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Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.
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Ambidextrous Organizations in the Big Data Era The Role of Information Systems Riccardo Rialti Giacomo Marzi Ambidextrous Organizations in the Big Data Era Riccardo Rialti · Giacomo Marzi Ambidextrous Organizations in the Big Data Era The Role of Information Systems Riccardo Rialti Department of Economics and Management University of Florence Florence, Italy Giacomo Marzi Lincoln International Business School University of Lincoln Lincoln, Lincolnshire, UK ISBN 978-3-030-36584-4 (eBook) ISBN 978-3-030-36583-7 https://doi.org/10.1007/978-3-030-36584-4 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are solely and exclusively licensed 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, expressed 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. Cover illustration: © Melisa Hasan This Palgrave Pivot imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Contents 1 The Modern Organization, Data, and Better Performances 1 References 4 2 Setting the Stage: BDA, Dynamic Capabilities and Ambidexterity, What We Know So Far? 5 2.1 Big Data: A Revolution Arrived 6 2.2 What Is Big Data? Towards a Consensual Definition 8 2.3 BDA, Dynamic Capabilities, Ambidexterity and Performance 12 2.4 Exploring Existing Literature on Big Data, Dynamic Capabilities and Ambidexterity: Defining the Research Methods 16 2.5 Results of Bibliometric Analysis 20 2.6 Systematic Review of Literature 22 2.6.1 Blue Cluster: Big Data, Dynamic Capabilities, Supply Chain Management and Performance 23 2.6.2 Red Cluster: Big Data, Dynamic Capabilities, Production Processes, and Manufacturing 28 v vi Contents 2.6.3 Green Cluster: Big Data, Dynamic 29 Capabilities, and Strategy Making 2.6.4 Yellow Cluster: Knowledge Exploitation 30 Through BDA Systems 2.6.5 Purple Cluster: BDA and Performance 31 Related Outcomes 2.7 What’s Next? 32 References 33 3 From Big Data to Performance: The Importance of Ambidexterit