Nothing Special   »   [go: up one dir, main page]

Skip to main content

Advertisement

Log in

Human–Machine Cloud Decision Support in Tourism

  • Published:
Scientific and Technical Information Processing Aims and scope

Abstract

Modern decision support systems (DSSs) use a broad range of technologies based on data processing by both humans and computers. This article describes a new architectural approach to creating DSSs based on the human–machine cloud concept. This concept combines two different views of decision support in the tourism industry: the standpoint of a tourist and the position of administrative bodies of tourist regions. The article distinguishes standard tasks of decision support in tourism; these tasks are then projected onto a multilevel concept architecture of cloud services. The proposed approach is illustrated based on the example of three scenarios of interaction of services (resources) in solving practical tasks.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. World Tourism Organization: UNWTO Tourism Highlights 2016 Edition. http://cf.cdn.unwto.org/sites/all/ files/pdf/unwto_highlights16_en_hr.pdf. Accessed December 7, 2016.

  2. Berka, T. and Plößnig, M., Designing recommender systems for tourism, in ENTER, Cairo, 2004. http://195.130.87.21:8080/dspace/handle/123456789/583. Accessed December 7, 2016.

    Google Scholar 

  3. Gretzel, U., Intelligent systems in tourism: A social science perspective, Ann. Tourism Res., 2011, vol. 38, no. 3, pp. 757–779.

    Article  Google Scholar 

  4. Buhalis, D., e-Tourism: Information Technology for Strategic Tourism Management, London: Prentice Hall, 2003.

    Google Scholar 

  5. Gretzel, U., Reino, S., Kopera, S., and Koo, C., Smart tourism challenges, J. Tourism, 2015, vol. 16, no. 1, pp. 41–47.

    Google Scholar 

  6. Azhmukhamedov, I.M. and Protalinskii, O.M., Methodology for modelling of weekly formalized socio-technical systems, Iskusstv. Intell. Prinyatie Reshenii, 2014, no. 3, pp. 85–91.

    Google Scholar 

  7. Merlino, G., et al., Mobile crowdsensing as a service: A platform for applications on top of sensing clouds, Future Gener. Comput. Syst., 2016, vol. 56, pp. 623–639.

    Article  Google Scholar 

  8. Dustdar, S. and Bhattacharya, K., The social compute unit, IEEE Internet Comput., 2011, vol. 15, no. 3, pp. 64–69.

    Article  Google Scholar 

  9. Bhat, M.A., Ahmad, B., Shah, R.M., and Bhat, I.R., Cloud computing: A solution to information support systems, Int. J. Comput. Appl., 2010, vol. 11, no. 5, pp. 5–9.

    Google Scholar 

  10. Keenan, P.B., Cloud computing and DSS: The case of spatial DSS, Int. J. Inf. Decis. Sci., 2013, vol. 5, no. 3, pp. 283–294.

    Google Scholar 

  11. Ritchie, J.R. and Crouch, G.I., The Competitive Destination: Sustainable Tourism Perspective, Oxon, UK: CABI Publishing, 2003.

    Book  Google Scholar 

  12. Masron, T., Ismail, N., and Marzuki, A., The conceptual design and application of web-based tourism decision support systems, Theor. Empirical Res. Urban Manage., 2016, vol. 11, no. 2, pp. 64–75.

    Google Scholar 

  13. Smirnov, A.V., Shilov, N.G., Ponomarev, A.V., and Kashevnik, A.M., Group context-aware recommendation systems, Sci. Tech. Inf. Process., 2014, vol. 41, no. 5, pp. 325–334.

    Article  Google Scholar 

  14. Baggio, R. and Caporarello, L., Decision support systems in a tourism destination: Literature survey and model building, Proceedings of the 2nd Conference of the Italian Chapter of AIS (Association of Information Systems), 2005. http://www.iby.it/turismo/papers/baggiodss- tourism.pdf. Accessed December 7, 2016.

    Google Scholar 

  15. Ritchie, R.J.B. and Ritchie, J.R.B., A framework for an industry supported destination marketing information system, Tourism Manage., 2002, vol. 23, pp. 439–454.

    Article  Google Scholar 

  16. Zhang, H., Computational environment design, PhD Thesis, Harvard University, 2012.

    Google Scholar 

  17. Mell, P. and Grance, T., The NIST Definition of Cloud Computing. Recommendations of the National Institute of Standards and Technology. NIST Special Publication, 2011, pp. 80–145.

    Google Scholar 

  18. Formisano, C. et al., The advantages of IoT and cloud applied to smart cities, 3rd International Conference Future Internet of Things and Cloud, 2015, pp. 325–332.

    Google Scholar 

  19. Ahmad, S., et al., The jabberwocky programming environment for structured social computing, Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology—UIST’11, 2011, pp. 53–64.

    Google Scholar 

  20. Phuttharak, J. and Loke, S.W., LogicCrowd: A declarative programming platform for mobile crowdsourcing, Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013, pp. 1323–1330.

    Google Scholar 

  21. Scekic, O., Truong, H.-L., and Dustdar, S., Incentives and rewarding in social computing, Commun. ACM, 2013, vol. 56, no. 6, pp. 72–82.

    Article  Google Scholar 

  22. Maione, I., Crowdsourcing Applications for Online Tourism Portals, 2014. http://www.crowdsourcing. org/editorial/crowdsourcing-applications-foronline- tourism-portals/31290. Accessed June 10, 2016.

    Google Scholar 

  23. Little, G., Chilton, L.B., Goldman, M., and Miller, R.C., Exploring iterative and parallel human computation processes, Proceedings of the ACM SIGKDD Workshop on Human Computation HCOMP’10, 2010, pp. 68–76.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to A. V. Smirnov, A. V. Ponomarev, T. V. Levashova or N. N. Teslya.

Additional information

Original Russian Text © A.V. Smirnov, A.V. Ponomarev, T.V. Levashova, N.N. Teslya, 2017, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2017, No. 2, pp. 90–102.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Smirnov, A.V., Ponomarev, A.V., Levashova, T.V. et al. Human–Machine Cloud Decision Support in Tourism. Sci. Tech. Inf. Proc. 45, 352–359 (2018). https://doi.org/10.3103/S0147688218050076

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0147688218050076

Keywords

Navigation