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Dynamic Pricing Under Demand Uncertainty In The Presence Of Strategic Consumers
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Book Synopsis Dynamic Pricing Under Demand Uncertainty in the Presence of Strategic Consumers by : Yinhan Meng
Download or read book Dynamic Pricing Under Demand Uncertainty in the Presence of Strategic Consumers written by Yinhan Meng and published by . This book was released on 2011 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: We study the effect of strategic consumer behavior on pricing, inventory decisions, and inventory release policies of a monopoly retailer selling a single product over two periods facing uncertain demand. We consider the following three-stage two-period dynamic pricing game. In the first stage the retailer sets his inventory level and inventory release policy; in the second stage the retailer faces uncertain demand that consists of both myopic and strategic consumers. The former type of consumers purchase the good if their valuations exceed the posted price, while the latter type of consumers consider future realizations of prices, and hence their future surplus, before deciding when to purchase the good; in the third stage, the retailer releases its remaining inventory according to the release policy chosen in the first stage. Game theory is employed to model strategic decisions in this setting. Each of the strategies available to the players in this setting (the consumers and the retailer) are solved backward to yield the subgame perfect Nash equilibrium, which allows us to derive the equilibrium pricing policies. This work provides three primary contributions to the fields of dynamic pricing and revenue management. First, if, in the third stage, inventory is released to clear the market, then the presence of strategic consumers may be beneficial for the retailer. Second, we find the optimal inventory release strategy when retailers have capacity limitation. Lastly, we numerically demonstrate the retailer's optimal decisions of both inventory level and the inventory release strategy. We find that market clearance mechanism and intermediate supply strategy may emerge as the retailers optimal choice.
Book Synopsis Study of Customer Behavior in a Revenue Management Setting Using Data-driven Approaches by : Sareh Nabi-Abdolyousefi
Download or read book Study of Customer Behavior in a Revenue Management Setting Using Data-driven Approaches written by Sareh Nabi-Abdolyousefi and published by . This book was released on 2018 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this study is to propose novel dynamic pricing mechanisms in the presence of strategic customers using data-driven approaches. Dynamic pricing is the latest trend in pricing strategies and allows optimal response to real-time demand and supply information. Firms often face uncertainties when making pricing decisions. One of the uncertainties often involved is unknown demand. Therefore, businesses seek to optimize revenue while learning demand and reducing the uncertainty involved in setting prices. Understanding consumer decision-making is another crucial aspect of pricing in revenue management. One of the detrimental effects of dynamic pricing is that it invokes a type of behavior in customers that is referred to as forward-looking, or strategic, in revenue management literature. The strategic customer considers future price decreases, and purchases the product if his or her discounted surplus is higher than the immediate surplus. In chapters 1 and 2, we study a retailer who is pricing dynamically to maximize his expected cumulative revenue. We assume that the retailer has no information regarding expected demand nor the type of customers he is facing, whether they are myopic or strategic in their shopping behavior. In the problem of dynamic pricing under demand uncertainty, we face an inherent trade-off between the exploration involved in learning demand and the exploitation which occurs due to revenue maximization. One way of modeling this trade-off is using the multi-arm bandit modeling approach. Many algorithms have been proposed to solve stochastic multi-arm bandit problems. Our focus is on the Thompson Sampling (TS) algorithm which takes a Bayesian approach and was introduced by William R. Thompson. We propose a pricing mechanism called Strategic Thompson Sampling algorithm which is built upon the TS algorithm. Our main contribution in these two chapters is to merge the literature on strategic behavior with the literature on dynamic pricing and demand learning based on the classical multi-arm bandit modeling approach. In these chapters, the retailer is applying our proposed Strategic Thompson Sampling algorithm to learn expected demand in an exploration-versus-exploitation fashion. We start our analysis with a Bernoulli demand scenario in chapter 1 and extend our work to a Normal demand scenario in chapter 2. For both Bernoulli and Normal demand scenarios, we demonstrate numerically that the retailer's long run price offer decreases as the patience level of the strategic customer increases. We further show that the retailer can be better off in terms of his expected cumulative revenue when facing strategic customers. One potential explanation for this observation is the retailer's lower exploration of non-optimal arms in the presence of strategic customers rather than myopic ones. Our intuition is analytically and numerically confirmed for both Bernoulli and Normal demand scenarios. We further provide and compare expected regret bounds on the retailer's expected cumulative revenue for both types of customers. We conclude that the retailer's regret is lower when facing strategic customers as compared to myopic ones. Our objective in chapter 3 is to improve our starting point by building an informative prior and more specifically, an empirical Bayes prior for the Bayesian online learning algorithm that performs binary prediction. The underlying model used in this chapter is a Bayesian Linear Probit (BLIP) model which performs binary classification on a public data set called "Census Income Data Set". Our goal is to build an informative prior using a portion of the training data set and start the BLIP model with the built-in prior rather than the non-informative standard Normal distributions. We further compare the prediction accuracies of the BLIP model with informative and non-informative priors. An empirical Bayes model (Blip with empirical Bayes prior) has been implemented recently in the production system of one of the largest online retailers. The web-lab experiment is currently running.
