What Makes Consumers Impulsive During Online Shopping: Hedonic Vs. Utilitarian Browsing?
Main Article Content
Abstract
The rapid expansion of e-commerce in Bangladesh has ushered in a new era of consumer behavior, particularly in impulse purchases made while shopping online. This study explores the impact of hedonic (pleasure-driven) and utilitarian (goal-oriented) browsing on online impulse buying behavior in Bangladesh’s rapidly growing e-commerce sector. Using an online survey and binary logistic regression analysis, the research reveals that both browsing types contribute to impulse purchases, but hedonic browsing has a stronger influence—68% of respondents reported making impulse buys during such sessions. Gender plays a significant role: 94% of female participants engaged in impulse buying during hedonic browsing, while 69% of males did so during utilitarian browsing. Key factors positively influencing impulse buying include gender, attractive product displays, peer recommendations, credit card availability, and promotional activities. Interestingly, discount offers were found to negatively affect impulse buying. Product preferences also vary by gender—females tend to impulsively buy clothes, apparel, and cosmetics, whereas males are more likely to purchase electronics and gadgets. The study contributes to consumer behavior theory by highlighting the dual influence of browsing types on impulse buying. Practically, it offers insights for e-commerce platforms to design gender-targeted marketing strategies and personalized offers, leveraging social influence and financial tools to boost sales and customer satisfaction. These findings are particularly relevant for businesses aiming to optimize their digital marketing efforts in Bangladesh’s evolving online retail landscape.
Metrics
Downloads
Article Details
Section

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
License Agreement for Bangladesh Journal of MIS (BJMIS)
Based on Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)
All articles published in the Bangladesh Journal of MIS (BJMIS) are licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Key Features of the License
1. Attribution:
- Users must provide appropriate credit to the original author(s) and the Bangladesh Journal of MIS.
- A link to the license must be included, along with an indication of any changes made to the content.
- Attribution must be provided in a reasonable manner but must not imply endorsement by the author(s) or the journal.
2. NonCommercial Use Only:
- Content can be shared (copied and redistributed in any medium or format) and adapted (remixed, transformed, and built upon) for non-commercial purposes only.
3. No Additional Restrictions:
- The license prohibits imposing legal or technological restrictions that limit others from exercising the rights granted under CC BY-NC 4.0.
Author Rights
- Authors retain copyright over their work.
- By submitting their work to BJMIS, authors grant the journal the right to publish the article under the terms of the CC BY-NC 4.0 license.
- Authors are encouraged to share their work through institutional repositories, personal websites, or other platforms, ensuring proper attribution to BJMIS.
Limitations of the License
- The license applies only to the articles published by BJMIS.
- It does not cover third-party content (e.g., images, tables, datasets) included in the articles unless explicitly stated.
- Users must comply with all applicable laws and ensure their use does not infringe upon the rights of others.
How to Attribute
When using content from BJMIS, please include the following attribution:
Author(s), “Article Title,” Bangladesh Journal of MIS, [Volume, Issue, Year], DOI/URL, licensed under CC BY-NC 4.0.
Further Information
For detailed information about the CC BY-NC 4.0 license, visit the Creative Commons website at https://creativecommons.org/licenses/by-nc/4.0/.
How to Cite
Plaudit
References
Arbaina, S., & Suresh, A. S. (2018). Factors influencing consumer's purchase intention on social networking sites: Evidence from Bangalore. Ushus-Journal of Business Management, 17(4), 41–58. https://doi.org/10.12725/ujbm.45.3
Aragoncillo, L., & Orús, C. (2017). Impulse buying behaviour: An online-offline comparative and the impact of social media. Emerald Insight.
Arslan, B. (2015). The influence of credit card usage on impulsive buying. Research Gate, July.
