20211021香港理工大學bevictor伟德官网姜力教授學術報告

發布時間:2021-10-15 


報告主題:Selling to Time-inconsistent Consumers

報告人:姜力教授


時間:20211021日(周四)下午2:00

地點:旭日樓306教室

主持人:李慶穎



報告簡介

Empirical evidence indicates that consumers subjectively weigh the near future more heavily than the further future. When purchasing investment products, they make payments and exert efforts before receiving payoffs. Due to the time difference between incurring cost and receiving payoff, subjective discounting can cause consumers to exhibit time-inconsistent purchase behavior. We investigate the impact of this consumer behavior on the pricing strategies of firms in competitive markets. In a two-period setting, each consumer purchases a product in period one or two, or leaves without purchase. Each firm adopts either dynamic pricing to adjust prices over periods or static pricing to commit to a price. We demonstrate that a firm should adopt a strategy alongside a price trajectory that fits the magnitude of consumers’ time-inconsistency and the quality of its product. Firms have a stronger incentive to adopt dynamic pricing as consumers exhibit stronger time-inconsistency. The skimming policy to decrease prices over time is not necessarily optimal. Static pricing is not always effective in deterring consumers’ purchase postponement but can undermine a firm’s profit. Compared to when both firms engage in dynamic pricing, the firm offering a high-quality product is more likely than its low-quality counterpart to suffer profit loss by unilateral price commitment. As both firms commit to static prices, they are under intense competition and the low-quality firm is more likely to lose profit due to lack of pricing flexibility for differentiated consumer segments.




報告人簡介


姜力,香港理工大學bevictor伟德官网教授。姜力教授的研究方向包括:數據驅動運營、信息共享、信用商品市場、行為運營和共享經濟平台研究。姜力教授的研究成果發表在Management Science, Manufacturing & Service Operations Management, Production and Operations Management, and Naval Research Logistic等國際頂級期刊,他同時也是這些期刊的編輯委員會成員。姜力教授2018年被European Association of Operational Research授予傑出學術貢獻榮譽,并于2020年入選教育部“長江學者”。



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