The study arrives at a moment when China has become one of the world’s most fertile laboratories for digitally mediated giving. Internet fundraising platforms, mobile payment ecosystems, and artificial intelligence tools have transformed the way donations flow, allowing even small grassroots organizations to reach millions of potential donors with a single campaign. Yet scholars have struggled to explain precisely how this digital infrastructure translates into greater social impact. Earlier research tended to treat technology as a neutral tool, a cost-saving channel for collecting money, or a marketing megaphone. Yin and Miao argue that this framing misses the essential point: what changes is the information itself, its cost, its granularity, and its dynamism, and those informational properties ripple through every layer of an organization’s operational logic.

To build their argument, the researchers followed three Chinese nonprofit organizations over an extended period, tracing how their digital practices evolved and what consequences followed. Case study research of this kind, grounded in the methodological tradition of inductive theory building, allows scholars to unpack micro-mechanisms that large-scale surveys often obscure. Rather than asking whether digital tools correlate with fundraising success, the authors asked what actually happens inside organizations as they adopt and adapt digital philanthropy, and how those internal changes compound over time into amplified social outcomes.

From this longitudinal analysis the authors propose what they call the Information-Impact theory. The theory conceptualizes digital philanthropy as an information-driven paradigm in which the defining feature of digital technologies is their capacity to generate, transmit, and process information at radically lower cost and higher speed than analog alternatives. Classic information systems scholarship, including the influential DeLone and McLean model of information systems success, has long held that information quality drives user satisfaction and system benefits. Yin and Miao extend that logic into the third sector, arguing that information is not merely an input to nonprofit operations but the substrate from which scale, precision, and legitimacy can be manufactured.

The first of the three mechanisms the study identifies is a scale expansion mechanism. When information can be produced and distributed at near-zero marginal cost, nonprofit organizations can activate what the authors describe as scalable management for cross-boundary resource mobilization. A campaign that once required printed materials, physical events, and labor-intensive donor cultivation can now propagate through social networks at negligible expense, reaching audiences far beyond an organization’s geographic or institutional footprint. Prior field experiments on peer-to-peer solicitation through online social networks have shown how digital channels change the economics of fundraising, and the Chinese cases demonstrate how organizations institutionalize that advantage, building management systems designed from the ground up for mass participation rather than retrofitting traditional structures.

The second mechanism is a precision-deepening mechanism. High-granularity information, meaning data captured at fine levels of detail about beneficiaries, donors, and project conditions, enables algorithmic matching between resources and needs. This is where the study’s technical contribution becomes most visible. Complex social problems, such as poverty alleviation, education access, or disaster relief, are rarely uniform; they vary by household, by region, and over time. Digital platforms collect continuous streams of data that allow nonprofits to segment needs with unprecedented resolution and to direct resources where they will do the most good. Machine learning research on crowdfunding performance and explainable AI for charitable decision-making suggests that such algorithmic matching is becoming increasingly sophisticated, and the Chinese cases show organizations embedding these techniques into their core service delivery rather than treating them as experimental side projects.

The third mechanism, which the authors call an agile reshaping mechanism, concerns the temporal dimension of information. Highly dynamic information flows enable rapid feedback loops between organizations and their stakeholders, and these loops do something subtler than improving efficiency: they generate what the researchers describe as procedural legitimacy and multi-stakeholder trust. Organizational theorists have long argued, following Mark Suchman’s classic work on legitimacy, that nonprofits survive on the credibility granted to them by donors, regulators, and beneficiaries. Digital platforms make an organization’s decision processes visible in near real time. Donors can see where money goes, beneficiaries can report outcomes, and regulators can audit behavior. Transparency ceases to be an annual report and becomes a continuous property of operations, and that procedural visibility builds trust in a way that retrospective reporting cannot.

Individually, each of these three mechanisms would be significant. What makes the study’s argument distinctive is the claim that the mechanisms are synergistic and generate a self-reinforcing flywheel effect. Scale expansion brings in more participants and more data; the growing data stream deepens precision; precision improves outcomes and feedback quality; and agile responses to that feedback strengthen legitimacy, which in turn attracts more resources and further scale. The flywheel metaphor implies that digital philanthropy, once set in motion, tends to compound rather than merely add. Social impact is amplified systematically, not incrementally, because the mechanisms feed one another in a virtuous cycle. For nonprofit leaders, the practical implication is that partial or superficial digital adoption may forfeit these compounding effects: the flywheel only spins when information infrastructure, organizational processes, and stakeholder engagement are transformed together.

The study also carries weighty caveats. A multiple-case design in a single national context, however rich, cannot by itself prove that the Information-Impact theory generalizes to nonprofits in other institutional environments, and the authors position the theory as a contextualization of classic information systems thinking to the third sector rather than a universal law. There are also darker possibilities that the digital lens raises, from surveillance concerns in data-intensive philanthropy to the dependence of nonprofits on powerful platform companies, themes that other scholars of platformization and digital governance have emphasized. Still, the strategic roadmap the authors offer is concrete: nonprofits seeking digital transformation should think less about acquiring tools and more about building the informational properties of scale, granularity, and dynamism into their operational logic. If the flywheel holds, the organizations that succeed will be those that treat information itself as their most renewable resource.

Subject of Research: Digital philanthropy and the amplification of social impact in nonprofit organizations in China

Article Title: How digital philanthropy amplifies the social impact of nonprofit organizations: a multiple-case study from China

Article References: Yin, H., & Miao, Q. (2026). How digital philanthropy amplifies the social impact of nonprofit organizations: a multiple-case study from China. Global Public Policy and Governance. https://doi.org/10.1007/s43508-026-00158-8

Image Credits: AI Generated

DOI: 10.1007/s43508-026-00158-8

Keywords: digital philanthropy, nonprofit organizations, social impact, Information-Impact theory, information systems, China, crowdfunding, algorithmic matching, organizational legitimacy, digital transformation, case study research, third sector