Choosing the right crowdsourcing strategy: Implications for governments' crowdsourcing initiatives
基于众包研究进展，提出政府应根据问题的范围和技术性选择众包策略，并介绍钓鱼、狩猎和集体生产三种策略的适用场景与成本收益。
Abstract Building on recent advances in crowdsourcing research, we argue that, when using crowdsourcing, governments should accurately select the crowd they wish to engage with, depending on the problem to be solved. While targeting a large crowd may be common, it is not always the most appropriate: it can waste significant resources without necessarily producing satisfactory results. We contend that the nature of the problem should determine the crowdsourcing strategy. We propose a typology of problems based on their scope and technicity: specific nontechnical, specific technical, broad nontechnical, and broad technical. We introduce the main crowdsourcing strategies—fishing, hunting, and collective production—explain the rationale for each, and offer a practitioner's perspective on their costs and benefits. We then discuss how each strategy is suited for solving diverse problems and propose guidelines for governments on using crowdsourcing more effectively.