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On Key Success Factors of Leveraging Big Data Analytics and AI to Improve Business Decisions

On Key Success Factors of Leveraging Big Data Analytics and AI to Improve Business Decisions

Free University of Bozen-Bolzano
Doctor of Philosophy (PHD), Free University of Bozen-Bolzano
24/01/2025
:
https://hdl.handle.net/10863/46747
This is a thesis by publication, which encompasses four manuscripts. The primary research goal is to identify and investigate key success factors for the digital transformation enabled by two decision-support technologies, i.e., big data analytics (BDA) and artificial intelligence (AI). In particular, the investigation begins with the first manuscript, a literature review on the concept of BDA capabilities, to provide an understanding of the state of the art on big data, BDA, and BDA capabilities and identify the main research gaps for the remaining projects. Drawing on the Mindset Theory of Action Phases and Expectancy-Value Theory, the second manuscript conceptualizes the individual data-driven mindset (DDM) – the most fundamental factor in data-driven transformation. This paper also differentiates DDM from related concepts like IT and digital mindsets and proposes a research model linking analytics knowledge, DDM, commitment to data-driven practices, and decision quality. The third manuscript empirically validates the DDM model proposed in the second manuscript, wherein the roles of self-efficacy, values, and costs as primary constituents of DDM are confirmed. The fourth manuscript further explores the impact of DDM on decision making performance, focusing on the mediating roles of effort and persistence. These studies contribute to the theoretical and empirical understanding of the prominent success factors organizations must address to successfully navigate their digital transformation course enabled by BDA and AI. The manuscripts also highlight the importance of interdisciplinary research and offer practical insights for enhancing organizational decision-making and performance in the data-driven era.

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Huynh_Minh_Tay_final_dissertation2.44 MB
Embargoed Access, 24/01/2027
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