IDEAS home Printed from https://ideas.repec.org/a/taf/rsmrxx/v23y2020i4p657-670.html
   My bibliography  Save this article

Antecedents and outcomes of social innovation: A global study of sport for development and peace organizations

Author

Listed:
  • Per G. Svensson
  • Fredrik O. Andersson
  • Tara Q. Mahoney
  • Jae-Pil Ha

Abstract

•An empirical application of the Bridgespan Group’s innovation capacity framework.•Innovation capacity dimensions explain significant variance beyond five control variables.•Product- and process-based social innovation predicted organizational performance.•Social innovation partially mediated relationship between capacity and performance.•Only idea pathways was a significant predictor across all types of social innovation.The purpose of this study was to examine antecedents and outcomes of social innovation in a global sample of sport for development and peace (SDP) organizations. Specifically, the authors used multiple regression analysis and parallel mediation analysis to test the relationships between innovation capacity, three types of social innovation, and organizational performance. An electronic survey was distributed to 817 SDP organizations. Results indicated five dimensions of innovation capacity explain a significant amount of variance in all three types of social innovation practices by SDP organizations when controlling for geographical location of agencies, where an organization’s founders were from, program location, organizational age, and organizational size. An additional regression analysis indicated two of three types of social innovation were also significant predictors of organizational performance. A parallel mediation analysis revealed the relationship between capacity and organizational performance was partially mediated by social innovation, specifically by program-focused social innovations. The findings from this study provide a foundation for funders and practitioners to identify organizational practices needed for facilitating different types of social innovations in SDP.

Suggested Citation

  • Per G. Svensson & Fredrik O. Andersson & Tara Q. Mahoney & Jae-Pil Ha, 2020. "Antecedents and outcomes of social innovation: A global study of sport for development and peace organizations," Sport Management Review, Taylor & Francis Journals, vol. 23(4), pages 657-670, October.
    • Handle: RePEc:taf:rsmrxx:v:23:y:2020:i:4:p:657-670
    DOI: 10.1016/j.smr.2019.08.001
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1016/j.smr.2019.08.001
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1016/j.smr.2019.08.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Shuzhi & Xie, Guangxiong, 2023. "Promoting green investment for renewable energy sources in China: Case study from autoregressive distributed Lagged in error correction approach," Renewable Energy, Elsevier, vol. 214(C), pages 359-368.
    2. Ma, Cong & Cheok, Mui Yee & Chok, Nyen Vui, 2023. "Economic recovery through multisector management resources in small and medium businesses in China," Resources Policy, Elsevier, vol. 80(C).
    3. Gao, Ming, 2023. "Role of financial inclusion and natural resources for green economic recovery in developing economies," Resources Policy, Elsevier, vol. 83(C).
    4. Wang, Lin & Dilanchiev, Azer & Haseeb, Mohammad, 2022. "The environmental regulation and policy assessment effect on the road to green recovery transformation," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 914-929.
    5. Chang, Lei & Mohsin, Muhammad & Hasnaoui, Amir & Taghizadeh-Hesary, Farhad, 2023. "Exploring carbon dioxide emissions forecasting in China: A policy-oriented perspective using projection pursuit regression and machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    6. Zhao, Zhen & Li, Xiangmin, 2024. "Social media and family investment behavior," Finance Research Letters, Elsevier, vol. 61(C).
    7. Chen-Yueh Chen & Ya-Lun Chou & Chun-Shih Lee, 2021. "Social Innovation, Employee Value Cocreation, and Organizational Citizenship Behavior in a Sport-Related Social Enterprise: Mediating Effect of Corporate Social Responsibility," Sustainability, MDPI, vol. 13(22), pages 1-10, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rsmrxx:v:23:y:2020:i:4:p:657-670. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rsmr .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.