The Impact of Cloud Computing Adoption on Firm Performance Among SMEs in Palestine: A Machine Learning Approach

Kawther Mousa, Zenglian Zhang, Eli Sumarliah and Ihab K. A. Hamdan
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Kawther Mousa: University of Science and Technology, Beijing, China
Zenglian Zhang: University of Science and Technology, Beijing, China
Eli Sumarliah: Al-Ihya Islamic University, Indonesia
Ihab K. A. Hamdan: University of Science and Technology, Beijing, China

International Journal of Intelligent Information Technologies (IJIIT), 2024, vol. 20, issue 1, 1-24

Abstract: This study seeks to identify the driving factors of cloud computing adoption (CCA) among SMEs, and examines the extent to which CCA shape SME performance. Data was gathered from 212 Halal SMEs in Palestine. This study uses a two-phase investigative method to test the research model through integrating structural equation modeling (SEM) and machine learning. SEM findings show that perceived benefit, facilitating states, server location, perceived cost, upper management support, perceived quality, and cloud providers' support significantly affect CCA. Besides, the article verifies that CCA positively shapes SMEs' performance. Machine learning findings unravel perceived benefit as the strongest determinant of CCA. This study is an initial attempt to develop a conceptual framework that hypothesizes the links between technological-organizational-environmental (TOE) factors and SMEs' intent for CCA in Palestine and provides empirical evidence regarding these links.

Date: 2024
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