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Paper ID:IJSREM65639

Explaining Online Shopping Behaviour through an Extended UTAUT2 Model: Gender Differences among Consumers in India's National Capital Region

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65639

Volume:

10 |

6 |

Jun 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65639

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AK

Ashok Kumar

Commerce

I.G Govt. PG College, Tohana, Haryana, India

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AK

Amit Kumar

Commerce

I.G Govt. PG College, Tohana, Haryana, India

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Abstract

India’s rapidly expanding e-retail market necessitates a deeper understanding of online shopping behaviour among youth consumers in NCR. This study extends the UTAUT2 framework by incorporating attitude, self-efficacy, utilitarian motivation and personal innovativeness alongside core UTAUT2 constructs. Using survey data from 800 respondents collected through online and offline modes, the study examines determinants of behavioural intention and actual use behaviour toward e-retailers. Findings provide nuanced insights for e-retailers to design targeted strategies enhancing adoption, satisfaction and long-term customer relationships.

KEYWORDS

UTAUT2; Online Shopping; E-Retailing; Personal Innovativeness; Utilitarian Motivation

Cite This Article

Ashok Kumar, Amit Kumar, "Explaining Online Shopping Behaviour through an Extended UTAUT2 Model: Gender Differences among Consumers in India's National Capital Region," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-7, Jun 2026. https://doi.org/10.55041/IJSREM65639

Full Article/Conclusion

The study examined gender differences in the factors influencing consumers' online shopping behaviour among e-retail customers in the National Capital Region (NCR). The findings reveal that significant gender-based differences exist in utilitarian motivation, subjective norms, attitude, self-efficacy, habit, and facilitating conditions, with male consumers reporting higher mean scores for these constructs. However, no significant differences were observed in personal innovativeness, price value, effort expectancy, performance expectancy, and hedonic motivation, indicating that these factors influence both male and female consumers similarly. These findings provide valuable insights for e-retailers to design gender-sensitive marketing strategies while maintaining a strong focus on improving the overall online shopping experience for all consumers. This study has certain limitations that should be acknowledged. First, its cross-sectional design restricts the ability to capture changes in consumers’ perceptions over time; future longitudinal and qualitative studies could provide richer insights. Second, data were collected only from respondents in the National Capital Region, which may limit the representativeness of the findings for all Indian online shoppers. Conducting similar studies across diverse regions and demographic segments would enhance the generalisability of the results and allow more robust conclusions about online shopping behaviour in India.

References

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125–138. https://doi.org/10.1016/j.jretconser.2017.08.026 An, L., Han, Y., & Tong, L. (2016, May). Study on the factors of online shopping intention for fresh agricultural products based on UTAUT2. In The 2nd Information technology and mechatronics engineering conference (ITOEC 2016) (pp. 303-306). Atlantis Press. https://www.atlantis-press.com/proceedings/itoec-16/25853125 Chopdar, P. K., & Sivakumar, V. J. (2019). Understanding continuance usage of mobile shopping applications in India: the role of espoused cultural values and perceived risk. Behaviour and Information Technology, 38(1), 42–64. https://doi.org/10.1080/0144929X.2018.1513563 Dewi, C. K., Mohaidin, Z., & Murshid, M. A. (2020). Determinants of online purchase intention: a PLS-SEM approach: evidence from Indonesia. Journal of Asia Business Studies, 14(3), 281–306. https://doi.org/10.1108/JABS-03-2019-0086 El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743–763. https://doi.org/10.1007/s11423-016-9508-8 Farah, M. F., Hasni, M. J. S., & Abbas, A. K. (2018). Mobile-banking adoption: empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing, 36(7), 1386–1413. https://doi.org/10.1108/IJBM-10-2017-0215 Gunasinghe, A., Hamid, J. A., Khatibi, A., & Azam, S. M. F. (2020). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106. https://doi.org/10.1108/ITSE-05-2019-0020 Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps?: An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 48–62. https://doi.org/10.1108/JHTT-02-2017-0013

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Publication Date

6/28/2026

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Review Rounds: 2

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