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Influence of social software features on the reuse of Business Intelligence reports

机译：社交软件功能对商业智能报表重用的影响

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摘要

Vendors of Business Intelligence (BI) software have recently started extending their systems by features from social software. The generated reports may include profiles of report authors and later be supplemented by information about users who accessed the report, user evaluations of the report, or other social cues. With these features, users can support each other in discovering and filtering valuable information in the context of BI. Users who consider reusing an existing report that was not designed by or for them can now not only peruse the report content but also take the social cues into consideration. We analyze which report features influence their perception of report usefulness. Our analysis is based on the elaboration likelihood model (ELM) which assumes that information recipients are either influenced by the quality of information or peripheral cues. We conduct an experiment with knowledge workers from different companies. The results confirm most hypotheses derived from ELM in the context of BI reports but we also find a deviation from the basic ELM expectations. We find that even people who are able and motivated to scrutinize the report content use community cues to decide on report usefulness in addition to report quality considerations.
机译：商业智能（BI）软件的供应商最近开始通过社交软件的功能扩展其系统。所生成的报告可以包括报告作者的个人资料，并且随后由有关访问该报告的用户的信息，该报告的用户评估或其他社交提示来补充。借助这些功能，用户可以互相支持，以在BI上下文中发现和过滤有价值的信息。考虑重新使用不是由其设计或为他们设计的现有报告的用户，现在不仅可以细读报告的内容，还可以考虑社交线索。我们分析哪些报告功能会影响他们对报告有用性的看法。我们的分析基于拟订可能性模型（ELM），该模型假定信息接收者受信息质量或外围提示的影响。我们与来自不同公司的知识工作者进行了一项实验。结果证实了在BI报告中大多数源自ELM的假设，但我们也发现与基本ELM期望值存在偏差。我们发现，即使是那些有能力并有动机仔细检查报告内容的人，除了报告质量方面的考虑之外，还使用社区线索来决定报告的有用性。

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