Crowdsourcing from the Community to Resolve Complex Service Requests

Anthony O'Leary, Paidi O'Raghallaigh, Tadhg Nagle, David Sammon
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Abstract

The VMware Community may provide an opportunity to VMware to tap into the collective intelligence of its 2.4 million strong members to generate intelligent responses to complex Service Requests (SRs). Bill Joy, cofounder of Sun Microsystems, put it well when he said: "No matter who you are, most of the smartest people work for someone else..!". The data generated from the vSlua project using an Action Design Research approach shows that the Community resolves lower complexity SR issues efficiently, but begins to struggle as the complexity increases. Almost 50% of all the SRs were answered and over 50% of the answered SRs were resolved in under 6 hours.
从社区众包解决复杂的服务请求
VMware社区可能会为VMware提供一个机会,利用其240万强大成员的集体智慧,为复杂的服务请求(SRs)生成智能响应。太阳微系统公司(Sun Microsystems)的联合创始人比尔•乔伊(Bill Joy)说得好:“不管你是谁,大多数最聪明的人都在为别人工作……!”使用行动设计研究方法从vSlua项目中生成的数据表明,社区有效地解决了较低复杂性的SR问题,但随着复杂性的增加,开始挣扎。几乎50%的问题得到了回答,超过50%的问题在6小时内得到了解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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