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Comparing the Implementation of Two Dust Control Technologies from a Sociotechnical Systems Perspective
Emily J Haas1, Andrew B Cecala1, Jay F Colinet1
1Pittsburgh Mining Research Division, National Institute for Occupational Safety and Health, 626 Cochrans Mill Rd., Pittsburgh, PA 15236, USA.
Understanding social dynamics in sociotechnical systems (STS) is crucial for effective technology adoption in mining. Focusing on social factors improves communication and reduces technology implementation time.
Area of Science:
- Sociotechnical Systems (STS) Theory
- Organizational Behavior
- Mining Engineering
Background:
- Sociotechnical systems (STS) research traditionally prioritizes worker-technology interactions.
- Social processes during technical or environmental changes in organizations are often undervalued.
- Improved understanding of social dynamics can enhance organizational stability during change.
Purpose of the Study:
- To extend STS theory by applying meta-design principles.
- To analyze the impact of dust control technologies on social and technical factors in mining.
- To compare technology implementation under regulated versus unregulated conditions.
Main Methods:
- Case study analysis of two interventions: Helmet-CAM (unregulated) and Continuous Personal Dust Monitor (regulated).
- Examination of meta-design principles: organizational participation, flexibility, and communication.
- Assessment of employee knowledge, communication, and technology use for dust mitigation.
Main Results:
- Meta-design principles of participation, flexibility, and communication are key in STS.
- Technology implementation differs significantly when complying with formal requirements.
- A strong focus on social factors within STS can decrease technical unpredictability and adoption time.
Conclusions:
- Prioritizing social factors in sociotechnical systems enhances organizational adaptability.
- Effective communication and participation are vital for successful technology integration.
- Formal requirements can influence the social dynamics of technology adoption in mining organizations.
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