• Login
    View Item 
    •   Home
    • Faculty/ Researcher Works
    • COVID-19 Research
    • View Item
    •   Home
    • Faculty/ Researcher Works
    • COVID-19 Research
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of TUScholarShareCommunitiesDateAuthorsTitlesSubjectsGenresThis CollectionDateAuthorsTitlesSubjectsGenres

    My Account

    LoginRegister

    Help

    AboutPeoplePoliciesHelp for DepositorsData DepositFAQs

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    To be or not to be: negotiating leisure constraints with technology and data analytics amid the COVID-19 pandemic

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Funk-PostPrint-2020-12.pdf
    Size:
    1.183Mb
    Format:
    PDF
    Download
    Genre
    Post-print
    Date
    2020-12-24
    Author
    Du, James
    Floyd, Carter
    Kim, Amy C. H.
    Baker, Bradley cc
    Sato, Mikihiro
    James, Jeffrey D.
    Funk, Daniel cc
    Department
    Sport and Recreation Management
    Subject
    COVID-19
    Big data analytics
    Leisure constraint negotiation
    Smart technology
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/6276
    
    Metadata
    Show full item record
    DOI
    https://doi.org/10.1080/02614367.2020.1862284
    Abstract
    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: 10.1080/02614367.2020.1862284
    Citation 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 Studies
    ADA compliance
    For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
    ae974a485f413a2113503eed53cd6c53
    http://dx.doi.org/10.34944/dspace/6258
    Scopus Count
    Collections
    COVID-19 Research

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Temple University Libraries | 1900 N. 13th Street | Philadelphia, PA 19122
    (215) 204-8212 | scholarshare@temple.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.