Identification Important Factors of Cloud Computing On Business Growth with Consideration of Consumers Preference
DOI:
https://doi.org/10.32628/CSEIT25113327Abstract
Analysing key factors influencing their preferences. The findings reveal that cost efficiency is the most crucial factor, emphasizing the demand for affordable cloud solutions. Data privacy ranks second, reflecting concerns about cybersecurity and regulatory compliance. Scalability and flexibility are the least prioritized factor, indicating that businesses may not require highly scalable infrastructure immediately. Among cloud computing tools, Google Drive is the most preferred platform, highlighting a strong inclination toward cost-effective and user-friendly storage solutions. Dropbox follows as another popular choice. Among enterprise-level services, Amazon Web Services (AWS) leads, followed by Google Cloud Platform and Microsoft Azure, showcasing increasing adoption of robust cloud infrastructure solutions. IBM Cloud and Oracle Cloud exhibit lower adoption, suggesting niche applications. Chi-square analysis revealed significant associations between most cloud computing tools and key factors like scalability, cost efficiency, and data privacy, except for Oracle Cloud and IBM Cloud in some cases. These insights could guide cloud service providers in enhancing their offerings by focusing on affordability, security, and scalability to better meet the needs of businesses and consumers in Surat City.
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Chanda, R. C., Vafaei-Zadeh, A., Hanifah, H., & Ramayah, T. (2024). Investigating factors influencing individual user's intention to adopt cloud computing: a hybrid approach using PLS-SEM and fsQCA. Kybernetes, 53(11), 4470-4501.
Jreissat, E. R., Khrais, L. T., Salhab, H., Ali, H., Morshed, A., & Dahbour, S. (2024). An In-Depth Analysis of Consumer Preferences, Behavior Shifts, and Barriers Impacting IoT Adoption: Insights from Jordan’s Telecom Industry. Applied Mathematics and Information Sciences, 18(2), 271-281.
Khan, M. Z., Shoaib, M., Husain, M. S., Ul Nisa, K., & Quasim, M. T. (2024). Enhanced mechanism to prioritize the cloud data privacy factors using AHP and TOPSIS: a hybrid approach. Journal of Cloud Computing, 13(1), 42.
Repschlaeger, J., Erek, K., & Zarnekow, R. (2013). Cloud computing adoption: an empirical study of customer preferences among start-up companies. Electronic markets, 23, 115-148.
Chen, L. S. L., & Chen, J. H. (2021). Antecedents and optimal industrial customers on cloud services adoption. The Service Industries Journal, 41(9-10), 606-632.
Alshamaila, Y., Papagiannidis, S., & Li, F. (2013). Cloud computing adoption by SMEs in the north east of England: A multi‐perspective framework. Journal of enterprise information management, 26(3), 250-275.
Son, I., Lee, D., Lee, J. N., & Chang, Y. B. (2014). Market perception on cloud computing initiatives in organizations: An extended resource-based view. Information & Management, 51(6), 653-669.
Anandasivam, A. (2010). Consumer preferences and bid-price control for cloud services. Karlsruhe Institut für Technologie, Fakultät für Wirtschaftswissenschaften, Institut für Informationswirtschaft und-management (IISM).
Ramachandran, N., Sivaprakasam, P., Thangamani, G., & Anand, G. (2014). Selecting a suitable cloud computing technology deployment model for an academic institute: A case study. Campus-Wide Information Systems, 31(5), 319-345.
Hsu, P. F., Ray, S., & Li-Hsieh, Y. Y. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management, 34(4), 474-488.
Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & management, 51(5), 497-510.
Tomar, A., Kumar, R. R., & Gupta, I. (2023). Decision making for cloud service selection: a novel and hybrid MCDM approach. Cluster computing, 26(6), 3869-3887.
Habib, S. M., Ries, S., & Muhlhauser, M. (2011, November). Towards a trust management system for cloud computing. In 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications (pp. 933-939). IEEE.
Buyya, R., Beloglazov, A., & Abawajy, J. (2010). Energy-efficient management of data center resources for cloud computing: a vision, architectural elements, and open challenges. arXiv preprint arXiv:1006.0308.
Dutta, G., & Mukherjee, D. (2024). Impact Of Positioning of Cloud Computing Service Provider on The People Working in Information Technology Across All Industry. Library of Progress-Library Science, Information Technology & Computer, 44(3).
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