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Transactive memory systems as a collective filter for mitigating information overload in digitally enabled organizational groups

机译：事务性存储系统作为集体过滤器，可减轻数字启用组织组中的信息过载

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摘要

With the increasing processing power and plummeting costs of information and communication technologies, the ability of employees to ubiquitously access and disseminate information grows. However, emerging research shows that individuals are struggling to process information as fast as it arrives. The problem of information overload is a significant one for contemporary knowledge-intensive organizations because it can adversely affect productivity, decision making, and employee morale. To combat this problem, organizations often invest in technical solutions such as business intelligence software or semantic technologies. While such technical approaches can certainly aid in reducing information overload, less attention has been directed at understanding how collective behavior, and in particular transactive memory systems, might enhance the ability of organizations to cope with information overload. In this study, we ask whether (and, if so, how do) transactive memory systems act as a collective filter to enable organizational groups to mitigate the potential for information overload. We used social network analysis and interview evidence from the R&D departments of two high-technology firms in the life science industry and found that individuals spontaneously organized without any centralized control to create a collective filter. For example, we found that one set of individuals specialized in filtering external information into the group while another set specialized in filtering that information for internal use. We conclude by discussing the theoretical and practical implications of our findings.
机译：随着处理能力的增强以及信息和通信技术成本的急剧下降，员工无处不在地访问和传播信息的能力不断增强。但是，新兴研究表明，人们正在努力处理信息到达的最快速度。信息超载问题对于当代知识密集型组织来说是一个重要的问题，因为它可能会对生产力，决策制定和员工士气产生不利影响。为了解决这个问题，组织经常投资于技术解决方案，例如商业智能软件或语义技术。尽管这样的技术方法无疑可以帮助减少信息过载，但是人们很少关注于了解集体行为，尤其是事务性存储系统如何增强组织应对信息过载的能力。在这项研究中，我们询问事务存储系统是否（以及（如果有的话）如何）充当集体过滤器，以使组织团体能够减轻信息过载的可能性。我们使用了来自生命科学行业两家高科技公司研发部门的社交网络分析和访谈证据，发现个人自发组织而没有任何集中控制，从而创建了一个集体过滤器。例如，我们发现一组专门致力于将外部信息过滤到该组中的个人，而另一组专门针对该信息进行过滤以供内部使用。最后，我们讨论了我们发现的理论和实践意义。

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