Issue |
ITM Web Conf.
Volume 67, 2024
The 19th IMT-GT International Conference on Mathematics, Statistics and Their Applications (ICMSA 2024)
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Article Number | 01019 | |
Number of page(s) | 12 | |
Section | Mathematics, Statistics and Their Applications | |
DOI | https://doi.org/10.1051/itmconf/20246701019 | |
Published online | 21 August 2024 |
Factors Influencing Cloud Business Intelligence Adoption and Use at Organisational Level
1 Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Kampar, Malaysia
2 Faculty of Creative Industries, Universiti Tunku Abdul Rahman Sungai Long, Malaysia
3 Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Sungai Long, Malaysia
* Corresponding author: chanlk@utar.edu.my
The integration of cloud computing and business intelligence enables analytics solutions through cloud environments. Despite the fears about issues such as security, privacy, and loss of data control issue, many enterprises are increasingly adopting cloud business intelligence (cloud BI). The interest in cloud BI is greatest among businesses and organisations. Yet, the extant literature reveals that little research related to the factors impacting the adoption of cloud BI at the level of organisations. This study aims to identify key factors that impact the adoption and utilisation of cloud BI, focusing on organisational level, which will serve as valuable resources for organisations, helping them to implement cloud BI adoption securely and efficiently in business operations. Wymer and Regan's criteria are used as the basis for analysis. From the results of the study, it is evident that there are 18 factors that significantly impact the adoption and continual usage of cloud BI services in organisations: Complexity, Privacy, Competitive pressure, Security, Government support, Availability, Relative advantage, Culture, Management support, Observability, Regulatory support, Technology readiness, Type of system, Organisation size, Trialability, Effective adaptable solutions, Compatibility, and Scalability. The findings can help Organisations, cloud BI service providers, and governments to develop cloud BI adoption strategies.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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