Factors Influencing Women’s Buying Decisions while Shopping for Lingerie Products Online

Authors

  • Dibyendu Bikash Datta National Institute of Fashion Technology (Ministry of Textiles, Govt. of India), Kolkata 700106, India Author https://orcid.org/0000-0003-0028-5571
  • Partha Seal National Institute of Fashion Technology (Ministry of Textiles, Govt. of India), Kolkata 700106, India Author
  • Sanjana Mariam George National Institute of Fashion Technology (Ministry of Textiles, Govt. of India), Kolkata 700106, India Author
  • Senjuti Roy National Institute of Fashion Technology (Ministry of Textiles, Govt. of India), Kolkata 700106, India Author

DOI:

https://doi.org/10.14502/tekstilec.65.2021048

Keywords:

buying decisions, online shopping, lingerie, quality, variety, discounts

Abstract

One reason driving lingerie sales in India is growing e-commerce and a rising demand for premium brands. With improved technologies, many lingerie producers are using delicate fabrics and intricate lace trimmings for lingerie of different styles to enhance lingerie demand in the country. Rising demand for lingerie sets, a growing middle-class population, and an increasing number of financially independent women are all driving this development. Many professional opportunities for women, and their access to round-the-clock internet services, have enabled them to gain trust, feel inspired, and be praised for their ability to decide. Their familiarity with technological advances like internet access via smart phones has enabled the Indian lingerie industry to shift their focus from an earlier marketing strategy of “touch and feel,” being available only in retail stores, to going online and taking the additional risk of advertising their product line on e-commerce platforms. This study found factors that influence women’s buying decisions while shopping online for lingerie products. Questionnaires were distributed to Indian women consumers to gauge their online buying intentions and multiple linear regressions were used as a statistical method to evaluate the formed hypotheses. The study revealed that convenience of shopping, variety of brands, quality of products, online discounts, delivery services and secure online payment have a positive impact on the buying decisions of Indian women regarding lingerie products. The research findings will serve as a baseline for understanding the major aspects that influence retailers’ online lingerie buying decisions.

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References

. GUGNANI, A., BRAHMA, K. Growing potential of innerwear market in India [online]. IndiaRetailing [accessed 16 May 2021]. Available on World Wide Web: https://www.indiaretailing.com/2018/09/19/fashion.

. DORAI, S., BALASUBRAMANIAN, N., SIVAKUMARAN, B. Enhancing relationships in e-tail: role of relationship quality and duration. Journal of Retailing and Consumer Services, 2021, 58, 1–14, doi: 10.1016/j.jretconser.2020.102293. DOI: https://doi.org/10.1016/j.jretconser.2020.102293

. SHANKAR, V., SMITH, A. K., RANGASWAMY, A. Customer satisfaction and loyalty in online and offline environments. International Journal of Research in Marketing, 2003, 20(2), 153–175, doi: 10.1016/S0167-8116(03)00016-8. DOI: https://doi.org/10.1016/S0167-8116(03)00016-8

. LIMAYEM, M., KHALIFA, M., FRINI, A. What makes consumers buy from Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 2000, 30(4), 421–432, doi: 10.1109/3468.852436. DOI: https://doi.org/10.1109/3468.852436

. HIRST, A., OMAR, O.E. Assessing women's apparel shopping behaviour on the internet. The Journal of Retail Marketing Management Research, 2007, 1(1), 32–40.

. JAIN, R. Online spending dynamics of working women professionals in Bangalore city. Indian Journal of Applied Research, 2014, 4(12), 320–323.

. SINGH, P. Consumer’s buying behaviour towards online shopping. National Monthly Refereed Journal of Research in Commerce and Management, 2014, 3, 27–34.

. RITA, P., OLIVEIRA, T., FARISA, A. The impact of e-service quality and customer satisfaction on customer behaviour in online shopping. Heliyon, 2019, 5(10), 1–14, doi: 10.1016/j.heliyon.2019.e02690. DOI: https://doi.org/10.1016/j.heliyon.2019.e02690

. SAN MARTÍN, S., CAMARERO, C. How perceived risk affects online buying. Online Information Review, 2009, 33(4), 629–654, doi: 10.1108/14684520910985657. DOI: https://doi.org/10.1108/14684520910985657

. NISAR, T.M., PRABHAKAR, G. What factors determine e-satisfaction and consumer spending in e-commerce retailing? Journal of Retailing and Consumer Service, 2017, 39, 135–144, doi: 10.1016/j.jretconser.2017.07.010. DOI: https://doi.org/10.1016/j.jretconser.2017.07.010

. PAPPAS, I.O., PATELI, A.G., GIANNAKOS, M.N., CHRISSIKOPOULOS, V. Moderating effects of online shopping experience on customer satisfaction and repurchase intentions. International Journal of Retail and Distribution Management, 2014, 42(3), 187–204, doi: 10.1108/IJRDM-03-2012-0034. DOI: https://doi.org/10.1108/IJRDM-03-2012-0034

. DUARTE, P., E SILVA, S.C., FERREIRA, M.B. How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer Services, 2018, 44, 161–169, doi: 10.1016/j.jretconser.2018.06.007. DOI: https://doi.org/10.1016/j.jretconser.2018.06.007

. CORBITT, B.J., THANASANKIT, T., YI, H. Trust and e-commerce: a study of consumer perceptions. Electronic Commerce Research and Applications, 2003, 2, 203–215, doi: 10.1016/S1567-4223(03)00024-3. DOI: https://doi.org/10.1016/S1567-4223(03)00024-3

. KRUH, W et al. The truth about online consumers: 2017 Global online consumer report. KPMG International, 2017.