Book Synopsis Dynamic Pricing in the Presence of Strategic Consumers by : Mirko Kremer
Download or read book Dynamic Pricing in the Presence of Strategic Consumers written by Mirko Kremer and published by . This book was released on 2015 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate the impact of strategic consumer behavior on retailers' dynamic pricing decisions. We present a stylized two-period model, and test the equilibrium predictions in a set of behavioral experiments in which human subjects played the role of pricing managers. Our main insight is that relative to equilibrium predictions, subjects underprice in the main selling season. Consequently, they sell more inventory and obtain higher revenue in that season. However, by doing so they significantly limit their ability to generate revenue in the markdown season, which, in the presence of strategic consumers is a major source of revenue.
Book Synopsis Dynamic Pricing of Experience Goods in Markets with Demand Uncertainty by : Yu-Hung Chen
Download or read book Dynamic Pricing of Experience Goods in Markets with Demand Uncertainty written by Yu-Hung Chen and published by . This book was released on 2018 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies a firm's optimal dynamic pricing strategies for its new experience goods inmarkets where the distribution of consumers' valuations is ex ante unknown. We examine whetherand how the firm facing information asymmetry and demand uncertainty can signal its high qualityand learn market demand through its pricing strategy. First, we find that a high-quality firm cancredibly reveal its true quality in the early period with either a skimming-pricing strategy or apenetration-pricing strategy under different conditions. Second, though a high-quality firm canbenefit more from learning market demand than a low-quality firm, the high-quality firm may inequilibrium adopt a penetration-pricing strategy to forgo the benefit of learning demand in orderto separate from the low-quality firm, who would adopt a skimming strategy to learn marketdemand. Third, although consumers have higher willing-to-pay for a high-quality product, thehigh-quality firm may in equilibrium charge a lower initial price than the low-quality firm. Fourth,interestingly, the high-quality firm may earn higher profits when its initial price is made underdemand uncertainty than under no uncertainty. Lastly, with perfect social learning (i.e., in the laterperiod, all consumers can learn the firm's quality from earlier customers), the high-quality firmcan in equilibrium signal its quality and learn market demand by adopting a skimming strategy.
