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Authors: Anke Schüll and Natalia Maslan

Affiliation: University of Siegen, Germany

Keyword(s): Big Data Analytics, BDA Adoption, TOE Framework, Dynamic Capabilities Theory.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Strategic Decision Support Systems

Abstract: Even though the number of papers on the adoption of big data analytics (BDA) has increased, the literature still only scratches the surface in terms of understanding the influential factors of BDA adoption. To cope with the complexity of these factors, this paper focuses on the influence of some of the most important factors regarding BDA and their interrelations. We followed the technology, organization, and environment framework (TOE framework), which is frequently used to explain the process of technology adoption, to examine the context of the decision-making process and combined it with insights from dynamic capability theory. This paper contributes to BDA research by extending the TOE framework towards a dynamic capability view. It assists in the decision-making process regarding the development of BDA capabilities by determining the most influential factors and their side effects, thereby helping to prioritize these factors and to encourage investments accordingly.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Schüll, A. and Maslan, N. (2018). On the Adoption of Big Data Analytics: Interdependencies of Contextual Factors. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 425-431. DOI: 10.5220/0006759904250431

@conference{iceis18,
author={Anke Schüll. and Natalia Maslan.},
title={On the Adoption of Big Data Analytics: Interdependencies of Contextual Factors},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2018},
pages={425-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006759904250431},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - On the Adoption of Big Data Analytics: Interdependencies of Contextual Factors
SN - 978-989-758-298-1
IS - 2184-4992
AU - Schüll, A.
AU - Maslan, N.
PY - 2018
SP - 425
EP - 431
DO - 10.5220/0006759904250431
PB - SciTePress