Developing a Conceptual Model for the Intention to Adopt CC-Saas
Hiba Jasim Hadi1, Nafishah Othman2, Wan Rozaini Sheik Osman3
1Hiba Jasim Hadi*, IASDO Research Laboratory, School of Computing, Universiti Utara Malaysia, Sintok Malaysia.
2Nafishah Othman, IASDO Research Laboratory, School of Computing, Universiti Utara Malaysia, Sintok Malaysia.
3Wan Rozaini Sheik Osman, IASDO Research Laboratory, School of Computing, Universiti Utara Malaysia, Sintok Malaysia.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 109-118 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C4827029320/2020©BEIESP | DOI: 10.35940/ijeat.C4827.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: : Cloud Computing (CC) is an evolving information technology paradigm providing on-demand IT resources on a pay-as-you-go basis. A cloud computing service model called Software as a Service (SaaS) emerged to offers IT services, effectively utilise computing and power consumption while achieving performance, decreasing cost, and increasing revenue. However, the adoption rates of CC-SaaS among the organisations are inadequate, and its diffusion is not fully explored due to issues related to data security, privacy concerns and trust which affects the adoption of CC-SaaS. There is a lack of empirical studies investigating factors affecting the adoption of CC-SaaS from the organisational perspectives specifically in Iraq. Therefore, the primary aim of this study is to identify the most influencing factors for the intention to adopt CC-SaaS in Iraqi organisations. In order to meet the primary aim, such factors are reviewed and selected from the literature on a high frequency of occurrence and developed the proposed model. The result of the factors is validated by expert and the values of assessment are statistically analysed using SPSS for t-test analysis. The proposed model can give a guide for the decision makers to plan the successful adoption of CC-SaaS in the organisation.
Keywords: Cloud computing, DOI, HOT, Intention to adopt, software as a services.