Effect of Gender, Age, and Marital Status of Grocery Consumers on Their Perceived Retail Store Image : A Study of Organized Grocery Market in India

Authors

  •   Parmod Assistant Professor, Haryana School of Business, Guru Jambheshwar University of Science & Technology, Hisar - 125 001, Haryana
  •   Usha Arora Professor, Haryana School of Business, Guru Jambheshwar University of Science & Technology, Hisar - 125 001, Haryana

DOI:

https://doi.org/10.17010/ijom/2021/v51/i4/158471

Keywords:

Store Image

, Perception, Consumer Behavior, Groceries, Organized Retail, Indian Retail.

Paper Submission Date

, March 11, 2020, Paper Sent Back for Revision, December 20, Paper Acceptance Date, February 4, 2021, Paper Published Online, April 10, 2021.

Abstract

The retail industry is changing with an unprecedented pace. Specifically, in developing countries like India, this change is disrupting the landscape of the retail sector with an intensity never seen before. To get an edge over competitors and to perform in a better way, it will be critical for retailers to understand the retail store attributes which attract the consumers and keep them coming back. To obtain a comprehensive understanding of grocery consumers’ perceived retail store image across various demographic groups in context of India was the basic purpose of this paper. For this, a survey of grocery consumers, who visited organized grocery stores to purchase groceries at least once in a month, was conducted. Initially, 500 consumers were approached to fill a standardized questionnaire, and 469 questionnaires complete in all manners were used for the final analysis. The factor analysis resulted in nine major dimensions of store image construct. Furthermore, with the help of ANOVA and t - statistics, it was tested if the demographic factors like age, gender, and marital status significantly affected the perceived store image of grocery consumers. In this study, significant differences emerged in consumers’ perception of store image dimensions based on age and marital status. In case of gender, no significant difference was observed on any store image dimension. The findings of this study would lead to an improved understanding of the linkage between grocery consumers’ demographic attributes and their perceived level of store image in the context of a developing country.

Downloads

Download data is not yet available.

Author Biographies

Parmod, Assistant Professor, Haryana School of Business, Guru Jambheshwar University of Science & Technology, Hisar - 125 001, Haryana

ORCID iD: https://orcid.org/0000-0002-7624-9705

Usha Arora, Professor, Haryana School of Business, Guru Jambheshwar University of Science & Technology, Hisar - 125 001, Haryana

ORCID iD : https://orcid.org/0000-0001-8246-7269

Downloads

Published

2021-04-30

How to Cite

Parmod, & Arora, U. (2021). Effect of Gender, Age, and Marital Status of Grocery Consumers on Their Perceived Retail Store Image : A Study of Organized Grocery Market in India. Indian Journal of Marketing, 51(4), 58–71. https://doi.org/10.17010/ijom/2021/v51/i4/158471

Issue

Section

Articles

References

AT Kearney. (2017). The age of focus : The 2017 Global Retail Development Index (Research report). https://www.kearney.com/global-retail-development-index/article/?/a/the-age-of-focus-2017-full-study

AT Kearney. (2018). Learning from the East–Insights from China’s urban success (2018 Global Cities Report). https://www.kearney.com/documents/20152/1136372/2018+Global+Cities+Report.pdf/21839da3-223b-8cec-a8d2-408285d4bb7c

Baltas, G., & Papastathopoulou, P. (2003). Shopper characteristics, product and store choice criteria : A survey in the Greek grocery sector. International Journal of Retail and Distribution Management, 31(10), 498–507. http://dx.doi.org/10.1108/09590550310497021

Bloemer, J., & Ruyter, K. (1998). On the relationship between store image, store satisfaction, and store loyalty. European Journal of Retailing, 32(5/6), 499–513. https://doi.org/10.1108/03090569810216118

Carpenter, J. M., & Balija, V. (2010). Retail format choice in the US consumer electronics market. International Journal of Retail & Distribution Management, 38(4), 258–274. http://dx.doi.org/10.1108/09590551011032081

Carpenter, J.M., & Moore, M. (2006). Consumer demographics, store attributes, and retail format choice in the US grocery market. International Journal of Retail & Distribution Management, 34(6), 434–452. http://dx.doi.org/10.1108/09590550610667038

Doyle, P., & Fenwick, I. (1974). How store image affects shopping habits in grocery chains. Journal of Retailing, 50(4), 39–52.

