Student Adoption of Business Intelligence (BI) Tools: Comparing Microsoft Power BI and Google Looker Studio Using UTAUT

Abstract

Objective: This study explores the adoption of Microsoft Power BI and Google Looker Studio in Business Intelligence (BI) learning using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to determine which BI tool demonstrates higher acceptance, usability, and perceived effectiveness among polytechnic students.

Research Method: A quantitative research design was employed involving 78 students from Semesters 4 and 5 of the Information and Communications Technology Department (JTMK), Politeknik Sultan Idris Shah (PSIS). Data were analysed through descriptive statistics to measure students’ perceptions across UTAUT constructs.

Findings: The results showed that both tools achieved moderate-to-high to high levels of acceptance, with Performance Expectancy being the strongest construct for both platforms. However, Google Looker Studio outperformed Microsoft Power BI, particularly in effort expectancy, social influence, and facilitating conditions, owing to its ease of use, collaborative functionality, and seamless integration within the Google ecosystem. These advantages fostered more positive student attitudes and stronger behavioural intentions toward continued use. Conversely, Power BI was valued for its analytical strengths but was perceived as more complex and required greater instructional support.

Originality: This study offers empirical evidence comparing two principal BI tools within Technical and Vocational Education and Training (TVET) contexts. Findings suggest Looker Studio is appropriate for introductory BI courses, whereas Power BI is essential for advanced analytical skills