Book Synopsis Essays on Economics and Marketing by : Yu-Hung Chen (Economics scholar)
Download or read book Essays on Economics and Marketing written by Yu-Hung Chen (Economics scholar) and published by . This book was released on 2016 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 1: Dynamic Pricing and Price Commitment of New Experience Goods An important problem for a firm selling new experience goods is how to credibly signal its high quality. This chapter develops a dynamic model to examine how a firm with a non-durable experience good can signal its quality with dynamic spot-pricing or future-price commitment. I find that when consumers do not believe the firms price commitment to be credible, the high-quality firms most profitable equilibrium outcome is to pool in the first period and separate in the second period. In contrast, when price commitment is credible, the high-quality firm may signal its quality with either a lower-than-first-best first-period price or a higher-than-first-best second-period price. Credible price commitment will benefit the high-quality firm by lowering its signaling cost and hurt the low-quality firm, but can either increase or decrease consumer surplus and social welfare depending on the quality difference between the two types of firms. Chapter 2: Dynamic Pricing of Experience Goods in Markets with Demand Uncertainty This chapter studies a firms optimal dynamic pricing strategies for its experience goods in markets, where the distribution of consumers valuations is ex ante unknown. I find several interesting findings. First, a high-quality firm can signal its quality with either a skimming-pricing strategy or a penetration-pricing strategy in the early period. Second, though a firm with higher quality benefits more from learning market demand, in equilibrium the low-quality firm not the high-quality firm will learn demand if consumers have very different willingness to pay. Third, although consumers have higher willingness to pay for the high-quality product, in the first period the high-quality firm may actually charge a lower price than the low-quality firm. Lastly, the firm may earn higher profits when its initial pricing decision is made under demand uncertainty than under no demand uncertainty. The underlying reason is that the presence of demand uncertainty can sufficiently lower the high-quality firms signaling cost, allowing it to make higher profits by setting future prices based on its high quality. Chapter 3: Who Benefits from Big Data Collected by In-Vehicle Data Recorders? The car insurance market is plagued with problems of adverse selection and moral hazard. In-vehicle data recorders can collect massive amount of information (or "big data") about the drivers risk factors and driving behaviors. This monitoring technology allows the firm to set its insurance premium based on better estimates of the drivers risk factors, alleviating the adverse selection problem. In addition, the firm can charge a premium based on the customers recorded driving behaviors; this helps to reduce the drivers moral hazard. I provide an analytical framework to examine the impact of such monitoring technology on the insurance firms and the consumers. My analysis shows that in a duopoly one firms adoption of the monitoring technology may benefit both firms because of the less severe competition in the market. Finally, I show that if one firm has adopted the monitoring technology, its competitor may have no incentive to adopt that technology even if it is free.
Book Synopsis Dynamic Pricing in the Presence of Strategic Consumer with Product and Intertemporal Substitution by : EunMi Lee
Download or read book Dynamic Pricing in the Presence of Strategic Consumer with Product and Intertemporal Substitution written by EunMi Lee and published by . This book was released on 2011 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study develops a dynamic pricing model with a quality substitutable product, taking into account strategic and myopic consumers. In each of the two periods, the firm can choose between offering a high quality product, a low quality product or both and the corresponding price for the product. Strategic consumers compare current utility with future utility in order to decide the time of purchase and the quality of the product in an attempt to maximize their utilities. Myopic consumers consider only current utility in purchasing of the products. We generate scenarios, prove whether a scenario is feasible and which scenario produces the best profit for the firm. Our result suggests that the firm obtains the best profit when it provides only high quality products in each of the two periods. In other words, the firm does not have to offer quality substitution as intertemporal substitution suffices to maximize the expected profit.
Book Synopsis Dynamic Pricing Strategies in the Presence of Demand Shifts by : Omar Besbes
Download or read book Dynamic Pricing Strategies in the Presence of Demand Shifts written by Omar Besbes and published by . This book was released on 2016 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many factors introduce the prospect of changes in the demand environment that a firm faces, with the specifics of such changes not necessarily known in advance. If and when realized, such changes affect the delicate balance between demand and supply and thus current prices should account for these future possibilities. We study the dynamic pricing problem of a retailer facing the prospect of a change in the demand function during a finite selling season with no inventory replenishment opportunity. In particular, the time of the change and the postchange demand function are unknown upfront, and we focus on the fundamental trade-off between collecting revenues from current demand and doing so for postchange demand, with the capacity constraint introducing the main tension. We develop a formulation that allows for isolating the role of dynamic pricing in balancing inventory consumption throughout the horizon. We establish that, in many settings, optimal pricing policies follow a monotone path up to the change in demand. We show how one may compare upfront the attractiveness of pre- and postchange demand conditions and how such a comparison depends on the problem primitives. We further analyze the impact of the model inputs on the optimal policy and its structure, ranging from the impact of model parameter changes to the impact of different representations of uncertainty about future demand.
