INNOVATION MANAGEMENT: IS BIG DATA NECESSARILY BETTER DATA?

Sakila Akter Jahan () and Mesbaul Haque Sazu ()
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Sakila Akter Jahan: Independent University, Bangladesh
Mesbaul Haque Sazu: Case Western Reserve University, USA

Management of Sustainable Development, 2022, vol. 14, issue 2, 27-33

Abstract: This study explores the relationship between firms’ application of data analytics (specifically it’s attributes) with the innovative performance of business. The other objective is to assess if large volume of data is necessarily more effective to drive business innovation. The study collected data through questionnaire survey from management staffs of 250 companies in both developed and developing economies. Statistical tools such as T-test and multiple regression methods were used to analyse the data. The study found suggestive proof demonstrating that data analytics is a pertinent determinant of a firm being innovator and bring innovative products and services to the market. The study also found that large volume of data is not necessarily better data to drive innovation. The findings imply that firms must utilize big data analytics to stay innovative and have a competitive advantage. Unlike previous studies that approached big data as whole, this study addresses various components of big data such as variety, volume, velocity, and their individual impacts on innovation in businesses across the developed economies.

Keywords: data science; business management; big data; innovation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:blg:msudev:v:14:y:2022:i:2:p:27-33:n:6

DOI: 10.54989/msd-2022-0013

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