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The optimization and simulation analysis of the enterprise’s decision making system with the interference of the consumption strategy

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Abstract

As for consumer’s strategic behaviors in the marketing sales, this paper improves the cost function and demand function in the Stackelberg dynamic game model, discusses the influence that brought by the parameter change in the model with the numerical simulation and detects the optimal decision methods among enterprises. The research shows that under the Bertrand-Stackelberg game, the time delay will cause the follower enterprise’s commodity lower than that of the leader enterprise, but the discount coefficient has no influence on the leader enterprise’s pricing; under the Stackelberg game, the follower enterprise’s market share will increase remarkably with the expansion of the R&D input scale; moreover, the enterprise’s R&D input scale is positively related to the commodity price, but the follower enterprise’s R&D input scale has negative effect on the leader enterprise’s commodity price.

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References

  1. Amir, R.: Modelling imperfectly appropriable R&D via spillovers. Int. J. Ind. Organ. 18(7), 1013–1032 (2000)

    Article  Google Scholar 

  2. Baines, T.S.A., Lightfoot, H.W.A., Evans, S.A., Neely, A.A., Greenough, R.A., Peppard, J.A., et al.: State-of-the-art in product-service systems. J. Eng. Manuf. 221(10), 1543–1552 (2007)

    Article  Google Scholar 

  3. Ballestin, F., Valls, V., Quintanilla, S.: Scheduling projects with limited number of preemptions. Comput. Oper. Res. 36(11), 2913–2925 (2009)

    Article  MATH  Google Scholar 

  4. Cachon, G., Swinney, R.: Purchasing, pricing, and quick response in the presence of strategic consumers. Manage. Sci. 55(3), 497–511 (2009)

    Article  MATH  Google Scholar 

  5. Chioveanu, I.: Price and quality competition. J. Econ. 107(1), 23–44 (2012)

    Article  MATH  Google Scholar 

  6. Ellis, A.W., Holmes, S.J., Wright, R.L.: Age of acquisition and the recognition of brand names: on the importance of being early. J. Consum. Psychol. 20(1), 43–52 (2010)

    Article  Google Scholar 

  7. Elmaghraby, W., Keskinocak, P.: Dynamic pricing in the presence of inventory considerations: research overview, current practices, and future directions. Manage. Sci. 49(10), 1287–1309 (2003)

    Article  MATH  Google Scholar 

  8. Hellofs, L.L., Jacobson, R.: Market share and customers’ perceptions of quality: when can firms grow their way to higher versus lower quality? J. Mark. 63(1), 16–25 (1999)

    Google Scholar 

  9. Huang, S., Yang, Y., Anderson, K.: A theory of finitely durable goods monopoly with used-goods market and transaction costs. Manage. Sci. 47(11), 1515–1532 (2001)

    Article  MATH  Google Scholar 

  10. Joglekar, N.R., Levesque, M.: Marketing, R&D, and startup valuation. IEEE Trans. Eng. Manage. 56(2), 229–242 (2009)

    Article  Google Scholar 

  11. Karmarkar, U.S., Pitbladdo, R.C.: Quality, class, and competition. Manage. Sci. 43(1), 27–39 (1997)

    Article  MATH  Google Scholar 

  12. Lambertini, L., Orsini, R.: Quality improvement and process innovation in monopoly: a dynamic analysis. Oper. Res. Lett. 43, 370–373 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  13. Levin, Y., Mcgill, J., Nediak, M.: Dynamic pricing in the presence of strategic consumers and oligopolistic competition. Manage. Sci. 57(4), 1737–1751 (2009)

    MATH  Google Scholar 

  14. Levin, Y., Mcgill, J., Nediak, M.: Optimal dynamic pricing of perishable items by a monopolist facing strategic consumers. Prod. Oper. Manag. 19(1), 40–60 (2010)

    Article  Google Scholar 

  15. Li, H., Ji, Y., Gu, X., Qi, G., Tang, R.: Module partition process model and method of integrated service product. Comput. Ind. 63(4), 298–308 (2012)

    Article  Google Scholar 

  16. Liu, Q., Zhang, D.: Dynamic pricing competition with strategic customers under vertical product differentiation. Manage. Sci. 59(1), 84–101 (2013)

    Article  Google Scholar 

  17. Marcus, B., Anderson, C.K.: Revenue management for low-cost providers. Eur. J. Oper. Res. 188(1), 258–272 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  18. Piga, C., Poyago-Theotoky, J.: Endogenous R&D spillovers and locational choice. Reg. Sci. Urban Econ. 35(2), 127–139 (2005)

    Article  Google Scholar 

  19. Reibstein, D.: A broader perspective of network effect. J. Mark. Res. 46(2), 154–156 (2009)

    Google Scholar 

  20. Schmidt, R.C.: On the robustness of the high-quality advantage under vertical differentiation. J. Ind. Compet. Trade 6(3–4), 183–193 (2006)

    Article  Google Scholar 

  21. Xie, G., Yue, W., Wang, S., Lai, K.K.: Quality investment and price decision in a risk-averse supply chain. Eur. J. Oper. Res. 214(2), 403–410 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  22. Yu, M., Debo, L.G., Kapuscinski, R.: Strategic waiting for consumer-generated quality information: dynamic pricing of new experience goods. Manag. Sci. 62(2), 410–435 (2016)

    Article  Google Scholar 

  23. Yue, J., Austin, J., Wang, M., et al.: Coordination of cooperative advertising in a two-level supply chain when manufacturer offers discount. Eur. J. Oper. Res. 168(1), 65–85 (2006)

    Article  MATH  Google Scholar 

  24. Zhang, Z., Joseph, K., Subramaniam, R.: Probabilistic selling in quality-differentiated markets. Manag. Sci. 61(8), 1959–1977 (2015)

    Article  Google Scholar 

  25. Zeithaml, V.A., Berry, L.L.: Communication and control processes in the delivery of service quality. J. Mark. 52(2), 35–48 (1988)

    Article  Google Scholar 

  26. Zeithaml, V.A.: Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. J. Mark. 52(3), 2–22 (1988)

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Science Foundation for Young Scientists of China (71602041).

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Correspondence to Zhao Jian-yu.

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Qi, N., Jian-yu, Z. & Yong-hong, M. The optimization and simulation analysis of the enterprise’s decision making system with the interference of the consumption strategy. Cluster Comput 22 (Suppl 2), 2835–2850 (2019). https://doi.org/10.1007/s10586-017-1600-2

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  • DOI: https://doi.org/10.1007/s10586-017-1600-2

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