Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer
There are ongoing management and societal challenges affecting volunteering participation. These place a premium on organizations identifying individuals that currently do not volunteer but have the willingness and capacity to do so, the “Potentials”. Supplementing the limited non-volunteer literatu...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
SPRINGER
2022
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| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/LP140100528 http://hdl.handle.net/20.500.11937/91772 |
| _version_ | 1848765588219887616 |
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| author | Lockstone-Binney, L. Holmes, Kirsten Meijs, L.C.P.M. Oppenheimer, M. Haski-Leventhal, D. Taplin, Ross |
| author_facet | Lockstone-Binney, L. Holmes, Kirsten Meijs, L.C.P.M. Oppenheimer, M. Haski-Leventhal, D. Taplin, Ross |
| author_sort | Lockstone-Binney, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | There are ongoing management and societal challenges affecting volunteering participation. These place a premium on organizations identifying individuals that currently do not volunteer but have the willingness and capacity to do so, the “Potentials”. Supplementing the limited non-volunteer literature, we seek to quantify this potential volunteer pool using constructs aligned to the willingness, capability and availability dimensions from Meijs et al.’s (Volunt Action 8:36–54, 2006) volunteerability framework. Using binary logistic regression testing with a nationally representative sample of Australian volunteers and non-volunteers, we found partial support for the framework’s willingness and capability dimensions determining volunteer status. We then applied a predictive equation to the non-volunteer sample to calculate their percentage likelihood of volunteering, to identify a cohort of “Potential” volunteers. Further testing revealed statistically significant differences between this cohort compared to other non-volunteers based on various interventions for promoting volunteering. The implications of our novel study and an associated research agenda are discussed. |
| first_indexed | 2025-11-14T11:37:38Z |
| format | Journal Article |
| id | curtin-20.500.11937-91772 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:37:38Z |
| publishDate | 2022 |
| publisher | SPRINGER |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-917722023-06-06T04:02:28Z Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer Lockstone-Binney, L. Holmes, Kirsten Meijs, L.C.P.M. Oppenheimer, M. Haski-Leventhal, D. Taplin, Ross Social Sciences Social Issues Non-volunteers Volunteers Volunteering participation Volunteerability Potentials SELF-EFFICACY WORK MOTIVATIONS VALIDATION TIME There are ongoing management and societal challenges affecting volunteering participation. These place a premium on organizations identifying individuals that currently do not volunteer but have the willingness and capacity to do so, the “Potentials”. Supplementing the limited non-volunteer literature, we seek to quantify this potential volunteer pool using constructs aligned to the willingness, capability and availability dimensions from Meijs et al.’s (Volunt Action 8:36–54, 2006) volunteerability framework. Using binary logistic regression testing with a nationally representative sample of Australian volunteers and non-volunteers, we found partial support for the framework’s willingness and capability dimensions determining volunteer status. We then applied a predictive equation to the non-volunteer sample to calculate their percentage likelihood of volunteering, to identify a cohort of “Potential” volunteers. Further testing revealed statistically significant differences between this cohort compared to other non-volunteers based on various interventions for promoting volunteering. The implications of our novel study and an associated research agenda are discussed. 2022 Journal Article http://hdl.handle.net/20.500.11937/91772 10.1007/s11266-021-00407-w English http://purl.org/au-research/grants/arc/LP140100528 SPRINGER fulltext |
| spellingShingle | Social Sciences Social Issues Non-volunteers Volunteers Volunteering participation Volunteerability Potentials SELF-EFFICACY WORK MOTIVATIONS VALIDATION TIME Lockstone-Binney, L. Holmes, Kirsten Meijs, L.C.P.M. Oppenheimer, M. Haski-Leventhal, D. Taplin, Ross Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer |
| title | Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer |
| title_full | Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer |
| title_fullStr | Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer |
| title_full_unstemmed | Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer |
| title_short | Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer |
| title_sort | growing the volunteer pool: identifying non-volunteers most likely to volunteer |
| topic | Social Sciences Social Issues Non-volunteers Volunteers Volunteering participation Volunteerability Potentials SELF-EFFICACY WORK MOTIVATIONS VALIDATION TIME |
| url | http://purl.org/au-research/grants/arc/LP140100528 http://hdl.handle.net/20.500.11937/91772 |