Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model

Area of Science:

• Information Systems
• Decision Science
• Technology Adoption

Background:

• Business intelligence (BI) technologies are crucial for rapid information processing and decision support.
• The increasing demand for speed in information processing drives the growth of BI tools.
• Understanding user adoption factors is vital for effective BI implementation.

Purpose of the Study:

• To verify factors influencing the implementation and use of BI tools in business processes.
• To apply and adapt the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model.
• To investigate the role of user behavior in decision-making concerning BI tools.

Main Methods:

• A modified UTAUT 2 model was developed, incorporating user decision-making behavior.
• A questionnaire survey was administered to 152 respondents.
• Data analysis was performed to identify significant factors influencing BI tool adoption.

Main Results:

• Habit was identified as the most significant factor affecting behavioral intention and actual use of BI tools.
• Factors such as effort expectancy, social influence, and facilitating conditions showed less influence than anticipated.
• Previous findings on technology acceptance were not consistently confirmed in the context of BI.

Conclusions:

• Habit plays a critical role in the successful integration and utilization of business intelligence in practice.
• The UTAUT 2 model may require adjustments to accurately reflect BI tool adoption dynamics.
• Further research is needed to refine technology acceptance models, considering recent technological advancements and user experiences, especially post-pandemic.