N. Sagalakova, PhD in Economics, Associate Professor Kyiv National University of Trade and Economics, Kyiv, Ukraine TARGET CONTROLLING METHOD OF THE PRICING PROCESS IN THE TOURISM ENTERPRISES

Key stages of the pricing process in the tourism enterprises are investigated: subprocess of establishing of nominal value of the new tourism product price and subprocess of adjustment of the established price depending on a situation in the tourism market. For establishing of nominal value of the price it is offered by use of optimizing model, which maximizes the usefulness function of structural parts of the tourism product price. For adjustment of the tourism product price under change of external conditions procedure of installation of the target with use of the process behavior charts of the pricing process is applied.

The new methodology of the pricing process controlling in the tourism enterprises, which based on complex application of methods of the statistical processes control and a method of dynamic programming, is presented in article and fully considers one of key features of the tourism sphere – seasonal fluctuations of the tourism product price.

Keywords: tourism product; pricing process; process target; process behavior chart; method of dynamic programming.

Date of submission 04.01.2016

DOI: http://dx.doi.org/10.17721/1728-2667.2016/179-2/5


  1. Bansal, S. P. (2003). Tourism development and its impact. Tourism Recreation Research, 28 (2), 94.
  2. Baum, T. & Lundtorp. S. (2001).  Seasonality in tourism.Oxford: Elsevier Science. DOI: http://dx.doi.org/10.1002/jtr.408.
  3. Bellman, R. E, & Dreyfus, S. E. (1965). Applied dynamic programming. J.: Princeton University Press.
  4. Bertsekas, D. P. (1995). Dynamic Programming and Optimal Control. Belmont: Athena.
  5. Butler, R. (1998). Seasonality in tourism: Issues and implications. The Tourist Review,53 (3), 18-24. DOI: http://dx.doi.org/10.1108/eb058278.
  6. Cai, G., Zhang, Z. G., & Zhang, M. (2009). Game theoretical perspectives on dualchannel supply chain competition with price discounts and pricing schemes. International Journal of Production Economics, 117 (1), 80-96. DOI: http://dx.doi.org/10.1016Zj.ijpe.2008.08.053.
  7. Collins, M., & Parsa, H. G. (2006). Pricing strategies to maximize revenues in the lodging industry. International Journal of Hospitality Management, 25 (1), 91-107.
  8. Cuccia, T., & Rizzo, I. (2011). Tourism seasonality in cultural destinations: Empirical evidence from Sicily. Tourism Management,32 (3), 589-595. DOI: http://dx.doi.org/10.1016/j.tourman.2010.05.008.
  9. Cvitanic, J., Possamai, D., & Touzi, N. (2015). Dynamic programming approach to principal-agent problems. Optimi­zation and Control, arXiv:1510.07111.
  10. Darestani, S. A., & Nasiri, M. (2016). Statistical process control. International Journal of Quality & Reliability Man­agement, 33 (1), 2-24. DOI: http://dx.doi.org/10.1108/IJQRM-08-2013-0130.
  11. Denardo, E. (1982). Dynamic Programming – Models & Applications. Prentice-Hall: Hemel Hempstead.
  12. Guo, X., & He, L. (2012). Tourism supply-chain coordination: The cooperation between tourism hotel and tour opera­tor. Tourism Economics, 18 (6), 1361-1376. DOI: http://dx.doi.org/10.5367/te.2012.0179.
  13. Guo, X., Ling, L., Dong, Y., & Liang, L. (2013). Cooperation contract in tourism supply chains: the optimal pricing strategy of hotels for cooperative third party strategic websites. Annals of Tourism Research, 41, 20-41. DOI: http://dx.doi.org/10.1016/j.annals.2012.11.009.
  14. He, Y., Zhao, X., Zhao, L., & He, J. (2009). Coordinating a supply chain with effort and price dependent stochastic demand. Applied Mathematical Modelling, 33 (6), 2777-2790.
  15. Kamra, Krishan K. (2006). Economics of tourism: Pricing, impacts and forecasting.New Delhi: Kanishka Publishers, Distributors.
  16. Keane, M. J. (1997). Quality and pricing tourism in destinations. Annals of Tourism Research, 24 (1), 117-130.
  17. Kim, J., Bojanic, D. C., & Warnick, R. B. (2009). Price bundling and travel product pricing practices used by online channels of distribution. Journal of Travel Research, 47 (4), 403-412.
  18. Lim, S. A. H., Antony, J., & Albliwi, S. (2014). Statistical Process Control (SPC) in the Food Industry. A Systematic Review and Future Research Agenda. Trends in Food Science & Technology. DOI: http://dx.doi.org/10.1016/tifs.2014.03.010.
  19. MacGregor, J. F., & Kourtl, T. (1995). Statistical process control of multivariate processes. Control Eng. Practice, 3 (3), 403-414.
  20. McMahon-Beattie, U., & Yeoman, I. (2004). Revenue Management and Pricing: Case Studies and Applications, Cengage Learning EMEA.
  21. Meidan, A., Witt, S., & Moutinho, L. (1989). Pricing in tourism. Tourism marketing and management handbook, 305-309.
  22. Van der Rest, J.-P. I., & Harris, P. J. (2008). Optimal imperfect pricing decision making: Modifying and applying Nash’s rule in a service sector context. International Journal of Hospitality Management, 27 (2), 170-178.
  23. Wheeler, D. J. (1995). Advanced Topics in Statistical Process Control. The Power of Shewhart’s Charts.SPC Press, Knoxville, Tennessee.
  24. Wheeler, D. J., Chambers D. S. (2009) Understanding Statistical Process Control.SPC Press, Knoxville, Tennessee.
  25. Ziegel, E. R. (1993). Understanding Statistical Process Control, Technometrics, 35 (1), 101-102. DOI: http://dx.doi.org/10.1080/00401706.1993.10485025.


  • pdf 179_5
    File size: 720 kB Downloads: 61