首页> 外文期刊>Journal of Enterprise Information Management >Digital traces for business intelligence: A case study of mobile telecoms service brands in Greece
【24h】

Digital traces for business intelligence: A case study of mobile telecoms service brands in Greece

机译:用于商业智能的数字痕迹:以希腊移动电信服务品牌为例

获取原文
获取原文并翻译 | 示例
       

摘要

Purpose - Data from social media (SM) has grown exponentially and created new opportunities for businesses to supplement their business intelligence (BI). However, there are many different platforms all of which are in a constant state of evolution. The purpose of this paper is to describe a generic methodology for the gathering of data from SM and transforming it into valuable BI. Design/methodology/approach - The approach taken is termed virtual excavation and builds on the similarities between the manipulation of technological artefacts virtual communities using various forms of SM and the excavation and analysis of physical artefacts found in archaeological settlements. Findings - The paper reports on a case study using this technique that looks at the Facebook fan pages of three mobile telecommunications service providers in Greece. The paper identifies many of the standard BI indicators as well as demonstrating that additional information relating to cross-page use can be collected by looking at how users manipulate artefact such as the "like" button in Facebook. Research limitations/implications - Although the methodology is widely applicable, the paper only reports on the analysis of one platform, Facebook, and is heavily reliant on visualization tools. Future work will examine different platforms and different tools for analysis. Practical implications - The paper discusses some of the ways in which this approach could be used and suggests some areas in which it might be applied. Originality/value - The approach of using virtual excavations to extract BI from virtual communities in online SM offers a systematic approach for dealing with a variety of information from a variety of different media that is not found in techniques based on information systems or management science.
机译:目的-来自社交媒体(SM)的数据呈指数增长,并为企业创造了补充其商业智能(BI)的新机会。但是,有许多不同的平台,它们都处于不断发展的状态。本文的目的是描述一种从SM收集数据并将其转化为有价值的BI的通用方法。设计/方法/方法-所采取的方法被称为虚拟挖掘,其建立在使用各种形式的SM操纵技术文物虚拟社区与考古定居点中发现和分析的自然文物之间的相似性上。调查结果-该论文报告了使用这种技术的案例研究,该案例研究了希腊三家移动电信服务提供商的Facebook粉丝页面。该论文确定了许多标准的BI指标,并表明可以通过查看用户如何操纵人工制品(例如Facebook中的“喜欢”按钮)来收集与跨页使用有关的其他信息。研究局限性/含义-尽管该方法学广泛适用,但本文仅报告了对一个平台Facebook的分析,并且严重依赖于可视化工具。未来的工作将研究不同的平台和不同的分析工具。实际意义-本文讨论了可以使用此方法的一些方法,并建议了可以应用此方法的某些领域。原创性/价值-使用虚拟挖掘从在线SM的虚拟社区中提取BI的方法提供了一种系统的方法,用于处理来自各种不同媒体的各种信息,而这是基于信息系统或管理科学的技术所没有的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号