Adoption of information-based innovations in industrial maintenance

Marttonen-Arola, Salla and Baglee, David (2019) Adoption of information-based innovations in industrial maintenance. In: The XXX ISPIM Innovation Conference, 16-19 June 2019, Florence, Italy.

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Abstract

Industrial maintenance services are seen to be revolutionised in the
near future by the emergence of the fourth industrial revolution and big data.
However so far the adoption of the big data –based innovations in maintenance
has not met the high expectations. Many late adopters that cannot afford to
experiment with big data could benefit from exploiting a resource efficient
technology strategy and adopting lean data –based innovations instead. This
paper studies the challenges of adopting data-based innovations in the context
of industrial maintenance services. A literature-based conceptual framework is
constructed to analyse the main factors influencing big data and lean data –
based innovation adoption under corrective, predetermined, and conditionbased maintenance. Two empirical case examples are used to demonstrate how
the framework can be used to analyse maintenance organisations’ motivation to
adopt data-based innovations.

Item Type: Conference or Workshop Item (Paper)
Additional Information: In: Bitran, I., Conn, S., Gernreich, C., Heber, M., Huizingh, K.R.E., Kokshagina, O., Torkkeli, M., Tynnhammar, M. (Eds.), Proceedings of the XXX ISPIM Innovation Conference - Celebrating Innovation - 500 Years Since Da Vinci - 16-19 June 2019 - Florence, Italy, Research Reports 93, ISBN 978-952-335-351-0.
Subjects: Business and Management > Business and Management
Engineering
Divisions: Faculty of Technology
Depositing User: Salla Marttonen-Arola
Date Deposited: 28 Aug 2019 10:42
Last Modified: 30 Sep 2020 10:45
URI: http://sure.sunderland.ac.uk/id/eprint/11058
ORCID for David Baglee: ORCID iD orcid.org/0000-0002-7335-5609

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