The replication of a business model across different geographic locations is the main form of growth for multi-unit replicating organizations such as Starbucks, Walmart, Planet Fitness, or Uber. While extant research has documented that the individual units of replicating organizations tend to engage in local adaptation, it has offered conflicting conclusions on the performance consequences of such unit-level adaptation. This paper argues that distinguishing between two qualitatively distinct types of unit- level adaptation – incomplete replication, which consists of the omission of required template elements, and augmentation, which consists of the addition of optional elements that are not among the required template elements – may help reconcile the existing disagreement in the literature. We develop theoretical propositions on the effects of incomplete replication and augmentation on unit performance in replicating organizations and subject them to an empirical examination. Using a unique dataset that tracks unit-level adaptation in a large, U.S.-based franchise organization over a period of eleven years, we find that these two types of adaptation have opposing effects on unit performance: while incomplete replication increases a focal unit’s likelihood of failure, augmentation reduces it. This study, thus, moves the debate away from an either-or replication dilemma toward a view of replication strategy as a duality of stability and change.
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