The determinants of the use of Big Data Analytics by small and medium-sized enterprises: A literature review

Abstract

Small and medium-sized enterprises (SMEs) make a significant contribution to the Moroccan economy, representing 90% of all businesses, creating more than half of private sector jobs; this represents more than 50% of the turnover of all companies in Morocco. To this end, SMEs have a very significant economic weight at the national level; reason for choosing our subject. Moreover, SMBs struggle with not having the same ability as large enterprises to analyze new datasets with significant volume, speed and variety. According to several studies, SMBs have been slow to adopt new BDA scanning technology. The economic contribution of SMEs and the possible benefits for SMEs from the adoption of Big Data Analytics means that it is important to study the determinants of acceptance and adoption of Big Data Analytics by SMEs.

BDAs have increasingly appeared as a frontier of opportunities in improving the performance of companies and more particularly SMEs. In this regard, the objective of this study is to propose a theoretical model based on the integration of Human-Organization-Technology (HOT), Technology-Organization-Environment (TOE) fit frameworks and the Technological Acceptance Model. (TAM) to identify the key factors affecting the acceptance and adoption of Big Data and its consequent impact on SMEs based on a reading of the existing literature. The results of existing studies indicate that technological, organizational, environmental and human elements are the most important variables that would help SMEs derive business value from the adoption of BDA and increase their performance.

Keywords: Big Data Analytics (BDA) - Technological-Organizational-Environmental (TOE) model – SME

JEL Classification : L20, M00

Paper type: Theoretical research