Cloud computing is increasingly popular in firms around the world. However, there are limited review studies focusing on cloud computing applications in companies. Thanks to the application of the technology-environment-organization (TOE) framework and diffusion of innovation (DOI) theory, this research unearths the factors influencing the decision-making process in cloud computing between developed and developing countries. The review further captures the stonewalls of cloud computing adoption enlisted in literature. Systematic review methods were applied to analyze relevant articles during the 2011 to 2020 period. The findings reveal that 36 factors impact organizational cloud computing adoption, out of which 21 factors occur in both developed and developing economies. The remaining 15 factors differ between developed and developing countries. Five of these factors that reveal a strong impact on cloud adoption by firms are Technology readiness, Top management support, Relative advantage, Costs, and Security, privacy and ethics concern. The literature-based limitations found in previous studies on cloud computing adoption in firms include research area, data collection technique, research methodology and theoretical models, and research subject. These challenges were organized in a 4-M recommendation for future research.
Contribution/Originality:This study contributes to the existing literature a comprehensive picture of factors influencing the application of cloud computing in firms between developed and developing countries. Hence, the results of this study can enhance managers', and suppliers' understanding of the main factors affecting the adoption of cloud computing in organizations.
INTRODUCTIONCloud computing refers to a breakthrough phenomenon in information technology area that attracts the attention of many scientists, businesses people, and governments [1]. The application of cloud computing is associated with numerous benefits for enterprises such as cost savings, increased flexibility and easy access to data sources [2][3][4][5]. It enhances companies' ability to resolve the disadvantages embedded in traditional information