Exploring the factors influencing the adoption of business intelligence in Malaysia’s service sector

Bibliographic Data

ID22189239
AuthorsBaboo Daniel James Sivanathan (International University), Ainin Sulaiman (0000-0002-8989-712X, International University), Nadisah Zakaria (0000-0002-0836-7355, Prince Sultan University), Siong Min Foo (0000-0002-5170-6359, Universiti Putra Malaysia)
Year2024
Volume8
Issue16
Pages4971
Publication date2024-12-25
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd4971
OpenAlexW4405746561
LanguageEN
References cited8

In the realm of contemporary business, Business Intelligence (BI) offers significant potential for informed decision-making, particularly among executives. However, despite its global popularity, BI adoption in Malaysia’s service sector remains relatively low, even in the face of extensive data generation. This study explores the factors influencing BI adoption in this sector, employing the Technology Acceptance Model (TAM) as its conceptual framework. Drawing on relevant BI literature, the study identifies key TAM factors that impact BI adoption. Using SEM modelling, it analyses quantitative data collected from 45 individuals in managerial roles within Malaysia’s service sector, particularly in the Klang Valley. The findings highlight the crucial role of Perceived Usefulness in influencing the Behavioral Intention to adopt BI, serving as a mediating factor between Computer Self-efficacy and BI adoption. In contrast, Perceived Ease of Use does not have a direct impact on BI adoption and does not mediate the relationship between Computer Self-efficacy and Behavioral Intention. These insights demonstrate the complex nature of BI adoption, emphasizing the importance of Perceived Usefulness in shaping Behavioral Intentions. The outcomes of the study aim to guide executives in Malaysia’s service sector, outlining key considerations for successful BI adoption

Business · Knowledge management · Process management · Tertiary sector of the economy · Big Data and Business Intelligence · Computer Science · Marketing

Tools

Open DOIOpen Access