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Big Data in Organizations and the Role of Human Resource Management

A Complex Systems Theory-Based Conceptualization

Series:

Tobias M. Scholz

Big data are changing the way we work as companies face an increasing amount of data. Rather than replacing a human workforce or making decisions obsolete, big data are going to pose an immense innovating force to those employees capable of utilizing them. This book intends to first convey a theoretical understanding of big data. It then tackles the phenomenon of big data from the perspectives of varied organizational theories in order to highlight socio-technological interaction. Big data are bound to transform organizations which calls for a transformation of the human resource department. The HR department’s new role then enables organizations to utilize big data for their purpose. Employees, while remaining an organization’s major competitive advantage, have found a powerful ally in big data.

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Bibliographic Information published by the Deutsche Nationalbibliothek

The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the internet at http://dnb.d-nb.de.

Zugl.: Siegen, Univ., Diss., 2016



Library of Congress Cataloging-in-Publication Data

Names: Scholz, Tobias, author.

Title: Big data in organizations and the role of human resource management : a complex systems theory-based conceptualization / Tobias M. Scholz.

Description: New York : Peter Lang, [2017] | Series: Personalmanagement und

Organisation ; Vol. 5 | Includes bibliographical references.

Identifiers: LCCN 2016059623

Subjects: LCSH: Personnel management–Research. | Big data. | System theory.

Classification: LCC HF5549.A27 S36 2017 | DDC 658.4/03801–dc23 LC record available

at https://lccn.loc.gov/2016059623



This book is an open access book and available on www.oapen.org and

www.peterlang.com. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 which means that the text may be used for noncommercial purposes, provided credit is given to the author. For details go to

http://creativecommons.org/licenses/by-nc-nd/4.0/

D 467

ISSN 1868-940X

ISBN 978-3-631-71890-2 (Print)

E-ISBN 978-3-631-71903-9 (E-PDF)

E-ISBN 978-3-631-71904-6 (EPUB)

E-ISBN 978-3-631-71905-3 (MOBI)

DOI 10.3726/b10907



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All rights reserved.

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This publication has been peer reviewed.



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