Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer
dc.contributor.author | Lockstone-Binney, L. | |
dc.contributor.author | Holmes, Kirsten | |
dc.contributor.author | Meijs, L.C.P.M. | |
dc.contributor.author | Oppenheimer, M. | |
dc.contributor.author | Haski-Leventhal, D. | |
dc.contributor.author | Taplin, Ross | |
dc.date.accessioned | 2023-04-26T05:45:48Z | |
dc.date.available | 2023-04-26T05:45:48Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Lockstone-Binney, L. and Holmes, K. and Meijs, L.C.P.M. and Oppenheimer, M. and Haski-Leventhal, D. and Taplin, R. 2022. Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer. Voluntas. 33 (4): pp. 777-794. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/91772 | |
dc.identifier.doi | 10.1007/s11266-021-00407-w | |
dc.description.abstract |
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. | |
dc.language | English | |
dc.publisher | SPRINGER | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/arc/LP140100528 | |
dc.subject | Social Sciences | |
dc.subject | Social Issues | |
dc.subject | Non-volunteers | |
dc.subject | Volunteers | |
dc.subject | Volunteering participation | |
dc.subject | Volunteerability | |
dc.subject | Potentials | |
dc.subject | SELF-EFFICACY | |
dc.subject | WORK | |
dc.subject | MOTIVATIONS | |
dc.subject | VALIDATION | |
dc.subject | TIME | |
dc.title | Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer | |
dc.type | Journal Article | |
dcterms.source.volume | 33 | |
dcterms.source.number | 4 | |
dcterms.source.startPage | 777 | |
dcterms.source.endPage | 794 | |
dcterms.source.issn | 0957-8765 | |
dcterms.source.title | Voluntas | |
dc.date.updated | 2023-04-26T05:45:48Z | |
curtin.department | School of Management and Marketing | |
curtin.department | School of Accounting, Economics and Finance | |
curtin.accessStatus | Open access | |
curtin.faculty | Faculty of Business and Law | |
curtin.contributor.orcid | Taplin, Ross [0000-0002-5353-7448] | |
curtin.contributor.orcid | Holmes, Kirsten [0000-0001-9838-7538] | |
dcterms.source.eissn | 1573-7888 | |
curtin.contributor.scopusauthorid | Taplin, Ross [7004079505] | |
curtin.contributor.scopusauthorid | Holmes, Kirsten [7201657725] | |
curtin.repositoryagreement | V3 |