How to Enable Future Faster Payments? An Evaluation of a Hybrid Payments Settlement Mechanism

In the era of Fintech innovation and e-commerce, faster settlement of massive retail transactions is crucial for business growth and financial system stability. However, speeding up payments settlement can create periodic liquidity shortfalls to banks which would incur high cost of funds in the settlement process. We propose a new hybrid settlement mechanism design that integrates features of real-time gross settlement, deferred net settlement, and central queue management structure. The hybrid mechanism is managed by an intermediary and is particularly suitable to settle large volume of small-value retail payments. We evaluate the mechanism using computer experiments and simulation. We find that central-queue netting is an effective means to achieve high system performance. Our results also show that the intermediary plays an important role in coordinating multilateral central-queue netting and supplying liquidity as needed to banks. We offer some policy insights into future faster payments settlement mechanism design and implementation

An Economic Analysis of Disintermediation on Crowdfunding Platforms

Prosocial crowdfunding platforms can work through direct peer-to-peer (P2P) lending or through intermediaries, incurring different costs to borrowers and lenders. This study investigates the incentives of lenders and borrowers’ and how they would choose between the two types of platforms. We model the intermediary as a profit maximizer who filters projects, provides high quality borrowers with access to the platform, and ensures repayment rate to lenders. Our initial findings suggest that the introduction of direct P2P lending platform enables the intermediary to reduce its interest rate and to raise its screening threshold on the intermediated platform. The P2P lending platform also incentivizes more altruistic lenders to shift to the direct funding platform, which enables riskier borrowers to get funded. These findings suggest that the introduction of disintermediated P2P platform improves social welfare on the prosocial crowdfunding platforms

An Economic Analysis of Consumer Learning on Entertainment Shopping Websites

Online entertainment shopping, normally supported by the pay-to-bid auction mechanism, represents an innovative business model in e-commerce. Because the unique selling mechanism combines features of shopping and online auction, consumers expect both monetary return and entertainment value from their participation. We propose a dynamic structural model to analyze consumer behaviors on entertainment shopping websites. The model captures the consumer learning process, based both on individual participation experiences and also on observational learning of historical auction information. We estimate the model using a large data set from an online entertainment shopping website. Results show that consumers’ initial participation incentives mainly come from a significant overestimation of the entertainment value and an obvious underestimation of the auction competition. Both types of learning contribute to a general decreasing participation trend among consumers over time. Our model provides both a theoretical explanation and empirical evidence of the consumer churn issue. It further identifies two groups of consumers with different risk characteristics: One group is risk-averse and quits using the website before effective learning takes place, while the other group exhibits risk-seeking behavior and overly commits to the auction games. Based on the estimated parameters of the model, we perform counterfactual analyses to evaluate the effects of policy changes on consumers’ participation behaviors. We discuss several important design implications and recommend strategies for building a sustainable business model in the entertainment shopping industry

Multigeneration product diffusion in the presence of strategic consumers

Frequent new product releases pose significant challenges for firms as they manage successive generations of product diffusion. We develop an analytical model to study the effect of different purchase options by strategic consumers on a firm’s profit and the firm’s strategies for the timing and pricing of its successive generations of product diffusion. We show that consumers’ strategic behavior, although adversely affecting the sales of the first-generation product, positively influences the sales of the second-generation product through an initial “seeding” effect. The influence of strategic consumers on profit and sales depends largely on the discount-to-price ratio of the first generation relative to the performance improvement in the second generation. When the relative discount is small, the seeding effect on the second-generation product dominates. When the relative discount is large, the “cannibalization” effect on the first-generation product dominates. We further demonstrate that the optimal entry timings recommended in the literature (i.e., “now,” “maturity,” or “never”) can occur under different market conditions. In general, higher performance improvement and lower salvage value would support a higher optimal price, a larger discount, and a later introduction time. In addition, the firm can benefit from patient consumers when the performance improvement is relatively small, and it can induce the complete substitution of the later generation for the earlier generation when the performance improvement is relatively large. Overall, our model provides a theoretical foundation for understanding the effect of consumer strategic behavior on product diffusion, and our results offer important insights about firms’ multigeneration product diffusion strategies. The online appendix is available at https://doi.org/10.1287/isre.2017.0720 . </jats:p

What Should Streamers Communicate in Livestream E-Commerce? The Effects of Social Interactions on Live Streaming Performance

Compared with traditional e-commerce, livestreaming e-commerce is characterized by direct and intimate communication between streamers and consumers that stimulates instant social interactions. This study focuses on streamers’ three types of information exchange (i.e., product information, social conversation, and social solicitation) and examines their roles in driving both short-term and long-term livestreaming performance (i.e., sales and customer base growth). We find that the informational role of product information (nonpromotional and promotional) is beneficial not only to sales performance, but also to the growth of the customer base. We also find that social conversation has a relationship-building effect that positively impacts both sales and customer base growth, whereas social solicitation has both a relationship-building and a relationship-straining effect that positively affects customer base growth but can hurt sales. Furthermore, our results show that streamers’ social interactions with consumers can stimulate consumer engagement in different ways, leading to different effects on livestreaming performance