Cluster Computing

, Volume 22, Supplement 6, pp 15379–15385 | Cite as

Product pricing considering the consumer preference based on Internet of Things

  • Xin-yu Pan
  • Jing-zhong Ma
  • Cheng-xia WuEmail author


With the rapid development of information technology, Internet of things is rapidly penetrated into the manufacturing industry, some manufacturers began to adopt the Internet of things technology to produce intelligent products. Focusing on the pricing of products in the home market under the Internet of things technology environment, the network effect and technological innovation are introduced in the condition that consumers’ preferences are evenly distributed and a pricing game model which can reflect the relationship among manufacturers are constructed. On this basis, the optimal subsidy rate of government is designed based on the principle of social welfare maximization. The results show that, with the advantage of low price of ordinary products, the manufacturer 1 (the ordinary household product manufacturer) can also obtain the corresponding market share. The network effect and the degree of product innovation are the important influencing factors for the manufacturer 2 (the intelligent household product manufacturer) to gain the competitive advantage. Increasing the subsidy rate can effectively stimulate the manufacturer 2 to carry out technological innovation, but it will lead to the decline of the total social welfare level.


Internet of things Product pricing Network effect Game model 



This work was financially supported by Humanities and Social Science Project of Hebei education department (No. ZD201721).


  1. 1.
    Zhao, D.Z., Pan, X.Y., Wu, C.X.: Issues and implications of supply chain management based on internet of things. Mod. Manag. 36(1), 118–120 (2016)Google Scholar
  2. 2.
    Pigou, A.C.: The Economics of Walfare, pp. 25–40. Macmillian, London (1952)Google Scholar
  3. 3.
    Hurkens, S., López, Á.L.: Mobile termination, network externalities and consumer expectations. Econ. J. 124(579), 1005–1039 (2014)CrossRefGoogle Scholar
  4. 4.
    Li, X.Z., Wang, Y.: Study on the synergic development mechanism and evaluation of synergic degree of the internet of things industry in china. Soft Sci. 01, 42–46 (2015)Google Scholar
  5. 5.
    Ding, M., Ross Jr., W.T., Rao, V.R.: Price as an indicator of quality: implications for utility and demand functions. J. Retail. 86(1), 69–84 (2010)CrossRefGoogle Scholar
  6. 6.
    Xiao, Y.B., Wu, P., Wang, Y.L.: Pricing strategies for fresh products with multiple quality levels based on customer choice behavior. Chin. J. Manag. Sci. 18(1), 58–63 (2010)Google Scholar
  7. 7.
    Mussa, M., Rosen, S.: Monopoly and product quality. Journal of Economic theory 18(2), 301–317 (1978)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Gu, Y., Wenzel, T.: Transparency, price-dependent demand and product variety. Econ. Lett. 110(3), 216–219 (2011)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Zhao, D.Z., Yuan, B.Y., Xu, C.Q.: Product line pricing based on the unknown consumer low-carbon preference. Syst. Eng. 32(1), 77–81 (2014)Google Scholar
  10. 10.
    Jiang, J.: Do public policies support firm’s innovation—a comparative analysis on the subsidies and tax credit. Sci. Res. Manag. 32(4), 1–8 (2011)Google Scholar
  11. 11.
    Levén, P., Holmström, J., Mathiassen, L.: Managing research and innovation networks: evidence from a government sponsored cross-industry program. Res. Policy 43(1), 156–168 (2014)CrossRefGoogle Scholar
  12. 12.
    Arias, A.D., van Beers, C.: Energy subsidies, structure of electricity prices and technological change of energy use. Energy Econ. 40, 495–502 (2013)CrossRefGoogle Scholar
  13. 13.
    Chen, G.: From mercantile strategy to domestic demand stimulation: changes in China’s solar PV subsidies. Asia Pac. Bus. Rev. 21(1), 96–112 (2015)CrossRefGoogle Scholar
  14. 14.
    Hoernig, S.: Strategic delegation under price competition and network effects. Econ. Lett. 117(2), 487–489 (2012)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Asioli, D., Næs, T., Granli, B.S., et al.: Consumer preferences for iced coffee determined by conjoint analysis: an exploratory study with Norwegian consumers. Int. J. Food Sci. Technol. 49(6), 1565–1571 (2014)CrossRefGoogle Scholar
  16. 16.
    Kobayashi, S.: On a dynamic model of cooperative and noncooperative R and D in oligopoly with spillovers. Dyn. Games Appl. 5(4), 599–619 (2015)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Hotelling: Stability in competition. J. Econ. 39(1), 41–57 (1929)CrossRefGoogle Scholar
  18. 18.
    Mazalov, V., Sakaguchi, M.: Location game on the plane. Int. Game Theory Rev. 5(01), 13–25 (2003)MathSciNetCrossRefGoogle Scholar
  19. 19.
    Sun, C.H.: Spatial Cournot competition in a linear city with directional delivery constraints. Jpn. Econ. Rev. 65(3), 344–374 (2014)MathSciNetCrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Economics and ManagementTangshan UniversityTangshanChina
  2. 2.School of Businesses AdministrationZhengzhou University of AeronauticsZhengzhouChina

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