Title: Introducing user experience in manual data collection: the effect of social influence, managerial support, and usefulness

Authors: Katrine Mahlamäki; Marko Nieminen

Addresses: Department of Computer Science, Aalto University, P.O. Box 15400, FI-00076 Aalto, Finland ' Department of Computer Science, Aalto University, P.O. Box 15400, FI-00076 Aalto, Finland

Abstract: Previous research has found quality issues in the data that technicians collect about the assets that they maintain and repair. Factors affecting this manual collection of data include social influence, managerial support, and the usability of the computerised maintenance management systems (CMMS). The purpose of this work is to quantitatively investigate the results of previous qualitative studies regarding the role of social influence and the user experience of a CMMS in manual data collection. A survey is developed to quantitatively study manual data collection in a maintenance organisation. The results reveal that these factors influence data collection performance. This extends existing understanding of manual data collection and calls for future research that would overcome the limitations to this study caused by the limited number of respondents. The effects of social influence and usefulness have important implications for the interaction design of data collection tools.

Keywords: manual data collection; computerised maintenance management system; CMMS; user experience; social influence; data quality.

DOI: 10.1504/IJSEAM.2020.111425

International Journal of Strategic Engineering Asset Management, 2020 Vol.3 No.4, pp.330 - 348

Received: 31 Dec 2018
Accepted: 16 Dec 2019

Published online: 13 Nov 2020 *

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