Unveiling the Future: Decrypting Mobile Investment Resistance with Multi-Stage SEM-ANN-NCA Approach

Mobile commerce has transformed business over the past decade with various m-commerce applications. Despite the growing popularity of digital investment, there is still global resistance to using mobile applications for investment purposes. This work aims to develop a model for analyzing and predicting mobile investment resistance (MIR) by investigating the main hurdles identified in Innovation Resistance Theory (IRT). In addition, this study has extended the IRT theory by integrating demographic factors and mobile innovativeness. Data has been collected from 920 investors. The tri-stage SEM-ANN-NCA strategy, which introduces a new methodological paradigm for mobile investment resistance forecasting, makes this academic study powerful and exceptional. The researchers found that risk is the most influential barrier, followed by usage, tradition, value, image, education, age, and mobile innovativeness. This study helps mobile investment service providers and Fintech companies identify the most significant challenges, solve them, and improve the user experience for mobile investors.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2024-08-05
DOI
https://doi.org/10.1080/10447318.2024.2384990
Citations
6
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
6.31
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article

Unveiling the Future: Decrypting Mobile Investment Resistance with Multi-Stage SEM-ANN-NCA Approach

Viral Bhatt, Margi Choksi
6 citations
International Journal of Human-Computer Interaction
Technology Adoption and User Behaviour
6.31
article

Unveiling the Future: Decrypting Mobile Investment Resistance with Multi-Stage SEM-ANN-NCA Approach

Viral Bhatt, Margi Choksi
article en
6 citations

Abstract

Mobile commerce has transformed business over the past decade with various m-commerce applications. Despite the growing popularity of digital investment, there is still global resistance to using mobile applications for investment purposes. This work aims to develop a model for analyzing and predicting mobile investment resistance (MIR) by investigating the main hurdles identified in Innovation Resistance Theory (IRT). In addition, this study has extended the IRT theory by integrating demographic factors and mobile innovativeness. Data has been collected from 920 investors. The tri-stage SEM-ANN-NCA strategy, which introduces a new methodological paradigm for mobile investment resistance forecasting, makes this academic study powerful and exceptional. The researchers found that risk is the most influential barrier, followed by usage, tradition, value, image, education, age, and mobile innovativeness. This study helps mobile investment service providers and Fintech companies identify the most significant challenges, solve them, and improve the user experience for mobile investors.

International Journal of Human-Computer InteractionVol. 41(11)
Gujarat Technological University (IN), Karnavati University
Openalex Percentile: Top 4%
Technology Adoption and User Behaviour
6.31
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Unveiling the Future: Decrypting Mobile Investment Resistance with Multi-Stage SEM-ANN-NCA Approach — Viral Bhatt, Margi Choksi · International Journal of Human-Computer Interaction (2024) | TGRS Research Map | TGRS