【摘要】 与商业领域众包不同，档案众包用户呈现明显的参与不均衡性。作为一种以用户为核心的知识生产方式，档案众包的有效激励必须建立在对用户类型的准确理解和细分的基础上。基于贡献质量和贡献数量维度可以将用户细分为核心关注区用户、优先改进区用户、辅助关注区用户和优势维持区用户四种类型，四种类型用户并非严格泾渭分明，而是存在流动转换，不同类型用户在众包实践中的贡献差异较大，应在准确理解和细分用户的基础上实施差异化激励。档案众包激励的本质并非吸引更多的参与，而是获得更多的贡献，激励措施真正的目标应当是激励“正确的人”。基于用户类型细分去讨论激励，有助于将激励从粗放的“人海战略”向更精准的“细分战略”推进。更多还原

【Abstract】 Unlike crowdsourcing in the business field, archives crowdsourcing users exhibit significant participation imbalances. As a user-centric knowledge production method, effective incentives for archives crowdsourcing must be based on an accurate understanding and segmentation of user types. Based on the dimensions of contribution quality and quantity, users can be segmented into four types: Core Focus Area Users, Priority Improvement Area Users, Auxiliary Focus Area Users, and Advantage Maintenance Area Users. These four types of users are not strictly distinct, but have fluid transformation. Different types of users exhibit significant differences in their contributions during crowdsourcing practices, and differentiated incentives should be implemented based on accurate understanding and segmentation of users. The essence of incentives in archives crowdsourcing is not to attract more participation but to obtain more contributions. The true goal of incentive measures should be to motivate the “right people.” Discussing incentives based on user type segmentation helps shift incentives from a broad “mass strategy” to a more precise “segmentation strategy.”更多还原