To be or not to be: negotiating leisure constraints with technology and data analytics amid the COVID-19 pandemic
Genre
Post-printDate
2020-12-24Author
Du, JamesFloyd, Carter
Kim, Amy C. H.
Baker, Bradley

Sato, Mikihiro
James, Jeffrey D.
Funk, Daniel

Department
Sport and Recreation ManagementPermanent link to this record
http://hdl.handle.net/20.500.12613/6276
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https://doi.org/10.1080/02614367.2020.1862284Abstract
The COVID-19 pandemic is having an unprecedented impact on the leisure industry. Mandatory directives such as social distancing and stay-at-home/shelter-in-place orders reduce disease transmission and protect the health and well-being of the public. However, such strategies might impair active leisure participation. We identify challenges and constraints of engaging in active leisure activities during the pandemic and explore how the general public can use technology and big data analytics to negotiate constraints during this uncertain time. Creative applications of big data analytics demonstrate that negotiating active leisure constraints and battling the pandemic are not contradictory goals. We recommend society to harness the power of these data-driven tools to effectively navigate interpersonal, structural, and intrapersonal constraints to active leisure while improving the efficiency with which we combat the spread of COVID-19.Citation
James Du, Carter Floyd, Amy C. H. Kim, Bradley J. Baker, Mikihiro Sato, Jeffrey D. James & Daniel C. Funk (2020) To be or not to be: negotiating leisure constraints with technology and data analytics amid the COVID-19 pandemic, Leisure Studies, DOI: 10.1080/02614367.2020.1862284Citation to related work
This is an Accepted Manuscript of an article published by Taylor & Francis in 'Leisure Studies' on 2020-12-24, available online: https://www.tandfonline.com/10.1080/02614367.2020.1862284.Has part
Leisure StudiesADA compliance
For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.eduae974a485f413a2113503eed53cd6c53
http://dx.doi.org/10.34944/dspace/6258