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Document type:
Konferenzbeitrag 
Author(s):
Sadovskyi, Oleksandr; Engel, Tobias; Heininger, Robert; Böhm, Markus; Krcmar, Helmut 
Non-TUM Co-author(s):
nein 
Cooperation:
Title:
Analysis of Big Data enabled Business Models using a Value Chain Perspective 
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 
Book / Congress title:
Multikonferenz Wirtschaftsinformatik (MKWI 2014) 
Congress (additional information):
Paderborn, Germany 
Year:
2014 
Month:
Feb 
Key publication:
Nein 
Peer reviewed:
Ja 
International:
Ja 
Book review:
Nein 
Commissioned:
not commissioned 
Professional Journal:
Nein 
Interdisciplinarity:
Ja