent-systems.
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.
Jiang, Y., & Jiang, J. (2014). Understanding social networks from a multiagent perspective. IEEE Transactions on Parallel and Distributed Systems, 25(10), 2743–2759.
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.
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).
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.
Kuandykov, L., & Sokolov, M. (2010). Impact of social neighbourhood on diffusion of innovation S-curve. Decision Support System, 48, 531–535.
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.
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).
Valente, T. (1996). Social network thresholds in the diffusion of innovations. Social Networks, 18(1), 69–89.
Wilensky, U., & Rand, W. (2015). An introduction to agent-based modeling. Modeling. Natural, social, and engineered complex systems with NetLogo. MIT Press.
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Herzog, C., Pierson, JM., Lefèvre, L. (2017). Modelling Technology Transfer in Green IT with Multi-agent System. In: Benlamri, R., Sparer, M. (eds) Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-43434-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-43434-6_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-43433-9
Online ISBN: 978-3-319-43434-6
eBook Packages: Business and ManagementBusiness and Management (R0)