Abstract
The strategic planning of the megapolis tourism development is the process that has to take into account hundreds of factors. Some of the factors cannot be calculated or do not have statistic history. Some of the factors are latent or incorrect. The long-term strategic planning usually includes a short-term action planning. In this case, experts are creating cognitive models that take into consideration non-formalized cognitive semantics. The modelling shows that small change in resource allocation or some mistakes in decision-making can be the reason not to achieve the goals and can replace the optimistic scenario of tourism development by a pessimistic one. The cognitive models could be improved by mapping on the relevant Big Data. The special author’s approach to make the process of tourism strategic decision-making convergent was applied. This paper addresses the issue of using convergent approach to megapolis tourism development strategic planning with a lot of focus groups and cognitive modelling. The inverse problem solving with genetic algorithm helped to find effective strategic decisions and reduce risks of decision-making. For taking into account non-quantitative factors, it is suggested using networked expertise. The convergent approach with cognitive modelling was applied for creating the megapolis tourism development strategic plan for the megapolis. It helps to find the multiplying events and prioritize strategic directions for tourism development.
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References
UNWTO, http://cooperation.unwto.org/technical-product/tourism-development-master-plans-and-strategic-development-plans. Last accessed 13 Dec 18
Z. Avdeeva, S. Kovriga, Cognitive approach in simulation and control, in Proceedings of the 17th World Congress “The International Federation of Automatic Control”, Seoul, Korea, 6–11 July2008, pp. 1613-1620. https://doi.org/10.3182/20080706-5-kr-1001.00275
A. Raikov, A. Ermakov, A. Merkulov, Self-organizing cognitive model synthesis with deep learning support. Int. J. Eng. Technol. (IJET) 7(2), 168–173 (2018). https://doi.org/10.14419/ijet.v7i2.28.12904. (Special Issue on Computing)
H. Atmanspacher, Quantum approaches to brain and mind. An overview with representative examples, in The Blackwell Companion to Consciousness, ed. by S. Schneider, M. Velmans (Wiley, London, 2017), pp. 298–313. https://doi.org/10.1002/9781119132363.ch21
A. Raikov, Cognitive modelling quality rising by applying quantum and optical semantic approaches, in 18th IFAC Conference on Technology, Culture and International Stability, Baku, Azerbaidschan, 13–15 Sept 2018, pp. 492-497. https://doi.org/10.1016/j.ifacol.2018.11.309 (PapersOnLine 51-30)
A. Raikov, Accelerating technology for self-organising networked democracy. Futures 103, 17–26 (2018). https://doi.org/10.1016/j.futures.2018.03.015
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Real practice implementation and finance support: Boston Consulting Group, Russian Foundation for Basic Research, Grant 18-29-03086.
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Raikov, A. (2020). Megapolis Tourism Development Strategic Planning with Cognitive Modelling Support. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1041. Springer, Singapore. https://doi.org/10.1007/978-981-15-0637-6_12
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DOI: https://doi.org/10.1007/978-981-15-0637-6_12
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