Factors Influencing Behavioral Intentions of Senior Citizens in Adopting Mobile Financial Services

Anantha Lakshmi M. & Avil Saldanha

Indian Journal of Marketing2025https://doi.org/10.17010/ijom/2025/v55/i5/175018article
ABDC C
Weight
0.44

What the paper says

Purpose : Due to the digitization of the global landscape, mobile financial services (MFS) have replaced a significant proportion of traditional banking and payment systems. However, senior citizens often face several challenges when adopting these technologies. Therefore, this study focused on understanding the challenges faced by senior citizens and aimed to provide valuable insights that could facilitate the effective adoption of mobile financial services within this demographic. Methodology : Seven independent latent variables, namely performance expectancy (PE), effort expectancy (EE), social influence (SI), anxiety (ANX), perceived trust (PT), cognitive ability (CA), and facilitating conditions (FC), were considered for the study. Further, behavioral intention (BI) was taken as the dependent variable. A structured questionnaire was used, and 204 responses were received. The data was analyzed using SPSS statistical software. Regression analysis was performed to understand the relationships between the variables. Findings : The findings of the analysis indicate that PE, EE, and PT have a significant positive effect on senior citizens’ BI to adopt MFS. In contrast, SI, CA, and FC do not have a statistically significant effect. The study also found that anxiety had a significant influence on senior citizens’ BI not to adopt MFS. Practical Implications : The study results indicated that financial institutions and fintech companies should prioritize enhancing the usefulness of MFS by demonstrating their efficiency and benefits to senior citizens. Given the significance of trust in adoption, financial service providers must focus on strengthening security measures and transparency to build more confidence among senior citizens. Originality : Unlike prior research on MFS, the current work builds a model to examine the senior citizens’ intentions concerning the adoption of MFS.

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https://doi.org/https://doi.org/10.17010/ijom/2025/v55/i5/175018

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@article{anantha2025,
  title        = {{Factors Influencing Behavioral Intentions of Senior Citizens in Adopting Mobile Financial Services}},
  author       = {Anantha Lakshmi M. & Avil Saldanha},
  journal      = {Indian Journal of Marketing},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.17010/ijom/2025/v55/i5/175018},
}

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.