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An exploratory investigation into how socioeconomic attributes influence coupons redeeming intentions

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  • Barat, Somjit
  • Amos, Clinton
  • Paswan, Audhesh
  • Holmes, Gary

Abstract

In this study, we examine the effects that opportunity cost, income effect, coupon proneness and devaluation effect have on coupon redemption intention. Overall, the results of a survey received from approximately 2250 respondents suggest that prospect of savings and coupon proneness are positively associated, while opportunity cost is inversely associated with coupon redemption intention. The results are consistent across several sub-samples of grocery stores, which further underline the robustness of our hypotheses. Our analyses are more exhaustive than and therefore, contribute to, extant literature on promotions using coupons, because we base our study on behavioral, social and economic factors that influence coupon redemption intentions.

Suggested Citation

  • Barat, Somjit & Amos, Clinton & Paswan, Audhesh & Holmes, Gary, 2013. "An exploratory investigation into how socioeconomic attributes influence coupons redeeming intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 240-247.
    • Handle: RePEc:eee:joreco:v:20:y:2013:i:2:p:240-247
    DOI: 10.1016/j.jretconser.2013.01.004
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    References listed on IDEAS

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    Cited by:

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    2. Ieva, M. & De Canio, F. & Ziliani, C., 2018. "Daily deal shoppers: What drives social couponing?," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 299-303.
    3. Zhang, Hongchao & Yu, Yu & Qin, Yinggao, 2023. "The effects of constrained mobile coupons in the mobile channel," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Chen, Lijun & Parcell, Joe L & Chen, Chao & James, Harvey S. Jr & Xu, Danning, 2016. "Consumer preference for supermarket food sampling in China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236043, Agricultural and Applied Economics Association.
    5. Zhong, Yongping & Oh, Segu & Moon, Hee Cheol, 2021. "Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model," Technology in Society, Elsevier, vol. 64(C).

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