Turn the handle everyday: developing circular practices in hospitality through auto action learning

This paper explores the role of auto action learning in supporting circular practices. It presents a case study of small UK based hospitality businesses taking part in a composting initiative and considers how participants learn new actions through auto-action learning enabled by scientific social media (SSM). This novel approach generates written reflections, sentiment ratings, and emotions from those involved in producing compost at the business premises. Analysis examines both learning engagement and levels of learning in relation to task, self and ‘learning to learn’. Findings suggest varied engagement with auto action learning; where there is engagement, participants express positive emotions towards composting and waste management, despite challenges in achieving aspirations. The discussion reflects on auto action learning adaptation, through SSM, to initiate, support and potentially sustain circular practices in small businesses. Conclusions and recommendations propose further research to support the development of SSM enabled auto action learning for positive environmental impact.

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Publication Details

Journal
Action Learning Research and Practice
Published
2024-12-26
DOI
https://doi.org/10.1080/14767333.2024.2442122
Primary Topic
Innovation and Socioeconomic Development
Type
article
Field-Weighted Citation Impact
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article

Turn the handle everyday: developing circular practices in hospitality through auto action learning

John Lever, Leigh Morland
Action Learning Research and Practice
Innovation and Socioeconomic Development
article

Turn the handle everyday: developing circular practices in hospitality through auto action learning

John Lever, Leigh Morland
article en

Abstract

This paper explores the role of auto action learning in supporting circular practices. It presents a case study of small UK based hospitality businesses taking part in a composting initiative and considers how participants learn new actions through auto-action learning enabled by scientific social media (SSM). This novel approach generates written reflections, sentiment ratings, and emotions from those involved in producing compost at the business premises. Analysis examines both learning engagement and levels of learning in relation to task, self and ‘learning to learn’. Findings suggest varied engagement with auto action learning; where there is engagement, participants express positive emotions towards composting and waste management, despite challenges in achieving aspirations. The discussion reflects on auto action learning adaptation, through SSM, to initiate, support and potentially sustain circular practices in small businesses. Conclusions and recommendations propose further research to support the development of SSM enabled auto action learning for positive environmental impact.

Action Learning Research and PracticeVol. 22(1)
Manchester Metropolitan University (GB), University of Huddersfield (GB)
Openalex Percentile: Top 55%
Innovation and Socioeconomic Development
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Turn the handle everyday: developing circular practices in hospitality through auto action learning — John Lever, Leigh Morland · Action Learning Research and Practice (2024) | TGRS Research Map | TGRS