Abstract
Design of platforms for provision of advanced mobile data services is at the center of current industrial and academic research in mobile telecommunications. Provision of such services requires combination of different types of expertise and capabilities and for this reason needs a concerted effort of different industrial actors. While the main research focus has been on the engineering of services and technological design, much less is done for understanding of business and economic issues which such collaboration between different actors with different interests entails.
In this paper we develop quantitative tools for evaluation and design of business models for collaborative service provision. These methods are based on the notions of modern investment theory and risk management and use advances in decision support under uncertainty, in particular stochastic optimization. While stochastic optimization component is relatively simple in the present paper, it sets the stage for further developments in this direction.
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Gaivoronski, A.A., Zoric, J. (2008). Evaluation And Design of Business Models for Collaborative Provision of Advanced Mobile Data Services: A Portfolio Theory Approach. In: Raghavan, S., Golden, B., Wasil, E. (eds) Telecommunications Modeling, Policy, and Technology. Operations Research/Computer Science Interfaces, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77780-1_17
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DOI: https://doi.org/10.1007/978-0-387-77780-1_17
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