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@article{188453,
        author = {Silambarasan S and Prof. Dr. B.L. Sairam Subramaniam},
        title = {Minimizing friction in M-Commerce: A Study of One clink Checkout efficacy},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1953-1960},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188453},
        abstract = {Mobile commerce (m-commerce) applications have become central to digital retail, yet high cart abandonment rates continue to constrain sales performance. This study investigates the impact of one-click ordering technology on mobile app conversion rates, purchase frequency, and average order value. A quantitative research design was employed, using survey data from 80 active mobile app users aged 18–65 who engaged in retail, food delivery, travel, and entertainment apps. Respondent’s behaviours with one-click checkout were compared to traditional multi-step processes through statistical analysis. Results reveal that one-click ordering significantly improves conversion rates across all age groups, with younger consumers (18–29 years) demonstrating the highest adoption and conversion outcomes. One-click users placed nearly double the monthly orders compared to traditional users, while average order values were also higher among younger and mid-aged cohorts. Regression analysis confirmed one-click adoption and perceived convenience as strong predictors of purchase frequency, while age negatively influenced adoption and frequency. These findings advance the understanding of friction reduction in mobile commerce and highlight how simplified checkout design enhances consumer engagement. Practical recommendations are provided for app developers and retailers, including prioritizing one-click adoption, optimizing user interfaces for convenience, and addressing adoption barriers among older demographics.},
        keywords = {mobile commerce, one-click ordering, conversion rates, checkout optimization, consumer behavior},
        month = {December},
        }