Mikaella Polyviou, M. Johnny Rungtusanatham, Thomas J. Kull
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引用次数: 2
Abstract
The supply management literature assumes that supplier selection is devoid of emotions and unaffected by the history and experience associated with a previously-selected supplier. In this paper, we relax these assumptions. Specifically, we consider the following sourcing opportunity: a sourcing professional had (alternatively, had not) recommended a critical-component supplier that originated an avoidable (alternatively, unavoidable) supply disruption (aka, the “disrupted supplier”). In the aftermath of this supply disruption, the sourcing professional is asked to recommend a supplier for a new-to-beoutsourced critical component (i.e., one unrelated to the component whose flow was interrupted), taking into consideration the influence of guilt as an emotional reaction to the supply disruption. Analyses of data from 286 sourcing professionals participating in a scenario-based, roleplaying experiment reveal that sourcing professionals experience higher levels of guilt when (a) they (versus their predecessor) had been responsible for selecting a disrupted supplier and (b) they deem the supply disruption to be controllable (versus uncontrollable) by the disrupted supplier. Guilt-laden sourcing professionals are then more likely to recommend a riskier albeit more advantageous supplier for a new-to-be-outsourced critical component. Our results provide the first evidence that prior supplier selection decisions gone awry influence future supplier selection decisions through the emotion of guilt. Moreover, they demonstrate that supply disruptions in one context have carryover effects on future sourcing decisions in unrelated contexts—an insight that is absent from the literature on supply disruptions.
期刊介绍:
Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.