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Consumer Priorities in Online Shopping

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 185))

Abstract

This study examines consumer behavior and priorities in online shopping through the distribution of a questionnaire—subjected to choice-based conjoint analysis—to 1341 Japanese Internet users. It finds that respondents placed a higher priority on the popularity of online shops than on other attributes. Surprisingly, respondents considered postage as a more important criterion than the selling price of goods. Our results show that respondents who made purchases at online shops were tolerant of the postage costs and selling prices of goods but expressed a stronger dislike for the former than did inexperienced respondents. In addition, respondents who had faced problems in online shopping estimated the popularity of online shops lower and tolerated higher selling prices more than the other respondents. These results contribute to the understanding of customers and suggest effective marketing strategies for online shopping.

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References

  1. Gensler, S., Hinz, O., Skiera, B., Theysohn, S.: Willingness-to-pay estimation with choice-based conjoint analysis: addressing extreme response behavior with individually adapted designs. Eur. J. Oper. Res. 219(2), 368–378 (2012)

    Article  Google Scholar 

  2. Chen, Y.H., Hsu, I.C., Lin, C.C.: Website attributes that increase consumer purchase intention: a conjoint analysis. J. Bus. Res. 63(9–10), 1007–1014 (2010)

    Article  Google Scholar 

  3. MacFadden, D.: Conditional logit analysis of qualitative choice behavior. In: Zarembka, P. (ed.) Frontiers in Economics, pp. 105–142. Academic Press, New York (1974)

    Google Scholar 

  4. Revelt, D., Train, K.: Mixed logit with repeated choices: households choices of appliance efficiency level. Rev. Econo. Stat. 80(4), 647–657 (1998)

    Article  Google Scholar 

  5. Train, K.: Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge (2003)

    Book  Google Scholar 

  6. MacFadden, D., Train, K.: Mixed MNL models for discrete response. J. Appl. Econometrics 15(5), 447–470 (2000)

    Article  Google Scholar 

  7. Brownstone, D., Train, K.: Forecasting new product penetration with flexible substitution patterns. J. Econometrics 89(1–2), 109–129 (1999)

    Google Scholar 

  8. Ida, T., Horiguchi, Y.: Consumer benefits of public services over FTTH in Japan: comparative analysis of provincial and Urban areas by using discrete choice experiment. Inf. Soc. 24(1), 1–17 (2008)

    Article  Google Scholar 

  9. Halme, M., Kallio, M.: Estimation methods for choice-based conjoint analysis of consumer preferences. Eur. J. Oper. Res. 214(1), 160–167 (2011)

    Article  Google Scholar 

  10. Hensher, D.A., Rose, J.M., Greene, W.H.: Applied Choice Analysis. Cambridge University Press, Cambridge (2005)

    Book  Google Scholar 

  11. Sattler, H., Hensel-Börner, S.: A comparison of conjoint measurement with self-explicated approaches. In: Gustafsson, A., Herrmann, A., Huber, F. (eds.) Conjoint Measurement, pp. 67–76. Springer, Heidelberg (2010)

    Google Scholar 

  12. Gustafsson, A., Herrmann, A., Huber, F.: Conjoint analysis as an instrument of market research practice. In: Gustafsson, A., Herrmann, A., Huber, F. (eds.) Conjoint Measurement, pp. 3–30. Springer, Heidelberg (2010)

    Google Scholar 

  13. Alfnes, F., Guttormsen, A.G., Kolstad, K.: Consumers’ Willingness to pay for the color of salmon: a choice experiment with real economic incentives. Am. Agricu. Econ. 88(4), 1050–1061 (2006)

    Article  Google Scholar 

  14. Resano, H., Sanjuán, A.I., Albisu, L.M.: Consumers’ response to the EU quality policy allowing for heterogeneous preferences. Food Policy 37(4), 355–365 (2012)

    Article  Google Scholar 

  15. McFadden, D., Train, K.: Mixed MNL models for discrete response. J. Appl. Econ. 15, 447–470 (2000)

    Article  Google Scholar 

  16. Schaupp, L.C., Bélanger, L.: A conjoint analysis of online consumer satisfaction. J. Electron. Commer. Res. 6(2), 95–111 (2005)

    Google Scholar 

  17. Decker, R., Trusov, M.: Estimating aggregate consumer preferences from online product reviews. Int. J. Res. Mark. 27(4), 293–307 (2010)

    Article  Google Scholar 

  18. Shiau, W.L., Luo, M.M.: Factors affecting online group buying intention and satisfaction: a social exchange theory perspective. Comput. Hum. Behav. 28(6), 2431–2444 (2012)

    Article  Google Scholar 

  19. Sher, P.J., Lee, S.H.: Consumer skepticism and online reviews: an elaboration likelihood model perspective. Soc. Behav. Pers. 37(1), 137–144 (2009)

    Article  Google Scholar 

  20. Wittink, D.R., Vriens, M., Burhenne, W.: Commercial use of conjoint analysis in europe: results and critical reflections. Int. J. Res. Mark. 11, 41–52 (1994)

    Article  Google Scholar 

  21. Rao, V.R., Sattler, H.: Measurement of price effects with conjoint analysis: separating informational and allocative effects of price. In: Gustafsson, A., Herrmann, A., Huber, F. (eds.) Conjoint Measurement, pp. 31–46. Springer, Heidelberg (2010)

    Google Scholar 

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Acknowledgments

This research was partially supported by the Ministry of Education, Science, Sports and Culture, Grant-in-Aid for Scientific Research (C), 24530414, 2012.

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Correspondence to Takashi Okamoto .

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Okamoto, T. (2014). Consumer Priorities in Online Shopping. In: Uden, L., Fuenzaliza Oshee, D., Ting, IH., Liberona, D. (eds) Knowledge Management in Organizations. KMO 2014. Lecture Notes in Business Information Processing, vol 185. Springer, Cham. https://doi.org/10.1007/978-3-319-08618-7_37

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  • DOI: https://doi.org/10.1007/978-3-319-08618-7_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08617-0

  • Online ISBN: 978-3-319-08618-7

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