Subramaniam, Prabhakar Rontala.Vela Vela, Junior.2018-04-202018-04-2020172017http://hdl.handle.net/10413/15171Master of Commerce in Information Systems and Technology. University of KwaZulu-Natal, Pietermaritzburg 2017.The increase of number of data available in today’s world has prompted different industries to find a way to get the value out of the data available. Big data analytics is a term used to describe the analysis of the enormous amount of data. Therefore, practitioners and researchers are trying to understand the adoption of this new technology by companies, government, universities. Big data analytics has been used by some medical aid companies to improve the quality of schemes and products provided to clients by collecting, analysing accurate data. However, the rate of acceptance and use of big data analytics by medical aids organisations in South Africa is still unknown. In this dissertation, we discuss the employees’ perceptions on the adoption of big data analytics by medical aid organizations in Durban. The benefits and challenges of big data analytics in medical aid organizations was also discussed. A conceptual framework was developed to structure the problem being investigated in this dissertation. To this end, five perceived factors that might influence the employees’ perception on the adoption of big data analytics were examined: - perceived performance expectancy, - perceive price value, - perceived social influence, - perceived facilitating conditions, - perceived characteristic of Innovation. A survey research was used as a research strategy. An exploratory nature of the study was chosen. Thus, there is no conclusive outcomes in this dissertation. Results show that generally employees have a positive perception on the adoption of big data analytics. Constructs such as perceived performance expectancy, perceived price value, and the perceived characteristics of innovation proved to be influencing the employees’ attitudes towards the adoption of big data analytics.en-ZABig data analysis.Technology.Big data.Adoption.Thesis