Dynamic Pricing in the Presence of Social Learning and Strategic Consumers
نویسندگان
چکیده
When a product of uncertain quality is first introduced, consumers may be enticed to strategically delay their purchasing decisions in anticipation of the product reviews of their peers. This paper investigates how the presence of social learning interacts with the adoption decisions of strategic consumers and the dynamicpricing decisions of a monopolist firm, within a simple two-period model. When the firm commits to a price path ex ante (pre-announced pricing), we show that the presence of social learning increases the firm’s ex ante expected profit, despite the fact that it exacerbates consumers’ tendency to strategically delay their purchase. As opposed to following a price-skimming policy which is always optimal in the absence of social learning, we find that, for most model parameters, the firm will announce an increasing price plan. When the firm does not commit to a price path ex ante (responsive pricing), interestingly, the presence of social learning has no effect on strategic purchasing delays. Under this pricing regime, social learning remains beneficial for the firm and prices may either rise or decline over time, with the latter being ex ante more likely. Furthermore, we illustrate that contrary to results reported in existing literature, in settings characterized by social learning, price-commitment is generally not beneficial for a firm facing strategic consumers.
منابع مشابه
Dynamic pricing in the presence of store-switching consumers
We introduce and analyze two-period intertemporal competitive dynamic pricing models in the presence of both store-switchers and store-loyal consumers who may be either myopic or strategic. Our analysis reveals that (i) in the presence of storeswitching consumers, retailers’ profits may increase with an increase in the patience level of the strategic consumers, which never happens when consumer...
متن کاملDynamic versus Static Pricing in the Presence of Strategic Consumers
The stochastic nature of demand suggests that firms can benefit from applying dynamic pricing strategies, where pricing decisions are postponed until information about demand is revealed. Many service providers, however, announce prices in advance and do not frequently adjust them as a response to market conditions (i.e., static pricing). This may seem suboptimal when demand is high and the fir...
متن کاملChoosing to Be Strategic: Implications of the Endogenous Adoption of Forward-Looking Purchasing Behavior on Multiperiod Pricing
Pricing over multiple periods under forward-looking, strategic consumer purchasing behavior has received significant recent research attention; however, whether consumers actually benefit from this behavior and would voluntarily choose to be strategic has not been previously considered. We explore this question, and show that many consumers have lower surplus if they are strategic than if they ...
متن کاملA DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing
One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...
متن کاملConsidering Pricing Problem in a Dynamic and Integrated Design of Sustainable Closed-loop Supply Chain Network
Flexible and dynamic supply chain network design problem has been studied by many researchers during past years. Since integration of short-term and long-term decisions in strategic planning leads to more reliable plans, in this paper a multi-objective model for a sustainable closed-loop supply chain network design problem is proposed. The planning horizon of this model contains multiple strate...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Management Science
دوره 63 شماره
صفحات -
تاریخ انتشار 2017