异常收益
事件研究
估价(财务)
竞争情报
订单(交换)
事件(粒子物理)
市场价值
价值(数学)
计量经济学
经济
业务
计算机科学
营销
财务
机器学习
古生物学
背景(考古学)
物理
量子力学
证券交易所
生物
作者
Tony Cheng-Kui Huang,Yu-Tsung Lee
出处
期刊:ACM Sigmis Database
日期:2023-04-27
卷期号:54 (2): 9-28
被引量:2
标识
DOI:10.1145/3595863.3595866
摘要
With the advent of artificial intelligence (AI), more and more enterprises have begun developing AI to promote their own competitive advantage and increase their business value. In order to reveal the value-added results of AI implementation, this study adopts an event study methodology to capture the abnormal returns resulting from the announcement of AI implementation. Based on the empirical results of this study, in response to the announcement of AI implementation, we find significant positive abnormal returns on the event day. With respect to the grouping analysis, the results show significant differences in average cumulative abnormal returns between announcements with detailed information and those without detailed information. In addition, our findings present significant differences in average cumulative abnormal returns between IT-companies and non-IT companies on the event day. Ultimately, according to the content analysis, only one characteristic, the frequency of negative words, is modestly and negatively correlated with average cumulative abnormal returns.
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