PropertyValue
?:abstract
  • This paper is presented as a quality-insight column designed to spark new research interest in computational views of how rapidly a learning curve declines during a period of prolonged interruption Specifically, the paper considers the case of the worldwide COVID-19 lockdown that afflicted business, industry, academia, and government As a result of being barred from practicing their respective functions, workers are prevented from the normal positive effects of being on a learning curve Instead of performance improvement due to learning curves, there is performance degradation due to the lockdown Although not enough live data is available yet for a direct modelling, the paper presents a postulated analytical framework that researchers can use later on for empirical modelling of the adverse impacts of the lockdown on learning curves A decline in learning can translate to a decline in quality of work and quality of products Mathematical methods suggested in the paper include exponential decay, hyperbolic decline, and half-life learning curves
is ?:annotates of
?:creator
?:journal
  • International_Journal_of_Quality_Engineering_and_Technology
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Quality insight: exponential decay of quality learning curves during COVID-19 lockdown
?:type
?:who_covidence_id
  • #868696
?:year
  • 2020

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