國立虎尾科技大學 |

Strategic Decisions at the Intersection of AI and Marketing /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Strategic Decisions at the Intersection of AI and Marketing // Evelyn Olivia Smith.
作者:	Smith, Evelyn Olivia,
面頁冊數:	1 electronic resource (96 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
Contained By:	Dissertations Abstracts International86-01B.
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31298731
ISBN:	9798383227206

Strategic Decisions at the Intersection of AI and Marketing /
Smith, Evelyn Olivia,

Strategic Decisions at the Intersection of AI and Marketing /Evelyn Olivia Smith. - 1 electronic resource (96 pages)

Source: Dissertations Abstracts International, Volume: 86-01, Section: B.

Artificial Intelligence (AI) systems are widely adopted by firms to automate tasks such as recommending content, creating advertisements, and conducting marketing research. The primary objective of this research is to broaden our understanding of the interactions among firms, consumers, and AI. This objective is achieved through the development and analysis of a game theory model of firm and consumer reactions to an algorithmic policy, and through the analysis of portrait graphics created by generative AI. Modeling the strategic behaviors of content firms and consumers, I show that an algorithmic constraint requiring recommendation equality between groups can benefit consumers from both groups, increase AI learning investment, or inadvertently harm the consumers it aims to protect. Using generative AI as an example, I empirically show how AI exhibits single-identity and intersectional biases in the depiction of portraits for different occupations. The research extends the marketing literature through theoretical contributions and provides implications of marketing decisions for firms and users interacting with AI systems.

English

ISBN: 9798383227206Subjects--Topical Terms:

556824
Statistics.
Subjects--Index Terms:

Content recommendation

Strategic Decisions at the Intersection of AI and Marketing /
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520 $a Artificial Intelligence (AI) systems are widely adopted by firms to automate tasks such as recommending content, creating advertisements, and conducting marketing research. The primary objective of this research is to broaden our understanding of the interactions among firms, consumers, and AI. This objective is achieved through the development and analysis of a game theory model of firm and consumer reactions to an algorithmic policy, and through the analysis of portrait graphics created by generative AI. Modeling the strategic behaviors of content firms and consumers, I show that an algorithmic constraint requiring recommendation equality between groups can benefit consumers from both groups, increase AI learning investment, or inadvertently harm the consumers it aims to protect. Using generative AI as an example, I empirically show how AI exhibits single-identity and intersectional biases in the depiction of portraits for different occupations. The research extends the marketing literature through theoretical contributions and provides implications of marketing decisions for firms and users interacting with AI systems.
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