Study on the influencing factors of unplanned consumption in a large online promotion activity
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Large online promotion activities are different from traditional online marketing activities. Issues about consumer behavior in large online promotion activities deserve further discussion. Via consumer surveys before and after the “Double 11” promotion on Taobao.com, we studied the unplanned consumption and its influencing factors (promotion, time pressure, social environment (SE), in-store slack) based on the SOR model and theories of self-regulation. The results show that consumers allocate in-store slack in their shopping budget as a strategy of controlling unplanned consumption. Promotion range, preparation time, SE and in-store slack have effects on unplanned consumption. Actual shopping time and preparation time moderate the relationship between in-store slack and unplanned consumption. Actual shopping time attenuates the relationship between in-store slack and unplanned consumption, while preparation time strengthens the relationship between in-store slack and unplanned consumption. Managerial implications are also discussed based on the research.
KeywordsUnplanned consumption “Double 11” promotion SOR model Self-regulation In-store slack
The research was supported by Program for New Century Excellent Talents in University (NCET-11-0597) and Beijing Philosophy and Social Science Planning Project (13KDB011).
- 1.Huang, Y. (2011). From the mind to the feet: The influence of shopper activities on unplanned purchases. Advances in Consumer Research, 39, 134–139.Google Scholar
- 29.Iyer, E. S. (1989). Unplanned purchasing: Knowledge of shopping environment and time pressure. Journal of Retailing, 65(1), 40–57.Google Scholar
- 30.Granbois, D. H. (1968). Improving the study of customer in-store behavior. Journal of Marketing Research, 32(4), 28–33.Google Scholar
- 31.Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. Cambridge, MA: MIT Press.Google Scholar
- 33.Donovan, R. J., & Rossiter, J. R. (1982). Store atmosphere: An environmental psychology approach. Journal of Retailing, 58, 34–57.Google Scholar
- 53.Park, J. E., & Choi, E. J. (2013). Consequences of impulse buying cross-culturally: A qualitative study. International Journal of Software Engineering & Its Applications, 7(1), 147–160.Google Scholar
- 55.Aouinti, N. (2013). Social environment, emotions, and impulse buying: A mediational analysis. Journal of Research in Marketing, 1(2), 55–61.Google Scholar
- 56.Zhang, Z., & Zhuang, G. (2008). A study of consumer impulsive buying based on the view of social influence and Mianzi. Journal of Management Science, 21(6), 66–75.Google Scholar
- 62.Westland, J. C. (2014). Statistical power and sample size in PLS path analysis. Accessed August 29, 2014, from http://ssrn.com/abstract=2488982.
- 63.Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and Interpreting interactions. CA: Sage.Google Scholar