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  • 1
    UID:
    almafu_9958145984602883
    Format: 1 online resource (xvii, 237 pages) : , illustrations (black and white); digital, PDF file(s).
    ISBN: 9783631718902 , 363171890X
    Series Statement: Personalmanagement und Organisation ; volume 5
    Content: Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization’s new competitive advantage is its employees augmented by big data.
    Note: 1. Introduction --2. Theoretical framework --3. Research framework --4. Analytical implementation --5. Results --References.
    Additional Edition: Print version : ISBN 9783631718902
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Frankfurt am Main ; Bern ; Bruxelles ; New York ; Oxford ; Warszawa ; Wien : PL Academic Research
    UID:
    b3kat_BV044233148
    Format: 1 Online-Ressource (XVII, 237 Seiten) , Diagramme
    ISBN: 9783631719039 , 9783631719046 , 9783631719053
    Series Statement: Personalmanagement und Organisation Band 5
    Note: Dissertation Universität Siegen 2016
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-631-71890-2
    Language: English
    Subjects: Computer Science , Economics
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Organisationswandel ; Personalwesen ; Big Data ; Wissensmanagement ; Hochschulschrift
    URL: Volltext  (kostenfrei)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    UID:
    edocfu_9958145984602883
    Format: 1 online resource (xvii, 237 pages) : , illustrations (black and white); digital, PDF file(s).
    ISBN: 9783631718902 , 363171890X
    Series Statement: Personalmanagement und Organisation ; volume 5
    Content: Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization’s new competitive advantage is its employees augmented by big data.
    Note: 1. Introduction --2. Theoretical framework --3. Research framework --4. Analytical implementation --5. Results --References.
    Additional Edition: Print version : ISBN 9783631718902
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    almahu_9949711474202882
    Format: 1 online resource (xvii, 237 pages) : , illustrations (black and white); digital, PDF file(s).
    ISBN: 9783631718902 , 363171890X
    Series Statement: Personalmanagement und Organisation ; volume 5
    Content: Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization’s new competitive advantage is its employees augmented by big data.
    Note: 1. Introduction --2. Theoretical framework --3. Research framework --4. Analytical implementation --5. Results --References.
    Additional Edition: Print version : ISBN 9783631718902
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    edoccha_9958145984602883
    Format: 1 online resource (xvii, 237 pages) : , illustrations (black and white); digital, PDF file(s).
    ISBN: 9783631718902 , 363171890X
    Series Statement: Personalmanagement und Organisation ; volume 5
    Content: Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization’s new competitive advantage is its employees augmented by big data.
    Note: 1. Introduction --2. Theoretical framework --3. Research framework --4. Analytical implementation --5. Results --References.
    Additional Edition: Print version : ISBN 9783631718902
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften
    UID:
    almahu_9948168582102882
    Format: 1 online resource , 25 ill.
    Edition: 1st, New ed.
    ISBN: 9783631719039
    Series Statement: Personalmanagement und Organisation 5
    Content: 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.
    Note: Doctoral Thesis , Big Data – Human Resource Management – Organization – Complex Systems Theory – Socio-Technological Concurrence – Homeodynamic Organization – Data Constructivism – New Roles of the Human Resource Department – Ethical Big Data Usage – Big Data Watchdog – Big Data Gap
    Additional Edition: ISBN 9783631719046
    Additional Edition: ISBN 9783631719053
    Additional Edition: ISBN 9783631718902
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    gbv_1678589373
    Format: 1 Online-Ressource (xvii, 237 pages)
    ISBN: 363171890X , 9783631718902
    Series Statement: Personalmanagement und Organisation Band 5
    Note: Includes bibliographical references (pages 177-237)
    Additional Edition: Erscheint auch als Druck-Ausgabe Scholz, Tobias Big data in organizations and the role of human resource management Frankfurt am Main : Peter Lang, [2017]
    Language: English
    Author information: Scholz, Tobias M. 198X-
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    UID:
    kobvindex_INT0003036
    Format: 1 electronic resource (xvii, 237 pages) : , illustrations.
    ISBN: 9783631718902 , 363171890X , 9783631719039 , 3631719035
    Series Statement: Personalmanagement und Organisation ; 05
    Content: MACHINE-GENERATED SUMMARY NOTE: "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."
    Note: DISSERTATION NOTE: originally submitted as doctoral thesis, Universität Siegen, 2016. , MACHINE-GENERATED CONTENTS NOTE: List of figures -- List of tables -- INTRODUCTION : Statement of the problem ; State of research ; Terminological clarification ; Objective of the thesis -- THEORETICAL FRAMEWORK : Big data ; Big data at the socio-technological level ; Big data at the organizational level ; Big data at the human (resource) level -- RESEARCH FRAMEWORK : Mental model ; Methodology -- ANALYTICAL IMPLEMENTATION : Core assumptions of big data within organizations ; Homeodynamic organization ; Homeodynamic goldilocks zone -- RESULTS : Summary ; Limitations ; Implications for human resource management ; Implications for research ; Implications for teaching ; Outlook -- References.
    Language: English
    Keywords: Academic theses
    URL: FULL
    Library Location Call Number Volume/Issue/Year Availability
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