Abstract
Big Data is an important player in offering a highly competitive advantage, specialty, in contemporary organisations. The theory of technology readiness can be used for measuring the readiness of an organisation to adapt big data. Structural equation modelling is used in this study through AMOS to analyse 381 valid questionnaires to evaluate the proposed model built on the Theory of Technology Readiness to determine the factors that could affect big data adoption. This research concentrates on one of Abu Dhabi’s public organisations (ADPO). In this model, the key independent constructs are comparable to Innovativeness, Optimism, Insecurity and Discomfort pertaining to these organisations’ readiness for exploiting this massive data amounts. The dependent constructs are based on the adopted big data’s readiness in ADPO. The relations between the different constructs are defined in this research. This work has enhanced our insights regarding the online social networking model. The results showed that all four independent variables considerably helped to predict the adoption of big data with different percentages. The model that was put forward explained 50% of the variance occurring in the adoption of big data.
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Haddad, A., Ameen, A., Isaac, O., Alrajawy, I., Al-Shbami, A., Midhun Chakkaravarthy, D. (2020). The Impact of Technology Readiness on the Big Data Adoption Among UAE Organisations. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-13-9364-8_19
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