Aybek, E., & Toraman, Ç. (2022). Investigating the effects of different Likert-type scale structures on reliability and test information. International Journal of Assessment Tools in Education, 9(1), 31–45. https://doi.org/10.21449/ijate.1132931
Bennett, R., Lemoine, P., & Marshall, P. (2019). Sample size considerations for consumer behavior studies. Journal of Consumer Research, 45(2), 352–370. https://doi.org/10.1093/jcr/ucy042
Bilal Gulfraz, M., Sufyan, M., Mustak, M., Salminen, J., & Srivastava, D. K. (2022). Understanding the impact of online customers’ shopping experience on online impulsive buying: A study on two leading E-commerce platforms. Journal of Retailing and Consumer Services, 68, 103000. https://doi.org/10.1016/j.jretconser.2022.103000
Block, L. G., & Morwitz, V. G. (1999). Shopping lists as an external memory aid for grocery shopping: Influences on list writing and list fulfillment. Journal of Consumer Psychology, 343–375.
Chan, T. K., Cheung, C. M., & Lee, Z. W. (2017). The state of online impulse-buying research: A literature analysis. Information & Management, 54(2), 204–217.
Chen, Y., Yan, X., Fan, W., & Gordon, M. (2017). The joint moderating role of trust propensity and gender on consumers’ online impulse buying behavior. Electronic Commerce Research and Applications, 28, 1–10.
Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2021). Understanding customers' repeat purchase intentions in B2C e-commerce: The roles of utilitarian value, hedonic value, and perceived risk. Information Systems Journal, 31(1), 134–174. https://doi.org/10.1111/isj.12219
Cohen, J. (1992). Statistical power analysis for the behavioral sciences (2nd ed.). Academic Press.
Dawes, J. (2008). Do data characteristics change according to the number of scale points used? International Journal of Market Research, 50(1), 61–77.
Dey, D. K., Pandey, S., & Pandey, S. K. (2021). Gender differences in impulse buying: Evidence from India. Journal of Retailing and Consumer Services, 58, 102276. https://doi.org/10.1016/j.jretconser.2020.102276
Field, A. (2018). Discovering statistics using SPSS (5th ed.). Sage.
Floh, A., & Madlberger, M. (2013). The role of atmospheric cues in online impulse-buying behavior. Electronic Commerce Research and Applications, 12(6), 425–439. https://doi.org/10.1016/j.elerap.2013.06.001
Gracia, A. (2018). A study on the impact of promotional strategies on impulse buying. International Journal of Creative Research Thoughts.
Habib, M. D., & Qayyum, A. (2017). A structural equation model of impulse buying behavior in online shopping. UW Journal of Management Sciences, 1–14.
Hsu, W-C; Lee, M-H & Zheng, K-W (2024). From virtual to reality: The power of augmented reality in triggering impulsive purchases. Journal of Retailing and Consumer Services, Vol. 76, https://doi.org/10.1016/j.jretconser.2023.103604
Jones, M. A., Reynolds, K. E., Weun, S., & Beatty, S. E. (2003). The product-specific nature of impulse buying tendency. Journal of Business Research, 56(7), 505–511.
Kacen, J. J., & Lee, J. A. (2002). The influence of culture on consumer impulsive buying behavior. Journal of Consumer Psychology, 163–176.
Karbasivar, A., & Yarahmadi, H. (2011). Evaluating effective factors on consumer impulse buying behavior. Research Gate.
Karim, R. (2022). Bangladesh e-commerce sales to more than double by 2026: Research. The Business Standard (online), 10:45 pm. https://www.tbsnews.net/economy/bangladesh-e-commerce-sales-more-double-2026-research-497134
King, J. E. (2008). Binary logistic regression. In Best practices in quantitative methods (pp. 1–12). Sage Publications.
LaRose, R., & Eastin, M. S. (2002). Is online buying out of control? Electronic commerce and consumer self-regulation. Journal of Broadcasting & Electronic Media, 46(4), 549–564.
