<![CDATA[Business intelligence dashboards are widely deployed in retail store networks to support inventory management. Yet the availability of dashboard-generated replenishment recommendations does not automatically ensure that employees feel confident acting on them. This cross-sectional survey examined whether three dashboard-related characteristics perceived information quality, recommendation explainability, and contextual relevance are associated with replenishment decision confidence among frontline employees. Data were collected from 120 eligible staff across 30 Alfamart outlets in Singkawang, West Kalimantan, between September and October 2025, using a 16-item Likert questionnaire (1–5). A separate pilot of 25 respondents across five stores informed instrument refinement. Multiple linear regression with cluster-robust standard errors (30 store clusters) was the primary analytic method. All three predictors were positively and significantly associated with decision confidence after controlling for dashboard experience and role. Information quality (B = 0.357, 95% CI [0.237, 0.478], p < .001), contextual relevance (B = 0.395, 95% CI [0.239, 0.552], p < .001), and recommendation explainability (B = 0.170, 95% CI [0.036, 0.304], p = .014) each contributed independently. The three predictors jointly accounted for ΔR² = .327 beyond the control variables (R² = .338 overall). Findings support the value of distinguishing information quality from the interpretability and operational applicability of dashboard recommendations. Limitations include the cross-sectional design, single organizational context, and the self-report nature of the dependent variable. Practitioners seeking to improve user confidence in automated replenishment systems should attend to both the accuracy of underlying data and the clarity and local fit of generated recommendations.]]>
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