Skip to main content

Factors Affecting Decision on Mobile Phone Types for Consumer Purchase Based on Discrete Choice Model

  • Conference paper
  • First Online:
Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

Abstract

This paper starts from the purchase of mobile phone, on the basis of effectively collecting and summarizing the large user data of a operator in Xi’an, Shaanxi Province, summarizes the factors that affect the selection behavior of users when their mobile phone is purchased, include the type attributes of mobile phone and individual level attribute of users. Then with the support of Expected Utility Theory and Discrete Choice Model, a Multinomial Logit model is established to explore how these attributes affect the users’ preference of mobile phone type, from the perspective of the mobile phone manufacturers. According to the results of the study, consumers can be roughly classified, and a precision marketing scheme of mobile phone based on operator’s large data can be ultimately provided to the manufacturers, to help them deepen their cognition of the regularity of the consumers’ choice behavior, and identify as well as divide potential customers effectively, provide customized services, precise marketing of new phones, enhance market competitiveness.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. S. Wu, Q. Shi, H. Lu, Review of error structure extension of discrete choice models in travel mode choice. Highway Eng. 32(6), 92–97 (2007) (Chinese)

    Google Scholar 

  2. J.K. Dow, J.W. Endersby, Multinomial probit and multinomial logit: a comparison of choice models for voting research. Elector. Stud. 23(1), 107–122 (2004) (English)

    Article  Google Scholar 

  3. H. Zhou, X. Liao, Study on logit combined forecasting of the market demand. Syst. Eng.-Theory Pract. 23(7), 63–69 (2003) (Chinese)

    Google Scholar 

  4. K. Chen, X. Wang, M. Zhu, The application of logit model to marketing econometric research on consumer’s brand choice of domestic appliances. Commer. Res. 24, 195–199 (2006) (Chinese)

    Google Scholar 

  5. S. Yang, F. Xu, J. Chen, Identification of dynamic loyalty of online consumer brand choice—based on the consumer panel data of a famous E-tailer in China. Ind. Eng. Manag. 14(3), 112–117 (2009) (Chinese)

    Google Scholar 

  6. Z. Hu, F. Huang, X. Lu, P. Zhao, Multinomial logit model in consumer choice: an application in the car purchasing in China. Chin. J. Manag. Sci. 15(z1), 35–40 (2007) (Chinese)

    Google Scholar 

  7. Q. Li, A study on the choice behavior of rural residents to the retail terminal based on logit model—taking Fujian Province as an example. J. Sichuau Univ. Sci. Eng.: Soc. Sci. Ed. 6, 62–65 (2011) (Chinese)

    Google Scholar 

  8. J. Guo, Y. Li, Analysis of customer’s choice preference based on discrete choice model. Technoecon. Manag. Res. 8, 13–16 (2012) (Chinese)

    Google Scholar 

  9. H. Zhang, J. Zhang, J. Cao, C. Liu, C. Shi, Y. Yang, A study on random coefficient logit model about tourists’ destination choice based on their travel motivation. Tour. Tribune 6, 43–47 (2008) (Chinese)

    Google Scholar 

  10. G. Zhai, Y. Cao, Research on the consumer choice of mobile phone brand in China—empirical analysis based on discrete choice model. Modern Bus. Trade Ind. 20(1), 55–56 (2008) (Chinese)

    Google Scholar 

  11. L. Liu, G. Wang, W. Deng, Prediction of mobile users for updating terminal method based on dominance-based rough set approach. J. Chin. Comput. Syst. 36(8), 1789–1794 (2015) (Chinese)

    Google Scholar 

  12. D. Mcfadden, Conditional logit analysis of qualitative choice behavior. Front. Econom. 105–142 (1972) (English)

    Google Scholar 

  13. H. Wang, Q. Sun, K. Hu, Precision marketing model based on technology of signaling big data. J. Beijing Univ. Posts Telecommun. (Soc. Sci. Ed.) 18(4), 70–76, 107 (2016) (Chinese)

    Google Scholar 

  14. H. Chen, Mobile precision marketing era. E-Bus. J. 10, 32–33 (2013) (Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu-meng Yan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yan, Ym., Sun, Xy., Liu, Zx. (2019). Factors Affecting Decision on Mobile Phone Types for Consumer Purchase Based on Discrete Choice Model. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_67

Download citation

Publish with us

Policies and ethics