Scholarlink

<p>Sustaining engagement within a remote volunteer workforce presents a critical challenge for nonprofit startups. This study reports on a mixed-methods case study of a medical AI nonprofit, examining organizational factors associated with volunteer motivation. Data were collected via a cross-sectional survey of 112 volunteers from a single organization and analyzed using structural equation modeling (SEM) and thematic analysis. Exploratory factor analysis revealed that theoretically distinct support dimensions (purpose clarity, leadership behavior, professional development, and recognition) converged empirically into a single latent construct, <i>Organizational and Leadership Support</i>, consistent with how digitally mediated environments may blur contextual boundaries between support types. This construct was a strong, statistically significant correlate of volunteers' <i>Future Motivation</i> (standardized <i>β</i> = 0.745, <i>p</i> &lt; 0.001, <i>R</i><sup>2</sup> = 0.556). Thematic analysis of qualitative responses identified six salient themes (Purpose and Mission Alignment, Organizational Structure and Processes, Leadership, Professional Development, Recognition and Acknowledgment, and Team Dynamics). Mixed-methods integration revealed&#xa0;a motivational floor dynamic: While mission alignment is associated with &#xa0;a high baseline of&#xa0;engagement, organizational support serves as a stabilizing correlate against operational friction. These results offer initial empirical evidence that a coherent support system is associated with volunteer motivation in remote nonprofit startups, with practical implications for leaders and a set of testable propositions for future hypothesis-driven research. Given the cross-sectional design and intention-based outcome measure, findings should be interpreted as associational rather than causal.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Organizational and leadership support and its relationship to volunteer motivation in a remote-first nonprofit startup

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月23日

查看全文
  • Amil Khanzada,
  • Takuji Takemoto

摘要

Sustaining engagement within a remote volunteer workforce presents a critical challenge for nonprofit startups. This study reports on a mixed-methods case study of a medical AI nonprofit, examining organizational factors associated with volunteer motivation. Data were collected via a cross-sectional survey of 112 volunteers from a single organization and analyzed using structural equation modeling (SEM) and thematic analysis. Exploratory factor analysis revealed that theoretically distinct support dimensions (purpose clarity, leadership behavior, professional development, and recognition) converged empirically into a single latent construct, Organizational and Leadership Support, consistent with how digitally mediated environments may blur contextual boundaries between support types. This construct was a strong, statistically significant correlate of volunteers' Future Motivation (standardized β = 0.745, p < 0.001, R2 = 0.556). Thematic analysis of qualitative responses identified six salient themes (Purpose and Mission Alignment, Organizational Structure and Processes, Leadership, Professional Development, Recognition and Acknowledgment, and Team Dynamics). Mixed-methods integration revealed a motivational floor dynamic: While mission alignment is associated with  a high baseline of engagement, organizational support serves as a stabilizing correlate against operational friction. These results offer initial empirical evidence that a coherent support system is associated with volunteer motivation in remote nonprofit startups, with practical implications for leaders and a set of testable propositions for future hypothesis-driven research. Given the cross-sectional design and intention-based outcome measure, findings should be interpreted as associational rather than causal.