SERVER_OS: Linux ojs 3.10.0-1127.el7.x86_64 #1 SMP Tue Mar 31 23:36:51 UTC 2020 x86_64
SERVER_SOFTWARE: nginx/1.16.1
PHP_VERSION: 7.3.33
DISABLE_FUNCTION: exec, passthru, shell_exec, system, proc_open, popen, curl_exec, curl_multi_exec, parse_ini_file, show_source

PATH:
Impact of Virtual Try-On Features on Purchase Intention in Online Apparel Shopping | International Journal of Advances in Business and Management Research (IJABMR)
Skip to main content Skip to main navigation menu Skip to site footer
Articles
Published: 2026-03-12

Impact of Virtual Try-On Features on Purchase Intention in Online Apparel Shopping

Mangalore University, 574119 Karnataka, India
St Aloysius College (Deemed to be University), 575003 Karnataka, India
Online Apparel Shopping Perceived Usefulness PLS-SEM Purchase Intention Trust Virtual Try-On Technology

Abstract

This research explores how virtual try-on technology impacts consumers’ willingness to purchase apparel in an e-commerce environment. It focuses on the roles of interactivity, visual authenticity, and user-friendliness in shaping shoppers’ perceptions of usefulness and trust. The study further analyses how these perceptions contribute to their overall willingness to make a purchase. This study collected responses from 224 consumers in Dakshina Kannada District, India, all of whom had previously used virtual try-on for online apparel purchases. The proposed conceptual framework was evaluated using partial least squares structural equation modelling (PLS-SEM) in the SmartPLS software, prioritising enhanced visual realism and the system's performance. These outcomes show perceived utility and trust are significantly increased by interactivity, realism, and ease of use. Among these, realism and usability are more important than interaction, indicating that enhancing these factors can lead to a greater impact on customer engagement and satisfaction. Additionally, customers' buying intention is greatly increased by perceived utility and trust, with trust being the more significant predictor. The structural model demonstrates a moderate explanatory capacity, accounting for 57.6% of the variance in purchase intention. Online apparel retailers should prioritise enhancing visual realism and the system's ease of use in virtual trial applications to strengthen consumer trust and perceived usefulness. Investments in accurate visualisations and user-friendly interfaces may significantly increase purchase intentions. By offering data relevant to a given region and explaining the psychological mechanisms via which technical features impact consumer decision-making, this study adds to the scant empirical literature on virtual try-on technology in online garment buying.

