2013
DOI: 10.1073/pnas.1319543110
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Dynamic pricing of network goods with boundedly rational consumers

Abstract: We present a model of dynamic monopoly pricing for a good that displays network effects. In contrast with the standard notion of a rational-expectations equilibrium, we model consumers as boundedly rational and unable either to pay immediate attention to each price change or to make accurate forecasts of the adoption of the network good. Our analysis shows that the seller's optimal price trajectory has the following structure: The price is low when the user base is below a target level, is high when the user b… Show more

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Cited by 29 publications
(4 citation statements)
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“…For instance, they often plan their purchases (Liu and van Ryzin 2008) or check prices and inventory information ex-ante (Cho et al 2009), to form a strategic response to the dynamic pricing of a firm. Yet, from a consumer perspective, it remains a challenging task to recognize price changes and to make correct predictions about future price developments (Radner et al 2014). Garbarino and Maxwell (2010) argue that adverse consumer reactions to dynamic pricing, such as lower future purchase intentions, decreased trust, or willingness to complain, are also subject to cultural norms.…”
Section: Dynamic Pricingmentioning
confidence: 99%
“…For instance, they often plan their purchases (Liu and van Ryzin 2008) or check prices and inventory information ex-ante (Cho et al 2009), to form a strategic response to the dynamic pricing of a firm. Yet, from a consumer perspective, it remains a challenging task to recognize price changes and to make correct predictions about future price developments (Radner et al 2014). Garbarino and Maxwell (2010) argue that adverse consumer reactions to dynamic pricing, such as lower future purchase intentions, decreased trust, or willingness to complain, are also subject to cultural norms.…”
Section: Dynamic Pricingmentioning
confidence: 99%
“…When explaining complex human behaviours, disciplines such as business and economics often rely heavily on the assumption of rationality-that individuals consider the costs, benefits, risks and probabilities of a decision and then behave in a way to maximize their own outcomes [1]. Although research in behavioural economics has increasingly acknowledged and explored the factors that contribute to deviations from rationality, these often focus on standard cognitive biases [2,3]. Comparatively little research has addressed the influence of biological factors generally, and of infectious microorganisms in particular, on the cornerstone assumption of rational decision-making [4,5] and overall patterns of impulsivity, including risk-taking behaviour [6].…”
Section: Introductionmentioning
confidence: 99%
“…For early work and pointers to the literature, see, for example, Farrell and Saloner (1985), Katz and Shapiro (1985), and Economides (1996). More recently, there has been research in both the economics and operations management communities that considers pricing problems in the presence of network effects (see, eg, Akhlaghpour et al, 2010; Anari et al, 2010; Arthur, Motwani, Sharma, & Xu, 2009; Cabral, 2011; Dhebar & Oren, 1986; Hu, Wang, & Feng, 2020; Radner, Radunskaya, & Sundararajan, 2014; Xie & Sirbu, 1995). This stream of literature considers network benefit functions of a global nature, that is, the extent to which a customer values a product depends on the aggregate behavior of all customers.…”
Section: Introductionmentioning
confidence: 99%