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Effect of women’s labor market status on online grocery shopping, the case of Turkey

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Abstract

The rate of Internet purchasing is increasing day by day. One of the reasons of that increase could be individuals’ intention to allocate time effectively in order to maximize their utility function. Within this context, an employed woman would aim to spend less time on household chores such as shopping compared to the ones who are not active in the labor market. When women’s age, education and other demographic characteristics are held constant, being employed for a woman is expected to have a positive effect on the increase of Internet purchases. For this purpose, 2004–2013 Household Information Technologies Use Survey, obtained from Turkish Statistical Institute, has been used to estimate the probability of making online grocery shopping with Heckman’s two step probit methods. According to the findings, being employed has a positive effect on the probability of using Internet and making online grocery shopping. In addition, as education increases, probability of using Internet and probability of making online grocery shopping increases. The probability of using Internet and making online grocery shopping also increases with age but at a decreasing rate. Moreover, while living in urban areas positively affects online grocery shopping, the number of household size has a negative impact.

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Notes

  1. For details please refer to Table 8.

  2. For details please refer to Table 9.

  3. Age2 = age * age.

References

  • Berry, L. L. (1979). The Time-Buying Consumer. Journal of Retailing, 55(Winter), 58–69.

    Google Scholar 

  • Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in household: a baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399–426.

    Google Scholar 

  • Farag, S., Schwanen, T., Dijst, M., Faber, J. (2007). Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping. Transportation Research Part A, 41(2), 125–141.

    Google Scholar 

  • Farag, S., Weltevreden, J., Van Rietbergen, T., Dijst, M., Van Oort, F. (2006). E-shopping in the Netherlands: Does geography matter? Environment and Planning B: Planning and Design, 33(1), 59–74.

    Article  Google Scholar 

  • Ferrell, C. E. (2005). Home-based Teleshopping and Shopping Travel: Where do we Find the Time? Transportation Research Record, 1926, 212–223.

    Article  Google Scholar 

  • FM Institute (2000). The e-Tail Experience: What Grocery Shoppers Think about Online Shopping 2000Executive Summary. http://www.fmi.org/e_business.etailexperience.htm. Accessed 12 Jan 2015.

  • Hagerstrand, T. (1967). Innovation diffusion as a spatial process. Chicago: University of Chicago Press.

    Google Scholar 

  • Hansen, T. (2008). Consumer values, the theory of planned behaviour and online grocery shopping. International Journal of Consumer Studies, 32(2), 128–137.

    Article  Google Scholar 

  • Hiser, J., Rodolfo, M. N., Oral, C. (1999). An exploratory analysis of familiarity and willingness to use online food shopping services in a local area of Texas. Journal of Food Distribution Research, 30(March), 78–90.

    Google Scholar 

  • Li, H., Kuo, C., Rusell, M. G. (1999). The Impact of perceived channel utilities, shopping orientations, and demographics on the consumer’s online buying behavior. Journal of Computer-Mediated Communication, 5(2).

  • Morganosky, M. A., & Cude, B. J. (2000). Consumer response to online grocery shopping. International Journal of Retail & Distribution Management, 28(1), 17–26.

    Article  Google Scholar 

  • Morganosky, M. A., & Cude, B. J. (2001). Consumer responses to online food retailing. Journal of Food Distribution, March, 5–17.

    Google Scholar 

  • Muruganantham, G., Bhakat, R. S., Priyadharshini, K. (2013). Effect of inflation on Indian consumer’s purchase intention. 11th EBES Conference Proceedings, 12–14 September.

  • Naseri, M. B., & Elliott, G. (2011). Role of demographics, social connectedness and prior internet experience in adoption of online shopping: applications for direct marketing. Journal of Targeting, Measurement and Analysis for Marketing, (19), 69–84.

  • Rosenberg, L. J., & Hirschman, E. C. (1980). Retailing without Stores. Harvard Business Review, July–August, 103–112.

    Google Scholar 

  • Van der Laan, J. (2014). Online Grocery Retailing. Retail Economics. http://retaileconomics.com/online-grocery-retailing/. Accessed 13 Jan 2015.

  • Yayar, R., & Sadaklıoğlu, H. (2012). Kamu Çalışanlarının İnternetten Ürün Satın Alma Davranışları Üzerine Bir Araştırma. Business and Economics Research Journal, 3(3), 145–157.

    Google Scholar 

Download references

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Correspondence to Bengi Yanık İlhan.

Appendix

Appendix

See Tables 4, 5, 6, 7, 8, 9, 10 and 11.

Table 4 Internet users by employment
Table 5 Online shopping among internet users by employment
Table 6 Internet users in urban and rural areas by gender
Table 7 Online grocery shopping in urban and rural areas by gender
Table 8 Education level of internet users by gender
Table 9 Education level of online grocery shoppers by gender
Table 10 Coefficient estimates from Heckman models for shopping on internet
Table 11 Coefficient estimates from Heckman models for shopping on internet

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İlhan, B.Y., İşçioğlu, T.E. Effect of women’s labor market status on online grocery shopping, the case of Turkey. Eurasian Bus Rev 5, 371–396 (2015). https://doi.org/10.1007/s40821-015-0029-x

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  • DOI: https://doi.org/10.1007/s40821-015-0029-x

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