2021
DOI: 10.31686/ijier.vol9.iss6.3172
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Utilization of Business Intelligence Tools among Business Intelligence Users

Abstract: The study was an investigation of the impact of perceived usefulness and perceived ease of use of business intelligence (BI) tools among users. The relationship between and among the dependent variable (utilization of BI tools) and the independent variables (perceived usefulness and perceived ease of use) was investigated through the lenses of technology acceptance model (TAM). Other objectives for the current research were to build a model to predict users’ utilization of the independent variables, and to gen… Show more

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Cited by 4 publications
(2 citation statements)
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“…In addition, no statistical differences were found in the college of basic education students' level of experience in learning with ICTs (Alanezi & AlAzwani, 2020) and in EFL teachers' teaching experience using mobile devices in the classroom (Dweikat & Hasan, 2021). Many studies have investigated technology acceptance in education to understand teachers' and students' perceived usefulness, perceived ease of use, attitude toward use, and behavioural intention of using mobile learning as well as their impact in the classroom (Ahmed, 2021;Hong et al, 2021;Kalogiannakis & Papadakis, 2019;Lazim et al, 2021;Papadakis, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, no statistical differences were found in the college of basic education students' level of experience in learning with ICTs (Alanezi & AlAzwani, 2020) and in EFL teachers' teaching experience using mobile devices in the classroom (Dweikat & Hasan, 2021). Many studies have investigated technology acceptance in education to understand teachers' and students' perceived usefulness, perceived ease of use, attitude toward use, and behavioural intention of using mobile learning as well as their impact in the classroom (Ahmed, 2021;Hong et al, 2021;Kalogiannakis & Papadakis, 2019;Lazim et al, 2021;Papadakis, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…The financial industry is witnessing a rapid transformation driven by technological advancements and the growing demand for data-driven insights. BI tools play a pivotal role in this transformation, enabling financial institutions to harness the power of data for informed decision-making, risk management, and performance evaluation (Ahmed, 2021). The integration of artificial intelligence and big data analytics has further enhanced the capabilities of BI tools, revolutionizing the way financial data is processed and utilized (Ma, 2022).…”
Section: Introductionmentioning
confidence: 99%