An empirical investigation on Big Data Analytics (BDA) and innovation performance

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

An empirical investigation on Big Data Analytics (BDA) and innovation performance

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

An empirical investigation on Big Data Analytics (BDA) and innovation performance

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

3rd International Conference on Business and Information Management (ICBIM)

ISBN

9781450372329

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

97-101

Název nakladatele

ASSOC COMPUTING MACHINERY

Místo vydání

NEW YORK

Místo konání akce

NEW YORK

Datum konání akce

1. 1. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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