The 10-Minute Economy: Consumer Behavioural Shifts and Operational Transformation in India's Quick Commerce Ecosystem

Authors

Prof. Sanjay Pattanshetty

Research Scholar and Assistant Professor, Visvesvaraya Technological University Belagavi, CPGS, Kalaburagi (India)

Article Information

DOI: 10.51244/IJRSI.2026.1306000346

Subject Category:

Volume/Issue: 13/6 | Page No: 4656-4674

Publication Timeline

Submitted: 2026-06-20

Accepted: 2026-06-25

Published: 2026-07-10

Abstract

Purpose: This study investigates consumer behavioural shifts and operational transformation within India's quick commerce (Q-commerce) ecosystem, examining how ultra-fast 10-minute delivery models reshape purchasing behaviour, service expectations, and retail logistics.
Design/Methodology/Approach: A quantitative, cross-sectional research design was employed. Primary data were collected via structured questionnaire from 500 respondents (400 consumers and 100 retail/operational partners) across major Indian metropolitan cities. The study applied descriptive statistics, Pearson correlation analysis, and multiple hierarchical regression to test 12 research hypotheses governing the relationships among delivery speed, convenience, pricing, platform trust, consumer expectations, satisfaction, loyalty, operational transformation, and business sustainability.
Findings: Results confirm that delivery speed (β=0.68, p<0.001) is the strongest predictor of consumer expectations, while customer satisfaction (β=0.71, p<0.001) is the dominant driver of consumer loyalty. Operational transformation explains 55.9% of variance in business sustainability. A total of 75% of consumers report increased impulse purchasing, 82% have shifted grocery spending from traditional retail, and 71% select platforms based on delivery speed. All 12 hypotheses are supported at p<0.01 or p<0.001.
Originality/Value: This study provides the first integrated empirical model simultaneously examining consumer behavioural and operational dimensions of India's Q-commerce ecosystem. Findings extend Platform Economy Theory, TAM, Instant Gratification Theory, and SERVQUAL to the hyperlocal ultra-fast delivery context. Practical implications are identified for quick commerce operators, partner retailers, and regulatory policymakers.

Keywords

Quick Commerce, 10-Minute Delivery, Consumer Behaviour, Operational Transformation, Platform Economy, Digital Retail, Business Sustainability, India

Downloads

References

1. Aguinis, H., Ramani, R. S., & Alabduljader, N. (2018). What you see is what you get? Enhancing methodological transparency in management research. Academy of Management Annals, 12(1), 83–110. https://doi.org/10.5465/annals.2016.0011 [Google Scholar] [Crossref]

2. Bain & Company, & Flipkart. (2024). How India shops online 2024. Bain & Company. https://www.bain.com/insights/how-india-shops-online/ [Google Scholar] [Crossref]

3. Bharadwaj, A., El Sawy, O., Pavlou, P., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482. https://doi.org/10.25300/MISQ/2013/37:2.3 [Google Scholar] [Crossref]

4. Brynjolfsson, E., Hu, Y., & Rahman, M. (2013). Competing in the age of omnichannel retailing. MIT Sloan Management Review, 54(4), 23–29. [Google Scholar] [Crossref]

5. Chatterjee, S., Rana, N. P., Dwivedi, Y. K., & Baabdullah, A. (2021). Understanding consumer adoption of digital platforms. Information Systems Frontiers, 23(4), 1027–1042. https://doi.org/10.1007/s10796-020-10041-8 [Google Scholar] [Crossref]

6. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155 [Google Scholar] [Crossref]

7. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. [Google Scholar] [Crossref]

8. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 [Google Scholar] [Crossref]

9. Dholakia, U. M. (2015). Everyone hates waiting in line. Psychology & Marketing, 32(2), 181–193. [Google Scholar] [Crossref]

10. Evans, D. S., & Schmalensee, R. (2016). Matchmakers: The new economics of multisided platforms. Harvard Business Review Press. [Google Scholar] [Crossref]

