Artikel

Big Data Analytics Capabilities: A Systematic Literature Review on Necessary Skills to Succeed in Big Data Analytics

While the amount of data keeps growing, managers ask themselves whether they already retrieve full value from their data. To maximize the value of big data, literature offers first insights in building BDA capabilities (Gupta and George 2016, p; Mikalef et al. 2018). Nevertheless, BDA remains a new field to researchers and companies. BDA frameworks, still offered scarcely, discuss roughly the same dimensions (incorporating some technical, human, and cultural aspects), but are only superficially discussed. This thesis builds a framework of the different approaches offered in literature. Furthermore, it is important to distinguish whether a new development as BDA can be seen as a trend topic or rather a long-lasting game changer for businesses. Here, this thesis discusses differences among digital capabilities, IT capabilities, that research stared addressing by 1990, and BDA capabilities. A major finding is that building IT capabilities is considered as an isolated responsibility of IT departments by, i.e., offering IT infrastructure to the whole company. BDA capabilities, on the contrary, cannot be planned and rolled out from one specific department – those need to be developed in every organizational unit; therefore, a data-driven culture is a key element in building BDA capabilities.

Sprache
Englisch

Erschienen in
Journal: Junior Management Science (JUMS) ; ISSN: 2942-1861 ; Volume: 7 ; Year: 2022 ; Issue: 5 ; Pages: 1224-1241

Klassifikation
Management
Thema
Big data analytics
Big data
Data analytics
Dynamic capabilities
Resource-based view

Ereignis
Geistige Schöpfung
(wer)
Richly, Marc A.
Ereignis
Veröffentlichung
(wer)
Junior Management Science e. V.
(wo)
Planegg
(wann)
2022

DOI
doi:10.5282/jums/v7i5pp1224-1241
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Richly, Marc A.
  • Junior Management Science e. V.

Entstanden

  • 2022

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