An Innovative Mathematical Approach to Implementing Cloud-Based IT Infrastructure
Applied Mathematics and Information Sciences, cilt.20, sa.2, ss.517-525, 2026 (Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 20 Sayı: 2
- Basım Tarihi: 2026
- Doi Numarası: 10.18576/amis/200217
- Dergi Adı: Applied Mathematics and Information Sciences
- Derginin Tarandığı İndeksler: Scopus, zbMATH
- Sayfa Sayıları: ss.517-525
- Anahtar Kelimeler: Cloud computing, Information technology, Novel framework, NVivo
- İstanbul Medipol Üniversitesi Adresli: Evet
Özet
The Administration of IT and communication networks has been an altar-way since the inception of cloud computing technology. The term cloud computing, being an abbreviation, stands for a new kind of management information system (MIS) where the emphasis is on supplying a plethora of computer services via a public network, most commonly the Internet. Cloud computing issues include the deployment of resource sharing environments, trust in third parties, and issues of confidentiality and privacy. The prime intent of this study is to develop a framework that considers those cloud computing adoption factors that hold the utmost importance in the eyes of developing countries higher education institutions (JHEIs), having as a final goal to help the institutions in making worthy decisions regarding cloud computing. In this research, DOI, TAM, and TOE theories have been explored in the development of a model for the diffusion of cloud computing into junior and senior high school institutions (JHEIs). Based on the above underlying theories and models, the authors developed a framework named Technology- Organization-Environment-Quality of Cloud Computing Adoption (TOEQCC) that would help them attain better knowledge about factors influencing cloud computing adoption in the JHEIs context. The study incorporated eleven developing countries organizations, including government and private companies. NVivo was put to use to quicken the process of the study, present the data more clearly, and ascertain the correctness of our findings. Statistical and frequency data were presented using tables, pies, bars, and columns. Business Intelligence and Visio tools from Microsoft were used, as well.