Smart Maintenance: Instrument Development, Content Validation and an Empirical Pilot
Journal article, 2020

Purpose: Scholars and practitioners within industrial maintenance management are focused on understanding antecedents, correlates and consequences of the concept of “Smart Maintenance”, which consists of the four dimensions data-driven decision-making, human capital resource, internal integration and external integration. In order to facilitate this understanding, valid and reliable empirical measures need to be developed. Therefore, this paper aims to develop a psychometric instrument that measures the four dimensions of Smart Maintenance.
Design/methodology/approach: The results from two sequential empirical studies are presented, which include generating items to represent the constructs, assessment of content validity, as well as an empirical pilot test. With input from 50 industrial experts, a pool of 80 items that represent the constructs are generated. Thereafter, using data from 42 industrial and academic raters, the content validity of all items is assessed quantitatively. Finally, using data from 59 manufacturing plants, the dimensionality and factor structure of the instrument are tested.
Findings: We demonstrate content validity and provide evidence of good model fit and psychometric properties for one-factor models with 8-11 items for each of the four constructs, as well as a combined 24-item four-factor model.
Originality/value: We provide recommendations for scholarly use of the instrument in further theory-testing research, as well as its practical use to assess, benchmark and longitudinally evaluate Smart Maintenance within the manufacturing industry.



Instrument Development

Content Validation



Jon Bokrantz

Chalmers, Industrial and Materials Science, Production Systems

Anders Skoogh

Chalmers, Industrial and Materials Science, Production Systems

Cecilia Berlin

Chalmers, Industrial and Materials Science, Design and Human Factors

Johan Stahre

Chalmers, Industrial and Materials Science, Production Systems

International Journal of Operations and Production Management

01443577 (ISSN) 17586593 (eISSN)

Vol. 40 4 481-506

SMASh – Smart Maintenance Assessment

VINNOVA, 2017-05-01 -- 2019-10-31.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Mechanical Engineering

Business Administration

Areas of Advance




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