Effects of Big Data Management on Industrial Growth: A Case for the Organization of Economic Cooperation and Development Countries
growth is an essential condition for sustainable economic development. However,
data management also plays an important role in ensuring effective planning and
result-oriented decision-making in an organization. Although big data management
is essential in this regard, its usage in most countries seems to be a new field.
The aim of this study was to examine the effect of big data management on industrial
growth in the Organization of Economic Cooperation and Development (OECD) countries.
The study used expost-facto design approach and time-series or secondary data covering
2018 to 2020. A sample of 43 countries were used for the study. The Ordinary Least
Square (OLS) regression technique was used as a technique for data analysis. The
results from the descriptive analysis revealed that ICT access and usage had a higher
mean value than internet access which signifies that ICT access and usage contributed
more to industrial growth in OECD than internet access (INA). The findings from
the analysis of the hypotheses also found that ICT access and usage and internet
access have a significant effect on industrial growth in OECD countries. The study,
therefore, concluded that big data management had positive effects on industrial
growth in OECD countries and recommended that governments of OECD countries should
invest more on internet access so as to promote efficiency in big data management
and that they should also provide ICT infrastructure that are necessary for effective
management of big data and industrial growth.
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