Market Valuation of Artificial Intelligence Implementation Announcements

Author:

Huang Cheng-Kui (Tony)1ORCID,Lee Yu-Tsung1ORCID

Affiliation:

1. National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan Roc

Abstract

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.

Funder

Ministry of Science and Technology of the Republic of China

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Management Information Systems

Reference48 articles.

1. Allen , M. ( 2018 ). Intercoder reliability techniques: Percent agreement . In: The SAGE Encyclopedia of Communication Research Methods, https://dx.doi.org/10.4135/9781483381411.n260. 10.4135/9781483381411.n260 Allen, M. (2018). Intercoder reliability techniques: Percent agreement. In: The SAGE Encyclopedia of Communication Research Methods, https://dx.doi.org/10.4135/9781483381411.n260.

2. Firm Resources and Sustained Competitive Advantage

3. Brynjolfsson , E. , & Mcafee , A. ( 2017 ). The business of artificial intelligence. Harvard Business Review . Brynjolfsson, E., & Mcafee, A. (2017). The business of artificial intelligence. Harvard Business Review.

4. Firm Resources and Sustained Competitive Advantage

5. Brynjolfsson , E. , & Mcafee , A. ( 2017 ). The business of artificial intelligence. Harvard Business Review . Brynjolfsson, E., & Mcafee, A. (2017). The business of artificial intelligence. Harvard Business Review.

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