The Support of Decision Processes with Business Intelligence and Analytics

In his research, Martin Kowalczyk empirically investigates the challenges of designing and establishing successful decision support with Business Intelligence and Analytics (BI&A). The results from his work elucidate organizational and individual pers

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The Support of Decision Processes with Business Intelligence and Analytics Insights on the Roles of Ambidexterity, Information Processing and Advice

The Support of Decision Processes with Business Intelligence and Analytics

Martin Kowalczyk

The Support of Decision Processes with Business Intelligence and Analytics Insights on the Roles of Ambidexterity, Information Processing and Advice With a preface by Prof. Dr. Peter Buxmann

Martin Kowalczyk Darmstadt, Germany Dissertation an der Technischen Universität Darmstadt, Fachbereich Rechts- und Wirtschaftswissenschaften Erstgutachter: Prof. Dr. Peter Buxmann Zweitgutachter: Prof. Dr. Oliver Hinz Einreichungstermin 18. November 2015 Prüfungstermin: 10.März 2016 Hochschulkennziffer: D 17

ISBN 978-3-658-19229-7 ISBN 978-3-658-19230-3  (eBook) DOI 10.1007/978-3-658-19230-3 Library of Congress Control Number: 2017950492 Springer Vieweg © Springer Fachmedien Wiesbaden GmbH 2017 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. Printed on acid-free paper This Springer Vieweg imprint is published by Springer Nature The registered company is Springer Fachmedien Wiesbaden GmbH The registered company address is: Abraham-Lincoln-Str. 46, 65189 Wiesbaden, Germany

Foreword The support of managerial decision making with Business Intelligence and Analytics (BI&A) has gained high priority in many businesses and the importance of this topic is recognized among practitioners and scholars alike. Prior related research in decision support and information systems mainly investigated the technological perspective of introducing and using such decision support systems. Thereby the decision process perspective of supporting managerial decisions with BI&A remained largely unexplored. Furthermore, extant research mainly focused on individual decision makers or groups of equal peers without considering the need for specialization and

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