Author(s)
Term
4. term
Education
Publication year
2025
Submitted on
2025-05-27
Pages
51 pages
Abstract
This thesis critically investigates the adoption and interpretation of predictive maintenance (PdM) dashboards within industrial environments, integrating insights from Human–Computer Interaction (HCI), Technology Acceptance Model 2 (TAM2), and the TPOM framework. Drawing on document analysis and user survey data, the study examines how dashboard usability, social dynamics, and organizational structures influence technology uptake. Using Braun and Clarke’s thematic analysis, the research identifies key themes such as cross-context usability, perceived usefulness, and organizational embedding. Findings reveal that even well-engineered dashboards face resistance or misinterpretation when they are misaligned with user cognition, workplace routines, or institutional culture. By situating PdM dashboards as techno-anthropological artifacts, the study offers practical recommendations for designing more inclusive, interpretable, and adaptive digital tools. This work contributes to the growing discourse on humancentered industrial analytics and highlights the socio-technical conditions necessary for meaningful digital transformation.
Documents
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