Book Synopsis New Developments in the Analysis of Market Structure by : International Economic Association
Download or read book New Developments in the Analysis of Market Structure written by International Economic Association and published by MIT Press. This book was released on 1986 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: These contributions discuss a number of important developments over the past decade in a newly established and important field of economics that have led to notable changes in views on governmental competition policies. They focus on the nature and role of competition and other determinants of market structures, such as numbers of firms and barriers to entry; other factors which determine the effective degree of competition in the market; the influence of major firms (especially when these pursue objectives other than profit maximization); and decentralization and coordination under control relationships other than markets and hierarchies.ContributorsJoseph E. Stiglitz, G. C. Archibald, B. C. Eaton, R. G. Lipsey, David Enaoua, Paul Geroski, Alexis Jacquemin, Richard J. Gilbert, Reinhard Selten, Oliver E. Williamson, Jerry R. Green, G. Frank Mathewson, R. A. Winter, C. d'Aspremont, J. Jaskold Gabszewicz, Steven Salop, Branko Horvat, Z. Roman, W. J. Baumol, J. C. Panzar, R. D. Willig, Richard Schmalensee, Richard Nelson, Michael Scence, and Partha Dasgupta
Book Synopsis Dynamic Pricing in a Distribution Channel in the Presence of Switching Costs by : Koray Cosguner
Download or read book Dynamic Pricing in a Distribution Channel in the Presence of Switching Costs written by Koray Cosguner and published by . This book was released on 2017 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: We advance the literature on dynamic oligopoly pricing models in the presence of switching costs by additionally modeling the strategic pricing role of the retailer within the distribution channel. In doing this, we study the relative dynamic pricing implications of how current retail and wholesale prices for a brand must optimally take into account past and future demand, respectively, for the brand. Using scanner data from the cola market, we find that while the retailer exploits the benefit of inertial demand by appropriately increasing the retail profit margin, the cost of investing is borne entirely by the manufacturers. We use simulation studies to show how the retailer will lose its ability to leverage the benefits of inertial demand as consumers become more price sensitive. We also show that when inertia of the more price-sensitive customer segment increases, the aggregate welfare of consumers, the retailer, and manufacturers may increase.
Book Synopsis Consumer-Driven Demand and Operations Management Models by : Serguei Netessine
Download or read book Consumer-Driven Demand and Operations Management Models written by Serguei Netessine and published by Springer Science & Business Media. This book was released on 2009-06-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important book is by top scholars in supply chain management, revenue management, and e-commerce, all of which are grounded in information technologies and consumer demand research. The book looks at new selling techniques designed to reach the consumer.
Book Synopsis The Theory and Practice of Revenue Management by : Kalyan T. Talluri
Download or read book The Theory and Practice of Revenue Management written by Kalyan T. Talluri and published by Springer Science & Business Media. This book was released on 2006-02-21 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revenue management (RM) has emerged as one of the most important new business practices in recent times. This book is the first comprehensive reference book to be published in the field of RM. It unifies the field, drawing from industry sources as well as relevant research from disparate disciplines, as well as documenting industry practices and implementation details. Successful hardcover version published in April 2004.
Book Synopsis Behavioral Consequences of Dynamic Pricing by : David Prakash
Download or read book Behavioral Consequences of Dynamic Pricing written by David Prakash and published by BoD – Books on Demand. This book was released on 2022-08-19 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital technologies are driving the application of dynamic pricing. Today, this pricing strategy is used not only for perishable products such as flights or hotel rooms, but for almost any product or service category. With dynamic pricing, retailers frequently adjust their prices over time to respond to factors such as demand, their supply and that of competitors, or the time of sale. Additionally, dynamic pricing allows retailers to take advantage of a large share of consumers' willingness to pay while avoiding losses from unsold products. Ultimately, this can lead to an increase in revenue and profit. However, the application of dynamic pricing comes with great challenges. In addition to the technological implementation, companies have to take into account that dynamic pricing can cause complex and unintended behavioral consequences on the consumer side. The key objective of this dissertation is to provide a deeper understanding of the impact of dynamic pricing on consumer behavior. To this end, this dissertation presents insights from four perspectives. First, how reference prices as a critical component in purchase decisions are operationalized. Second, how customers search for products priced dynamically, differentiated by business and private customers, as well as by different devices used for the search. Third, whether and how dynamic pricing influences the impact of internal reference prices on purchase decisions. Finally, this dissertation demonstrates that consumers perceive price changes as personalized in different purchase contexts, leading to reduced perceptions of fairness and undesirable behavioral consequences.
