The power and limits of modularity: A replication and reconciliation

Research Summary: We ask two questions: First, what are the underlying mechanisms that explain the power of modularity? Second, is the power of modularity robust in nonmodular problems? We replicate and then reconcile the key results in two prior models on modularity: E&L and S‐search. Our results yield several important insights. First, a significant portion of the advantage enjoyed by S‐search is attributed to multi‐bit mutation. Second, organization‐evaluation needs to be used in combination with multi‐bit mutation. Third, when the underlying problem structure becomes nonmodular, S‐search outperforms E&L search, even though the advantage is reduced. More generally, organizational designers need to pay close attention to how different elements of modular search interact, and avoid making incremental adjustments. Managerial Summary: Modularity in product or organizational design is an approach that divides a system into smaller modules and attempts to augment the system level performance by experimenting with new modules. Because of its potential benefits such as parallel problem solving, adaptability in turbulent environment, or high speed in experimentation, both scholars and practitioners subscribed to the “power of modularity” thesis. Despite its popularity, there are significant number of cases where the superiority of modular design does not hold. We compare and contrast two representative prior studies that had different views on modeling organizational evolution under a modular design principle. By doing so, we are able to uncover what contributes to the superiority of modular design. Our results suggest that, when conducting experimentation under a modular design, it is important to (a) experiment multiple decision components simultaneously within a single module; and (b) allow evaluation of the changes to be made by the module‐level manager not by the organization‐level manager. When the manager does not know whether the modularity in organizational design fits with the modularity in the task, it is advised to do multiple experimentation in a single module at a time while allowing the organization‐level manager to evaluate the changes.