TY - GEN
T1 - Analysis of big data enabled business models using a value chain perspective
AU - Sadovskyi, Oleksandr
AU - Engel, Tobias
AU - Heininger, Robert
AU - Böhm, Markus
AU - Krcmar, Helmut
PY - 2014
Y1 - 2014
N2 - 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 value chain activities big data is used to gain competitive advantage, showing a research gap in the logistics field. We conclude with a discussion on necessary research fields and research agenda in order to stimulate big data-oriented approaches for the creation of new business models.
AB - 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 value chain activities big data is used to gain competitive advantage, showing a research gap in the logistics field. We conclude with a discussion on necessary research fields and research agenda in order to stimulate big data-oriented approaches for the creation of new business models.
UR - https://www.scopus.com/pages/publications/84984674664
M3 - Conference contribution
AN - SCOPUS:84984674664
T3 - Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014
SP - 1125
EP - 1137
BT - Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014
A2 - Kundisch, Dennis
A2 - Beckmann, Lars
A2 - Suhl, Leena
PB - University of Paderborn
T2 - Multikonferenz Wirtschaftsinformatik, MKWI 2014 - Multi-Conference on Business Informatics, MKWI 2014
Y2 - 26 February 2014 through 28 February 2014
ER -