Defence of doctoral dissertation in the field of usability research, MSc (Tech) Katrine Mahlamäki
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Industrial maintenance operations require data of completed maintenance tasks. Usually, these data are manually reported in a computerized maintenance management system (CMMS). Data quality in these systems varies and the purpose of this work was to study how the user experience of the CMMS affects the quality of manually collected data. The study included observing maintenance in practice to find out who collects the data and how. Sites that collected good quality data were compared with sites that had more challenges with data quality. Finally, the effect of social influence and usefulness of the CMMS on the data collection performance was studied.
The research revealed that data collection is a part of a socio-technical setting and many technological, organizational and people factors affect it. Criteria for each of these factors was defined and it can be used in improving data collection practices. Social influence, managerial support and usefulness all supported the collection of good quality data. The most influential of them was social influence. Initiatives to improve data quality should acknowledge this and make the interaction between data collectors and data users visible in the user interface of the CMMS.
Opponent: Professor Jayantha Prasanna Liyanage, University of Stavanger, Norway
Custos: Professor Marko Nieminen, Aalto University School of Science, Department of Computer Science
Contact information of the doctoral candidate: [email protected]
The defence will be organised via remote technology (Zoom). Link to the defence
The doctoral dissertation will be publicly displayed 10 days before the defence in the Aaltodoc publication archive of Aalto university.
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