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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