隨著時代的改變，企業為了因應變化、追求創新，從人事管理、系統開發、設計文案等，皆需要有相關知識背景的人一同參與協助，才能改善現況，不停於現況。為此，企業需透過人力銀行等平台，來尋找適合的求職者。但有些短期的工作任務，需要特殊領域的人力協助完成，不大可能為了每項短期任務，而雇用正式員工，長期下來浪費大量的人事成本，因此會透過群眾外包（Crowdsourcing）的方式，將任務分派給第三方的個人或組織，協助完成任務，進而節省成本。
然而，透過群眾外包（Crowdsourcing）的方式，是否能找到真的能完成指定任務的人才？本研究為了解決此問題，透過分析與研究後，搭配系統模擬的方式，提出了一套「一個適用於群眾外包平台的工作者信譽評分機制」的系統模型，進而降低找錯人才的機率，透過群眾外包平台，幫助企業與個人更有效率完成任務。
本研究進行群眾外包、信譽評分機制相關的文獻蒐集與分析，並參考了一些實際運作的群眾外包平台，設計出一個模擬實驗，運用本研究提出的信譽評分機制，評量出每個工作者的信譽分數，並根據模擬實驗的結果進行分析，在不同的角色考量下，信譽評分機制可以為角色提升各自的利益。

Along with the change in times, the entrepreneur need more the talent join the organization to conquer changes and pursue innovation. The enterprises find suitable candidates through employment agency platforms. However, some short-term tasks require special manpower to assist in the completion. It is unlikely that regular staff will be hired for each short-term task and a large amount of personnel costs will be wasted over a long period of time. Therefore, the task will be carried out through crowdsourcing. Assign to third parties individuals or organizations to help accomplish the task, thereby saving costs.
However, by way of Crowdsourcing, can requesters find workers who do job well? In order to solve this problem, this dissertation proposes a set of system model of "A Worker Reputation Mechanism for Crowdsourcing Platform" through analysis and research and system simulation, so as to reduce the probability of finding the wrong person, Crowdsourcing platform helps enterprises and individuals to accomplish their tasks more efficiently.
In this study, the literatures about mass outsourcing and reputation mechanism were collected and analyzed. With reference to several practical outsourcing platforms, a simulation experiment was designed. Using the reputation mechanism proposed in this paper, each worker Reputation score, and based on the results of simulation experiments, reputation mechanism can bring benefits to the crowd outsourcing platform under the consideration of different roles.

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