دانلود مقاله ISI انگلیسی شماره 42851
عنوان فارسی مقاله

جمعسپاری مبتنی بر حراج با پشتیبانی مدیریت مهارت

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
42851 2013 14 صفحه PDF سفارش دهید 11700 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Auction-based crowdsourcing supporting skill management
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Information Systems, Volume 38, Issue 4, June 2013, Pages 547–560

کلمات کلیدی
BPM انسان محور - جمع سپاری - جوامع آنلاین - بازار کار - مزایده - تکامل مهارت
پیش نمایش مقاله
پیش نمایش مقاله جمعسپاری مبتنی بر حراج با پشتیبانی مدیریت مهارت

چکیده انگلیسی

Crowdsourcing is a promising approach for enterprises to maintain a flexible workforce that is able to solve parts of business processes formerly processed in-house. Companies perceive crowdsourcing as a concept that allows receiving solutions quickly and at little cost. Similar to cloud computing where computing power is provided on demand, the crowd promises a flexible on-demand workforce. However, businesses realize that these benefits entail a lack of quality control. The main difference compared to traditional approaches in business process execution is that tasks or activities cannot be directly assigned to employees but are posted to the crowdsourcing platform. Its members can choose deliberately which tasks to book and work on. In fact, crowdsourcing is heavily affected by the loose-coupling of workers to crowdsourcers and the dynamics of the environment. Hence, it remains a major challenge to guarantee high-quality processing of tasks within the prescribed time limit. A further obstacle for adoption of crowdsourcing in enterprises is the fact that it is hard to specify a fair monetary reward in advance. The concepts introduced in this work allow to smoothly integrate new workers, to keep them motivated, and to help them develop and improve skills needed in the system. We present a crowdsourcing marketplace that matches complex tasks, requiring multiple skills, to suitable workers. The key to ensuring high quality lies in skilled members whose capabilities can be estimated correctly. To that end, we present auction mechanisms that help to correctly estimate workers and to evolve skills that are needed in the system. Crowdsourcers do not need to predefine exact prices but only maximum prices they are willing to pay since the actual rewards for tasks are formed by supply and demand. Extensive experiments show that our approach leads to improved crowdsourcing, in most cases.

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