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Towards a Capability Model for Big Data Analytics

Type
conference paper
Date Issued
2017-02
Author(s)
Dremel, Christian  
;
Overhage, Sven
;
Schlauderer, Sebbastian
;
Wulf, Jochen  
Abstract
Big data analytics is becoming a veritable source of competitive advantageas it helps companies to better understand their business environment and to create or improve their products and services accordingly. However, big data analytics also poses challenges to organizations with respect to establishing the required capabilities. Building upon a design science research approach and the Work System Theory as a kernel theory, we identify several capabilities necessary to leverage the potential of big data analytics. To achieve this goal, we conducted 16 interviews with experts from an IT-strategy consulting firm. We furthermore organize the identified capabilities into a coherent model. The resulting capability model consists of eight capability groups that contain 34 capabilities. It provides a basis to systematically develop the necessary capabilities for the adoption und strategic usage of big data analytics.
Language
English
Keywords
big data analytics
capability model
work system theory
design science
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Event Title
Proceedings of the 13th International Conference on Wirtschaftsinformatik
Event Location
St. Gallen, Switzerland
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/102666
Subject(s)

business studies

Division(s)

IWI - Institute of In...

Eprints ID
250748
Support
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