Book Synopsis The Oxford Handbook of Pricing Management by : Özalp Özer
Download or read book The Oxford Handbook of Pricing Management written by Özalp Özer and published by OUP Oxford. This book was released on 2012-06-07 with total page 976 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Pricing Management is a comprehensive guide to the theory and practice of pricing across industries, environments, and methodologies. The Handbook illustrates the wide variety of pricing approaches that are used in different industries. It also covers the diverse range of methodologies that are needed to support pricing decisions across these different industries. It includes more than 30 chapters written by pricing leaders from industry, consulting, and academia. It explains how pricing is actually performed in a range of industries, from airlines and internet advertising to electric power and health care. The volume covers the fundamental principles of pricing, such as price theory in economics, models of consumer demand, game theory, and behavioural issues in pricing, as well as specific pricing tactics such as customized pricing, nonlinear pricing, dynamic pricing, sales promotions, markdown management, revenue management, and auction pricing. In addition, there are articles on the key issues involved in structuring and managing a pricing organization, setting a global pricing strategy, and pricing in business-to-business settings.
Book Synopsis Dynamic Pricing in the Presence of Social Externalities and Reference-price Effect by : Jafar Chaab
Download or read book Dynamic Pricing in the Presence of Social Externalities and Reference-price Effect written by Jafar Chaab and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dynamic Pricing with Demand Model Uncertainty by : Mr. Nuri Bora Keskin
Download or read book Dynamic Pricing with Demand Model Uncertainty written by Mr. Nuri Bora Keskin and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Pricing decisions often involve a tradeoff between learning about customer behavior to increase long-term revenues, and earning short-term revenues. In this thesis we examine that tradeoff. Whenever a firm is not certain about how its customers will respond to price changes, there is an opportunity to use price as a tool for learning about a demand curve. Most firms try to solve the tradeoff between learning and earning by managing these two goals separately. A common practice is to first estimate the parameters of the demand curve, and then choose the optimal price, assuming the parameter estimates are accurate. In this thesis we show that this conventional approach is far from being optimal, running the risk of incomplete learning--a negative statistical outcome in which the decision maker stops learning prematurely. We also propose several remedies to avoid the incomplete learning problem, and guard against poor performance. In Chapter 1, we model a learn-and-earn problem using a theoretical framework in which a seller has a prior belief about the demand curve for its product, and updates his belief upon observing customer responses to successive sales attempts. We assume that the seller's prior is a binary distribution, i.e. one of two demand curves is known to apply, although our analysis can be extended to any finite prior. In this setting, we first analyze the myopic Bayesian policy (MBP), which is a stylized representative of the estimate-and-then-optimize policies described above. Our analysis makes three contributions to the literature: first, we show that under the MBP the seller's beliefs can get stuck at a confounding value, leading to poor revenue performance. This result elucidates incomplete learning as a consequence of myopic pricing. Our second contribution is the development of a constrained variant of the MBP as a way to tweak the MBP in the binary-prior setting. By forbidding prices that are not sufficiently informative, constrained MBP (CMBP) avoids the incomplete learning problem entirely, and moreover, its expected performance gap relative to a clairvoyant who iv knows the underlying demand curve is bounded by a constant independent of the sales horizon. Finally, we generalize the CMBP family to obtain more flexible pricing policies that are suitable in case the seller has an arbitrary prior on model parameters. The incomplete learning result and the pricing policies we design have a practical significance. Because firms have no means to check whether they are suffering from incomplete learning, the myopic policies used in practice need to be modified with some kind of forced price experimentation, and our policies provide guidelines on how price experimentation can be employed to prevent incomplete learning. In Chapter 2, we consider several research questions: for example, when a seller has been charging an incumbent price for a very long time, how can he make use of the information contained in that incumbent price? Or, when a seller offers multiple products with substitutable demand, can he safely employ an independent price experimentation strategy for each product? More importantly, what if the particular pricing policies in literature are not feasible in a given business setting? To handles such cases, can we derive general principles that identify the essential ingredient of successful price experimentation policies? We