Assessing the Big Data Adoption (BDA) Factors: A Systematic Literature Review

Organizations expect to achieve excellence and more productiveness in their business. To sustain the current business landscape, organizations continuously look for sufficient ways to utilize their valuable resources, regardless of the existing Big Data. Big Data Adoption (BDA) is described as placing an advanced method to the existing and incoming data in the organizations for operational activities. However, in the development of BDA, there is an absence of an in-depth review of certain topics, issues, and classification of the existing studies in this area. This study aims to increase the understanding of BDA at present by underlining the studies conducted in this area, theoretical models, the relevant factors, and tools and techniques used. The review methodology of this Systematic Literature Review (SLR) follows the guidelines from Meta-Analyses (PRISMA) that can be accessed through the website www.prisma-statement.org. This type of SLR involves four phases; identification, screening, eligibility, and inclusion. The set of questionnaires was set up to be answered resulting in thirty studies identified in the domain of BDA after reviewing and extracting relevant information. 1) As a result, Technology–Organization–Environment and Diffusion of Innovations are the most popular theoretical models used for BDA in various domains. 2)This study exposed thirty-five factors in technology, organization, and environment that are relevant to the BDA and, 3) The BDA research in various field. This study exposes the factors that can be considered by researchers and management in BDA for improvisation.