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A multilevel latent class analysis of the purchasing channels among European consumers

Author

Listed:
  • Chiara Dal Bianco

    (Ca’ Foscari University of Venice)

  • Omar Paccagnella

    (University of Padua)

  • Roberta Varriale

    (ISTAT-Italian National Statistical Institute)

Abstract

This work aims at investigating similarities and differences in the ways of purchasing goods and services by European citizens—in particular the consumer behaviour on the preferred purchasing channels among web, phone, mail and sales representatives—by exploiting data collected through the Eurobarometer 69.1 survey in 2008. To this aim, we adopt a multilevel latent class solution, which allows to simultaneously cluster individuals and countries. The overall result is that most countries can be grouped in classes that follow a geographical division, while European citizens can be divided in classes with some specific profiles: a large proportion of consumers have not confidence with alternative purchasing channels yet, particularly among older respondents; most consumers still prefer to buy from sellers or providers located in their own country; more educated individuals show a widespread use of the web; a class of potential purchasers may be determined, particularly among younger people.

Suggested Citation

  • Chiara Dal Bianco & Omar Paccagnella & Roberta Varriale, 2016. "A multilevel latent class analysis of the purchasing channels among European consumers," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 293-309, December.
    • Handle: RePEc:spr:metron:v:74:y:2016:i:3:d:10.1007_s40300-016-0100-0
    DOI: 10.1007/s40300-016-0100-0
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    References listed on IDEAS

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    1. Bartolucci, Francesco & Bacci, Silvia & Gnaldi, Michela, 2014. "MultiLCIRT: An R package for multidimensional latent class item response models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 971-985.
    2. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "A latent class segmentation analysis of e-shoppers," Journal of Business Research, Elsevier, vol. 57(7), pages 758-767, July.
    3. Formann, Anton K., 2007. "Mixture analysis of multivariate categorical data with covariates and missing entries," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5236-5246, July.
    4. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    5. Bijmolt, T.H.A. & Paas, L.J. & Vermunt, J.K., 2004. "Country and consumer segmentation : Multi-level latent class analysis of financial product ownership," Other publications TiSEM fb506162-d125-4091-9083-9, Tilburg University, School of Economics and Management.
    6. Vermunt, Jeroen K. & Magidson, Jay, 2003. "Latent class models for classification," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 531-537, January.
    7. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2007. "Consumer confidence in Europe : United in diversity," Other publications TiSEM ea8c3268-2c0b-4fcc-9d4a-6, Tilburg University, School of Economics and Management.
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