. TSIAKIS, T., STHEPHANIDES, G. The concept of security and trust in electronic payments. Computers and Security, 2005, 24(1), 10–15, doi: 10.1016/j.cose.2004.11.001. DOI: https://doi.org/10.1016/j.cose.2004.11.001

. SCHLOSSER, A.E., WHITE, T.B., LLOYD, S.M. Converting website visitors into buyers: how website investment increases consumer trusting beliefs and online purchase intentions. Journal of Marketing, 2006, 70(2), 133–148, doi: 10.1509/jmkg.70.2.133. DOI: https://doi.org/10.1509/jmkg.70.2.133

. MARRIOTT, H.R., WILLIAMS, M.D. Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study. Journal of Retailing and Consumer Services, 2018, 42, 133–146, doi. 10.1016/j.jretconser.2018.01.017. DOI: https://doi.org/10.1016/j.jretconser.2018.01.017

. LEE, S.J., AHN, C., SONG, K.M., AHN, H. Trust and distrust in e-commerce. Sustainability, 2018, 10(4), 1–19, doi: 10.3390/su10041015. DOI: https://doi.org/10.3390/su10041015

. KOTLER, P., ARMSTRONG, G., SWEE-HOON, A., SIEW-MANG, L., CHIN-TIONG, T., HONG-MING, Y.O. Principles of marketing: an Asian perspective. Singapore : Pearson Education, 2011.

. SEBASTIANELLI, R., TAMIMI, N., RAJAN, M. Perceived quality of online shopping: Does gender make a difference? Journal of Internet Commerce, 2008, 7(4), 445–469, doi: 10.1080/15332860802507164. DOI: https://doi.org/10.1080/15332860802507164

. HINZ, O., ECKERT, J., SKIERA, B. Drivers of the long tail phenomenon: an empirical analysis. Journal of Management Information Systems, 2011, 27(4), 43–70, doi: 10.2753/MIS0742-1222270402. DOI: https://doi.org/10.2753/MIS0742-1222270402

. ARIFFIN, S.K., MOHAN, T., GOH, Y.N. Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 2018, 12(3), 309–327, doi: 10.1108/JRIM-11-2017-0100. DOI: https://doi.org/10.1108/JRIM-11-2017-0100

. LEPKOWSKA-WHITE, E. Online store perceptions: how to turn browsers into buyers? Journal of Marketing Theory and Practice, 2004, 12(3), 36–47, doi. 10.1080/10696679.2004.11658523. DOI: https://doi.org/10.1080/10696679.2004.11658523

. GOLDFARB, A., TUCKER, C. Digital economics. Journal of Economic Literature, 2019, 57(1), 3–43, doi. 10.1257/jel.20171452. DOI: https://doi.org/10.1257/jel.20171452

. RAJENDRAN, S.D., WAHAB, S.N., LING, Y.W., YUN, L.S. The impact of logistics services on the e-shoppers’ satisfaction. International Journal of Supply Chain Management, 2018, 7(5), 461–469.

. HEDIN, J., JONSSON, M., LJUNGGREN, J. Delivery performance: How to define and measure delivery performance in a triadic relationship: student thesis. Växjö University, Business administration and economics, 2006.

. RAIJAS, A. The consumer benefits and problems in the electronic grocery store. Journal of Retailing and Consumer Services, 2002, 9(2), 107–113, doi: 10.1016/S0969-6989(01)00024-8. DOI: https://doi.org/10.1016/S0969-6989(01)00024-8

. BOUGIE, R., SEKARAN, U. Research methods for business: a skill building approach. Hoboken : Wiley, 2003.

. VASKE, J.J., BEAMAN, J., SPONARSKI, C.C. Rethinking internal consistency in Cronbach's alpha. Leisure Sciences, 2017, 39(2), 163–173, doi: 10.1080/01490400.2015.1127189. DOI: https://doi.org/10.1080/01490400.2015.1127189

. NUNNALLY, J. C. Psychometric theory 3E. Tata McGraw-Hill education, 1994.

. HAIR, J., BLACK, W., BABIN, B., ANDERSON, R. Multivariate data analysis. London : Prentice Hall, 2006.

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Published

2021-12-21

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Section

Scientific article

How to Cite

Datta, D. B., Seal, P., George, S. M., & Roy, S. (2021). Factors Influencing Women’s Buying Decisions while Shopping for Lingerie Products Online . Tekstilec, 65(1), 4-13. https://doi.org/10.14502/tekstilec.65.2021048