集体智慧在资讯科技服务业的应用

M. Vukovic, O. Stewart
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引用次数: 7

摘要

IT外包使公司能够将IT服务(如基础设施和应用程序管理)外包给外部提供商。IT服务交付依赖于应用程序和基础设施专家共同拥有的知识。随着利用与网络相连的人的专业知识的最新进展,服务企业也开始寻求有效利用员工集体知识的策略。在本文中,我们将集体智能应用于三种不同的服务类型:1)自动化(翻译解决方案),2)基础设施管理(资产清单发现)和3)应用程序管理(软件开发)。我们推断出一组显著属性(即,输入、输出和集体输入的大小)作为在服务业务中使用集体智慧的关键要素。我们讨论了不同的集体智能服务之间的一些差异,并提出了由此产生的独特属性,作为可能激发服务业务进一步研究的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collective Intelligence Applications in IT Services Business
IT outsourcing enables companies to contract out IT services, such as infrastructure and application management to external providers. IT services delivery relies on knowledge that is in the collective possession of application and infrastructure specialists. With recent advances in harnessing the expertise of network-connected humans, services businesses have also started to seek strategies to efficiently utilize the collective knowledge of their employees. In this paper, we present the application of collective intelligence to three different service types: 1) automation (translation solution), 2) infrastructure management (asset inventory discovery) and 3) application management (software development). We extrapolate a set of salient properties (i.e., input, output, and size of the collective input) as the key elements for employing collective intelligence within the services business. We discuss some of the differences amongst the disparate collective intelligence services and present the resulting distinctive properties as challenges that may inspire further research in services business.
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