An empirical investigation on Big Data Analytics (BDA) and innovation performance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F19%3A00124880" target="_blank" >RIV/00216224:14560/19:00124880 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3361785.3361803" target="_blank" >http://dx.doi.org/10.1145/3361785.3361803</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3361785.3361803" target="_blank" >10.1145/3361785.3361803</a>
Alternative languages
Result language
angličtina
Original language name
An empirical investigation on Big Data Analytics (BDA) and innovation performance
Original language description
Nowadays, big data analytics (BDA) have widely used in our business environment as an undeniable function for firms to not only survive in turbulence but also have the opportunity to be ahead of their major competitors. One of the promising aspects of BDA relates to its influence on innovation performance. In line, the present study proposed a conceptual model in order to investigate the relationship between BDA use and innovation performance by considering the role of dynamic capability (DC) theory. In this research, we consider firm agility in terms of DC theory and decompose it into three main factors contacting sensing agility, decision making agility, and acting agility. The research model and required data were analyzed using Partial Least Squares (PLS)/Structured Equation Modelling (SEM). The outcome of this study indicates that firms would be able to increase their innovation performance from a DC theory. This study also shows that BDA use has a positive influence on sensing agility of firms.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
3rd International Conference on Business and Information Management (ICBIM)
ISBN
9781450372329
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
97-101
Publisher name
ASSOC COMPUTING MACHINERY
Place of publication
NEW YORK
Event location
NEW YORK
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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