价值(数学)
考试(生物学)
市场情报
计算机科学
营销
商业智能
人工智能
知识管理
数据科学
业务
机器学习
数据挖掘
古生物学
生物
作者
Ashkan Fredström,Vinit Parida,Joakim Wincent,David Sjödin,Pejvak Oghazi
标识
DOI:10.1016/j.techfore.2022.121716
摘要
As AI and ML technologies are increasingly incorporated into products, there is a need to understand the role of these incorporations in enhancing performance. This study uses new types of methodology related to textual data analysis to explore the question of whether there is a difference between market sentiments—and consequently marketing and business performance—when it comes to communicating either AI or ML. We test and confirm the hypothesis that AI rather than ML attracts more positive sentiments in the marketplace. Additionally, we find that AI is mostly used when the discussion centers on innovativeness, and that discussions concerning collaboration in these technologies attract more positive sentiments. We further contribute methodologically by leveraging textual data available online on the titles of web-page contents and the results of the Vader sentiment analysis to test our hypothesis. We conclude that, to enhance business performance, firms should communicate using AI-related vocabulary especially when the topic is innovativeness and collaboration.
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