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Gamified System Effectiveness on Social Trading Platforms

2022 | International Conference on Information Systems | Citations: 0
Authors: Chen, Yingying; Leung, Alvin; Yue, Wei Thoo

Abstract: To motivate user engagement and generate desired engagement outcomes, some soci ... Expand

Abstract: To motivate user engagement and generate desired engagement outcomes, some social trading platforms have introduced gamified systems with hierarchical badges and financial incentives. However, previous studies have not examined the effectiveness of such an application. Based on data collected from a popular social trading platform, eToro, we empirically examine the effectiveness of the gamified system and its mechanism. Results indicate that the gamified system under social trading is effective in inducing user-to-user and user-to-system interactions, thus leading to some desired engagement outcomes on social media. However, the gamified system does not contribute to the engagement outcomes on financial investment. Our paper contributes to the literature on both gamification and social trading, highlighting gamification's important practical implications for platform managers, cautioning against the possible ineffectiveness of the dual-outcome gamified system and shedding light on the design of gamified systems. Collapse

Semantic filters: eToro

Topics: social trading platform gamification social media eToro media richness

Methods: longitudinal research propensity score matching
I'll Have What S/he's Having: A Case Study of a Social Trading Network

2017 | International Conference on Information Systems | Citations: 0
Authors: Pelster, Matthias

Abstract: Opinion leaders of an investment network can have a significant impact on capita ... Expand

Abstract: Opinion leaders of an investment network can have a significant impact on capital markets because their investment decisions are adopted by their peers and trigger large trading cascades, increasing herding behavior and comovement among stock returns. This paper analyzes the interaction-based relations of traders from a large social trading platform and identifies the driving forces and the opinion leaders within a large online trading network as the nodes with the highest centrality and the highest force of infection, respectively. Relying on recent insights from epidemiological research, I maintain that centrality identifies the most central traders in the network, while the expected force quantifies the most influential traders and their spreading power. I study the behavior and characteristics that set central and influential traders apart from other traders. The ability to identify focal points and their trading behavior within a trading network is important for investors, investment advisers, and policy makers. Collapse

Semantic filters: eToro

Topics: eToro social trading platform social influence social media electronic trading

Methods: regression analysis method statistical hypothesis test multivariate statistics survival function descriptive statistic

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Gamified System Effectiveness on Social Trading Platforms

I'll Have What S/he's Having: A Case Study of a Social Trading Network