Analytics, Innovativeness, and Innovation Performance





Professorship/Faculty: Juniorprofessur für Betriebswirtschaftslehre, insbesondere Marketing Intelligence ; Sales and Marketing  
Author(s): Wölfl, Steffen; Leischnig, Alexander ; Ivens, Björn Sven  ; Hein, Daniel
Title of the compilation: Proceedings of the 38th International Conference on Information Systems
Corporate Body: Thirty Eighth International Conference on Information Systems, South Korea 2017
Publisher Information: AIS Electronic Library (AISeL)
Year of publication: 2017
Pages: 12 ; Online-Ressource
Series ; Volume: Proceedings of the 38th International Conference on Information Systems
Language(s): English
URL: http://aisel.aisnet.org/cgi/viewcontent.cgi?art...
Abstract: 
Based on organizational information processing theo
ry, this paper develops and tests a research model to deepen the understanding about the conditions under which the use of data analytics contributes to innovation performance. This paper suggests that firm
innovativeness, as an organization cultural concept
, should moderate the relationship between data analytics use and innovation performance. The results of a moderation
analysis based on data from cross-sectional survey
support this account. The findings indicate a significant inversely U-shaped effect of innovativeness on the relationship between data analytics use and innovation performance. The effect of data analytics use on innovation performance is strongest under medium
levels of innovativeness but comparatively weaker when firms have a low or a high level of innovativeness. These
insights contribute to the IS literature by clarifying the important role of firm cultural factors in shaping information needs and deployment of information processing capabilities.
Keywords: Analytics, innovativeness, innovation performance, nonlinear moderation
Peer Reviewed: Ja
International Distribution: Ja
Document Type: Conferenceobject
URI: https://fis.uni-bamberg.de/handle/uniba/43016
Year of publication: 8. January 2018