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Contemporary organizations need to be able to dynamically a dapt, improve and analyze their business processes. While many approaches are available in literature, few of them tend to use typical engineering concepts for this purpose. In this paper, we employ the concept of entr opy as defined in statistical thermodynamics to advance the field of business process analysis. After review ing some existing literature on entropy and its application in business topics, we show how earlier insight from entropy reasoning in Normalized Systems theory may offer opportunities to be applied in business pro cess engineering as well. The necessary entropy concepts are defined in a business process context, entropy o ccurence in business processes is illustrated and some initial principles for controlling the resulting entr opy are discussed. Finally, some implications for both theory and practice (e.g., Service-Oriented Architecture s) are reviewed.

On the Applicability of the Notion of Entropy for Business Process Analysis