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This paper aims to explore the development of investment decision tools by understanding the rationality behind the disposition effect. We suspect that not all disposition decisions are irrational. The decisions should be evaluated based on the bounded rationality of the individuals’ target and tolerance level, which is not covered in previous literature. Adding the context of individual preference (target and tolerance) in their decision could improve the classic measurement of disposition effect.

The laboratory web experiment is prepared to collect the responses in holding and selling the stocks within 14 days. Two groups of Gen Z investors are observed. The control group makes a decision based on their judgment without any system recommendation. In contrast, the second group gets help inputting their target and tolerance. Furthermore, the framing effect is also applied as a reminder of their target and tolerance to induce more holding decisions on gain but selling on loss.

The framing effect is adequate to mitigate the disposition effect but only at the early day of observation. Bounded rationality explains the rationality of liquidating the gain because the participants have reached their goal. The framing effect is not moderated by days to affect the disposition effect; over time, the disposition effect tends to be higher. A new measurement of the disposition effect in the context of bounded rationality is better than the original disposition effect coefficient.

Gen Z investors need a system aid to help their investment decisions set their target and tolerance to mitigate the disposition effect. Investment firms can make a premium feature based on real-time market data for investors to manage their assets rationally in the long run. Bounded rationality theory offers more flexibility in understanding the gap between profit maximization and irrational decisions in behavioral finance. The government can use this finding to develop a suitable policy and ecosystem to help beginner investors understand investment risk and manage their assets based on subjective risk tolerance.

The classic Proportion Gain Realized (PGR) and Proportion Loss Realized (PLR) measurements cannot accommodate several contexts of users’ targets and tolerance in their choices, which we argue need to be re-evaluated with bounded rationality. Therefore, this article proposed new measurements that account for the users’ target and tolerance level to evaluate the rationality of their decision.

Innovation in digital technologies has been the main force in promoting growth and inclusion. However, the impact of such innovations remains ambiguous. Within this context, this study aims to analyze the distribution of digitally empowered peer-to-peer (P2P) lending in Indonesia.

This study uses a quantitative approach to estimate the impact of technological innovation in promoting economic development. In particular, this study employs empirical panel data from 135 financial technology (FinTech) companies from 2015 to 2019 and use the dynamic panel threshold regression approach. This study collects secondary data to build the estimated model.

Contrary to conventional wisdom, this study’s evidence suggests that there is a delayed effect between the contribution of P2P lending by FinTech firms on economic growth in the country. While the immense growth of FinTech seems promising, the findings indicate that FinTech is far from its optimal point. This study calculates the optimal combination between productive and consumptive lending and between Java and non-Java. In view of this finding, this study proposes strategies to effectively distribute lending and bring about the expected benefit to the economy.

Since the contribution of P2P lending on economic development has not reached its optimum, the findings expose the limitation of current technological innovation in the financial sectors. In this sense, P2P penetration on the financing market needs encouragement. The calculations for optimal allocation between productive and consumptive and between Java and non-Java provide guidance to policymakers. This study helps practitioners to shape strategy and to begin experimenting with different approaches to distribute loans effectively.

To the best of the authors’ knowledge, there are no empirical studies that examine the impact of emerging FinTech companies in promoting economic growth and financial development. The findings close this research gap, especially in regard to innovation management literature, and provide insights for practitioners, policymakers and regulators.