Integrating Business Process Models and Rules Empirical Evidence and
This book combines multiple research methods, experiment, survey, and design science, as well as traditional measurements and neurophysiological techniques that can capture a variety of cognitive behaviors in human information processing, providing more s
- PDF / 8,414,849 Bytes
- 138 Pages / 439.371 x 666.143 pts Page_size
- 53 Downloads / 201 Views
Wei Wang
Integrating Business Process Models and Rules Empirical Evidence and Decision Framework
123
Lecture Notes in Business Information Processing Series Editors Wil van der Aalst RWTH Aachen University, Aachen, Germany John Mylopoulos University of Trento, Trento, Italy Michael Rosemann Queensland University of Technology, Brisbane, QLD, Australia Michael J. Shaw University of Illinois, Urbana-Champaign, IL, USA Clemens Szyperski Microsoft Research, Redmond, WA, USA
343
More information about this series at http://www.springer.com/series/7911
Wei Wang
Integrating Business Process Models and Rules Empirical Evidence and Decision Framework
123
Wei Wang School of Information Technology and Electrical Engineering University of Queensland Brisbane, QLD, Australia
This book is a revised version of the PhD dissertation written by the author at the School of Information Technology and Electrical Engineering of the University of Queensland, Australia. ISSN 1865-1348 ISSN 1865-1356 (electronic) Lecture Notes in Business Information Processing ISBN 978-3-030-11808-2 ISBN 978-3-030-11809-9 (eBook) https://doi.org/10.1007/978-3-030-11809-9 Library of Congress Control Number: 2018967684 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To my beloved parents and relatives 谨以此书献给我亲爱的父母和亲人们
Preface
This book encompasses a revised version of the PhD dissertation written by the author, at the School of Information Technology and Electrical Engineering of the University of Queensland (Australia). In 2018, the PhD dissertation won the “CAiSE PhD Award,” granted to outstanding PhD theses in the field of information systems engineering. Over the past two decades,
Data Loading...
