Organizational routines can be conceptualized as generative systems with internal structures and dynamics. In this paper, we propose three different ways that organizational routines can be approached as a unit of analysis. One option is to treat the entire routine as an undifferentiated 'black box'. A second option is to study particular parts of the routine in isolation (e.g. routines as patterns of action). A third option is to study the relationships between these parts and the processes by which the parts change. For some questions, routines can be taken as a unit of analysis without considering their internal structure, but there are many research questions for which it is useful to consider the parts of routines either separately or as they interact. We discuss the importance of understanding the internal structure and dynamics of organizational routines for exploring core organizational phenomena such as stability, change, flexibility, learning and transfer.
This paper introduces a generative model of organizational routines and their change over time. The model demonstrates that variation and selective retention of patterns of action are necessary and sufficient to explain the features of organizational routines that are most relevant in relation to dynamic capabilities, such as formation, inertia, endogenous change, and learning. The model directly links micro-level actions to the macro-level dynamics of routines. The results suggest that focusing on action provides a useful and parsimonious foundation for a theory of organizational routines and capabilities.
T his paper describes a novel theoretical and empirical approach to tasks such as business process redesign and knowledge management. The project involves collecting examples of how different organizations perform similar processes, and organizing these examples in an on-line "process handbook." The handbook is intended to help people: (1) redesign existing organizational processes, (2) invent new organizational processes (especially ones that take advantage of information technology), and (3) share ideas about organizational practices.A key element of the work is an approach to analyzing processes at various levels of abstraction, thus capturing both the details of specific processes as well as the "deep structure" of their similarities. This approach uses ideas from computer science about inheritance and from coordination theory about managing dependencies. A primary advantage of the approach is that it allows people to explicitly represent the similarities (and differences) among related processes and to easily find or generate sensible alternatives for how a given process could be performed. In addition to describing this new approach, the work reported here demonstrates the basic technical feasibility of these ideas and gives one example of their use in a field study.
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