Examining the Psychological Factors Influencing Intention to Use Business Intelligence Dashboards in the UAE

Abstract

In spite of the manifold benefits associated with dashboards, their widespread adoption and individual-level usage in the United Arab Emirates (UAE) have remained limited. To address this gap, the present study employed quantitative research methodologies, specifically utilizing purposive sampling techniques and a survey instrument for data collection. The analysis employed the SmartPLS technique, which unveiled several factors that influence the intention to use dashboards, including perceived ease of use (PEOU), perceived usefulness (PU), perceived relative advantage (PRA), and perceived quality across multiple dimensions (informational, service, and system). Among these factors, PU exerted the most substantial impact on the intention to use dashboards, followed by PRA, PEOU, perceived service quality, and perceived information quality. Although perceived system quality demonstrated a positive association with the behavioral intention to use dashboards, its effect did not reach statistical significance. The findings of this study offer valuable insights for dashboard developers, furnishing evidence-based guidance on how to design dashboards that augment user acceptability and usage. By empirically testing a research framework based on the Technology Acceptance Model (TAM) and extending it to encompass quality as a multidimensional construct, this study elucidates the factors that influence users' intention to use dashboards in the UAE.