Abstract
The emergence of new technologies has modified the way businesses handle the information. Big data technology, which is best known for its capability to deliver competitive advantages, has been increasingly adopted by many organizations. A well-informed workforce of advanced technologies is fundamental for successful implication of any technology. Therefore, the technological understanding has become a fundamental expectation of corporate recruiters and further it determines successful career establishments. The purpose of present study is to assess the big data awareness among management undergraduates in Sri Lanka. A descriptive survey was performed and the correlation, multiple regression analysis and structural equation modeling performed the data analysis. The results disclosed that level of usefulness and the level of effectiveness on big data are significant components of big data awareness where level of experience found insignificant predictor of big data awareness. The findings implied the directions in which the future human resources should be developed.
Highlights
Contemporary business entities function in a data economy where continual efforts are needed to track opportunities in the environment
The present study proposes three different variables to evaluate the level of big data awareness among undergraduates
Study aimed at determining the big data awareness of management undergraduates of Sri Lanka
Summary
Contemporary business entities function in a data economy where continual efforts are needed to track opportunities in the environment. A typical business operation of a day accumulates bulk data sets from different sources. These massive sets of data are called big data which are difficult to manage by traditional database management systems. The dramatic growth & use of multi-technological innovations, the ubiquity of the internet & IT applications and the pervasiveness of smart mobile devices have increased real-time data collection and has exponentially led to utilization of big data in today’s businesses environment (Juniper Networks, 2012) due to the various forms and structures of these collected data, the tools and architectures needed for its realtime analysis may vary and could be a challenge for many organizations, especially those operating with limited IT budgets (Kalema & Mokgadi, 2017)
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