Abstract
We address the value of quick response production practices when selling to a forward-looking consumer population with uncertain, heterogeneous valuations for a product. Consumers have the option of purchasing the product early, before its value has been learned, or delaying the purchase decision until a time at which valuation uncertainty has been resolved. Whereas individual consumer valuations are uncertain ex ante, the market size is uncertain to the firm. The firm may either commit to a single production run at a low unit cost prior to learning demand, or commit to a quick response strategy that allows additional production after learning additional demand information. We find that the value of quick response is generally lower with strategic (forward-looking) customers than with nonstrategic (myopic) customers in this setting. Indeed, it is possible for a quick response strategy to decrease the profit of the firm, though whether this occurs depends on various characteristics of the market; specifically, we identify conditions under which quick response increases profit (when prices are increasing, when dissatisfied consumers can return the product at a cost to the firm) and conditions under which quick response may decrease profit (when prices are constant or when consumer returns are not allowed).
Journal Information
Management Science is a cross-functional, multidisciplinary examination of advances and solutions supporting enhanced strategic planning and management science. Includes relevant contributions from diverse fields: Accounting and finance Business strategy Decision analysis Information systems Manufacturing and distribution Marketing Mathematical programming and networks Organization performance Public sector applications R&D;/innovation Stochastic models and simulation Strategy and design Supply chain management
Publisher Information
With over 12,500 members from around the globe, INFORMS is the leading international association for professionals in operations research and analytics. INFORMS promotes best practices and advances in operations research, management science, and analytics to improve operational processes, decision-making, and outcomes through an array of highly-cited publications, conferences, competitions, networking communities, and professional development services.
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Management Science ©
2011 INFORMS
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