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Applying the Precaution Adoption Process Model to the Acceptance of Mine Safety and Health Technologies

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Abstract

Mineworkers are continually introduced to protective technologies on the job. Yet, their perceptions toward the technologies are often not addressed until they are actively trying to use them, which may halt safe technology adoption and associated work practices. This study explored management and worker perspectives toward three technologies to forecast adoption and behavioral intention on the job. Interviews and focus groups were conducted with 21 mineworkers and 19 mine managers to determine the adoption process stage algorithm for workers and managers, including perceived barriers to using new safety and health technologies. Differences between workers and managers were revealed in terms of readiness, perceptions, and initial trust in using technologies. Workers, whether they had or had not used a particular technology, still had negative perceptions toward its use in the initial introduction and integration at their mine site, indicating a lengthy time period needed for full adoption. The key finding from these results is that a carefully considered and extended introduction of technology for workers in Stage 3 (undecided to act) is most important to promote progression to Stage 5 (decided to act) and to avoid Stage 4 (decided not to act). In response, organizational management may need to account for workers’ particular stage algorithm, using the Precaution Adoption Process Model, to understand how to tailor messages about protective technologies, administer skill-based trainings and interventions that raise awareness and knowledge, and ultimately encourage safe adoption of associated work practices.

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  1. Pittsburgh Mining Research Division, Human Factors Branch, National Institute for Occupational Safety and Health, 626 Cochrans Mill Rd, Pittsburgh, PA, 15236, USA

    Emily J. Haas

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Haas, E.J. Applying the Precaution Adoption Process Model to the Acceptance of Mine Safety and Health Technologies. Occup Health Sci 2, 43–66 (2018). https://doi.org/10.1007/s41542-018-0011-y

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