TY - JOUR
T1 - Growing the Volunteer Pool
T2 - Identifying Non-Volunteers Most Likely to Volunteer
AU - Lockstone-Binney, Leonie
AU - Holmes, Kirsten
AU - Meijs, Lucas C.P.M.
AU - Oppenheimer, Melanie
AU - Haski-Leventhal, Debbie
AU - Taplin, Ross
N1 - Publisher Copyright:
© 2021, International Society for Third-Sector Research.
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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.
KW - Non-volunteers
KW - Potentials
KW - Volunteerability
KW - Volunteering participation
KW - Volunteers
UR - http://www.scopus.com/inward/record.url?scp=85114688545&partnerID=8YFLogxK
U2 - 10.1007/s11266-021-00407-w
DO - 10.1007/s11266-021-00407-w
M3 - Article
SN - 0957-8765
VL - 33
SP - 777
EP - 794
JO - Voluntas
JF - Voluntas
IS - 4
ER -