A century ago, Taylor published a landmark in the organisational sciences: his Principles of Scientific Management. Many researchers have elaborated on Taylor's principles, or have been influenced otherwise. The authors of the current paper evaluate a century of enterprise development, and conclude that a paradigm shift is needed for dealing adequately with the challenges that modern enterprises face. Three generic goals are identified. The first one, intellectual manageability, is the basis for mastering complexity; current approaches fall short in assisting professionals to master the complexity of enterprises and enterprise changes. The second goal, organisational concinnity, is conditional for making strategic initiatives operational; current approaches do not, or inadequately, address this objective. The third goal, social devotion, is the basis for achieving employee empowerment as well as knowledgeable management and governance; modern employees are highly educated knowledge workers; yet, the mindset of managers has not evolved accordingly. The emerging discipline of Enterprise Engineering, as conceived by the authors, is considered to be a suitable vehicle for achieving these goals. It does so by providing new, powerful theories and effective methodologies. A theoretical framework is presented for positioning the theories, goals, and fundamentals of enterprise engineering in four classes: philosophical, ontological, ideological and technological.

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Abstract. Abstract. The field of communicative action‐based modelling of business processes and information systems has attracted more and more attention in recent years. Inspired by the seminal work of Winograd and Flores, researchers have proposed several modelling approaches. In this article we discuss communicative action‐based modelling approaches in general and the DEMO (dynamic essential modelling of organizations) approach in particular. Besides establishing the theoretical foundations of this modelling approach, we also apply DEMO to a case study, and we discuss how the resulting models can be used for information systems design and business process optimization.

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