Acceptance and use of data visualization technologies in mining short interval control systems (SIC)

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Abstract

This study examines the impact of miners' performance expectancy, effort expectancy, social influence and facilitating conditions on digital visualization short interval control systems adoption. We propose a set of four hypotheses adapted from the Unified Theory of Acceptance and Use of Technology (UTAUT). Data from a survey of underground miners was analyzed to validate our proposed hypotheses. Our study found that Performance Expectancy does not affect Digital Visualization SIC Adoption, while Effort Expectancy positively impacts user adoption. This research contributes to the emerging literature on the adoption and use of data analytics as a capability that allows individual users in various industries to drive insights. The study presents some constructs from the UTAUT model and tests a theory on the influence of performance expectancy, effort expectancy, social influence, and facilitating conditions, specifically focusing on the mining industry context.

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Masialeti, M., Mahony, J., & Wang, W. (2024). Acceptance and use of data visualization technologies in mining short interval control systems (SIC). Issues in Information Systems, 25(1), 71–84. https://doi.org/10.48009/1_iis_2024_107

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