address these questions using a fairly general dynamic pricing model, where a monopolist sells a set of products over a given time horizon. The expected demand for products is given by a linear curve, the parameters of which are not known by the seller. The seller's goal is to learn the parameters of the demand curve as he keeps trying to earn revenues. This chapter makes four main contributions to the learning-and-earning literature. First, we formulate an incumbent-price problem, where the seller starts out knowing one point on its demand curve, and show that the value of information contained in the incumbent price is substantial. Second, unlike previous studies that focus on a particular form of price experimentation, we derive general sufficient conditions for accumulating information in a near-optimal manner. We believe that practitioners can use these conditions as guidelines to design successful pricing policies in various settings. Third, we develop a unifying theme to obtain performance bounds in operations management problems with model uncertainty. We employ (i) the concept of Fisher information to derive natural lower bounds on regret, and (ii) martingale theory to analyze the estimation errors and generate well-performing policies. Finally, we analyze the pricing of multiple products with substitutable demand. Our analysis shows that multi-product pricing is not a straightforward repetition of single-product pricing. Learning in a high dimensional price space essentially requires sufficient "variation" in the directions of successive price vectors, which brings forth the idea of orthogonal pricing. In Chapter 3, we extend our analysis to the case where information can become obsolete. The particular dynamic pricing problem we consider includes a seller who tries to simultaneously learn about a time-varying demand curve, and earn sales revenues. We conduct a simulation study to evaluate the revenue performance of several pricing policies in this setting. Our results suggest that policies designed for static demand settings do not perform well in time-varying demand settings. Moreover, if the demand environment is not very noisy and the changes are not very frequent, a simple modification of the estimate-and-then-optimize approach, which is based on a moving time window, performs reasonably well in changing demand environments.
Book Synopsis Profiting from Demand Uncertainty by : Xuying Zhao
Download or read book Profiting from Demand Uncertainty written by Xuying Zhao and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is demand uncertainty a devil? A conventional thought is that demand uncertainty hurts a seller's profit. However, we show that demand uncertainty could favor a seller if the pricing mechanism is designed properly. Specifically, we study the optimal pricing strategy in advance selling with both consumer demand and valuation uncertainties. Three strategies are considered and compared: dynamic pricing (DP), price commitment (PC), and pre-order price guarantee (PG). We show that consumer valuation and demand uncertainties in the advance selling period play important roles in determining the optimal pricing strategy. When pre-order demand uncertainty or consumer valuation uncertainty is high, a seller should use PG, which enables the seller to profit from demand uncertainty. Otherwise, PC is the optimal strategy. Furthermore, PG, while increasing a seller's profits, reduces consumer surplus, which may lead to a lower social welfare compared to the other two strategies.
Book Synopsis Dynamic Pricing and Inventory Management Under Fluctuating Procurement Costs by : Guang Xiao
Download or read book Dynamic Pricing and Inventory Management Under Fluctuating Procurement Costs written by Guang Xiao and published by . This book was released on 2015 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: We consider a periodic review joint pricing and inventory control model in which a firm faces both stochastic demand and fluctuating procurement costs. To address procurement cost fluctuation, the firm adopts a dual-sourcing strategy, under which it procures from a spot market with immediate delivery and through a forward-buying contract with postponed delivery. Our analysis offers the unique insight that a risk-neutral firm may earn higher expected profit under a more volatile procurement cost process. This is because the firm makes its pricing and sourcing decisions in response to the realized cost in each period. Moreover, we characterize how the firm should dynamically adjust its pricing and sourcing decisions in accordance to cost evolution. For example, if sourcing through the forward-buying contract is less expensive than sourcing directly from the spot market, the optimal safety stock is decreasing in the current spot market purchasing cost. However, the optimal order quantity through the forward-buying contract is, in general, not monotone in the current spot-purchasing cost. Finally, we conduct extensive numerical experiments to show that dynamic pricing and dual-sourcing may be either strategic complements or substitutes in the presence of fluctuating procurement costs and uncertain demand. This is because dynamic pricing mitigates demand uncertainty risk and exploits procurement cost fluctuation, while dual-sourcing may either intensify or dampen demand risk.
