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Titel:

Analysis of Big Data enabled Business Models using a Value Chain Perspective

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Sadovskyi, Oleksandr; Engel, Tobias; Heininger, Robert; Böhm, Markus; Krcmar, Helmut
Nicht-TUM Koautoren:
nein
Kooperation:
-
Abstract:
This paper evaluates the current state-of-the-art in big data research through conducting an analysis of currently available publications. It describes characteristics of big data, evaluates trends in research and defines the best practices and challenges in adoption of big data-driven business models in organizations. Reflecting on the available showcases and case studies, it is shown how key industries in the private and public sectors innovate with big data. We describe in detail in which val...     »
Intellectual Contribution:
Discipline-based Research
Kongress- / Buchtitel:
Multikonferenz Wirtschaftsinformatik (MKWI 2014)
Kongress / Zusatzinformationen:
Paderborn, Germany
Jahr:
2014
Monat:
Feb
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
commissioned:
not commissioned
Professional Journal:
Nein
Interdisziplinarität:
Ja
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