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Dynamic analysis of a \(\pmb {SI_{1}I_{2}AD}\) information dissemination model considering the word of mouth

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Abstract

Word of mouth(WOM) communication, that is, the dissemination of information about consumers’ experiences of use, has many implications for consumer attitudes. Based on this, we proposed a \(SI_{1}I_{2}AD\) (Susceptible-Infected1-Infected2-Agreeable-Disagreeable) model to analyze the influence of access to two information channels on consumers’ purchase choices. First, the fundamental regeneration number \(R_{0}\) and the three equilibrium points are solved according to the stability theory of ordinary differential equations. Then, the local asymptotic stability of the equilibrium points is proved. Finally, the effects of traditional WOM and Internet word of mouth (IWOM) on purchase decisions are quantitatively analyzed based on numerical simulations. Thereby, relevant suggestions are given for product marketing.

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References

  1. Ellison, G., Fudenberg, D.: Word-of-mouth communication and social learning. Economics 110, 93–125 (1995)

    Google Scholar 

  2. Riegner, C.: Word of mouth on the web: The impact of web 2.0 on consumer purchase decisions. J. Advert. Res. JAR 47, 436–447 (2007)

  3. Illner, R., Ma, J.: An sis-type marketing model on random networks. Commun. Math. Sci. 14, 1723–1740 (2016)

    Article  MathSciNet  Google Scholar 

  4. Nurgiyantoro, S.: The influence of promotional strategies through social media on product purchase decisions mediated by word of mouth marketing. Arkus 7, 125–129 (2021)

    Article  Google Scholar 

  5. Duhan, D., Johnson, S., Wilcox, J., Harrell, G.: Influences on consumer use of word-of-mouth recommendation sources. J. Acad. Mark. Sci. 25, 283–295 (1997)

    Article  Google Scholar 

  6. Kokila, V., Sampathlakshmi, N.: Impact of word of mouth communication on consumer purchase decision. J. Bus. Thought. 13, 95–104 (2022)

    Article  Google Scholar 

  7. Ngoc Khuong, M., Phuong, N.: The effects of destination image, perceived value, and service quality on tourist satisfaction and word-of-mouth - a study in ho chi minh city, vietnam. Int. J. Trade Econ. Financ. 8, 217–224 (2017)

    Article  Google Scholar 

  8. Jalilvand, M.R., Esfahani, S., Samiei, N.: Electronic word-of-mouth: challenges and opportunities. Procedia CS 3, 42–46 (2011)

    Google Scholar 

  9. Soteriades, M., Van Zyl, C.: electronic world-of-mouth and online reviews in tourism services: the use of twitter by tourists. J. Electron. Commer. Res. 13, 103–124 (2013)

    Article  Google Scholar 

  10. Eisingerich, A., Chun, H., Liu, Y., Jia, M.H., Bell, S.: Why recommend a brand face-to-face but not on facebook? how word-of-mouth on online social sites differs from traditional word-of-mouth. J. Consum. Psychol. 25, 120–128 (2015)

    Article  Google Scholar 

  11. Montazemi, A., Qahri Saremi, H.: The Effectiveness of Electronic Word of Mouth on Consumers’ Perceptions of Adopting Products/Services - A Literature Review. In: Proceedings of the 10th International Conference on Web Information Systems and Technologies-Volume 2: WEBIST; ISBN 978-989-758-023-9; ISSN 2184-3252, SciTePress, pp. 324–331. (2014). https://doi.org/10.5220/0004850603240331.

  12. Bass, F.: A new product growth for model consumer durables. Manage. Sci. 50, 1825–1832 (2004)

    Article  Google Scholar 

  13. li, S., Jin, Z.: Global dynamics analysis of homogeneous new products diffusion model. Discret. Dyn. Nat. Soc. 2013, 1–6 (2013)

    MathSciNet  Google Scholar 

  14. Mellor, A., Mobilia, M., Redner, S., Rucklidge, A.M., Ward, J.A.: Influence of luddism on innovation diffusion. Phys. Rev. E 92, 012806 (2015)

  15. Han D, S.M.: An evolutionary vaccination game in the modified activity driven network by considering the closeness. Phys. A 50, 49–57 (2016)

    Article  Google Scholar 

  16. Manshour, P., Montakhab, A.: Contagion spreading on complex networks with local deterministic dynamics. Commun. Nonlinear Sci. Numer. Simul. 19, 2414–2422 (2013)

    Article  Google Scholar 

  17. Rodrigues, H., Fonseca, M.: Can information be spread as a virus? Viral marketing as epidemiological model. Math. Methods Appl. Sci. 39, 4780–4786 (2016)

