ENHANCING STOCK MARKET INVESTMENT DECISIONS THROUGH BLOCKCHAIN TRANSACTION SECURITY: A STUDY ON INVESTOR INTENTIONS
This study analyzes the effect of transaction security using Blockchain technology on customers' decision to invest in the stock market. Blockchain is known as a revolutionary technology that offers high security through decentralization, transparency, and immutability. In the context of investment, this technology has the potential to reduce the risk of data manipulation, fraud, and information leakage that are often a challenge in online investment.A quantitative approach is used with the Theory of Planned Behavior (TPB) framework to measure the influence of variables such as attitude towards money, subjective norms, perceived behavioral control, and Blockchain transaction security on investment intentions. The sample consisted of 460 respondents who had experience or interest in investing in listed companies. Data was collected through a structured questionnaire and analyzed using Smart PLS to validate the research model.The results show that Blockchain-based transaction security, such as cryptographic encryption, smart contracts, and transparent transaction recording, has a significant influence on investment intention by increasing investor confidence. Psychological factors, such as attitudes toward money and subjective norms, also strengthen investment intentions, reflecting the importance of perceived security and social support. This research makes a practical contribution for companies to adopt Blockchain as a strategic move to increase investor confidence. This technology can be the basis for creating a safe and sustainable investment ecosystem. In addition, this research enriches the academic literature on the role of Blockchain in investment decisions and recommends better investment security standards for regulators.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-30
- DOI
- https://doi.org/10.5281/zenodo.17208285
- Primary Topic
- Agriculture Sustainability and Environmental Impact
- Type
- article
- Field-Weighted Citation Impact
- 0.00