Product development: a case study of a stock analysis application product for the elderly

Abstract

This Research article had aims to examine the factors influencing the acceptance and usage of stock analysis applications among elderly users. Additionally, it seeks to propose an optimized application design tailored to this target group. The study employs a quantitative research approach, collecting data through online surveys from elderly investors with experience in stock trading. The data was analyzed using descriptive statistics and statistical tests to determine the relationships between key variables.

          The research found that the key factors influencing the intention to use the application among the elderly were (1) system security, such as OTP verification and personal data protection, which was the most influential factor; (2) the convenience of the functionality, such as the stock search system, display customization, and help functions, which made it easier for the elderly to use the application; and (3) the physical design of the application, such as font size, background color, and appropriate UI/UX arrangement, which helped reduce barriers to use. Analysis of the relationship between variables using the Chi-Square Test of Association and Cramér’s V showed that security had the strongest correlation with the intention to use, followed by the convenience of the functionality, and finally the interface design. These findings are useful for developing stock analysis applications that truly meet the needs of the elderly, and also provide guidance for application developers and investors who want to expand into the elderly market, which is projected to grow in the future.