Boosting innovation performance through big data analytics: An empirical investigationon the role of firm agility

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F23%3A00133993" target="_blank" >RIV/00216224:14560/23:00133993 - isvavai.cz</a>
Result on the web
<a href="https://journals.sagepub.com/doi/full/10.1177/01655515211047425" target="_blank" >https://journals.sagepub.com/doi/full/10.1177/01655515211047425</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/01655515211047425" target="_blank" >10.1177/01655515211047425</a>

Result language
angličtina
Original language name
Boosting innovation performance through big data analytics: An empirical investigationon the role of firm agility
Original language description
While past studies proposed the role of big data analytics (BDA) as one of the primary pathways to business value creation, current knowledge on the link between BDA and innovation performance remains limited. In this regard, this study intends to fill this research gap by developing a theoretical framework for understanding how and under which mechanisms BDA influences innovation performance. Firm agility (conceptualised as sensing agility, decision-making agility and acting agility) is used in this research as the mediator between BDA and innovation performance. Besides, this research conceptualises two moderating variables: data-driven culture and BDA team sophistication. This study employs partial least squares (PLS) to test and validate the proposed hypotheses using survey data of 185 firms. The results show that firm agility significantly mediates the link between BDA use and innovation performance. Besides, the results suggest that data-driven culture moderates the relation between sensing agility and decision-making agility. This research also supports the moderating role of BDA team sophistication on the link between BDA use and sensing agility.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management

Project
<a href="/en/project/GA20-12081S" target="_blank" >GA20-12081S: Closed-loop model of information system business value: bidirectional relationship between IS investments and firm performance</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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