Does Information Traffic Matter to Accounting Information Usefulness? Evidence from Internet Search Data

Zhulin Huang, Bixia Xu
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Abstract

Accounting information can generate economic and social welfare effects through its various impacts on the investor community and the function of the capital market. How to improve the usefulness of the information has long been one of the major concerns of accounting policy makers. This study initiates the concept of information traffic to capture investors’ online keyword information search frequency and explore whether such search frequency contains any ability to predict the usefulness of accounting information. The investigation of information traffic on 59 accounting and accounting-derived information items reveals that information items with more traffic (i.e., higher online users’ search frequency) are associated with higher observed usefulness. Further analysis yields results that indicate varying traffics associated with different information categories, which provides explanations for the cross-category variation in observed usefulness. The proposed integrated measure of information traffic and usefulness suggests an order in importance of the 10 information categories we investigate from standard setting’s point of view. Dynamics analysis of information traffic sheds light on the understanding of changes in investor information interest and need. This study suggests a new angle for accounting policy makers and researchers to understand and further improve the usefulness of accounting information.
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信息流量对会计信息有用性有影响吗?来自互联网搜索数据的证据
会计信息通过对投资者群体和资本市场功能的各种影响,产生经济和社会福利效应。如何提高会计信息的有用性一直是会计决策者关注的主要问题之一。本研究提出了信息流量的概念,以捕捉投资者在线关键字信息的搜索频率,并探讨这种搜索频率是否包含预测会计信息有用性的能力。通过对59个会计和会计衍生信息项目信息流量的调查发现,流量越大的信息项目(即在线用户搜索频率越高),观察到的有用性越高。进一步分析得出的结果表明,与不同信息类别相关的流量不同,这为观察到的有用性的跨类别差异提供了解释。提出的信息流量和有用性的综合度量建议我们从标准制定的角度调查的10个信息类别的重要性顺序。信息流量的动态分析有助于理解投资者信息兴趣和需求的变化。本研究为会计政策制定者和研究人员了解和进一步提高会计信息的有用性提供了一个新的角度。
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