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Performance Management within Social Network Sites: The Social Network Intelligence Process Method

机译:社交网站内的绩效管理:社交网络智能过程方法

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摘要

The huge amount of data and complexity of decisions in the current information age requires decision makers to utilize information analysis tools for supporting business decisions. This is also the case for social network sites which control huge amounts of data just waiting to be transformed from information to valuable knowledge through Business Intelligence methods. These techniques are not yet widely in use within companies whose core business revolves around user generated content. This research conducts a qualitative research to provide more knowledge and a deeper understanding of a Business Intelligence approach which supports the business model of companies exploiting a Social Network Site. Available Business Intelligence process models do not take the organizational aspects into account as continuous process improvement elements. Therefore, this work proposes the new method: the Social Network Intelligence Process (SNIP) Method. The SNIP Method and its related management information items were validated through a series of expert interviews and an in-depth single case study at the leading Dutch social network site.
机译:当前信息时代的海量数据和决策的复杂性要求决策者使用信息分析工具来支持业务决策。对于社交网站来说,控制大量数据只是在等待通过商业智能方法将其从信息转换为有价值的知识时也是如此。这些技术尚未在其核心业务围绕用户生成的内容的公司中广泛使用。这项研究进行了定性研究,以提供更多商业知识和对商业智能方法的更深刻理解,该方法支持利用社交网站的公司的商业模式。可用的Business Intelligence流程模型没有将组织方面作为连续的流程改进元素考虑在内。因此,这项工作提出了一种新的方法:社交网络智能过程(SNIP)方法。 SNIP方法及其相关管理信息项目通过一系列专家访谈和在荷兰领先的社交网站上进行的深入个案研究得到验证。

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