A Two-stage Pricing Strategy Considering Learning Effects and Word-of-Mouth
This paper proposes a two-stage pricing strategy for nondurable (such as typical electronics) products, where retail price is cut down at certain time points of the product lifecycle. We consider learning effect of electronic products that, with the accumulation of production, average production cost decreases over time as manufacturers get familiar with the production process. Moreover, word-of-mouth (WOM) of existing customers is used to analyze future demand, which is sensitive to the difference between the actual reliability and the perceived reliability of products. We theoretically prove the existence and uniqueness of the optimal switch time between the two stages and the optimal price in each stage. In addition, warranty as another important factor of electronic products is also considered, whose interaction with word-of-mouth as well as the corresponding influences on total profit are analyzed. Interestingly, our findings indicate that (1) the main reason for manufacturers to cut down prices for electronic products pertains to the learning effects; (2) even through both internal factors (e.g., the learning effects of manufacturers) and external factors (e.g., the price elasticity of customers) have impacts on product price, their influence on manufacturer's profit is widely divergent; (3) generally warranty weakens the influence of external advertising on the reliability estimate, because warranty price only partially reflects the actual reliability information of products; (4) and the optimal warranty price can increase the profits for the manufacturer by approximately 10%.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Pricing decisions under manufacturer's component open-supply strategy
Faced with huge market potential and increasing competition in emerging industries, product manufacturers with key technologies tend to consider whether to implement a component open supply strategy. This study focuses o…
Time-of-use Pricing for Energy Storage Investment
Time-of-use (ToU) pricing is widely used by the electricity utility to shave peak load. Such a pricing scheme provides users with incentives to invest in behind-the-meter energy storage and to shift peak load towards low…
Optimal Dispatch Strategy for a Multi-microgrid Cooperative Alliance Using a Two-Stage Pricing Mechanism
To coordinate resources among multi-level stakeholders and enhance the integration of electric vehicles (EVs) into multi-microgrids, this study proposes an optimal dispatch strategy within a multi-microgrid cooperative a…
SchedulingPersonalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning
Pricing based on individual customer characteristics is widely used to maximize sellers' revenues. This work studies offline personalized pricing under endogeneity using an instrumental variable approach. Standard instru…
Causal InferenceEconometricsOptimal Sizing and Pricing of Renewable Power to Ammonia Systems Considering the Limited Flexibility of Ammonia Synthesis
Converting renewable energy into ammonia has been recognized as a promising way to realize ``green hydrogen substitution" in the chemical industry. However, renewable power to ammonia (RePtA) requires an essential invest…