A Study on Effect of Customer’s Demographic Factors on In-Store Experience Perception in Superstores Using Analysis of Variance

  • Abhey Sehrawat
  • Akshit YadavEmail author
  • Hemant Kumar
  • Pankaj Deshwal
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)


This paper brings out the connection between the in-store experience factors (merchandise variety & value, internal shop environment & in-store emotions, interaction with staff and presence of & interaction with other customers) and customer’s demographic specifics which are gender, age, family income, frequency of visit and discovery of store. The questionnaires containing four sections of independent variables with 23 questions in it and a section of demographic details carrying five question were distributed among customers visiting superstores and 220 customer’ s responses were finally used for analysis. The collected data was analyzed using one way ANOVA and finally the result was presented to speculate the research hypothesis. Lastly the analysis confirmed 10 out of 20 posited hypothesis to be valid.


Superstore In-store experience Variables Demographic ANOVA 


  1. 1.
    Dikshit, A.: The uneasy compromise - ındian retail. Wall St. J. (2011)Google Scholar
  2. 2.
    Rani, E.: Supermarkets vs kirana stores. IOSR J. Bus. Manage. (IOSR-JBM) 10(1), 01–07 (2013). e-ISSN: 2278-487X, p-ISSN: 2319-7668MathSciNetCrossRefGoogle Scholar
  3. 3.
    Terblanche, N.S.: Revisiting the supermarket in-store customer shopping experience. J. Retail. Consum. Serv. 40(2018), 48–59 (2017)Google Scholar
  4. 4.
    Marques, S.H., Cardoso, M.M., Palma, A.P.: Environmental factors and satisfaction in a specialty store. Int. Rev. Retail Distrib. Consum. Res. 23(4), 456–474 (2013)CrossRefGoogle Scholar
  5. 5.
    Lichtlé, M.-C., Plichon, V.: Emotions experienced in retail outlets: a proposed measurement scale. Rech. Appl. Mark. 29(1), 3–24 (2014). (Engl. Ed.)Google Scholar
  6. 6.
    Mohan, G., Sivakumaran, B., Sharma, P.: Store environments impact on variety seeking behavior. J. Retail. Consum. Serv. 19(4), 419–428 (2012)CrossRefGoogle Scholar
  7. 7.
    Brown, S.P., Lam, S.K.: A meta-analysis of relationships: linking employee satisfaction to customer responses. J. Retail. 84(3), 243–255 (2008)CrossRefGoogle Scholar
  8. 8.
    López-López, I., Ruiz-de-Maya, S., Warlop, L.: When sharing consumption emotions with strangers is more satisfying than sharing them with friends? J. Serv. Res. 17(4), 1–14 (2014)CrossRefGoogle Scholar
  9. 9.
    Desmet, P.: Designing emotions. Doctoral dissertation, Technische Universiteit Delft, Delft (2002)Google Scholar
  10. 10.
    Petermans, A., Van Cleempoel, K., Nuyts, E., Vanrie, J.: Measuring emotions in customer experiences in retail store environments. Testing the applicability of three emotion measurement ınstruments. In Proceedings of the IASDR, Seoul 2009, Seoul, South-Korea, Kaist (2009)Google Scholar
  11. 11.
    Klaus, P., Maklan, S.: EXQ: a multiple-scale for assessing service experience. J. Serv. Manage. 23(1), 5–33 (2012)CrossRefGoogle Scholar
  12. 12.
    Deshwal, P.: Customer experience quality and demographic variables (age, gender, education level, and family income) in retail stores. Int. J. Retail Distrib. Manage. 44(9), 940–955 (2016)CrossRefGoogle Scholar
  13. 13.
    McGovern, M.: Gender gap: men and women expect different customer experiences (2013). Accessed 8 June 2016
  14. 14.
    Yildirim, K., Cagatay, K., Hidayetoğlu, M.L.: The effect of age, gender and education level on customer evaluations of retail furniture store atmospheric attributes. Int. J. Retail Distrib. Manage. 43(8), 712–726 (2015)CrossRefGoogle Scholar
  15. 15.
    Garg, R., Rahman, Z., Qureshi, M.N.: Measuring customer experience in banks: scale development and validation. J. Model. Manage. 9(1), 87–117 (2014)CrossRefGoogle Scholar
  16. 16.
    Holbrook, M., Schindler, R.: Age, sex, and attitude toward the past as predictors of consumers’ aesthetic tastes for cultural products. J. Mark. Res. 31(3), 412–422 (1994)CrossRefGoogle Scholar
  17. 17.
    Gupta, K.K., Bansal, D.I.: Development of an ınstrument to measure ınternet banking service quality ın India. Int. Refereed Res. J. III(2(2)), 11–25 (2012)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Abhey Sehrawat
    • 1
  • Akshit Yadav
    • 1
    Email author
  • Hemant Kumar
    • 1
  • Pankaj Deshwal
    • 1
  1. 1.Netaji Subhas Institute of TechnologyNew DelhiIndia

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