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Reading: Readiness to Adopt Big Data Analytics in Private Sector Companies

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Readiness to Adopt Big Data Analytics in Private Sector Companies

Authors:

W. J. A. J. M. Lasanthika ,

Wayamba University of Sri Lanka, Kuliyapitiya, LK
About W. J. A. J. M.
Department of Business Management, Faculty of Business Studies & Finance
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C. N. Wickramasinghe

University of Kelaniya, Kelaniya, LK
About C. N.
Department of Commerce and Financial Management
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Abstract

The amount of data generated through various sources will continue to grow as people interact more with online. Businesses can gain actionable insights to improve their outcomes by analyzing these massive set of data. Private organizations, being more technology oriented, have concern on the opportunities provided by Big Data Analytics (BDA). But still they are postponing decisions on BDA as they are not competent whether they ready for take the advantage of such technology. The purpose of this study was to investigate the readiness to adopt BDA in private sector companies, Sri Lanka. The study collected data using a questionnaire that was developed based on the technology-organization-environment (TOE) framework. A sample was selected from listed private companies in Colombo Stock Exchange under twenty sectors. Collected data was analyzed using the statistical Package for Social Scientists (SPSS). The empirical findings of the analysis found that Sri Lankan private companies are having low tendency towards readiness for BDA and Information Technology (IT) infrastructure, security, firm size, management support and competitive advantage are found to be major constituents in assessing readiness to adopt BDA. The results of this study beneficial for the corporate managers and policy makers when preparing their business entities to adopt BDA. Further the findings of present study guide to the future researchers in the arena of BDA.
How to Cite: Lasanthika, W.J.A.J.M. and Wickramasinghe, C.N., 2020. Readiness to Adopt Big Data Analytics in Private Sector Companies. Wayamba Journal of Management, 11(2), pp.74–101. DOI: http://doi.org/10.4038/wjm.v11i2.7474
Published on 30 Dec 2020.
Peer Reviewed

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