Lee, T. S., Md Ariff, M. S., Zakuan, N., & Sulaiman, Z. (2016). Assessing website quality affecting online purchase intention of Malaysia’s young consumers. Advanced Science, Engineering and Medicine, 8(10), 836–840. https://doi.org/10.1166/asem.2016.1937
Li, Y. (2015). Impact of impulsive buying behavior on post impulsive buying satisfaction. Social Behavior and Personality: An International Journal, 43(2), 339–351. https://doi.org/10.2224/sbp.2015.43.2.339
Lo, L. Y., Lin, S. W., & Hsu, L. Y. (2016). Motivation for online impulse buying: A two-factor theory perspective. International Journal of Information Management, 36(5), 759–772.
Luniya, P., & Verghese, D. M. (2015). A study on impulse buying and its determinants: A literature review. Pacific Business Review International, July.
Madhavaram, S. R., & Laverie, D. A. (2004). Exploring impulse purchasing on the internet. NA - Advances in Consumer Research, 31, 59–66.
Moghddam, H. A.; Carlson, J.; Wyllie, J. & Rahman, S.M. (2024). Scroll, Stop, Shop: Decoding impulsive buying in social commerce, Journal of Business Research, Vol. 182, https://doi.org/10.1016/j.jbusres.2024.114776
Moser, C. A., & Kalton, G. (2017). Survey methods in social investigation (2nd ed.). Routledge.
Muruganantham, G., & Bhakat, R. S. (2013). A review of impulse buying behavior. International Journal of Marketing Studies, 5(3), 149–160.
Mwencha, P. M., Muathe, S. M., & Thuo, J. K. (2014). Effects of perceived attributes, perceived risk, and perceived value on usage of online retailing services. Journal of Management Research, 6(2), 140–161. https://doi.org/10.5296/jmr.v6i2.5224
Nyrhinen, J., Sirola, A., Koskelainen, T., Munnukka, J., & Wilska, T.-A. (2024). Online antecedents for young consumers’ impulse buying behavior. Computers in Human Behavior, 153, 108129. https://doi.org/10.1016/j.chb.2023.108129
Peck, J., & Childers, T. L. (2006). If I touch it, I have to have it: Individual and environmental influences on impulse purchasing. Journal of Business Research, 59(6), 765–769.
Park, J., & Kim, J. (2008). The role of social influence in online impulse buying behavior. Online Information Review, 32(1), 102–120.
Randhawa, K., & Saluja, D. R. (2017). Visual merchandising and impulse buying behavior – Is there any relationship? International Journal of Business Quantitative Economics and Applied Management Research, October.
Revilla, M. A., Saris, W. E., & Krosnick, J. A. (2014). Choosing the number of categories in agree-disagree scales. Sociological Methods & Research, 43(1), 73–97.
Sharma, P., Sivakumaran, B., & Marshall, R. (2023). Exploring impulse buying in emerging markets: The role of affective and cognitive factors. Journal of Business Research, 154, 113357. https://doi.org/10.1016/j.jbusres.2022.113357
Shekhawat, K., et al. (2020). A study on the impact of discounts on consumer buying behaviour. International Journal of Creative Research Thoughts, April.
Smith, J. A., Taylor, C., & Robertson, P. (2021). Sampling strategies in consumer behavior research: A focus on targeted populations. Journal of Marketing Science, 39(3), 178–193. https://doi.org/10.1002/jms.1991
Sun, Y., Liu, Y., & Zhang, J. (2022). Cultural differences in consumer impulse buying behavior: The role of individualism and collectivism. Journal of Consumer Behaviour, 21(3), 563–577. https://doi.org/10.1002/cb.2018
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple-item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1016/S0022-4359(01)00034-1
Zhang, K. Z. K., Xu, H., Zhao, S., & Yu, Y. (2018). Online reviews and impulse buying behavior: The role of browsing and impulsiveness. Internet Research, 28, 522–543.
Zhang, L., Jiang, Y., & Shabbir, R. (2022). Social influence and impulse buying behavior in social commerce: The role of parasocial interaction. Journal of Retailing and Consumer Services, 64, 102778. https://doi.org/10.1016/j.jretconser.2021.102778