Evaluations of Process Modeling Grammars Ontological, Qualitative an
Business processes have emerged as a well-respected variable in the design of successful corporations. However, unlike other key managerial variables, such as products and services, customers and employees, physical or digital assets, the conceptualizatio
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Jan Recker
Evaluations of Process Modeling Grammars Ontological, Qualitative and Quantitative Analyses Using the Example of BPMN
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Author Jan Recker Queensland University of Technology 126 Margaret Street, Brisbane QLD 4000, Australia E-mail: [email protected]
ISSN 1865-1348 e-ISSN 1865-1356 e-ISBN 978-3-642-18360-7 ISBN 978-3-642-18359-1 DOI 10.1007/978-3-642-18360-7 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2010942581 ACM Computing Classification (1998): J.1, H.3.5, H.4.1, K.4.3
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To Laura and my family
Foreword
Business processes have emerged as a well-respected variable in the design of successful corporations. However, unlike other key managerial variables such as products and services, customers and employees, physical or digital assets (e.g., data, information), the conceptualization and management of business processes are in many respects in their infancy. One of the issues in this context is the appropriate, consistent, valid and reliable description of business processes by means of business process modeling. This book explores on an extraordinary high level of conceptualization and scientific rigor the current capabilities of the most prominent process modeling grammar BPMN. In particular, it aims to explain and predict how process analysts arrive at an opinion about the quality of a process modeling grammar, and thereby ultimately why they would continue working with the grammar. An established theory of ontological expressiveness provides the foundation and sensitizing device for the identification of a number of issues with the BPMN grammar. Jan Recker set out to empirically test these issues via a set of 19 interviews as well as a thoroughly designed survey instrument. The subsequent consolidation of over 500 responses of process modeling professionals does not only provide the study outcomes with high statistical significance, but also clearly demonstrates the great i
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