从多重视角了解志愿者众包

IF 5 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information Systems Research Pub Date : 2024-03-04 DOI:10.1287/isre.2022.0290
Yifan Yu, Xue (Jane) Tan, Yong Tan
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引用次数: 0

摘要

我们的研究深入探讨了未被充分研究的志愿者众包活动领域。通过分析 827,260 名志愿者在九年内参与了由 74,556 个非营利组织发起的 183,445 个项目,研究揭示了志愿者的合作关系及其行为,这对于增加无偿劳动力供应和提高平台绩效至关重要。我们引入多重视角,揭示了多层网络动态如何对志愿者的持续参与、投入和组织间流动产生促进和制约作用。实际上,我们的发现为众包平台提供了完善决策和提高志愿者参与度的策略。通过整合纽带复用性和关系多元性等新型网络特征,平台可以更精确地预测用户行动。这样,推荐系统不仅能提高志愿者的参与度,还能促进组织间富有成效的过渡。在宏观层面,纽带多重性可能会导致 "富者愈富 "效应,扩大大型和小型/新兴非营利组织之间的发展不平等,而促进关系多元化则是一种潜在的补救措施。对于政策制定者来说,我们的研究为培育志愿者网络和跨组织合作提供了一个蓝图。利用多重方法,他们可以很好地管理无偿劳动部门,为非营利组织注入活力。我们的见解超越了众包的范畴,因为它们可以应用于任何具有多层网络的数字环境,有望为吸引和动员用户提供更有针对性的策略。
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Understanding Volunteer Crowdsourcing from a Multiplex Perspective
Our study delves into the understudied realm of volunteer crowdsourcing activities. Analyzing 827,260 volunteers’ participation in 183,445 projects initiated by 74,556 nonprofit organizations over nine years, the study unlocks insights into volunteers’ collaboration relationships and their behaviors, vital for increasing nonpaid labor supply and enhancing platform performance. We introduce a multiplex perspective to reveal how multilayer network dynamics offer enabling and constraining effects on volunteers’ continued participation, engagement, and interorganization movement. Practically, our findings equip crowdsourcing platforms with strategies to refine decision making and bolster volunteer engagement. By integrating novel network features such as tie multiplexity and relational pluralism, platforms can predict user actions more precisely. This fosters recommendation systems that not only elevate volunteer commitment but also facilitate productive interorganization transitions. At the macro level, tie multiplexity may lead to the “rich-get-richer” effect, enlarging the development inequality between large and small/new nonprofit organizations, whereas promoting relational pluralism is a potential remedy. For policymakers, our study offers a blueprint for nurturing volunteer networks and collaboration across organizations. Using a multiplex approach, they can adeptly manage the unpaid labor sector and invigorate nonprofit organizations. Our insights go beyond crowdsourcing as they could be applied to any digital context with multilayer networks, promising more tailored strategies to engage and mobilize users.
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来源期刊
CiteScore
9.10
自引率
8.20%
发文量
120
期刊介绍: ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.
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