Abstract:
Business analytics has become a powerful tool worldwide for data-driven
decision making. However, the banking sector of Sri Lanka is still adapting to
advanced analytical tools and is facing several challenges. Additionally, it is rare
to find studies from the Sri Lankan context that attempt to identify the
relationship between the technological context and business analytics usage
(BAU). Thus, this research was conducted to investigate the interplay between
BAU and three key technological dimensions in the form of Data-Related
Infrastructure Capabilities (DIC), Data Management Challenges (DMC), and
Technology Supporting Infrastructure (TSI). To achieve this objective, a
quantitative method with a deductive approach is employed. A structured
questionnaire with five-point Likert scale items was distributed among a sample
of 220 bank employees in Sri Lanka. Structural Equation Modeling (SEM) was
employed as the primary analysis technique. The findings reveal that DIC, DMC,
and TSI all positively and significantly impact BAU. DMC emerged as the most
influential factor, followed by TSI. These insights provide valuable implications
for managerial decision-makers in the banking industry, guiding them to
implement business analytics tools within their organizations. This study offers
the basis for further studies to examine the broader frameworks of technological
adoptions in financial institutions in Sri Lanka, in which they can consider
technological dimensions as moderators or mediators.
