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See detailWhen the Going Gets Tough, Do the Tough Go Shopping?
Pan, Xiaodan; Dresner, Martin; Mantin, Benny UL

in Journal of Business Logistics (2022), 44(1), 61-79

This study examines the impacts of consumer confidence on stockpiling behavior and, subsequently, retail inventory management. We show how stockpiling behavior evolved during the “Great Recession” of 2008 ... [more ▼]

This study examines the impacts of consumer confidence on stockpiling behavior and, subsequently, retail inventory management. We show how stockpiling behavior evolved during the “Great Recession” of 2008-2009 as consumer confidence waned and demonstrate the impact of this development on inventory management. Drawing on the two-segment household inventory theory consisting of non-stockpiling and stockpiling segments, we use a panel dataset (2005-2015) to calibrate household inventory holdings. This dataset then serves as input for a retailer-level case study. Our empirical analysis reveals significant impacts from changing stockpiling behavior. When consumer confidence is low, both stockpiling and non-stockpiling segments respond by reducing weekly consumption rates; however, the stockpiling segment also significantly lengthens the time between shopping trips, and ultimately increases the duration of inventory holdings. These changes to consumption and stockpiling add complexity to inventory planning, requiring retailers to carefully adjust inventory levels to maintain service levels. [less ▲]

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See detailMake-or-buy decisions for industrial additive manufacturing
Friedrich, Anne UL; Lange, Anne UL; Elbert, Ralf

in Journal of Business Logistics (2022)

Much of the potential of industrial additive manufacturing (AM) is said to lie in the digital specification of components that can be transmitted seamlessly and unambiguously to partners fostering ... [more ▼]

Much of the potential of industrial additive manufacturing (AM) is said to lie in the digital specification of components that can be transmitted seamlessly and unambiguously to partners fostering flexible outsourcing. In industry, we observe nuanced AM supply chain governance structures that result from make-or-buy decisions, with a tendency to implement AM in-house. Thus, there is a discrepancy between what is discussed in the literature and implemented in practice. We apply a multiple-case study approach to investigate why and how AM impacts the make-or-buy decision of manufacturing firms. We identify four decision profiles demonstrating the spectrum of specific governance structures and develop a framework to explain the underlying rationales. We find strong arguments for in-house AM including firms’ perceived need to protect their digitally encapsulated intellectual property, reevaluation of their core competencies, commitment to internal learning, and senior management's enthusiasm for AM. By using transaction cost economics and the resource-based view, we contribute to the understanding of how arguments of these general theories are modified by the digital and emerging traits of AM. We reveal contradicting guidance in the theories’ argumentation for the case of AM and provide managers a clear perspective on alternative strategies for their AM implementation process. © 2022 The Authors. Journal of Business Logistics published by Wiley Periodicals LLC. [less ▲]

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