The Impact of Cloud Computing on Small and Medium-Sized Businesses
Autor: | Bismah Nazim Killedar, Maaz Zahid Datey |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
DOI: | 10.5281/zenodo.8133454 |
Popis: | Cloud computing has had a significant impact on small and medium-sized businesses (SMBs). The benefits of cloud computing adoption, including cost savings, scalability, flexibility, and improved data security, have made this technology increasingly popular among SMBs. However, several challenges prevent SMBs from adopting cloud computing, including a lack of technical knowledge and expertise, security concerns, and concerns around the reliability and availability of cloud computing services. Despite these challenges, many SMBs have successfully implemented cloud computing and have seen significant improvements in their operations. Case studies have shown that SMBs that migrated to cloud-based services experienced a reduction in IT costs and an increase in revenue. Additionally, SMBs that adopted cloud computing services saw a reduction in downtime and improved disaster recovery capabilities. The impact of cloud computing on SMBs extends beyond operational improvements. Cloud computing has also improved the competitiveness and profitability of SMBs, enabling them to access enterprise-grade technology at an affordable cost and allowing them to scale their operations quickly and efficiently. Cloud computing has also enabled SMBs to compete with larger businesses by providing them with the same technological capabilities. Cloud computing has had a significant impact on SMBs by providing them with cost-effective access to enterprise-grade technology, improving operational efficiency, and enhancing competitiveness and profitability. While several challenges prevent SMBs from adopting cloud computing, successful implementation can bring significant benefits to their operations {"references":["J, Jeba Sonia, D. J. Joel Devadass Daniel, Dr. R. Sabin Begum, Dr. A., K., N., K. Pathan, Dr. Veera Talukdar, and Vivek Dadasaheb Solavande. (2022) 2023. \"AI Techniques for Efficient Healthcare Systems in ECG Wave Based Cardiac Disease Detection by High Performance Modelling\". International Journal of Communication Networks and Information Security (IJCNIS) 14 (3):290-302. https://doi.org/10.5281/zenodo.7562589","Creswell, J. W. (2013). Research design: qualitative, quantitative, and mixed methods approaches. Sage publications."]} |
Databáze: | OpenAIRE |
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