References

  1. Koay KY, Cheah CW. Understanding consumers' intention to revisit bubble tea stores: an application of the theory of planned behaviour. British Food Journal. 2023 Feb 9;125(3):994-1007. https://doi.org/10.1108/BFJ-01-2022-0025
  2. Sharma A, Fadahunsi A, Abbas H, Pathak VK. A multi-analytic approach to predict social media marketing influence on consumer purchase intention. Journal of Indian Business Research. 2022 May 17;14(2):125-49. https://doi.org/10.1108/JIBR-08-2021-0313
  3. Malarvizhi CA, Al Mamun A, Jayashree S, Naznen F, Abir T. Modelling the significance of social media marketing activities, brand equity and loyalty to predict consumers’ willingness to pay premium price for portable tech gadgets. Heliyon. 2022 Aug 1;8(8). https://doi.org/10.1016/j.heliyon.2022.e10145
  4. Menon PB. Influence of social media marketing efforts on brand equity and consumer response to branded shoes in India. Indian Journal of Marketing. 2021 Sep 30:24-40. https://doi.org/10.17010/ijom/2021/v51/i9/166162
  5. Koay KY, Cheah CW, Goon SW. How do perceived social media marketing activities foster purchase intentions? A multiple sequential mediation model. Journal of Global Marketing. 2023 May 27;36(3):210-24. https://doi.org/10.1080/08911762.2023.2207072
  6. Safeer AA. Harnessing the power of brand social media marketing on consumer online impulse buying intentions: a stimulus-organism-response framework. Journal of Product & Brand Management. 2024 Aug 5;33(5):533-44. https://doi.org/10.1108/JPBM-07-2023-4619
  7. Hanaysha JR. Impact of social media marketing features on consumer's purchase decision in the fast-food industry: Brand trust as a mediator. International journal of information management data insights. 2022 Nov 1;2(2):100102. https://doi.org/10.1016/j.jjimei.2022.100102
  8. Aparna K. Factors Influencing Unified Payments Interface Adoption Among Hawkers in Mangaluru: An Extended Technology Acceptance Model Approach. Asian Journal of Managerial Science. 2024 Oct 15;13(2):45-51. https://doi.org/10.70112/ajms-2024.13.2.4250
  9. Raghavendra R, Shruthi N. Factors influencing behavioural intention to use DigiLocker among users in Mangaluru City: an extended technology acceptance model approach. Int J Case Stud Bus IT Educ. 2025;9(1):1-19. https://doi.org/10.5281/zenodo.14854760
  10. Banerji R, Singh A. Do social media marketing activities promote customer loyalty? A study on the e-commerce industry. LBS Journal of Management & Research. 2024 Jul 10;22(1):93-109. https://doi.org/10.1108/LBSJMR-04-2023-0016
  11. ElSayad G, Md Saad NH. Unmasking the power of social media marketing activities in cultivating customer equity, loyalty, and repurchase intention. Journal of Marketing Communications. 2024 Nov 22:1-21. https://doi.org/10.1080/13527266.2024.2432029
  12. Farzin M, Sadeghi M, Fattahi M, Eghbal MR. Effect of social media marketing and eWOM on willingness to pay in the etailing: Mediating role of brand equity and brand identity. Business Perspectives and Research. 2022 Sep;10(3):327-43. https://doi.org/10.1177/22785337211024926
  13. Al-Hujri A, Al-Hakimi MA, Alshageri S, Vasant Keshavrao B, Al Koliby IS. The impact of social media marketing activities on brand loyalty and awareness: The mediating role of customer satisfaction in Yemen’s telecom industry. Cogent Business & Management. 2025 Dec 12;12(1):2509793. https://doi.org/10.1080/23311975.2025.2509793
  14. Zarei A, Farjoo H, Bagheri Garabollagh H. How social media marketing activities (SMMAs) and brand equity affect the customer's response: does overall flow moderate it?. Journal of Internet Commerce. 2022 Apr 3;21(2):160-82. https://doi.org/10.1080/15332861.2021.1955461
  15. Yadav M, Rahman Z. Measuring consumer perception of social media marketing activities in e-commerce industry: Scale development & validation. Telematics and informatics. 2017 Nov 1;34(7):1294-307. https://doi.org/10.1016/j.tele.2017.06.001
  16. Irshad M, Ahmad MS, Malik OF. Understanding consumers’ trust in social media marketing environment. International Journal of Retail & Distribution Management. 2020 Oct 10;48(11):1195-212. https://doi.org/10.1108/IJRDM-07-2019-0225
  17. Shuyi J, Mamun AA, Naznen F. Social media marketing activities on brand equity and purchase intention among Chinese smartphone consumers during COVID-19. Journal of Science and Technology Policy Management. 2024 Jan 25;15(2):331-52. https://doi.org/10.1108/JSTPM-02-2022-0038
  18. Singh B, Dagur A. Understanding influence of social media marketing of masstige fashion brands on generation Z female Indian consumers. Indian Journal of Marketing. 2022 May 1:8-24. https://doi.org/10.17010/ijom/2022/v52/i5/169414
  19. Sheethal K. A Study on Consumer Satisfaction and Repurchase Intention in E-Commerce in Dakshina Kannada, Karnataka, India. Asian Journal of Managerial Science. 2025 Aug 5;14(2):10-8. https://doi.org/10.70112/ajms-2025.14.2.4281
  20. Suvarni S, Deeksha D. Adoption of Climate-Smart Agriculture Technologies by Agripreneurs: An Integrated DOI and TAM Approach. International Journal of Advances in Business and Management Research (IJABMR). 2025 Sep 12;3(1):46-66. https://doi.org/10.62674/ijabmr.2025.v3i01.005
  21. Hair JF, Hult GT, Ringle CM, Sarstedt M, Danks NP, Ray S. Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer international publishing; 2021. https://doi.org/10.1007/978-3-030-80519-7
  22. Suvarni S, Deeksha D. Adoption of Climate-Smart Agriculture Technologies by Agripreneurs: An Integrated DOI and TAM Approach. International Journal of Advances in Business and Management Research (IJABMR). 2025 Sep 12;3(1):46-66. https://doi.org/10.62674/ijabmr.2025.v3i01.005
  23. Kock N, Hadaya P. Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods. Information systems journal. 2018 Jan;28(1):227-61. https://doi.org/10.1111/isj.12131
  24. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science. 2015 Jan;43(1):115-35. https://doi.org/10.1007/s11747-014-0403-8
  25. Thejaswini MC, Wright R. How Tier 2 Shoppers Adopt Online Shopping After COVID-19: A Conceptual Study. International Journal of Advances in Business and Management Research (IJABMR). 2025 Dec 12;3(2):70-81. https://doi.org/10.62674/ijabmr.2025.v3i02.007

Metrics

Article Contents

Indexed In

 

Journal title

International Journal of Advances in Business and Management Research (IJABMR)

ISSN (online)

2584-1718

Publisher's name

Swami Vivekananda Global Academy, India

Established Since

2023

Email Id

info@ijabmresearch.org

DOI Prefix

10.62674/ijabmr

Peer Review

Double Anonymous Peer Review

Licensing

CC BY-NC-ND

Open Access

Yes

 

Indexed In








Score: 6.038









Tools