Gehrt, K. C., & Yan, R. - N. (2004). Situational, consumer, and retailer factors affecting Internet, catalog, and store. International Journal of Retail & Distribution Management, 32(1),5–18. http://dx.doi.org/10.1108/09590550410515515

Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis : A global perspective (Vol. 7). Pearson.

Helgesen, Y., & Nessest, E. (2010). Gender, store satisfaction and antecedents: A case study of a grocery store. Journal of Consumer Marketing, 27(2), 114 –126. http://dx.doi.org/10.1108/07363761011027222

India Brand Equity Foundation. (July, 2018). Indian retail industry analysis. https://www.ibef.org/archives/industry/indian-retail-industry-analysis-reports/indian-retail-industry-analysis-june-2018

Jayasankara Prasad, C., & Aryasri, A. R. (2011). Effect of shopper attributes on retail format choice behavior for food and grocery retailing in India. International Journal of Retail & Distribution Management, 39(1), 68–86. http://dx.doi.org/10.1108/09590551111104486

Jayawardhena, C., Wright, L. T., & Dennis, C. (2007). Consumers online: Intentions, orientations and segmentation. International Journal of Retail & Distribution Management, 35(6), 515–526. https://doi.org/10.1108/09590550710750377

Khare, A. (2012). Moderating effect of age and gender on consumer style inventory in predicting Indian customers’ local retailer loyalty. The International Review of Retail, Distribution and Consumer Research, 22(2), 223–239. https://doi.org/10.1080/09593969.2011.652644

Krishnamurti, S., & Gupta, B. (2017). Changing consumer behavior paradigms : Does gender and marital status influence grocery shopping behavior ? An exploratory study. Indian Journal of Marketing, 47(10), 7–18. https://doi.org/10.17010/ijom/2017/v47/i10/118693

Kumar, A., Gupta, S. L., & Kishor, N. (2016). The antecedents of customer loyalty: Attitudinal and behavioral perspectives based on Oliver's loyalty model. Indian Journal of Marketing, 46(3), 31–53. https://doi.org/10.17010/ijom/2016/v46/i3/88996

Lindquist, J. D. (1974). Meaning of image : A survey of empirical and hypothetical evidence. Journal of Retailing, 50(4), 29–38.

Martineau, P. (1958). The personality of the retail store. Harvard Business Review, 36, 47–55.

Prasad, S., & Sharma, M. (2016). Demographic and socioeconomic influences shaping usage of online channel for purchase of food & grocer y. Indian Journal of Marketing, 46(10), 7–21. https://doi.org/10.17010/ijom/2016/v46/i10/102851

Saleem, M.A., Wasaya, A., & Zahra, S. (2017). Determinants of frozen food purchase intentions : Insights from a developing country. Indian Journal of Marketing, 47(7), 47–59. https://doi.org/10.17010/ijom/2017/v47/i7/116476

Sinha, P. K., Banerjee, A., & Uniyal, D. P. (2002). Deciding where to buy : Store choice behaviour of Indian shoppers.

Vikalpa, 27(2), 13–28. https://doi.org/10.1177%2F0256090920020203

Uusitalo, O. (2001). Consumer perceptions of grocery retail formats and brands. International Journal of Retail & Distribution Management, 29(5), 214–225. https://doi.org/10.1108/09590550110390995

Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions : Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41–48. https://doi.org/10.1057/palgrave.ejis.3000445

World Bank Group. (2018). Doing business 2018: Reforming to create jobs. http://hdl.handle.net/10986/28608