    Article  MathSciNet  Google Scholar 

  18. Fibich, G.: Bass-sir model for diffusion of new products in social networks. Phys. Rev. E 94, 032305 (2016)

    Article  MathSciNet  Google Scholar 

  19. Mieghem, P., Omic, J., Kooij, R.: Virus spread in networks. Network. IEEE/ACM Trans. 17, 1–14 (2009)

    Article  Google Scholar 

  20. Jiang, P., Yan, X., Wang, L.: A viral product diffusion model to forecast the market performance of products. Discret. Dyn. Nat. Soc. 2017, 1–10 (2017)

    Article  MathSciNet  Google Scholar 

  21. Liu, W., Li, T., Xiongding, L., Xu, H.: Spreading dynamics of a word-of-mouth model on scale-free networks. IEEE Access 44, 1–1 (2018)

    Google Scholar 

  22. Farman, M., Ahmad, A., Akgül, A., Saleem, M.U., Nisar, K., Vijayakumar, V.: Dynamical behavior of tumor-immune system with fractal-fractional operator. AIMS Math. 7, 8751–8773 (2022). https://doi.org/10.3934/math.2022489

    Article  MathSciNet  Google Scholar 

  23. Yao, S.W., Farman, M., Amin, M., Inc, M., Akgül, A., Ahmad, A.: Fractional order covid-19 model with transmission rout infected through environment. AIMS Math. 7(4), 5156–5174 (2022). https://doi.org/10.3934/math.2022288

    Article  MathSciNet  Google Scholar 

  24. Farman, M., Akgül, A., Fahad Aldosary, S., Nisar, K., Ahmad, A.: Fractional order model for complex Layla and Majnun love story with chaotic behaviour. Alex. Eng. J. (2021). https://doi.org/10.1016/j.aej.2021.12.018

    Article  Google Scholar 

  25. Farman, M., Akgül, A., Tekin, M., Akram, M.M., Ahmad, A., Mahmoud, E., Yahia, I.S.: Fractal fractional-order derivative for hiv/aids model with mittag-leffler kernel. Alex. Eng. J. 61, 10965–10980 (2022). https://doi.org/10.1016/j.aej.2022.04.030

  26. Dreessche, P., Watmough, J.: Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 180, 29–48 (2002)

    Article  MathSciNet  Google Scholar 

  27. Miller, J.: A note on a paper by erik volz: Sir dynamics in random networks. Math. Biol. 62, 349–358 (2011). https://doi.org/10.1007/s00285-010-0337-9

    Article  MathSciNet  Google Scholar 

  28. Dreessche, P., Watmough, J.: Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biol. 180(1–2), 29–48 (2002). https://doi.org/10.1016/S0025-5564(02)00108-6

    Article  MathSciNet  Google Scholar 

  29. Anagnost, J.J., Desoer, C.A.: An elementary proof of the Routh-Hurwitz stability criterion. Circ. Syst. Signal Process. 10, 101–114 (1991). https://doi.org/10.1007/BF01183243

    Article  MathSciNet  Google Scholar 

  30. LaSalle, J.: The Stability of Dynamical Systems. SIAM, Philadelphia (1976). https://doi.org/10.1137/1.9781611970432

  31. Yu, Y., Liu, J., Ren, J., Xiao, C.: Stability analysis and optimal control of a rumor propagation model based on two communication modes: friends and marketing account pushing. Math. Biosci. Eng. 19, 4407–4428 (2022)

    Article  MathSciNet  Google Scholar 

  32. Pan, W., Yan, W., Hu, Y., He, R., Wu, L.B.: Dynamic analysis of a sidrw rumor propagation model considering the effect of media reports and rumor refuters. Nonlinear Dynamics 111, 1–12 (2022)

    Google Scholar 

  33. Kang, S., Hou, X., Hu, Y., Liu, H.: Dynamical analysis and optimal control of the developed information transmission model. PLoS ONE 17, e0268326 (2022)

    Article  Google Scholar 

  34. Chitnis, N., Hyman, J.M., Cushing, J.M.: Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model. Bull. Math. Biol. 70(5), 1272–1296 (2008)

    Article  MathSciNet  Google Scholar 

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Acknowledgements

We thank the anonymous Editors and Reviewers warm work earnestly. This work was supported by the Social Science Planning Fund of Liaoning Province China(No. L22AGL015), the Natural Science Foundation of Liaoning Science and Technology Agency of China(No.2022-MS-356).

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Correspondence to Yuhan Hu.

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Qiao, R., Hu, Y. Dynamic analysis of a \(\pmb {SI_{1}I_{2}AD}\) information dissemination model considering the word of mouth. Nonlinear Dyn 111, 22763–22780 (2023). https://doi.org/10.1007/s11071-023-09021-5

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