The Adoption of Big Data Analytic on Performance: Integrated Model


Authors : Djoko Setyo Widodo

Volume/Issue : Volume 8 - 2023, Issue 5 - May

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/4tvv7khw

DOI : https://doi.org/10.5281/zenodo.8031516

Abstract : Two significant findings emerged from this study. We discovered that relative advantage, organizational readiness, top management support, and government regulations all have a significant impact on Big Data Analytic adoption. The study's findings also show a strong and positive relationship between Big Data Analytic adoption and firm performance. Finally, it was discovered that knowledge management had a mediating effect on the relationship between Big Data Analytic adoption and firm performance. The data revealed how businesses could increase their use of Big Data Analytics to improve firm performance. The current study adds to the small but growing body of literature on the factors that influence technology acceptance. The study's findings can be used as a resource by scholars and practitioners interested in big data adoption in developing countries.

Keywords : Component; Big Data Analytics; Performance; TOE Framework; RBV Theory; Creative Industry; SMEs.

Two significant findings emerged from this study. We discovered that relative advantage, organizational readiness, top management support, and government regulations all have a significant impact on Big Data Analytic adoption. The study's findings also show a strong and positive relationship between Big Data Analytic adoption and firm performance. Finally, it was discovered that knowledge management had a mediating effect on the relationship between Big Data Analytic adoption and firm performance. The data revealed how businesses could increase their use of Big Data Analytics to improve firm performance. The current study adds to the small but growing body of literature on the factors that influence technology acceptance. The study's findings can be used as a resource by scholars and practitioners interested in big data adoption in developing countries.

Keywords : Component; Big Data Analytics; Performance; TOE Framework; RBV Theory; Creative Industry; SMEs.

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