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Challenges of Cloud Computing Adoption From the TOE Framework Perspective

Author

Listed:
  • Omar Al-Hujran

    (Princess Sumaya University for Technology, Amman, Jordan)

  • Enas M. Al-Lozi

    (Al-Zaytoonah University of Jordan, Amman, Jordan)

  • Mutaz M. Al-Debei

    (The University of Jordan, Amman, Jordan)

  • Mahmoud Maqableh

    (The University of Jordan, Amman, Jordan)

Abstract

Cloud computing can be classified as a third-generation computing platform which refers to on-demand delivery of computing infrastructure and services via a network, usually the Internet. Cloud computing promises to provide several advantages to its adopters such as: cost advantage, availability, scalability, flexibility, reduced time to market and dynamic access to computational resources. Notwithstanding the numerous advantages of cloud computing, its implementation and adoption in developing countries is still limited and surrounded by variety of issues. Hence, the main objective of this article is to identify the main challenges facing the utilization of these services in developing countries, particularly Jordan. To achieve the above-mentioned objective, six in-depth interviews with ICT officials and experts in the domain of cloud computing were used as the main data collection method. The challenges of cloud computing adoption emerged in this study are classified into technological, organizational and environmental factors.

Suggested Citation

  • Omar Al-Hujran & Enas M. Al-Lozi & Mutaz M. Al-Debei & Mahmoud Maqableh, 2018. "Challenges of Cloud Computing Adoption From the TOE Framework Perspective," International Journal of E-Business Research (IJEBR), IGI Global, vol. 14(3), pages 77-94, July.
    • Handle: RePEc:igg:jebr00:v:14:y:2018:i:3:p:77-94
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    Cited by:

    1. Ajoy Ketan Sarangi & Rudra Prakash Pradhan, 2020. "ICT infrastructure and economic growth: a critical assessment and some policy implications," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(4), pages 363-383, December.
    2. Baohua Zhang, 2021. "Optimization of FP-Growth algorithm based on cloud computing and computer big data," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 853-863, August.
    3. Osama Abied & Othman Ibrahim & Siti Nuur-Ila Mat Kamal & Ibrahim M. Alfadli & Weam M. Binjumah & Norafida Ithnin & Maged Nasser, 2022. "Probing Determinants Affecting Intention to Adopt Cloud Technology in E-Government Systems," Sustainability, MDPI, vol. 14(23), pages 1-29, November.
    4. Youssef, Mayada Abd El-Aziz & Eid, Riyad & Agag, Gomaa, 2022. "Cross-national differences in big data analytics adoption in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).

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