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Trust in augmented analytics boosts decision quality for non-technical users

By PulseAugur Editorial · [1 sources] ·

A study published on arXiv investigated how trust in augmented analytics influences decision quality among non-technical business intelligence users. The research, conducted with 250 business professionals in Vietnam, utilized partial least squares structural equation modeling. Findings suggest that augmented analytics capabilities enhance perceived ease of use, usefulness, and trust in BI systems, with trust and usefulness jointly impacting adoption intention and decision quality. AI

IMPACT This research highlights the importance of building trust in AI-driven analytics tools to improve decision-making for non-technical users.

RANK_REASON The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Trust in augmented analytics boosts decision quality for non-technical users

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The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Thuy Pham Thi Phuong, Hieu Vu Le Trung, Ha Nguyen Manh, Ngan Nguyen Thi Thuy, Lan Hoang Thi ·

    Beyond Adoption Intention How Trust in Augmented Analytics Relates to Perceived Decision Quality Among Non-Technical BI Users

    arXiv:2605.20198v2 Announce Type: replace-cross Abstract: Augmented analytics has transformed how Business Intelligence (BI) systems support decision-making, shifting non-technical managers from manual analysis toward dependence on automated insights. Current BI research often ov…

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