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Artificial Intelligence: Understanding the influence of intention to use the technology in BI&A maturity and firm performance

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This work is motivated by the constant growth of Artificial Intelligence tools, within firms, and the performance impacts are currently being study. The research identifies some issues related to the synergy between the maturity of Business Intelligence and Analytics systems for enhancing performance, through AI adoption. The objective of this study is to examine how AI enhance BI&A maturity and improve firm performance. A conceptual model integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) Venkatesh et al., (2003) with the firm performance model of Suša Vugec et al., (2020), BI&A from Dinter, (2012) Business Intelligence maturity model, and organizational culture construct. The study collected data from firm employees with roles related to BI&A and AI via an online questionnaire in south European country. The findings were analysed using Structural Equation Modelling (SEM) and Partial Least Squares (PLS). Performance expectancy, social influence, facilitating conditions and organizational culture significantly affect AI adoption intention. AI intentions to use was found to have a strong and positive direct effect on the maturity of BI&A systems and AI use, and the BI&A maturity systems positively influence firm performance. The findings of this research contribute firm level AI adoption in enhancing the maturity of BI&A systems to improve decision-making, efficiency, and competitive advantage.

Descrição

Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science

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Artificial intelligence UTAUT Business intelligence Business analytics Organizational culture Firm performance Maturity model SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 12 - Responsible production and consumption

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