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Provision of mobile data services: portfolio analysis. Alexei A. Gaivoronski. Norwegian University of Science and Technology, Trondheim, Norway. Alexei.Gaivoronski@iot.ntnu.no. Design of composite service. Telecommunications IT services.
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Provision of mobile data services: portfolio analysis Alexei A. Gaivoronski Norwegian University of Science and Technology, Trondheim, Norway Alexei.Gaivoronski@iot.ntnu.no IKT Økonomi
Design of composite service • Telecommunications • IT services • .... IKT Økonomi
Example of structural description of service provision IKT Økonomi
Different constellations of roles IKT Økonomi
Service architecture IKT Økonomi
Services, roles and actors services Components, enablers, roles users actors SPICE IKT Økonomi
Economic requirements • Platform should be attractive for all actors • Actors should feel incentive to join service provision, that is they should want to join cooperative effort because they will benefit from it • Services should provide to actors a competitive source of profit • Risk/return considerations: risk that users will not accept the service as expected, cannibalizing, etc IKT Økonomi
Approach of modern financial theory • Actors participate in service(s) provision assuming roles and providing components for services • Quantify cash flow, profits and risks • Each actor will select tradeoff between profit and risk exposure according to its preferences • This will result in service portfolio for each actor • Coordination tools should assure that the actors will select on their own accord participation in service provision in required proportion IKT Økonomi
Risk/return tradeoff IKT Økonomi
Quantitative modelDescription of service • Services consist of components which my be provided by different actors N components indexed by i and M services indexed by j lij - share of component i in service j. Description of service through components: • Service generate revenue vj • Revenue sharing coefficients • Actor who contribures with component i recieves revenue IKT Økonomi
Description of actors • Actors assume roles by providing service components • This incurs costs and brings revenue K actors indexed by k cik – unit provision costs for actor k providing component i Wik – provision capability of component i by actor k xijk – the portion of provision capability for component i of actor k dedicated to participation in provision of service j. Profit model for actor k xijkWik - the volume of provision of component i dedicated by actor k to service j IKT Økonomi
Profit model for actor k • xijkWik/λij- volume of service j in which the actor k participates • vjxijkWki/λij - the total revenue from this service • vjxijkWkiγij/λij - the part of the revenue which goes to actor k • Profit of actor k: IKT Økonomi
Profit model for actor k • Basic case: an actor provides only one component • Profit • Return • Portfolio viewpoint: an actor chooses portfolio of services to which contribute IKT Økonomi
Portfolio viewpoint • Return coefficients associated with participation in each service • expected return coefficients • expected return • Risk that actual return will be different from expected return or even become loss IKT Økonomi
Efficient service portfolios • Problem to solve for computing eficient frontier IKT Økonomi
Next level: quantitative coordination • What is necessary is that the whole service provision platform functions properly • And this means that different actors should independently make decisions to participate in different services which nevetherless will provide coordinated result. • Revenue sharing coefficients should be chosen in order to achieve this IKT Økonomi
Coordinator (service provider) problem Paper is available on Edition 1 of the model set IKT Økonomi
Architecture of the DSS prototype IKT Økonomi
Screenshot 1 of demo of DSS prototype IKT Økonomi
Screenshot 2 of demo of DSS prototype IKT Økonomi
Example: business person on the move IKT Økonomi
Risk/performance preferences IKT Økonomi
Market shares IKT Økonomi
Price competition IKT Økonomi
Summary • Service design and planning constitutes a rich source of optimization problems under uncertainty • They are not necessarily linear but they are worth solving IKT Økonomi