Actualizing Affordances: A Socio-Technical Perspective on Big Data Analytics in the Automotive Sector

Item Type Conference or Workshop Item (Paper)
Abstract

Big data analytics affects organization in multiple ways, among others in regard to (1) new task possibilities for companies (i.e., affordances), (2) required technology implementations, (3) the development of peoples’ capabilities as well as a data-driven culture, and (4) the implementation of organizational structures that ensure collaboration across departmental boundaries. Drawing on a multiple-case study approach, we use affordance theory in conjunction with socio-technical systems theory to elaborate ex-ante required organizational changes as well as the subsequent actualization of big data analytics affordances. First results indicate that to actualize big data analytics’ affordances the successful adaption of components within the socio-technical system (i.e., actors, structures, and technology) is necessary. In this article, we report on our research design as well as preliminary results of an initial case analysis discussing organizational antecedents for the actualization of big data analytics affordances.

Authors Dremel, Christian; Herterich, Matthias; Wulf, Jochen & Spottke, Benjamin
Language English
Subjects business studies
information management
other research area
Institute/School ?? STUDENT ??
IWI - Institute of Information Management
?? 2440 ??
?? Inst IWI WB ??
?? PRS PPP PW ??
HSG Classification contribution to scientific community
HSG Profile Area SoM - Business Innovation
Date 2017
Event Title Proceedings of the 37th International Conference on Information Systems
Event Location Seoul, South Korea
Event Dates 13.12.2017-15.12.2017
Depositing User Christian Dremel
Date Deposited 27 Sep 2017 11:11
Last Modified 17 Jan 2018 15:48
URI: https://www.alexandria.unisg.ch/publications/252046

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Dremel, Christian; Herterich, Matthias; Wulf, Jochen & Spottke, Benjamin: Actualizing Affordances: A Socio-Technical Perspective on Big Data Analytics in the Automotive Sector. 2017. - Proceedings of the 37th International Conference on Information Systems. - Seoul, South Korea.

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https://www.alexandria.unisg.ch/id/eprint/252046
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