11. Frazelle, E. (2016). Supply chain strategy (2nd ed.). McGraw-Hill Education. [Google Scholar] [Crossref]

12. Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1–6. https://doi.org/10.1016/j.jretai.2016.12.008 [Google Scholar] [Crossref]

13. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203 [Google Scholar] [Crossref]

14. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. [Google Scholar] [Crossref]

15. Huang, M.-H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3–14. https://doi.org/10.1177/1094670518811834 [Google Scholar] [Crossref]

16. IBEF (India Brand Equity Foundation). (2024). Indian retail industry report 2024. https://www.ibef.org [Google Scholar] [Crossref]

17. Kapoor, A. P., & Vij, M. (2018). Technology at the dinner table: Ordering food online through mobile apps. Journal of Retailing and Consumer Services, 43, 342–351. https://doi.org/10.1016/j.jretconser.2018.04.001 [Google Scholar] [Crossref]

18. Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2020). Examining consumer adoption of online platforms. Computers in Human Behavior, 107, 106261. [Google Scholar] [Crossref]

19. Kumar, V., & Reinartz, W. (2016). Creating enduring customer value. Journal of Marketing, 80(6), 36–68. [Google Scholar] [Crossref]

20. Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. [Google Scholar] [Crossref]

21. Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420 [Google Scholar] [Crossref]

22. McKinsey & Company. (2023). The future of last-mile delivery. https://www.mckinsey.com [Google Scholar] [Crossref]

23. Mischel, W. (1972). Father absence and delay of gratification. Journal of Abnormal and Social Psychology, 63(1), 116–124. [Google Scholar] [Crossref]

24. Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38. https://doi.org/10.1177/002224299405800302 [Google Scholar] [Crossref]

25. NielsenIQ. (2024). India retail and consumer trends report. https://nielseniq.com/global/en/ [Google Scholar] [Crossref]

26. Pantano, E., Pizzi, G., Scarpi, D., & Dennis, C. (2020). Competing during pandemic retail transformation. Journal of Business Research, 116, 209–213. https://doi.org/10.1016/j.jbusres.2020.05.036 [Google Scholar] [Crossref]

27. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40. [Google Scholar] [Crossref]

28. Parker, G., Van Alstyne, M., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy. W. W. Norton & Company. [Google Scholar] [Crossref]

29. RedSeer Consulting. (2024). India quick commerce market update (2023–2025). https://redseer.com [Google Scholar] [Crossref]

30. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. [Google Scholar] [Crossref]

31. Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson. [Google Scholar] [Crossref]

32. Seiders, K., Voss, G. B., Godfrey, A. L., & Grewal, D. (2007). SERVCON: Development and validation of a multidimensional service convenience scale. Journal of the Academy of Marketing Science, 35(1), 144–156. https://doi.org/10.1007/s11747-006-0001-5 [Google Scholar] [Crossref]

33. Statista. (2024). Quick commerce in India — Statistics & facts. https://www.statista.com [Google Scholar] [Crossref]

34. Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007 [Google Scholar] [Crossref]

35. Vargo, S. L., & Lusch, R. F. (2008). Service-dominant logic: Continuing the evolution. Journal of the Academy of Marketing Science, 36(1), 1–10. https://doi.org/10.1007/s11747-007-0069-6 [Google Scholar] [Crossref]

36. Verhoef, P. C., Kannan, P. K., & Inman, J. (2015). From multi-channel retailing to omni-channel retailing: Introduction to the special issue. Journal of Retailing, 91(2), 174–181. https://doi.org/10.1016/j.jretai.2015.02.005 [Google Scholar] [Crossref]

37. Zepto Technologies Pvt. Ltd. (2024). Company insights and media releases. https://www.zeptonow.com [Google Scholar] [Crossref]

38. Zomato Ltd. (2024). Annual report and investor presentation 2023–24. https://www.zomato.com/investors [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles